diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0086d96e152bf87a/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0086d96e152bf87a/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ee7f70549c2d42980f60a6e0d6328b97d133ef1f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0086d96e152bf87a/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9799, "bytes_utf8": 9799, "lines": 302, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 615, "bytes_utf8": 615, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15059, "cached_input_tokens": 12032, "output_tokens": 518, "reasoning_output_tokens": 335}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0086d96e152bf87a/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0086d96e152bf87a/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..68be181066e6611e8a1c5c65e2964ab93cc18a65 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0086d96e152bf87a/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_0086d96e152bf87a", + "api_calls": 0, + "input_tokens": 15059, + "cached_input_tokens": 12032, + "output_tokens": 518, + "total_tokens": 15577, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12406.36, + "sql_execution_elapsed_ms_total": 14.49, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0086d96e152bf87a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0086d96e152bf87a/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0086d96e152bf87a/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..0bbea2a03445a5a27e5bd8500a6e14de7428e270 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0086d96e152bf87a/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:38:30.603815+00:00", + "ended_at": "2026-05-19T15:38:43.010193+00:00", + "elapsed_ms": 12406.36, + "prompt_metrics": { + "chars": 9799, + "bytes_utf8": 9799, + "lines": 302, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1011, + "bytes_utf8": 1011, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 615, + "bytes_utf8": 615, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15059, + "cached_input_tokens": 12032, + "output_tokens": 518, + "reasoning_output_tokens": 335 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0086d96e152bf87a/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0086d96e152bf87a/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..98021ba6075809ff0d8dc1105e4848baf6dc56d6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0086d96e152bf87a/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,302 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=feature_16, measure_col=feature_1.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "feature_16", + "measure_col": "feature_1", + "item_col": "feature_2", + "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": 50.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_0086d96e152bf87a/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0086d96e152bf87a/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..789e7d7aae65cd165c8962acd8127cabb903c170 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0086d96e152bf87a/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e3-7c64-79e1-b82a-5913e4e117a5"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"feature_16\\\", \\\"feature_2\\\",\\n SUM(CAST(\\\"feature_1\\\" AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(\\\"feature_1\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"feature_1\\\" AS REAL))) OVER (PARTITION BY \\\"feature_16\\\") AS \\\"share_within_group\\\"\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_16\\\", \\\"feature_2\\\"\\nORDER BY \\\"share_within_group\\\" DESC;\",\"notes\":\"Applied the Within-Group Share of Total template with group_col=\\\"feature_16\\\", item_col=\\\"feature_2\\\", and measure_col=\\\"feature_1\\\". Cast \\\"feature_1\\\" from TEXT to REAL for numeric aggregation in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15059,"cached_input_tokens":12032,"output_tokens":518,"reasoning_output_tokens":335}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0086d96e152bf87a/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0086d96e152bf87a/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6270c30cbb047bf6831339b414a9073195b8a078 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0086d96e152bf87a/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"feature_16\", \"feature_2\",\n SUM(CAST(\"feature_1\" AS REAL)) AS \"total_measure\",\n SUM(CAST(\"feature_1\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"feature_1\" AS REAL))) OVER (PARTITION BY \"feature_16\") AS \"share_within_group\"\nFROM \"n9\"\nGROUP BY \"feature_16\", \"feature_2\"\nORDER BY \"share_within_group\" DESC;","notes":"Applied the Within-Group Share of Total template with group_col=\"feature_16\", item_col=\"feature_2\", and measure_col=\"feature_1\". Cast \"feature_1\" from TEXT to REAL for numeric aggregation in SQLite."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0086d96e152bf87a/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0086d96e152bf87a/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_009274372ae62a75/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_009274372ae62a75/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2ce60f20ad14334f64ac011ba632e8f2d072c572 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_009274372ae62a75/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9558, "bytes_utf8": 9558, "lines": 298, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 547, "bytes_utf8": 547, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14991, "cached_input_tokens": 13696, "output_tokens": 536, "reasoning_output_tokens": 385}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_009274372ae62a75/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_009274372ae62a75/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..34908080ee03aa6fad3fbd73bb026c766777dbc4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_009274372ae62a75/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_009274372ae62a75", + "api_calls": 0, + "input_tokens": 14991, + "cached_input_tokens": 13696, + "output_tokens": 536, + "total_tokens": 15527, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14016.45, + "sql_execution_elapsed_ms_total": 12.73, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_009274372ae62a75/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_009274372ae62a75/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_009274372ae62a75/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c8dbc4ef692db1f94f6353e2f5dae974510ee444 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_009274372ae62a75/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:45:19.968475+00:00", + "ended_at": "2026-05-19T15:45:33.984945+00:00", + "elapsed_ms": 14016.45, + "prompt_metrics": { + "chars": 9558, + "bytes_utf8": 9558, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 911, + "bytes_utf8": 911, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 547, + "bytes_utf8": 547, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14991, + "cached_input_tokens": 13696, + "output_tokens": 536, + "reasoning_output_tokens": 385 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_009274372ae62a75/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_009274372ae62a75/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ada44c2faa64473ae1f7e503146a3282b75c8b9c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_009274372ae62a75/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=feature_3.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "bindings": { + "measure_col": "feature_3", + "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": 58.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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_a/n9/artifacts/v2q_n9_009274372ae62a75/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_009274372ae62a75/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f8ad3437823e100e2a1f79d743d455b1e0736b12 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_009274372ae62a75/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e9-bb8b-7340-807e-48444dcfb628"} +{"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 \\\"feature_3\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"feature_3\\\" AS INTEGER) DESC) AS tail_bucket\\n FROM \\\"n9\\\"\\n)\\nSELECT \\\"feature_3\\\"\\nFROM buckets\\nWHERE tail_bucket = 1\\nORDER BY CAST(\\\"feature_3\\\" AS INTEGER) DESC;\",\"notes\":\"Applied the Quantile Tail Slice template with measure_col bound to \\\"feature_3\\\" and num_tiles=10. CAST(\\\"feature_3\\\" AS INTEGER) is used for correct numeric ordering because the SQLite schema stores features as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14991,"cached_input_tokens":13696,"output_tokens":536,"reasoning_output_tokens":385}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_009274372ae62a75/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_009274372ae62a75/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b4ce098d96248fe22c5a5d44ae3f02bd1c91e74a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_009274372ae62a75/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_quantile_tail_slice\nWITH buckets AS (\n SELECT\n \"feature_3\",\n NTILE(10) OVER (ORDER BY CAST(\"feature_3\" AS INTEGER) DESC) AS tail_bucket\n FROM \"n9\"\n)\nSELECT \"feature_3\"\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY CAST(\"feature_3\" AS INTEGER) DESC;","notes":"Applied the Quantile Tail Slice template with measure_col bound to \"feature_3\" and num_tiles=10. CAST(\"feature_3\" AS INTEGER) is used for correct numeric ordering because the SQLite schema stores features as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_009274372ae62a75/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_009274372ae62a75/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0209729875e8a0e5/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0209729875e8a0e5/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..06a982777ec11235f142e06bbaabef09c4e2395d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0209729875e8a0e5/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9805, "bytes_utf8": 9805, "lines": 302, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 566, "bytes_utf8": 566, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15060, "cached_input_tokens": 13696, "output_tokens": 595, "reasoning_output_tokens": 415}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0209729875e8a0e5/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0209729875e8a0e5/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..58f8de4569f644ab193698fd04c27eefd0dba745 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0209729875e8a0e5/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_0209729875e8a0e5", + "api_calls": 0, + "input_tokens": 15060, + "cached_input_tokens": 13696, + "output_tokens": 595, + "total_tokens": 15655, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12420.34, + "sql_execution_elapsed_ms_total": 16.52, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0209729875e8a0e5/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0209729875e8a0e5/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0209729875e8a0e5/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e0775076a7d2405ad1b4fd97e9d33da800ec9b37 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0209729875e8a0e5/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": "2026-05-19T15:35:27.009928+00:00", + "ended_at": "2026-05-19T15:35:39.430296+00:00", + "elapsed_ms": 12420.34, + "prompt_metrics": { + "chars": 9805, + "bytes_utf8": 9805, + "lines": 302, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 948, + "bytes_utf8": 948, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 566, + "bytes_utf8": 566, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15060, + "cached_input_tokens": 13696, + "output_tokens": 595, + "reasoning_output_tokens": 415 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0209729875e8a0e5/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0209729875e8a0e5/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4c10444c9bf5b3f0c879a8236ce0da2a2af9cdad --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0209729875e8a0e5/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,302 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=feature_10, measure_col=feature_11.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "feature_10", + "measure_col": "feature_11", + "item_col": "feature_12", + "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": 97.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_0209729875e8a0e5/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0209729875e8a0e5/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e71baad87dba6a78d09956e0afa970596afc2c7f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0209729875e8a0e5/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e0-af15-78d0-9802-233a99263d87"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"feature_10\\\",\\n \\\"feature_12\\\",\\n SUM(CAST(\\\"feature_11\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"feature_11\\\" AS REAL)) * 100.0 / NULLIF(SUM(SUM(CAST(\\\"feature_11\\\" AS REAL))) OVER (PARTITION BY \\\"feature_10\\\"), 0) AS share_within_group\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_10\\\", \\\"feature_12\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Uses the Within-Group Share of Total template with \\\"feature_10\\\" as group_col, \\\"feature_12\\\" as item_col, and summed numeric \\\"feature_11\\\" as measure_col.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15060,"cached_input_tokens":13696,"output_tokens":595,"reasoning_output_tokens":415}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0209729875e8a0e5/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0209729875e8a0e5/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..54a423b3afedf2841d10d6f99267da1f94b3f8ff --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0209729875e8a0e5/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"feature_10\",\n \"feature_12\",\n SUM(CAST(\"feature_11\" AS REAL)) AS total_measure,\n SUM(CAST(\"feature_11\" AS REAL)) * 100.0 / NULLIF(SUM(SUM(CAST(\"feature_11\" AS REAL))) OVER (PARTITION BY \"feature_10\"), 0) AS share_within_group\nFROM \"n9\"\nGROUP BY \"feature_10\", \"feature_12\"\nORDER BY share_within_group DESC;","notes":"Uses the Within-Group Share of Total template with \"feature_10\" as group_col, \"feature_12\" as item_col, and summed numeric \"feature_11\" as measure_col."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0209729875e8a0e5/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0209729875e8a0e5/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_04c4c9066453fea0/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_04c4c9066453fea0/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..daf7d6483f11591a5ca629c992496acf2afeb98e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_04c4c9066453fea0/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9326, "bytes_utf8": 9326, "lines": 298, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 378, "bytes_utf8": 378, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14927, "cached_input_tokens": 12032, "output_tokens": 368, "reasoning_output_tokens": 259}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_04c4c9066453fea0/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_04c4c9066453fea0/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..659981ce39fc35e3f3be9ba23de5da12bdd9a323 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_04c4c9066453fea0/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_04c4c9066453fea0", + "api_calls": 0, + "input_tokens": 14927, + "cached_input_tokens": 12032, + "output_tokens": 368, + "total_tokens": 15295, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9150.07, + "sql_execution_elapsed_ms_total": 2.83, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_04c4c9066453fea0/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_04c4c9066453fea0/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_04c4c9066453fea0/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b8c12a16a66435e92aca86613d689eff67f5ee62 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_04c4c9066453fea0/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": "2026-05-19T16:03:42.761627+00:00", + "ended_at": "2026-05-19T16:03:51.911727+00:00", + "elapsed_ms": 9150.07, + "prompt_metrics": { + "chars": 9326, + "bytes_utf8": 9326, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 722, + "bytes_utf8": 722, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 378, + "bytes_utf8": 378, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14927, + "cached_input_tokens": 12032, + "output_tokens": 368, + "reasoning_output_tokens": 259 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_04c4c9066453fea0/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_04c4c9066453fea0/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6293834f8f6a4fba05235291da72e61d84d3adb6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_04c4c9066453fea0/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=feature_13.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "feature_13", + "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": 68.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_04c4c9066453fea0/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_04c4c9066453fea0/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..8588047515562c3df4dcbab370cb3711dee71244 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_04c4c9066453fea0/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-8f52-79f1-a815-18244f127ca9"} +{"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(\\\"feature_13\\\" AS REAL) <= 68.0 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"n9\\\";\",\"notes\":\"Applied the Threshold Rarity CDF template with measure_col bound to \\\"feature_13\\\" and measure_threshold fixed at 68.0. CAST to REAL is used because the schema stores feature columns as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14927,"cached_input_tokens":12032,"output_tokens":368,"reasoning_output_tokens":259}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_04c4c9066453fea0/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_04c4c9066453fea0/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..eaa7183b67ece7b96f1025fd5dfa67cffc2ae9d0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_04c4c9066453fea0/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_threshold_rarity_cdf\nSELECT AVG(CASE WHEN CAST(\"feature_13\" AS REAL) <= 68.0 THEN 1 ELSE 0 END) AS \"empirical_cdf_at_threshold\"\nFROM \"n9\";","notes":"Applied the Threshold Rarity CDF template with measure_col bound to \"feature_13\" and measure_threshold fixed at 68.0. CAST to REAL is used because the schema stores feature columns as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_04c4c9066453fea0/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_04c4c9066453fea0/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0646409f2deb6567/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0646409f2deb6567/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a5bc9cf3165eb3cd417f37dbd242a0aca434990a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0646409f2deb6567/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9628, "bytes_utf8": 9628, "lines": 303, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 390, "bytes_utf8": 390, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14997, "cached_input_tokens": 12032, "output_tokens": 459, "reasoning_output_tokens": 342}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0646409f2deb6567/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0646409f2deb6567/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..547f8b101686ad462ba029953a806f9a808e8482 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0646409f2deb6567/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_0646409f2deb6567", + "api_calls": 0, + "input_tokens": 14997, + "cached_input_tokens": 12032, + "output_tokens": 459, + "total_tokens": 15456, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10396.28, + "sql_execution_elapsed_ms_total": 10.09, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0646409f2deb6567/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0646409f2deb6567/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0646409f2deb6567/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..cb64dd602b58013e754491fbe0cfc7a6c41c8a83 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0646409f2deb6567/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": "2026-05-19T16:03:14.263032+00:00", + "ended_at": "2026-05-19T16:03:24.659340+00:00", + "elapsed_ms": 10396.28, + "prompt_metrics": { + "chars": 9628, + "bytes_utf8": 9628, + "lines": 303, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 754, + "bytes_utf8": 754, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 390, + "bytes_utf8": 390, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14997, + "cached_input_tokens": 12032, + "output_tokens": 459, + "reasoning_output_tokens": 342 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0646409f2deb6567/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0646409f2deb6567/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a285e9834447cbc5b7f12c039ca6dd97cc291a7f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0646409f2deb6567/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,303 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=feature_1, condition_col=class.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "feature_1", + "condition_col": "class", + "condition_value": "4", + "positive_value": "2", + "negative_value": "4", + "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": 74.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_0646409f2deb6567/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0646409f2deb6567/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..42f4f6e21299b0ab0649364b85f1085035f62574 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0646409f2deb6567/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-1fea-7f60-88e1-c66fff7894ea"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT\\n \\\"feature_1\\\",\\n AVG(CASE WHEN \\\"class\\\" = '4' THEN 1.0 ELSE 0.0 END) AS \\\"condition_rate\\\"\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_1\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Uses the planned Grouped Condition Rate template with group_col=\\\"feature_1\\\" and condition_col=\\\"class\\\", treating class='4' as the target condition.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14997,"cached_input_tokens":12032,"output_tokens":459,"reasoning_output_tokens":342}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0646409f2deb6567/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0646409f2deb6567/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1b02a13cd965328ad3cca9bcb26cd2a797909504 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0646409f2deb6567/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT\n \"feature_1\",\n AVG(CASE WHEN \"class\" = '4' THEN 1.0 ELSE 0.0 END) AS \"condition_rate\"\nFROM \"n9\"\nGROUP BY \"feature_1\"\nORDER BY \"condition_rate\" DESC;","notes":"Uses the planned Grouped Condition Rate template with group_col=\"feature_1\" and condition_col=\"class\", treating class='4' as the target condition."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0646409f2deb6567/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0646409f2deb6567/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0811c2bf2bae56d4/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0811c2bf2bae56d4/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a7640e42ed2c0047e50ea54974e8450c2e9646b0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0811c2bf2bae56d4/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:08:03.179163+00:00", + "ended_at": "2026-05-19T16:08:06.541504+00:00", + "elapsed_ms": 3362.31, + "returncode": 1, + "prompt_metrics": { + "chars": 9476, + "bytes_utf8": 9476, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0811c2bf2bae56d4/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0811c2bf2bae56d4/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..fb14e6f7c45b93da6e9be7d89328423ae6921362 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0811c2bf2bae56d4/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:08:07.543642+00:00", + "ended_at": "2026-05-19T16:08:10.486197+00:00", + "elapsed_ms": 2942.52, + "returncode": 1, + "prompt_metrics": { + "chars": 9476, + "bytes_utf8": 9476, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0811c2bf2bae56d4/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0811c2bf2bae56d4/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8c03a4ed5bbfa85ff417e2d0f9cf035593f3a09d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0811c2bf2bae56d4/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=feature_14, measure_col=feature_5.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "feature_14", + "measure_col": "feature_5", + "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": 69.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_0811c2bf2bae56d4/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0811c2bf2bae56d4/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..8c03a4ed5bbfa85ff417e2d0f9cf035593f3a09d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0811c2bf2bae56d4/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=feature_14, measure_col=feature_5.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "feature_14", + "measure_col": "feature_5", + "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": 69.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_0811c2bf2bae56d4/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0811c2bf2bae56d4/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..759ff5afd4a9b233bcc94bedce68213ebe7af670 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0811c2bf2bae56d4/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-8865-7db0-9989-44e21f8c4d25"} +{"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_a/n9/artifacts/v2q_n9_0811c2bf2bae56d4/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0811c2bf2bae56d4/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..bb35f35063419902c868cd77a38938d8c99dd667 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0811c2bf2bae56d4/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-8865-7db0-9989-44e21f8c4d25"} +{"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_a/n9/artifacts/v2q_n9_0811c2bf2bae56d4/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0811c2bf2bae56d4/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c7ff3bcb687be8c34dc1d6326018fb1f6895d17f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0811c2bf2bae56d4/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-996f-7823-ad7b-1442db61e478"} +{"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_a/n9/artifacts/v2q_n9_0811c2bf2bae56d4/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0811c2bf2bae56d4/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..201e7518d9c04c675bb3ec29b76ad4a432dd570c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0811c2bf2bae56d4/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-996f-7823-ad7b-1442db61e478"} +{"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_a/n9/artifacts/v2q_n9_0811c2bf2bae56d4/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0811c2bf2bae56d4/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0811c2bf2bae56d4/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0811c2bf2bae56d4/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0b08cef145edec67/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0b08cef145edec67/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b54f7497948776b11b1ac1b510d4a162dc52e4ff --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0b08cef145edec67/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9794, "bytes_utf8": 9794, "lines": 302, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 580, "bytes_utf8": 580, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15056, "cached_input_tokens": 12032, "output_tokens": 687, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0b08cef145edec67/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0b08cef145edec67/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..af09720efa2283a5b71171710c7e90f082368133 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0b08cef145edec67/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_0b08cef145edec67", + "api_calls": 0, + "input_tokens": 15056, + "cached_input_tokens": 12032, + "output_tokens": 687, + "total_tokens": 15743, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13548.1, + "sql_execution_elapsed_ms_total": 10.57, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0b08cef145edec67/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0b08cef145edec67/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0b08cef145edec67/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..770e467cb40295e55404b05d5edabce741981be0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0b08cef145edec67/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:38:56.143514+00:00", + "ended_at": "2026-05-19T15:39:09.691645+00:00", + "elapsed_ms": 13548.1, + "prompt_metrics": { + "chars": 9794, + "bytes_utf8": 9794, + "lines": 302, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 962, + "bytes_utf8": 962, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 580, + "bytes_utf8": 580, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15056, + "cached_input_tokens": 12032, + "output_tokens": 687, + "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_a/n9/artifacts/v2q_n9_0b08cef145edec67/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0b08cef145edec67/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3910b2563d5ab8d3a0b83647b945aba87873b531 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0b08cef145edec67/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,302 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=class, measure_col=feature_2.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "class", + "measure_col": "feature_2", + "item_col": "feature_3", + "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": 96.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_0b08cef145edec67/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0b08cef145edec67/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..96eacb9f6c6b75a33b02e0db8c1093e42be50ac8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0b08cef145edec67/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e3-e015-71e2-aa23-12100f0277c5"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"class\\\",\\n \\\"feature_3\\\",\\n SUM(CAST(\\\"feature_2\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"feature_2\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"feature_2\\\" AS REAL))) OVER (PARTITION BY \\\"class\\\") AS share_within_group\\nFROM \\\"n9\\\"\\nGROUP BY \\\"class\\\", \\\"feature_3\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the provided Within-Group Share of Total template with group_col=\\\"class\\\", item_col=\\\"feature_3\\\", and measure_col=\\\"feature_2\\\". CAST is used because the schema stores feature columns as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15056,"cached_input_tokens":12032,"output_tokens":687,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0b08cef145edec67/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0b08cef145edec67/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f1d0381ba6086988654d85748dddf4178a290dcf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0b08cef145edec67/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"class\",\n \"feature_3\",\n SUM(CAST(\"feature_2\" AS REAL)) AS total_measure,\n SUM(CAST(\"feature_2\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"feature_2\" AS REAL))) OVER (PARTITION BY \"class\") AS share_within_group\nFROM \"n9\"\nGROUP BY \"class\", \"feature_3\"\nORDER BY share_within_group DESC;","notes":"Applied the provided Within-Group Share of Total template with group_col=\"class\", item_col=\"feature_3\", and measure_col=\"feature_2\". CAST is used because the schema stores feature columns as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0b08cef145edec67/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0b08cef145edec67/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0e469b11e992d3f0/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0e469b11e992d3f0/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..66a06c4e663aef9d504e4e93b9e038f2c5e44251 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0e469b11e992d3f0/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:08:24.920768+00:00", + "ended_at": "2026-05-19T16:08:27.479746+00:00", + "elapsed_ms": 2558.96, + "returncode": 1, + "prompt_metrics": { + "chars": 9477, + "bytes_utf8": 9477, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0e469b11e992d3f0/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0e469b11e992d3f0/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a68a61797e5250b79f5bd288736a2fabe45de342 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0e469b11e992d3f0/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:08:28.481857+00:00", + "ended_at": "2026-05-19T16:08:31.224107+00:00", + "elapsed_ms": 2742.21, + "returncode": 1, + "prompt_metrics": { + "chars": 9477, + "bytes_utf8": 9477, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0e469b11e992d3f0/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0e469b11e992d3f0/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..66b6d38f3be78904fafc3e72f2469714e5aba66d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0e469b11e992d3f0/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=feature_16, measure_col=feature_7.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "feature_16", + "measure_col": "feature_7", + "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": 74.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_0e469b11e992d3f0/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0e469b11e992d3f0/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..66b6d38f3be78904fafc3e72f2469714e5aba66d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0e469b11e992d3f0/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=feature_16, measure_col=feature_7.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "feature_16", + "measure_col": "feature_7", + "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": 74.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_0e469b11e992d3f0/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0e469b11e992d3f0/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..8fa57133fed9dcd8aa78ed81b5d180c63957c742 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0e469b11e992d3f0/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-dd4d-70f0-b175-6ca837bc3136"} +{"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_a/n9/artifacts/v2q_n9_0e469b11e992d3f0/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0e469b11e992d3f0/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ad7288cceef65dab605bbc9e9879dd3a80aa4c69 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0e469b11e992d3f0/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-dd4d-70f0-b175-6ca837bc3136"} +{"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_a/n9/artifacts/v2q_n9_0e469b11e992d3f0/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0e469b11e992d3f0/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..efaac557b4b7fa1f967df15f5eda10f64e5bdfcf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0e469b11e992d3f0/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-eb41-7a61-8935-ba8acaa795de"} +{"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_a/n9/artifacts/v2q_n9_0e469b11e992d3f0/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0e469b11e992d3f0/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..d80f73d6bf8f0d1f79ba0a352a450d141b4139dd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0e469b11e992d3f0/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-eb41-7a61-8935-ba8acaa795de"} +{"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_a/n9/artifacts/v2q_n9_0e469b11e992d3f0/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0e469b11e992d3f0/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0e469b11e992d3f0/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0e469b11e992d3f0/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0ec4c3649d00fef8/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0ec4c3649d00fef8/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8713e49a69162dc986f9321c828be52bc738365e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0ec4c3649d00fef8/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9805, "bytes_utf8": 9805, "lines": 302, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 612, "bytes_utf8": 612, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15060, "cached_input_tokens": 13696, "output_tokens": 693, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0ec4c3649d00fef8/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0ec4c3649d00fef8/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..dcfbfce806b0d87469b4914213a6a17c721266f8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0ec4c3649d00fef8/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_0ec4c3649d00fef8", + "api_calls": 0, + "input_tokens": 15060, + "cached_input_tokens": 13696, + "output_tokens": 693, + "total_tokens": 15753, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 16240.35, + "sql_execution_elapsed_ms_total": 16.39, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0ec4c3649d00fef8/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0ec4c3649d00fef8/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0ec4c3649d00fef8/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4b487fd398ba706ba82fe97cbc5a32fc5d90dfff --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0ec4c3649d00fef8/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:36:26.322458+00:00", + "ended_at": "2026-05-19T15:36:42.562840+00:00", + "elapsed_ms": 16240.35, + "prompt_metrics": { + "chars": 9805, + "bytes_utf8": 9805, + "lines": 302, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 980, + "bytes_utf8": 980, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 612, + "bytes_utf8": 612, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15060, + "cached_input_tokens": 13696, + "output_tokens": 693, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0ec4c3649d00fef8/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0ec4c3649d00fef8/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ff28c41120bf7a075a8a9da43178491bcfc212eb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0ec4c3649d00fef8/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,302 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=feature_12, measure_col=feature_13.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "feature_12", + "measure_col": "feature_13", + "item_col": "feature_14", + "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": 68.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_0ec4c3649d00fef8/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0ec4c3649d00fef8/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..1a46dbd0489c22e1da41531c503171bea0aeaee4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0ec4c3649d00fef8/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e1-96e8-7ab1-96a5-516b3d6b00f5"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"feature_12\\\", \\\"feature_14\\\",\\n SUM(CAST(\\\"feature_13\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"feature_13\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"feature_13\\\" AS REAL))) OVER (PARTITION BY \\\"feature_12\\\") AS share_within_group\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_12\\\", \\\"feature_14\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the provided Within-Group Share of Total template with group_col=feature_12, item_col=feature_14, and measure_col=feature_13. CAST to REAL is used because the schema stores these numeric fields as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15060,"cached_input_tokens":13696,"output_tokens":693,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0ec4c3649d00fef8/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0ec4c3649d00fef8/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9a70ab9b4e3953c77417b3dd42dfb18296244a5c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0ec4c3649d00fef8/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"feature_12\", \"feature_14\",\n SUM(CAST(\"feature_13\" AS REAL)) AS total_measure,\n SUM(CAST(\"feature_13\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"feature_13\" AS REAL))) OVER (PARTITION BY \"feature_12\") AS share_within_group\nFROM \"n9\"\nGROUP BY \"feature_12\", \"feature_14\"\nORDER BY share_within_group DESC;","notes":"Applied the provided Within-Group Share of Total template with group_col=feature_12, item_col=feature_14, and measure_col=feature_13. CAST to REAL is used because the schema stores these numeric fields as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0ec4c3649d00fef8/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0ec4c3649d00fef8/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_15678180ad917562/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_15678180ad917562/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..69cf67d59de5196ea7414772b6791f8509fad287 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_15678180ad917562/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9800, "bytes_utf8": 9800, "lines": 302, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 576, "bytes_utf8": 576, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15060, "cached_input_tokens": 13696, "output_tokens": 691, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_15678180ad917562/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_15678180ad917562/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..b6c30f0d52e2884611724e74ec767181089bd5de --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_15678180ad917562/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_15678180ad917562", + "api_calls": 0, + "input_tokens": 15060, + "cached_input_tokens": 13696, + "output_tokens": 691, + "total_tokens": 15751, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 16531.47, + "sql_execution_elapsed_ms_total": 19.11, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_15678180ad917562/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_15678180ad917562/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_15678180ad917562/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..8e3de9553dcfa30ba8f330a7a8272b13e0f9ec3d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_15678180ad917562/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": "2026-05-19T15:39:09.706235+00:00", + "ended_at": "2026-05-19T15:39:26.237735+00:00", + "elapsed_ms": 16531.47, + "prompt_metrics": { + "chars": 9800, + "bytes_utf8": 9800, + "lines": 302, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 958, + "bytes_utf8": 958, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 576, + "bytes_utf8": 576, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15060, + "cached_input_tokens": 13696, + "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_a/n9/artifacts/v2q_n9_15678180ad917562/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_15678180ad917562/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..25a2a419d1947227607782f0d5b55723dff937fc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_15678180ad917562/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,302 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=feature_1, measure_col=feature_3.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "feature_1", + "measure_col": "feature_3", + "item_col": "feature_4", + "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": 58.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_15678180ad917562/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_15678180ad917562/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ec3a5ac15ded8cf0196aad6344db577a6ecf526d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_15678180ad917562/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e4-151a-7680-881f-0244a7d8a11f"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"feature_1\\\",\\n \\\"feature_4\\\",\\n SUM(CAST(\\\"feature_3\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"feature_3\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"feature_3\\\" AS REAL))) OVER (PARTITION BY \\\"feature_1\\\") AS share_within_group\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_1\\\", \\\"feature_4\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Used the planned template with group_col=\\\"feature_1\\\", item_col=\\\"feature_4\\\", and measure_col=\\\"feature_3\\\". CAST was added because the schema stores feature columns as TEXT in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15060,"cached_input_tokens":13696,"output_tokens":691,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_15678180ad917562/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_15678180ad917562/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..542ccbac9f219dd1e7a57d90e898e1fcac4a67d3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_15678180ad917562/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"feature_1\",\n \"feature_4\",\n SUM(CAST(\"feature_3\" AS REAL)) AS total_measure,\n SUM(CAST(\"feature_3\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"feature_3\" AS REAL))) OVER (PARTITION BY \"feature_1\") AS share_within_group\nFROM \"n9\"\nGROUP BY \"feature_1\", \"feature_4\"\nORDER BY share_within_group DESC;","notes":"Used the planned template with group_col=\"feature_1\", item_col=\"feature_4\", and measure_col=\"feature_3\". CAST was added because the schema stores feature columns as TEXT in SQLite."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_15678180ad917562/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_15678180ad917562/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_16992fe8afda9285/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_16992fe8afda9285/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9347cf8b1fe02054d11598d7f8b9397f0a9c8971 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_16992fe8afda9285/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9389, "bytes_utf8": 9389, "lines": 300, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 386, "bytes_utf8": 386, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14940, "cached_input_tokens": 12032, "output_tokens": 269, "reasoning_output_tokens": 160}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_16992fe8afda9285/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_16992fe8afda9285/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..31773042fb9ee2693d742efe27c6d8f5cc3ad6e5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_16992fe8afda9285/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_16992fe8afda9285", + "api_calls": 0, + "input_tokens": 14940, + "cached_input_tokens": 12032, + "output_tokens": 269, + "total_tokens": 15209, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 7761.72, + "sql_execution_elapsed_ms_total": 12.37, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_16992fe8afda9285/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_16992fe8afda9285/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_16992fe8afda9285/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..596dfbb1123612210d938e9fdf5568b522c08a85 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_16992fe8afda9285/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": "2026-05-19T15:29:03.403391+00:00", + "ended_at": "2026-05-19T15:29:11.165144+00:00", + "elapsed_ms": 7761.72, + "prompt_metrics": { + "chars": 9389, + "bytes_utf8": 9389, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 748, + "bytes_utf8": 748, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 386, + "bytes_utf8": 386, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14940, + "cached_input_tokens": 12032, + "output_tokens": 269, + "reasoning_output_tokens": 160 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_16992fe8afda9285/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_16992fe8afda9285/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b5e0d3a4abc418f8db299ec71b129e0576236e3d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_16992fe8afda9285/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=feature_3, measure_col=feature_3.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "feature_3", + "measure_col": "feature_3", + "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": 58.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_16992fe8afda9285/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_16992fe8afda9285/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a02e23c4c4e9e775c6605ada28867aa57916e5e3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_16992fe8afda9285/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40da-d4d0-7b51-bffd-590c73c2e98f"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"feature_3\\\", SUM(CAST(\\\"feature_3\\\" AS NUMERIC)) AS \\\"total_measure\\\"\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_3\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Applied the provided Grouped Numeric Sum template with group_col=\\\"feature_3\\\" and measure_col=\\\"feature_3\\\". Used CAST to NUMERIC because the schema stores feature columns as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14940,"cached_input_tokens":12032,"output_tokens":269,"reasoning_output_tokens":160}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_16992fe8afda9285/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_16992fe8afda9285/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..75f913f831272d61403fc386bf0904989dd1f97a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_16992fe8afda9285/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"feature_3\", SUM(CAST(\"feature_3\" AS NUMERIC)) AS \"total_measure\"\nFROM \"n9\"\nGROUP BY \"feature_3\"\nORDER BY \"total_measure\" DESC;","notes":"Applied the provided Grouped Numeric Sum template with group_col=\"feature_3\" and measure_col=\"feature_3\". Used CAST to NUMERIC because the schema stores feature columns as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_16992fe8afda9285/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_16992fe8afda9285/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1c32a8746b48e9fe/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1c32a8746b48e9fe/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..0b09758d3ca49a3a125414264f20c74242370bdc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1c32a8746b48e9fe/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:05:12.176666+00:00", + "ended_at": "2026-05-19T16:05:15.520843+00:00", + "elapsed_ms": 3344.15, + "returncode": 1, + "prompt_metrics": { + "chars": 9378, + "bytes_utf8": 9378, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1c32a8746b48e9fe/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1c32a8746b48e9fe/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..47311372f2ab91098fa3a23c439aead2787fafae --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1c32a8746b48e9fe/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": "2026-05-19T16:05:16.523241+00:00", + "ended_at": "2026-05-19T16:05:19.270638+00:00", + "elapsed_ms": 2747.34, + "returncode": 1, + "prompt_metrics": { + "chars": 9378, + "bytes_utf8": 9378, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1c32a8746b48e9fe/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1c32a8746b48e9fe/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0cffe959558df4db3a6cb5572deec6c9b5a2e85f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1c32a8746b48e9fe/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role count_distribution. Focus on group_col=feature_2.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "feature_2", + "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": 89.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_1c32a8746b48e9fe/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1c32a8746b48e9fe/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..0cffe959558df4db3a6cb5572deec6c9b5a2e85f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1c32a8746b48e9fe/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role count_distribution. Focus on group_col=feature_2.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "feature_2", + "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": 89.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_1c32a8746b48e9fe/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1c32a8746b48e9fe/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6d7602c5e27f9192231de6065dbbba4554ee94ed --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1c32a8746b48e9fe/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-ec68-7dd1-839d-2235bbcb3a9f"} +{"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_a/n9/artifacts/v2q_n9_1c32a8746b48e9fe/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1c32a8746b48e9fe/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1a0dc54f5d07edc916d74da6d5594bb128e2fcda --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1c32a8746b48e9fe/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-ec68-7dd1-839d-2235bbcb3a9f"} +{"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_a/n9/artifacts/v2q_n9_1c32a8746b48e9fe/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1c32a8746b48e9fe/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5755d272d1390947a46ca8304860b8ffada0da8d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1c32a8746b48e9fe/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-fd65-7322-890c-36a76fae831b"} +{"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_a/n9/artifacts/v2q_n9_1c32a8746b48e9fe/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1c32a8746b48e9fe/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..d650a5c80e96c5e1432e3f865013af9e5a489274 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1c32a8746b48e9fe/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-fd65-7322-890c-36a76fae831b"} +{"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_a/n9/artifacts/v2q_n9_1c32a8746b48e9fe/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1c32a8746b48e9fe/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1c32a8746b48e9fe/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1c32a8746b48e9fe/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1de89bcde10c70dc/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1de89bcde10c70dc/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..bf5891187ac73e2c4843779b0bdea18f94e60092 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1de89bcde10c70dc/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9560, "bytes_utf8": 9560, "lines": 298, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 523, "bytes_utf8": 523, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14991, "cached_input_tokens": 13696, "output_tokens": 614, "reasoning_output_tokens": 459}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1de89bcde10c70dc/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1de89bcde10c70dc/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5cef409648195e1c3141ddad8bd17848909ab5dd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1de89bcde10c70dc/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_1de89bcde10c70dc", + "api_calls": 0, + "input_tokens": 14991, + "cached_input_tokens": 13696, + "output_tokens": 614, + "total_tokens": 15605, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 28949.21, + "sql_execution_elapsed_ms_total": 26.09, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1de89bcde10c70dc/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1de89bcde10c70dc/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1de89bcde10c70dc/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..251ff6d9403113557fa34ea070f37bc05ec2ca02 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1de89bcde10c70dc/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": "2026-05-19T15:43:37.166199+00:00", + "ended_at": "2026-05-19T15:44:06.115437+00:00", + "elapsed_ms": 28949.21, + "prompt_metrics": { + "chars": 9560, + "bytes_utf8": 9560, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1898, + "bytes_utf8": 1898, + "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": 523, + "bytes_utf8": 523, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14991, + "cached_input_tokens": 13696, + "output_tokens": 614, + "reasoning_output_tokens": 459 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1de89bcde10c70dc/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1de89bcde10c70dc/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b0836c2e5c13f7f1c530749483213701be7ffca1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1de89bcde10c70dc/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=feature_13.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "bindings": { + "measure_col": "feature_13", + "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": 68.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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_a/n9/artifacts/v2q_n9_1de89bcde10c70dc/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1de89bcde10c70dc/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c82b98b790ec28fe866da36aab2449955fd65a33 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1de89bcde10c70dc/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,7 @@ +{"type":"thread.started","thread_id":"019e40e8-29e0-7d41-b8b1-1bac1ff8f382"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 15626. Please try again in 468ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 3/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 15626. Please try again in 468ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 4/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 15626. Please try again in 468ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH \\\"buckets\\\" AS (\\n SELECT\\n \\\"feature_13\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"feature_13\\\" AS REAL) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"n9\\\"\\n)\\nSELECT \\\"feature_13\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY CAST(\\\"feature_13\\\" AS REAL) DESC;\",\"notes\":\"Applied the Quantile Tail Slice template with measure_col bound to \\\"feature_13\\\" and num_tiles=10. CAST is used because the schema stores feature columns as TEXT, but the measure is numeric.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14991,"cached_input_tokens":13696,"output_tokens":614,"reasoning_output_tokens":459}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1de89bcde10c70dc/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1de89bcde10c70dc/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1f723465f71f75a42d559df0f33f2b2efa41d91b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1de89bcde10c70dc/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_quantile_tail_slice\nWITH \"buckets\" AS (\n SELECT\n \"feature_13\",\n NTILE(10) OVER (ORDER BY CAST(\"feature_13\" AS REAL) DESC) AS \"tail_bucket\"\n FROM \"n9\"\n)\nSELECT \"feature_13\"\nFROM \"buckets\"\nWHERE \"tail_bucket\" = 1\nORDER BY CAST(\"feature_13\" AS REAL) DESC;","notes":"Applied the Quantile Tail Slice template with measure_col bound to \"feature_13\" and num_tiles=10. CAST is used because the schema stores feature columns as TEXT, but the measure is numeric."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1de89bcde10c70dc/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1de89bcde10c70dc/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1e382e099d2383ee/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1e382e099d2383ee/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8caf924cc5478603bd3d5068f05069b946b1c976 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1e382e099d2383ee/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9945, "bytes_utf8": 9945, "lines": 300, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 802, "bytes_utf8": 802, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15076, "cached_input_tokens": 13696, "output_tokens": 694, "reasoning_output_tokens": 477}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1e382e099d2383ee/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1e382e099d2383ee/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..7cc0bf01e28facea77cccf2887382ce816af513d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1e382e099d2383ee/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_1e382e099d2383ee", + "api_calls": 0, + "input_tokens": 15076, + "cached_input_tokens": 13696, + "output_tokens": 694, + "total_tokens": 15770, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15196.41, + "sql_execution_elapsed_ms_total": 13.49, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1e382e099d2383ee/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1e382e099d2383ee/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1e382e099d2383ee/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b6ee1e9d2af5fda8d06084d32b63b138cccf42be --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1e382e099d2383ee/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:49:51.410700+00:00", + "ended_at": "2026-05-19T15:50:06.607139+00:00", + "elapsed_ms": 15196.41, + "prompt_metrics": { + "chars": 9945, + "bytes_utf8": 9945, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1205, + "bytes_utf8": 1205, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 802, + "bytes_utf8": 802, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15076, + "cached_input_tokens": 13696, + "output_tokens": 694, + "reasoning_output_tokens": 477 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1e382e099d2383ee/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1e382e099d2383ee/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..083f80d126138a5e7af1faf75392dda935c08cb4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1e382e099d2383ee/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=feature_13, measure_col=feature_1.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "feature_13", + "measure_col": "feature_1", + "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": 65.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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_a/n9/artifacts/v2q_n9_1e382e099d2383ee/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1e382e099d2383ee/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..7d542dd5af266c874de264e478c7f643c70aa0f4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1e382e099d2383ee/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ed-dfb0-75b0-968e-bbdc32010e19"} +{"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 \\\"feature_13\\\" AS \\\"feature_13\\\",\\n SUM(CAST(\\\"feature_1\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"n9\\\"\\n GROUP BY \\\"feature_13\\\"\\n), total AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM grouped\\n)\\nSELECT\\n g.\\\"feature_13\\\",\\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 using \\\"feature_13\\\" as the grouping column and SUM of \\\"feature_1\\\" as the measure, with CAST to REAL because the schema stores features as TEXT. The filter keeps groups whose summed measure exceeds 10% of the overall total.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15076,"cached_input_tokens":13696,"output_tokens":694,"reasoning_output_tokens":477}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1e382e099d2383ee/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1e382e099d2383ee/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a63f079a1d44b15a652e744676cd0c72c5a58985 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1e382e099d2383ee/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT\n \"feature_13\" AS \"feature_13\",\n SUM(CAST(\"feature_1\" AS REAL)) AS \"group_value\"\n FROM \"n9\"\n GROUP BY \"feature_13\"\n), total AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM grouped\n)\nSELECT\n g.\"feature_13\",\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 using \"feature_13\" as the grouping column and SUM of \"feature_1\" as the measure, with CAST to REAL because the schema stores features as TEXT. The filter keeps groups whose summed measure exceeds 10% of the overall total."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1e382e099d2383ee/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1e382e099d2383ee/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_26d46d9a01d4e949/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_26d46d9a01d4e949/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3f7e48903559511885ce75221e568cd6abc64966 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_26d46d9a01d4e949/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9390, "bytes_utf8": 9390, "lines": 300, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 398, "bytes_utf8": 398, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14940, "cached_input_tokens": 12032, "output_tokens": 378, "reasoning_output_tokens": 271}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_26d46d9a01d4e949/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_26d46d9a01d4e949/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..d7bbcf686d5a61011e419efecd5198ef3509b9e6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_26d46d9a01d4e949/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_26d46d9a01d4e949", + "api_calls": 0, + "input_tokens": 14940, + "cached_input_tokens": 12032, + "output_tokens": 378, + "total_tokens": 15318, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9924.5, + "sql_execution_elapsed_ms_total": 5.07, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_26d46d9a01d4e949/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_26d46d9a01d4e949/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_26d46d9a01d4e949/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1c4a8cc971579ef1057e0f287c58f56b4b64caff --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_26d46d9a01d4e949/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": "2026-05-19T15:29:11.186055+00:00", + "ended_at": "2026-05-19T15:29:21.110594+00:00", + "elapsed_ms": 9924.5, + "prompt_metrics": { + "chars": 9390, + "bytes_utf8": 9390, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 756, + "bytes_utf8": 756, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 398, + "bytes_utf8": 398, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14940, + "cached_input_tokens": 12032, + "output_tokens": 378, + "reasoning_output_tokens": 271 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_26d46d9a01d4e949/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_26d46d9a01d4e949/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f76f0fbcb880a784975b4653c59d74d6abeebc3f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_26d46d9a01d4e949/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=feature_3, measure_col=feature_3.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "feature_3", + "measure_col": "feature_3", + "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": 52.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_26d46d9a01d4e949/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_26d46d9a01d4e949/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..29027a6dba205cef349a2ea32edbb9716990eca9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_26d46d9a01d4e949/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40da-f30b-7a63-8729-9ac432e7399b"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"feature_3\\\", SUM(CAST(\\\"feature_3\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_3\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Applied the grouped numeric sum template with \\\"feature_3\\\" as both the grouping column and summed measure. CAST to REAL is used because the schema stores numeric-looking values as TEXT in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14940,"cached_input_tokens":12032,"output_tokens":378,"reasoning_output_tokens":271}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_26d46d9a01d4e949/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_26d46d9a01d4e949/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0dbc1f3498d85da4c2cd74d90cd02a63310c4c98 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_26d46d9a01d4e949/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"feature_3\", SUM(CAST(\"feature_3\" AS REAL)) AS \"total_measure\"\nFROM \"n9\"\nGROUP BY \"feature_3\"\nORDER BY \"total_measure\" DESC;","notes":"Applied the grouped numeric sum template with \"feature_3\" as both the grouping column and summed measure. CAST to REAL is used because the schema stores numeric-looking values as TEXT in SQLite."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_26d46d9a01d4e949/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_26d46d9a01d4e949/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_292f1052ac11dc32/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_292f1052ac11dc32/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3a9e39a5caadd592b0347e094ffbb4af137b59f5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_292f1052ac11dc32/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9558, "bytes_utf8": 9558, "lines": 298, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 525, "bytes_utf8": 525, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14991, "cached_input_tokens": 13696, "output_tokens": 527, "reasoning_output_tokens": 379}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_292f1052ac11dc32/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_292f1052ac11dc32/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..27d7d5c0cbdeeaca411bf82a294a39729944e06c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_292f1052ac11dc32/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_292f1052ac11dc32", + "api_calls": 0, + "input_tokens": 14991, + "cached_input_tokens": 13696, + "output_tokens": 527, + "total_tokens": 15518, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11301.05, + "sql_execution_elapsed_ms_total": 14.65, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_292f1052ac11dc32/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_292f1052ac11dc32/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_292f1052ac11dc32/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..9e575e1888017b9a324e430291a7ba32ba8a4cf5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_292f1052ac11dc32/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:45:52.911186+00:00", + "ended_at": "2026-05-19T15:46:04.212265+00:00", + "elapsed_ms": 11301.05, + "prompt_metrics": { + "chars": 9558, + "bytes_utf8": 9558, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 884, + "bytes_utf8": 884, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 525, + "bytes_utf8": 525, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14991, + "cached_input_tokens": 13696, + "output_tokens": 527, + "reasoning_output_tokens": 379 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_292f1052ac11dc32/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_292f1052ac11dc32/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..90d7b352d6c04bbbd437e7b16e2936101e32109a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_292f1052ac11dc32/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=feature_5.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "bindings": { + "measure_col": "feature_5", + "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": 78.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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_a/n9/artifacts/v2q_n9_292f1052ac11dc32/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_292f1052ac11dc32/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..422fce7ce70e48b900c1ee009679c13960726bcd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_292f1052ac11dc32/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ea-3c22-7ed2-92d7-9af2c125c7c5"} +{"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 \\\"feature_5\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"feature_5\\\" AS REAL) DESC) AS tail_bucket\\n FROM \\\"n9\\\"\\n)\\nSELECT \\\"feature_5\\\"\\nFROM buckets\\nWHERE tail_bucket = 1\\nORDER BY CAST(\\\"feature_5\\\" AS REAL) DESC;\",\"notes\":\"Applied the Quantile Tail Slice template with measure_col bound to \\\"feature_5\\\" and num_tiles=10. CAST(... AS REAL) is used because the schema stores features as TEXT, but the field is semantically numeric.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14991,"cached_input_tokens":13696,"output_tokens":527,"reasoning_output_tokens":379}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_292f1052ac11dc32/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_292f1052ac11dc32/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..10984a43eec3a157cbe69468f7b9e6c51f87763a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_292f1052ac11dc32/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_quantile_tail_slice\nWITH buckets AS (\n SELECT \"feature_5\",\n NTILE(10) OVER (ORDER BY CAST(\"feature_5\" AS REAL) DESC) AS tail_bucket\n FROM \"n9\"\n)\nSELECT \"feature_5\"\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY CAST(\"feature_5\" AS REAL) DESC;","notes":"Applied the Quantile Tail Slice template with measure_col bound to \"feature_5\" and num_tiles=10. CAST(... AS REAL) is used because the schema stores features as TEXT, but the field is semantically numeric."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_292f1052ac11dc32/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_292f1052ac11dc32/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2aff9828b186d1e8/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2aff9828b186d1e8/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..11d9c0a64c141bce106d5119e5911f8ffa7d85c5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2aff9828b186d1e8/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9948, "bytes_utf8": 9948, "lines": 300, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 690, "bytes_utf8": 690, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15078, "cached_input_tokens": 13696, "output_tokens": 619, "reasoning_output_tokens": 423}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2aff9828b186d1e8/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2aff9828b186d1e8/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..3951788857455ed89932582c297324fca3dd38ba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2aff9828b186d1e8/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_2aff9828b186d1e8", + "api_calls": 0, + "input_tokens": 15078, + "cached_input_tokens": 13696, + "output_tokens": 619, + "total_tokens": 15697, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12034.29, + "sql_execution_elapsed_ms_total": 17.16, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2aff9828b186d1e8/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2aff9828b186d1e8/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2aff9828b186d1e8/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..04b291ca554b70b118f057196efc7d88069bcc54 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2aff9828b186d1e8/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": "2026-05-19T15:47:18.012586+00:00", + "ended_at": "2026-05-19T15:47:30.046943+00:00", + "elapsed_ms": 12034.29, + "prompt_metrics": { + "chars": 9948, + "bytes_utf8": 9948, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1069, + "bytes_utf8": 1069, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 690, + "bytes_utf8": 690, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15078, + "cached_input_tokens": 13696, + "output_tokens": 619, + "reasoning_output_tokens": 423 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2aff9828b186d1e8/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2aff9828b186d1e8/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..da35ba216dffac4606cb79c34da1c8ff6e4674f7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2aff9828b186d1e8/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=feature_7, measure_col=feature_11.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "feature_7", + "measure_col": "feature_11", + "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": 89.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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_a/n9/artifacts/v2q_n9_2aff9828b186d1e8/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2aff9828b186d1e8/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..34f0150066dfa57154690b6b345d2bdef1066b77 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2aff9828b186d1e8/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40eb-88e4-7961-858e-d637a7d0fe6c"} +{"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 \\\"feature_7\\\" AS \\\"feature_7\\\",\\n SUM(CAST(\\\"feature_11\\\" AS REAL)) AS group_value\\n FROM \\\"n9\\\"\\n GROUP BY \\\"feature_7\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT\\n g.\\\"feature_7\\\",\\n g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.05\\nORDER BY g.group_value DESC;\",\"notes\":\"Uses the provided Relative-to-Total Extreme Threshold template with group_col=\\\"feature_7\\\", measure_col=\\\"feature_11\\\", and fraction_threshold=0.05. \\\"feature_11\\\" is cast to REAL because the schema stores values as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15078,"cached_input_tokens":13696,"output_tokens":619,"reasoning_output_tokens":423}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2aff9828b186d1e8/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2aff9828b186d1e8/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..813acdf408142568599ed74f4c4f7550dab8f07a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2aff9828b186d1e8/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT\n \"feature_7\" AS \"feature_7\",\n SUM(CAST(\"feature_11\" AS REAL)) AS group_value\n FROM \"n9\"\n GROUP BY \"feature_7\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT\n g.\"feature_7\",\n g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.05\nORDER BY g.group_value DESC;","notes":"Uses the provided Relative-to-Total Extreme Threshold template with group_col=\"feature_7\", measure_col=\"feature_11\", and fraction_threshold=0.05. \"feature_11\" is 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_a/n9/artifacts/v2q_n9_2aff9828b186d1e8/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2aff9828b186d1e8/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2b75aa0b8aa3bfb7/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2b75aa0b8aa3bfb7/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b270f3f9d5250f1943ccd5ed181067f68e4c94fd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2b75aa0b8aa3bfb7/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9568, "bytes_utf8": 9568, "lines": 300, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 1954, "bytes_utf8": 1954, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14978, "cached_input_tokens": 12032, "output_tokens": 4437, "reasoning_output_tokens": 3750}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2b75aa0b8aa3bfb7/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2b75aa0b8aa3bfb7/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..e7d3787f7229b0b58def7c6ad9a998b8b5950c85 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2b75aa0b8aa3bfb7/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_2b75aa0b8aa3bfb7", + "api_calls": 0, + "input_tokens": 14978, + "cached_input_tokens": 12032, + "output_tokens": 4437, + "total_tokens": 19415, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 61536.49, + "sql_execution_elapsed_ms_total": 42.11, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2b75aa0b8aa3bfb7/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2b75aa0b8aa3bfb7/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2b75aa0b8aa3bfb7/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7c83696a4f406568105a18ce1b30988d56c09796 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2b75aa0b8aa3bfb7/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": "2026-05-19T15:53:48.267516+00:00", + "ended_at": "2026-05-19T15:54:49.804033+00:00", + "elapsed_ms": 61536.49, + "prompt_metrics": { + "chars": 9568, + "bytes_utf8": 9568, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2668, + "bytes_utf8": 2668, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 1954, + "bytes_utf8": 1954, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14978, + "cached_input_tokens": 12032, + "output_tokens": 4437, + "reasoning_output_tokens": 3750 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2b75aa0b8aa3bfb7/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2b75aa0b8aa3bfb7/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f40e52172b8bf19123ee8468e396d176560f88d4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2b75aa0b8aa3bfb7/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=feature_4, measure_col=feature_9.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "feature_4", + "measure_col": "feature_9", + "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": 89.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_2b75aa0b8aa3bfb7/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2b75aa0b8aa3bfb7/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..89c88226839ab8a0b33df0aa7115acb875fb0f3a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2b75aa0b8aa3bfb7/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f1-7d01-7920-8052-995a83e3dbc3"} +{"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 \\\"feature_4\\\",\\n CAST(\\\"feature_9\\\" AS REAL) AS \\\"measure\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"feature_4\\\"\\n ORDER BY CAST(\\\"feature_9\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"feature_4\\\") AS \\\"cnt\\\"\\n FROM \\\"n9\\\"\\n WHERE \\\"feature_4\\\" IS NOT NULL\\n AND \\\"feature_9\\\" IS NOT NULL\\n),\\n\\\"positions\\\" AS (\\n SELECT DISTINCT\\n \\\"feature_4\\\",\\n \\\"cnt\\\",\\n (0.95 * (\\\"cnt\\\" - 1)) + 1.0 AS \\\"pos\\\",\\n CAST((0.95 * (\\\"cnt\\\" - 1)) + 1.0 AS INT) AS \\\"lower_rn\\\",\\n CAST((0.95 * (\\\"cnt\\\" - 1)) + 1.0 AS INT) +\\n CASE\\n WHEN ((0.95 * (\\\"cnt\\\" - 1)) + 1.0) > CAST((0.95 * (\\\"cnt\\\" - 1)) + 1.0 AS INT) THEN 1\\n ELSE 0\\n END AS \\\"upper_rn\\\"\\n FROM \\\"ordered\\\"\\n),\\n\\\"bounds\\\" AS (\\n SELECT\\n \\\"p\\\".\\\"feature_4\\\",\\n \\\"p\\\".\\\"cnt\\\",\\n \\\"p\\\".\\\"pos\\\",\\n \\\"p\\\".\\\"lower_rn\\\",\\n \\\"p\\\".\\\"upper_rn\\\",\\n MAX(CASE WHEN \\\"o\\\".\\\"rn\\\" = \\\"p\\\".\\\"lower_rn\\\" THEN \\\"o\\\".\\\"measure\\\" END) AS \\\"lower_val\\\",\\n MAX(CASE WHEN \\\"o\\\".\\\"rn\\\" = \\\"p\\\".\\\"upper_rn\\\" THEN \\\"o\\\".\\\"measure\\\" END) AS \\\"upper_val\\\"\\n FROM \\\"positions\\\" AS \\\"p\\\"\\n JOIN \\\"ordered\\\" AS \\\"o\\\"\\n ON \\\"o\\\".\\\"feature_4\\\" = \\\"p\\\".\\\"feature_4\\\"\\n GROUP BY\\n \\\"p\\\".\\\"feature_4\\\",\\n \\\"p\\\".\\\"cnt\\\",\\n \\\"p\\\".\\\"pos\\\",\\n \\\"p\\\".\\\"lower_rn\\\",\\n \\\"p\\\".\\\"upper_rn\\\"\\n)\\nSELECT\\n \\\"feature_4\\\",\\n CASE\\n WHEN \\\"lower_rn\\\" = \\\"upper_rn\\\" THEN \\\"lower_val\\\"\\n ELSE \\\"lower_val\\\" + (\\\"pos\\\" - \\\"lower_rn\\\") * (\\\"upper_val\\\" - \\\"lower_val\\\")\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"bounds\\\"\\nWHERE \\\"cnt\\\" >= 5\\nORDER BY \\\"percentile_measure\\\" DESC, \\\"feature_4\\\";\",\"notes\":\"Emulates SQLite-compatible PERCENTILE_CONT(0.95) for \\\"feature_9\\\" within each \\\"feature_4\\\" group by ordering casted numeric values and linearly interpolating between the two bounding ranks; filters out groups smaller than 5 rows.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14978,"cached_input_tokens":12032,"output_tokens":4437,"reasoning_output_tokens":3750}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2b75aa0b8aa3bfb7/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2b75aa0b8aa3bfb7/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..576c637d72dd108c991e615e0534670a86967290 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2b75aa0b8aa3bfb7/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ordered\" AS (\n SELECT\n \"feature_4\",\n CAST(\"feature_9\" AS REAL) AS \"measure\",\n ROW_NUMBER() OVER (\n PARTITION BY \"feature_4\"\n ORDER BY CAST(\"feature_9\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (PARTITION BY \"feature_4\") AS \"cnt\"\n FROM \"n9\"\n WHERE \"feature_4\" IS NOT NULL\n AND \"feature_9\" IS NOT NULL\n),\n\"positions\" AS (\n SELECT DISTINCT\n \"feature_4\",\n \"cnt\",\n (0.95 * (\"cnt\" - 1)) + 1.0 AS \"pos\",\n CAST((0.95 * (\"cnt\" - 1)) + 1.0 AS INT) AS \"lower_rn\",\n CAST((0.95 * (\"cnt\" - 1)) + 1.0 AS INT) +\n CASE\n WHEN ((0.95 * (\"cnt\" - 1)) + 1.0) > CAST((0.95 * (\"cnt\" - 1)) + 1.0 AS INT) THEN 1\n ELSE 0\n END AS \"upper_rn\"\n FROM \"ordered\"\n),\n\"bounds\" AS (\n SELECT\n \"p\".\"feature_4\",\n \"p\".\"cnt\",\n \"p\".\"pos\",\n \"p\".\"lower_rn\",\n \"p\".\"upper_rn\",\n MAX(CASE WHEN \"o\".\"rn\" = \"p\".\"lower_rn\" THEN \"o\".\"measure\" END) AS \"lower_val\",\n MAX(CASE WHEN \"o\".\"rn\" = \"p\".\"upper_rn\" THEN \"o\".\"measure\" END) AS \"upper_val\"\n FROM \"positions\" AS \"p\"\n JOIN \"ordered\" AS \"o\"\n ON \"o\".\"feature_4\" = \"p\".\"feature_4\"\n GROUP BY\n \"p\".\"feature_4\",\n \"p\".\"cnt\",\n \"p\".\"pos\",\n \"p\".\"lower_rn\",\n \"p\".\"upper_rn\"\n)\nSELECT\n \"feature_4\",\n CASE\n WHEN \"lower_rn\" = \"upper_rn\" THEN \"lower_val\"\n ELSE \"lower_val\" + (\"pos\" - \"lower_rn\") * (\"upper_val\" - \"lower_val\")\n END AS \"percentile_measure\"\nFROM \"bounds\"\nWHERE \"cnt\" >= 5\nORDER BY \"percentile_measure\" DESC, \"feature_4\";","notes":"Emulates SQLite-compatible PERCENTILE_CONT(0.95) for \"feature_9\" within each \"feature_4\" group by ordering casted numeric values and linearly interpolating between the two bounding ranks; filters out groups smaller than 5 rows."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2b75aa0b8aa3bfb7/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2b75aa0b8aa3bfb7/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2b9fdf6c69110044/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2b9fdf6c69110044/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e3c605cd51ea44991774e1683a919cc7b8351fa4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2b9fdf6c69110044/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9946, "bytes_utf8": 9946, "lines": 300, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 735, "bytes_utf8": 735, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15078, "cached_input_tokens": 13696, "output_tokens": 621, "reasoning_output_tokens": 406}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2b9fdf6c69110044/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2b9fdf6c69110044/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a9d45d956e0c357e4133171f520b40dc99a086e3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2b9fdf6c69110044/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_2b9fdf6c69110044", + "api_calls": 0, + "input_tokens": 15078, + "cached_input_tokens": 13696, + "output_tokens": 621, + "total_tokens": 15699, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12673.76, + "sql_execution_elapsed_ms_total": 10.21, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2b9fdf6c69110044/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2b9fdf6c69110044/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2b9fdf6c69110044/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..31b34379424f69addbbffc15fa88b305606d1bcb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2b9fdf6c69110044/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:47:30.074403+00:00", + "ended_at": "2026-05-19T15:47:42.748224+00:00", + "elapsed_ms": 12673.76, + "prompt_metrics": { + "chars": 9946, + "bytes_utf8": 9946, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1159, + "bytes_utf8": 1159, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 735, + "bytes_utf8": 735, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15078, + "cached_input_tokens": 13696, + "output_tokens": 621, + "reasoning_output_tokens": 406 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2b9fdf6c69110044/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2b9fdf6c69110044/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7529bac8b7d5a505e2de33835c2101a434ca429d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2b9fdf6c69110044/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=feature_8, measure_col=feature_12.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "feature_8", + "measure_col": "feature_12", + "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": 55.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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_a/n9/artifacts/v2q_n9_2b9fdf6c69110044/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2b9fdf6c69110044/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a615a6cf2ade7e0ab4f6628fd6a5051fe9c94b80 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2b9fdf6c69110044/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40eb-b818-7911-9592-6573ee5e71f3"} +{"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 \\\"feature_8\\\",\\n SUM(CAST(\\\"feature_12\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"n9\\\"\\n GROUP BY \\\"feature_8\\\"\\n),\\n\\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT\\n g.\\\"feature_8\\\",\\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 requested Relative-to-Total Extreme Threshold template with group_col=\\\"feature_8\\\" and measure_col=\\\"feature_12\\\". CAST(\\\"feature_12\\\" AS REAL) is used because the schema stores numeric fields as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15078,"cached_input_tokens":13696,"output_tokens":621,"reasoning_output_tokens":406}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2b9fdf6c69110044/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2b9fdf6c69110044/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..41cd9aee608b427752a58d3b74aced74a41e4edb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2b9fdf6c69110044/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH \"grouped\" AS (\n SELECT\n \"feature_8\",\n SUM(CAST(\"feature_12\" AS REAL)) AS \"group_value\"\n FROM \"n9\"\n GROUP BY \"feature_8\"\n),\n\"total\" AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM \"grouped\"\n)\nSELECT\n g.\"feature_8\",\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 requested Relative-to-Total Extreme Threshold template with group_col=\"feature_8\" and measure_col=\"feature_12\". CAST(\"feature_12\" AS 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_a/n9/artifacts/v2q_n9_2b9fdf6c69110044/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2b9fdf6c69110044/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2cc73344b8a530e0/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2cc73344b8a530e0/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..be65907b15e2fae7aa6315d9a04d296a60c328b9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2cc73344b8a530e0/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": "2026-05-19T16:09:32.313179+00:00", + "ended_at": "2026-05-19T16:09:35.659721+00:00", + "elapsed_ms": 3346.52, + "returncode": 1, + "prompt_metrics": { + "chars": 9477, + "bytes_utf8": 9477, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2cc73344b8a530e0/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2cc73344b8a530e0/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..0e6cb17b854e539f38ad3e34bce6d6006524d7b1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2cc73344b8a530e0/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": "2026-05-19T16:09:36.661528+00:00", + "ended_at": "2026-05-19T16:09:39.892564+00:00", + "elapsed_ms": 3230.99, + "returncode": 1, + "prompt_metrics": { + "chars": 9477, + "bytes_utf8": 9477, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2cc73344b8a530e0/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2cc73344b8a530e0/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..033db2309f4b64532fe07b407197e53e12817695 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2cc73344b8a530e0/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=feature_3, measure_col=feature_11.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "feature_3", + "measure_col": "feature_11", + "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": 97.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_2cc73344b8a530e0/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2cc73344b8a530e0/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..033db2309f4b64532fe07b407197e53e12817695 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2cc73344b8a530e0/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=feature_3, measure_col=feature_11.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "feature_3", + "measure_col": "feature_11", + "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": 97.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_2cc73344b8a530e0/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2cc73344b8a530e0/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..cb3cba22f94861274e94725621b2dde70fb1c8d5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2cc73344b8a530e0/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-e4ac-7043-8cc9-f86fdaa5fc3a"} +{"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_a/n9/artifacts/v2q_n9_2cc73344b8a530e0/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2cc73344b8a530e0/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..221bac892772beee06306e3bbc2384fe96e47001 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2cc73344b8a530e0/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-e4ac-7043-8cc9-f86fdaa5fc3a"} +{"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_a/n9/artifacts/v2q_n9_2cc73344b8a530e0/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2cc73344b8a530e0/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c055d4f84410425a6876301222e52c42a5924c41 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2cc73344b8a530e0/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-f5a5-77a2-8526-1f570ad3bfd6"} +{"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_a/n9/artifacts/v2q_n9_2cc73344b8a530e0/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2cc73344b8a530e0/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..b497ac720de3032334f1c12ab7a9ce7b76717f3e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2cc73344b8a530e0/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-f5a5-77a2-8526-1f570ad3bfd6"} +{"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_a/n9/artifacts/v2q_n9_2cc73344b8a530e0/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2cc73344b8a530e0/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2cc73344b8a530e0/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2cc73344b8a530e0/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2ddfcbc7fbc591ce/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2ddfcbc7fbc591ce/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7d6e62cf298bbbda69ce2c443d7aaffcf73eb869 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2ddfcbc7fbc591ce/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9633, "bytes_utf8": 9633, "lines": 303, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "status": "failed", "error": "AI CLI command failed with exit code 1: "} +{"attempt": 2, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_2.txt", "metrics": {"chars": 9633, "bytes_utf8": 9633, "lines": 303, "estimated_tokens": null}} +{"attempt": 2, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_2.txt", "raw_content_path": "cli/sql_response_attempt_2.raw.txt", "stderr_path": "cli/sql_stderr_attempt_2.txt", "metrics": {"chars": 402, "bytes_utf8": 402, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14998, "cached_input_tokens": 12032, "output_tokens": 351, "reasoning_output_tokens": 240}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2ddfcbc7fbc591ce/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2ddfcbc7fbc591ce/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..71abf905fe839d6d499498e4e1fc1878c2af0e83 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2ddfcbc7fbc591ce/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_2ddfcbc7fbc591ce", + "api_calls": 0, + "input_tokens": 14998, + "cached_input_tokens": 12032, + "output_tokens": 351, + "total_tokens": 15349, + "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": 11706.05, + "sql_execution_elapsed_ms_total": 5.54, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2ddfcbc7fbc591ce/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2ddfcbc7fbc591ce/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2ddfcbc7fbc591ce/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..9c4b591b921c3e8dcff579ad97a7bbed44c46f84 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2ddfcbc7fbc591ce/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": "2026-05-19T16:01:35.822081+00:00", + "ended_at": "2026-05-19T16:01:38.751061+00:00", + "elapsed_ms": 2928.96, + "returncode": 1, + "prompt_metrics": { + "chars": 9633, + "bytes_utf8": 9633, + "lines": 303, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2ddfcbc7fbc591ce/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2ddfcbc7fbc591ce/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ceac8ebd6b7018a4fd9a642baf51fd2cd4fbabfa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2ddfcbc7fbc591ce/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": "2026-05-19T16:01:39.753498+00:00", + "ended_at": "2026-05-19T16:01:48.530627+00:00", + "elapsed_ms": 8777.09, + "prompt_metrics": { + "chars": 9633, + "bytes_utf8": 9633, + "lines": 303, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 757, + "bytes_utf8": 757, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 402, + "bytes_utf8": 402, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14998, + "cached_input_tokens": 12032, + "output_tokens": 351, + "reasoning_output_tokens": 240 + } + }, + "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_a/n9/artifacts/v2q_n9_2ddfcbc7fbc591ce/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2ddfcbc7fbc591ce/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..74287fd2499916de46d7b231671c1bf02f1b5618 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2ddfcbc7fbc591ce/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,303 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=feature_14, condition_col=class.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "feature_14", + "condition_col": "class", + "condition_value": "2", + "positive_value": "2", + "negative_value": "4", + "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": 58.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_2ddfcbc7fbc591ce/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2ddfcbc7fbc591ce/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..74287fd2499916de46d7b231671c1bf02f1b5618 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2ddfcbc7fbc591ce/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,303 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=feature_14, condition_col=class.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "feature_14", + "condition_col": "class", + "condition_value": "2", + "positive_value": "2", + "negative_value": "4", + "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": 58.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_2ddfcbc7fbc591ce/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2ddfcbc7fbc591ce/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..343f56fce984f2f5cba43461a1911c947415f089 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2ddfcbc7fbc591ce/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-9f6f-7e11-8b15-74a58b42e37a"} +{"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_a/n9/artifacts/v2q_n9_2ddfcbc7fbc591ce/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2ddfcbc7fbc591ce/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e7a5772d2458783fb4d5d8bd16f43bc554a311e7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2ddfcbc7fbc591ce/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-9f6f-7e11-8b15-74a58b42e37a"} +{"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_a/n9/artifacts/v2q_n9_2ddfcbc7fbc591ce/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2ddfcbc7fbc591ce/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..1ca978eafb074a8c896402041ab50de971edfbf1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2ddfcbc7fbc591ce/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-aea1-7000-83f8-7d8ae2d262c7"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"feature_14\\\",\\n AVG(CASE WHEN \\\"class\\\" = '2' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_14\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Implements the Grouped Condition Rate template with group_col=\\\"feature_14\\\" and condition_col=\\\"class\\\", measuring the within-group proportion of rows where class = '2'.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14998,"cached_input_tokens":12032,"output_tokens":351,"reasoning_output_tokens":240}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2ddfcbc7fbc591ce/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2ddfcbc7fbc591ce/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..9ebd3e2d79685a60544e67585de220cb8a789802 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2ddfcbc7fbc591ce/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"feature_14\",\n AVG(CASE WHEN \"class\" = '2' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"n9\"\nGROUP BY \"feature_14\"\nORDER BY condition_rate DESC;","notes":"Implements the Grouped Condition Rate template with group_col=\"feature_14\" and condition_col=\"class\", measuring the within-group proportion of rows where class = '2'."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2ddfcbc7fbc591ce/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2ddfcbc7fbc591ce/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2ddfcbc7fbc591ce/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2ddfcbc7fbc591ce/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_32a48e1986c6d0a7/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_32a48e1986c6d0a7/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c4549127c3fda92b5ba14dc2e4fe7b0064ae2e4b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_32a48e1986c6d0a7/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9297, "bytes_utf8": 9297, "lines": 298, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 268, "bytes_utf8": 268, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14911, "cached_input_tokens": 12032, "output_tokens": 425, "reasoning_output_tokens": 344}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_32a48e1986c6d0a7/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_32a48e1986c6d0a7/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..24aab00c8bc11e21e03e8384b6bcd51e9d67a385 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_32a48e1986c6d0a7/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_32a48e1986c6d0a7", + "api_calls": 0, + "input_tokens": 14911, + "cached_input_tokens": 12032, + "output_tokens": 425, + "total_tokens": 15336, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 26246.26, + "sql_execution_elapsed_ms_total": 6.32, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_32a48e1986c6d0a7/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_32a48e1986c6d0a7/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_32a48e1986c6d0a7/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..eacd40c5d6c3e9f75a5231ab0affdca4838bd6f8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_32a48e1986c6d0a7/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": "2026-05-19T15:33:17.020555+00:00", + "ended_at": "2026-05-19T15:33:43.266857+00:00", + "elapsed_ms": 26246.26, + "prompt_metrics": { + "chars": 9297, + "bytes_utf8": 9297, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1957, + "bytes_utf8": 1957, + "lines": 8, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 268, + "bytes_utf8": 268, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14911, + "cached_input_tokens": 12032, + "output_tokens": 425, + "reasoning_output_tokens": 344 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_32a48e1986c6d0a7/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_32a48e1986c6d0a7/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d534dcb32ddb7a6ddbd3d3e8bc51583fb63da4f8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_32a48e1986c6d0a7/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=feature_2.", + "planned_template_id": "tpl_clickbench_group_count", + "bindings": { + "group_col": "feature_2", + "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": 58.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_32a48e1986c6d0a7/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_32a48e1986c6d0a7/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..30e7bc06177c80cdd44a50c8466a7829510f8ef9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_32a48e1986c6d0a7/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,8 @@ +{"type":"thread.started","thread_id":"019e40de-b367-7310-acc4-1ccf9ffc3d22"} +{"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 1990529, Requested 15546. Please try again in 182ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 3/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 15546. Please try again in 466ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 4/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 15546. Please try again in 466ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 5/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1985395, Requested 15546. Please try again in 28ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"feature_2\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_2\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Applied the grouped-count template on table \\\"n9\\\" with group_col bound to \\\"feature_2\\\".\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14911,"cached_input_tokens":12032,"output_tokens":425,"reasoning_output_tokens":344}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_32a48e1986c6d0a7/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_32a48e1986c6d0a7/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e38cf93694b86023464b7d7bbeda5c9c42810876 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_32a48e1986c6d0a7/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_clickbench_group_count\nSELECT \"feature_2\", COUNT(*) AS \"row_count\"\nFROM \"n9\"\nGROUP BY \"feature_2\"\nORDER BY \"row_count\" DESC;","notes":"Applied the grouped-count template on table \"n9\" with group_col bound to \"feature_2\"."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_32a48e1986c6d0a7/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_32a48e1986c6d0a7/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_32cf6aceee145bc7/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_32cf6aceee145bc7/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c659768cffb74a56dae870a9b6d4c1f4e3498a78 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_32cf6aceee145bc7/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9324, "bytes_utf8": 9324, "lines": 298, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 358, "bytes_utf8": 358, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14927, "cached_input_tokens": 12032, "output_tokens": 239, "reasoning_output_tokens": 136}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_32cf6aceee145bc7/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_32cf6aceee145bc7/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..6e925fd806bd6f5ffab399ac2c5cd4c6547f35d1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_32cf6aceee145bc7/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_32cf6aceee145bc7", + "api_calls": 0, + "input_tokens": 14927, + "cached_input_tokens": 12032, + "output_tokens": 239, + "total_tokens": 15166, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 7843.56, + "sql_execution_elapsed_ms_total": 2.14, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_32cf6aceee145bc7/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_32cf6aceee145bc7/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_32cf6aceee145bc7/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..66160418e85a1458a9d01ca6fbb0397c29c5fa64 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_32cf6aceee145bc7/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:04:31.445169+00:00", + "ended_at": "2026-05-19T16:04:39.288752+00:00", + "elapsed_ms": 7843.56, + "prompt_metrics": { + "chars": 9324, + "bytes_utf8": 9324, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 698, + "bytes_utf8": 698, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 358, + "bytes_utf8": 358, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14927, + "cached_input_tokens": 12032, + "output_tokens": 239, + "reasoning_output_tokens": 136 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_32cf6aceee145bc7/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_32cf6aceee145bc7/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b314a1a3824ca9338979cc7df1000a9321d2b825 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_32cf6aceee145bc7/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=feature_2.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "feature_2", + "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": 100.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_32cf6aceee145bc7/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_32cf6aceee145bc7/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..9723176d1654094463a6ece5ff30952fe3c3b493 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_32cf6aceee145bc7/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-4d62-74b3-b513-64b233a4b086"} +{"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(\\\"feature_2\\\" AS REAL) <= 100.0 THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\\nFROM \\\"n9\\\";\",\"notes\":\"Applied the Threshold Rarity CDF template with measure_col bound to \\\"feature_2\\\" and threshold fixed at 100.0. CAST is used because the schema stores feature columns as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14927,"cached_input_tokens":12032,"output_tokens":239,"reasoning_output_tokens":136}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_32cf6aceee145bc7/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_32cf6aceee145bc7/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e9cc8f6ff5863aeb21fbfd53a51d000837e8821b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_32cf6aceee145bc7/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_threshold_rarity_cdf\nSELECT AVG(CASE WHEN CAST(\"feature_2\" AS REAL) <= 100.0 THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM \"n9\";","notes":"Applied the Threshold Rarity CDF template with measure_col bound to \"feature_2\" and threshold fixed at 100.0. CAST is used because the schema stores feature columns as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_32cf6aceee145bc7/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_32cf6aceee145bc7/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3686b40feb657bbe/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3686b40feb657bbe/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..60e7e2635b488fa0f1a0fb816641059f5b892bce --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3686b40feb657bbe/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9807, "bytes_utf8": 9807, "lines": 302, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 653, "bytes_utf8": 653, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15060, "cached_input_tokens": 12032, "output_tokens": 710, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3686b40feb657bbe/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3686b40feb657bbe/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..41d37abd92fd304e6acbfe4f1279de32d8df3b18 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3686b40feb657bbe/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"feature_11\",\n \"feature_13\",\n SUM(CAST(\"feature_12\" AS REAL)) AS total_measure,\n SUM(CAST(\"feature_12\" AS REAL)) * 100.0 / NULLIF(SUM(SUM(CAST(\"feature_12\" AS REAL))) OVER (PARTITION BY \"feature_11\"), 0) AS share_within_group\nFROM \"n9\"\nGROUP BY \"feature_11\", \"feature_13\"\nORDER BY share_within_group DESC;","notes":"Used the provided Within-Group Share of Total template with group_col=\"feature_11\", item_col=\"feature_13\", and measure_col=\"feature_12\". Cast the measure from TEXT to REAL for numeric aggregation and used NULLIF to avoid division-by-zero."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3702485d32ab3209/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3702485d32ab3209/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..88a3f9eb7adf87bf5411624e4fdf1a973abc814a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3702485d32ab3209/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:06:41.553549+00:00", + "ended_at": "2026-05-19T16:06:46.991942+00:00", + "elapsed_ms": 5438.36, + "returncode": 1, + "prompt_metrics": { + "chars": 9378, + "bytes_utf8": 9378, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3702485d32ab3209/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3702485d32ab3209/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..807b6fe7dd709704739dd12fa34f5b95e50fdc5b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3702485d32ab3209/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:06:47.993585+00:00", + "ended_at": "2026-05-19T16:06:51.285638+00:00", + "elapsed_ms": 3292.02, + "returncode": 1, + "prompt_metrics": { + "chars": 9378, + "bytes_utf8": 9378, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3702485d32ab3209/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3702485d32ab3209/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9fcfbf245c7be85dcb380615d88e5362bae1e711 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3702485d32ab3209/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role count_distribution. Focus on group_col=feature_6.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "feature_6", + "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": 68.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_3702485d32ab3209/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3702485d32ab3209/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..9fcfbf245c7be85dcb380615d88e5362bae1e711 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3702485d32ab3209/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role count_distribution. Focus on group_col=feature_6.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "feature_6", + "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": 68.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_3702485d32ab3209/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3702485d32ab3209/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..1e63aae7cc7541ffb0c6a0f0010b9aa50afbc441 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3702485d32ab3209/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-49a1-7e02-a9d0-32d1432863cd"} +{"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_a/n9/artifacts/v2q_n9_3702485d32ab3209/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3702485d32ab3209/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b245f2e682244e99f67128da8cf5684e2bd4f3d9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3702485d32ab3209/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-49a1-7e02-a9d0-32d1432863cd"} +{"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_a/n9/artifacts/v2q_n9_3702485d32ab3209/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3702485d32ab3209/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..fe87940533e532d913d3035ed3f19d5e5296a828 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3702485d32ab3209/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-62cc-7fa3-b013-88f1f8deb8be"} +{"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_a/n9/artifacts/v2q_n9_3702485d32ab3209/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3702485d32ab3209/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..14638ea7b905b2fd14b0db0204f8ca67f61fff48 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3702485d32ab3209/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-62cc-7fa3-b013-88f1f8deb8be"} +{"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_a/n9/artifacts/v2q_n9_3702485d32ab3209/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3702485d32ab3209/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3702485d32ab3209/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3702485d32ab3209/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_374881bc7d737e13/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_374881bc7d737e13/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ffec3c7fc4f80c2c5e934bd7c4af2616dd7c244c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_374881bc7d737e13/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9376, "bytes_utf8": 9376, "lines": 298, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "status": "failed", "error": "AI CLI command failed with exit code 1: "} +{"attempt": 2, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_2.txt", "metrics": {"chars": 9376, "bytes_utf8": 9376, "lines": 298, "estimated_tokens": null}} +{"attempt": 2, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_2.txt", "raw_content_path": "cli/sql_response_attempt_2.raw.txt", "stderr_path": "cli/sql_stderr_attempt_2.txt", "metrics": {"chars": 323, "bytes_utf8": 323, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14946, "cached_input_tokens": 12032, "output_tokens": 352, "reasoning_output_tokens": 254}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_374881bc7d737e13/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_374881bc7d737e13/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..93620db71e822aa7b11b07a0240fdc5b99b53258 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_374881bc7d737e13/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_374881bc7d737e13", + "api_calls": 0, + "input_tokens": 14946, + "cached_input_tokens": 12032, + "output_tokens": 352, + "total_tokens": 15298, + "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": 12192.09, + "sql_execution_elapsed_ms_total": 10.99, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_374881bc7d737e13/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_374881bc7d737e13/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_374881bc7d737e13/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..0450edf6a9664a5c276e9aa29e32b1cf10703a01 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_374881bc7d737e13/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:06:51.288398+00:00", + "ended_at": "2026-05-19T16:06:54.666868+00:00", + "elapsed_ms": 3378.45, + "returncode": 1, + "prompt_metrics": { + "chars": 9376, + "bytes_utf8": 9376, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_374881bc7d737e13/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_374881bc7d737e13/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..0afd517f685761938dfa8479beb93207882f6cf6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_374881bc7d737e13/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": "2026-05-19T16:06:55.668665+00:00", + "ended_at": "2026-05-19T16:07:04.482350+00:00", + "elapsed_ms": 8813.64, + "prompt_metrics": { + "chars": 9376, + "bytes_utf8": 9376, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 684, + "bytes_utf8": 684, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 323, + "bytes_utf8": 323, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14946, + "cached_input_tokens": 12032, + "output_tokens": 352, + "reasoning_output_tokens": 254 + } + }, + "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_a/n9/artifacts/v2q_n9_374881bc7d737e13/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_374881bc7d737e13/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ead91862fa3252eacef26c4e6774dd0020e9ed61 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_374881bc7d737e13/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=feature_7.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "feature_7", + "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": 47.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\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_a/n9/artifacts/v2q_n9_374881bc7d737e13/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_374881bc7d737e13/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..ead91862fa3252eacef26c4e6774dd0020e9ed61 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_374881bc7d737e13/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=feature_7.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "feature_7", + "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": 47.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\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_a/n9/artifacts/v2q_n9_374881bc7d737e13/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_374881bc7d737e13/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e492e93d15006db2cb8b5202a37ca392d74e91f6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_374881bc7d737e13/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-6f9b-7e21-b189-3444a6f987cf"} +{"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_a/n9/artifacts/v2q_n9_374881bc7d737e13/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_374881bc7d737e13/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c1c5dcd2de0b6c99afb93de5de00fe5a07c63608 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_374881bc7d737e13/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-6f9b-7e21-b189-3444a6f987cf"} +{"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_a/n9/artifacts/v2q_n9_374881bc7d737e13/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_374881bc7d737e13/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..567e9a598476890e567e614b005c33f94deca083 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_374881bc7d737e13/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-80b0-7102-a4ab-d86ce3a9a903"} +{"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 \\\"feature_7\\\",\\n COUNT(*) AS \\\"support\\\"\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_7\\\"\\nORDER BY \\\"support\\\" ASC, \\\"feature_7\\\"\\nLIMIT 10;\",\"notes\":\"Uses the planned Low-Support Group Count template with \\\"feature_7\\\" as the grouping column and LIMIT 10.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14946,"cached_input_tokens":12032,"output_tokens":352,"reasoning_output_tokens":254}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_374881bc7d737e13/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_374881bc7d737e13/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..18cb1a697fb0f1cc9a562df22d190426d6cfbc6c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_374881bc7d737e13/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n \"feature_7\",\n COUNT(*) AS \"support\"\nFROM \"n9\"\nGROUP BY \"feature_7\"\nORDER BY \"support\" ASC, \"feature_7\"\nLIMIT 10;","notes":"Uses the planned Low-Support Group Count template with \"feature_7\" as the grouping column and LIMIT 10."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_374881bc7d737e13/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_374881bc7d737e13/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_374881bc7d737e13/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_374881bc7d737e13/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3a4a13c16bb4dc0e/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3a4a13c16bb4dc0e/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b672792a6b307a4c32e3ced88c6aafcd7f175e46 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3a4a13c16bb4dc0e/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": "2026-05-19T16:09:47.437064+00:00", + "ended_at": "2026-05-19T16:09:50.642566+00:00", + "elapsed_ms": 3205.47, + "returncode": 1, + "prompt_metrics": { + "chars": 9472, + "bytes_utf8": 9472, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3a4a13c16bb4dc0e/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3a4a13c16bb4dc0e/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f632d5c1543ce92fd46031f6ee6d712e1f658607 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3a4a13c16bb4dc0e/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": "2026-05-19T16:09:51.645711+00:00", + "ended_at": "2026-05-19T16:09:54.797743+00:00", + "elapsed_ms": 3151.97, + "returncode": 1, + "prompt_metrics": { + "chars": 9472, + "bytes_utf8": 9472, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3a4a13c16bb4dc0e/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3a4a13c16bb4dc0e/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a2e7bdaaebd23fb5bd3debd811f1beefeb65a62c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3a4a13c16bb4dc0e/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=feature_4, measure_col=feature_12.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "feature_4", + "measure_col": "feature_12", + "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": 55.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_3a4a13c16bb4dc0e/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3a4a13c16bb4dc0e/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..a2e7bdaaebd23fb5bd3debd811f1beefeb65a62c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3a4a13c16bb4dc0e/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=feature_4, measure_col=feature_12.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "feature_4", + "measure_col": "feature_12", + "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": 55.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_3a4a13c16bb4dc0e/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3a4a13c16bb4dc0e/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..017a406b2a30a34d9d6f03306f85492aedafdf85 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3a4a13c16bb4dc0e/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-1fa2-7880-88a6-7781d4bb3b34"} +{"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_a/n9/artifacts/v2q_n9_3a4a13c16bb4dc0e/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3a4a13c16bb4dc0e/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7a1a5cdd15b69d2090f55d455ced8c7124ff36c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3a4a13c16bb4dc0e/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-1fa2-7880-88a6-7781d4bb3b34"} +{"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_a/n9/artifacts/v2q_n9_3a4a13c16bb4dc0e/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3a4a13c16bb4dc0e/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..3e9a016c0305976e92e2b9fdf86afeff68f1db1a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3a4a13c16bb4dc0e/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-3020-74d2-9e93-c6a55044c6ab"} +{"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_a/n9/artifacts/v2q_n9_3a4a13c16bb4dc0e/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3a4a13c16bb4dc0e/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..75b0f7faaa9584eb3d21c21360820d147db6e923 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3a4a13c16bb4dc0e/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-3020-74d2-9e93-c6a55044c6ab"} +{"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_a/n9/artifacts/v2q_n9_3a4a13c16bb4dc0e/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3a4a13c16bb4dc0e/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3a4a13c16bb4dc0e/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3a4a13c16bb4dc0e/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3e5ea197b14f256d/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3e5ea197b14f256d/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8c18c9b8c738250d9a5b09f4702048925f1b52a2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3e5ea197b14f256d/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9388, "bytes_utf8": 9388, "lines": 300, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 370, "bytes_utf8": 370, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14940, "cached_input_tokens": 12032, "output_tokens": 244, "reasoning_output_tokens": 143}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3e5ea197b14f256d/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3e5ea197b14f256d/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..adc465670a5aa5b57ab9ca0a38ae9b16a1ae1f86 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3e5ea197b14f256d/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_3e5ea197b14f256d", + "api_calls": 0, + "input_tokens": 14940, + "cached_input_tokens": 12032, + "output_tokens": 244, + "total_tokens": 15184, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11904.66, + "sql_execution_elapsed_ms_total": 10.89, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3e5ea197b14f256d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3e5ea197b14f256d/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3e5ea197b14f256d/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..daf9ba025dc3ed12f416642c334aa97025e17cf7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3e5ea197b14f256d/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:30:12.447278+00:00", + "ended_at": "2026-05-19T15:30:24.351967+00:00", + "elapsed_ms": 11904.66, + "prompt_metrics": { + "chars": 9388, + "bytes_utf8": 9388, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1053, + "bytes_utf8": 1053, + "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": 370, + "bytes_utf8": 370, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14940, + "cached_input_tokens": 12032, + "output_tokens": 244, + "reasoning_output_tokens": 143 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3e5ea197b14f256d/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3e5ea197b14f256d/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..946293665181f2d4fa759ce575a44f24aef17e67 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3e5ea197b14f256d/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=feature_6, measure_col=feature_6.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "feature_6", + "measure_col": "feature_6", + "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": 86.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_3e5ea197b14f256d/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3e5ea197b14f256d/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b6ac6b53d8670c1662d05ef546eee3f67cc20b35 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3e5ea197b14f256d/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,5 @@ +{"type":"thread.started","thread_id":"019e40db-e266-77d0-84b2-0e1994dc3fa4"} +{"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 1987783, Requested 15575. Please try again in 100ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"feature_6\\\", SUM(CAST(\\\"feature_6\\\" AS NUMERIC)) AS total_measure\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_6\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Applied the provided Grouped Numeric Sum template with group_col and measure_col both bound to \\\"feature_6\\\". CAST is used because the schema stores feature columns as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14940,"cached_input_tokens":12032,"output_tokens":244,"reasoning_output_tokens":143}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3e5ea197b14f256d/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3e5ea197b14f256d/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..bf577d07ec030eea1196b709b577391051f3d8bf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3e5ea197b14f256d/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"feature_6\", SUM(CAST(\"feature_6\" AS NUMERIC)) AS total_measure\nFROM \"n9\"\nGROUP BY \"feature_6\"\nORDER BY total_measure DESC;","notes":"Applied the provided Grouped Numeric Sum template with group_col and measure_col both bound to \"feature_6\". CAST is used because the schema stores feature columns as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3e5ea197b14f256d/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3e5ea197b14f256d/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3e7e9ca7687ee50b/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3e7e9ca7687ee50b/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..def66f6ef6e9408bed98e010f04ce5ce8acd4b67 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3e7e9ca7687ee50b/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9806, "bytes_utf8": 9806, "lines": 302, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 603, "bytes_utf8": 603, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15060, "cached_input_tokens": 12032, "output_tokens": 696, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3e7e9ca7687ee50b/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3e7e9ca7687ee50b/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..e7fddf8cf53a40d68291d3f0dbce5b99352a05ce --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3e7e9ca7687ee50b/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_3e7e9ca7687ee50b", + "api_calls": 0, + "input_tokens": 15060, + "cached_input_tokens": 12032, + "output_tokens": 696, + "total_tokens": 15756, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14112.47, + "sql_execution_elapsed_ms_total": 32.4, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3e7e9ca7687ee50b/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3e7e9ca7687ee50b/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3e7e9ca7687ee50b/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6d65a348b7e76b4095ce8c2d3db5d57b3996ae24 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3e7e9ca7687ee50b/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": "2026-05-19T15:37:18.583931+00:00", + "ended_at": "2026-05-19T15:37:32.696445+00:00", + "elapsed_ms": 14112.47, + "prompt_metrics": { + "chars": 9806, + "bytes_utf8": 9806, + "lines": 302, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 985, + "bytes_utf8": 985, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 603, + "bytes_utf8": 603, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15060, + "cached_input_tokens": 12032, + "output_tokens": 696, + "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_a/n9/artifacts/v2q_n9_3e7e9ca7687ee50b/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3e7e9ca7687ee50b/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b983cde8629892673d12424f701a5a4943112abb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3e7e9ca7687ee50b/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,302 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=feature_14, measure_col=feature_15.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "feature_14", + "measure_col": "feature_15", + "item_col": "feature_16", + "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": 100.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_3e7e9ca7687ee50b/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3e7e9ca7687ee50b/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..32527caddf7da80b21cde0a738cc9835031a7603 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3e7e9ca7687ee50b/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e2-62eb-7161-91ae-86b9ed0b990d"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"feature_14\\\",\\n \\\"feature_16\\\",\\n SUM(CAST(\\\"feature_15\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"feature_15\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"feature_15\\\" AS REAL))) OVER (PARTITION BY \\\"feature_14\\\") AS share_within_group\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_14\\\", \\\"feature_16\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the Within-Group Share of Total template with group_col=\\\"feature_14\\\", item_col=\\\"feature_16\\\", and measure_col=\\\"feature_15\\\". CAST to REAL is used because the schema stores these fields as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15060,"cached_input_tokens":12032,"output_tokens":696,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3e7e9ca7687ee50b/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3e7e9ca7687ee50b/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..22c4f78380c3f201ae39022fe033cfbc9896d438 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3e7e9ca7687ee50b/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"feature_14\",\n \"feature_16\",\n SUM(CAST(\"feature_15\" AS REAL)) AS total_measure,\n SUM(CAST(\"feature_15\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"feature_15\" AS REAL))) OVER (PARTITION BY \"feature_14\") AS share_within_group\nFROM \"n9\"\nGROUP BY \"feature_14\", \"feature_16\"\nORDER BY share_within_group DESC;","notes":"Applied the Within-Group Share of Total template with group_col=\"feature_14\", item_col=\"feature_16\", and measure_col=\"feature_15\". CAST to REAL is used because the schema stores these fields as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3e7e9ca7687ee50b/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3e7e9ca7687ee50b/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4071f2dee311e284/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4071f2dee311e284/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..413a83affca75b9698f951010bd7fea773ca9799 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4071f2dee311e284/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9378, "bytes_utf8": 9378, "lines": 298, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 327, "bytes_utf8": 327, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14948, "cached_input_tokens": 13696, "output_tokens": 617, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4071f2dee311e284/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4071f2dee311e284/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..61ba762e2ede1e32fa7c2c23a32d5dc7d3168773 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4071f2dee311e284/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_4071f2dee311e284", + "api_calls": 0, + "input_tokens": 14948, + "cached_input_tokens": 13696, + "output_tokens": 617, + "total_tokens": 15565, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13332.55, + "sql_execution_elapsed_ms_total": 4.9, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4071f2dee311e284/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4071f2dee311e284/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4071f2dee311e284/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..8e0908f4d8d649a4f4429833d4e135364ad35171 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4071f2dee311e284/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:05:27.927278+00:00", + "ended_at": "2026-05-19T16:05:41.259853+00:00", + "elapsed_ms": 13332.55, + "prompt_metrics": { + "chars": 9378, + "bytes_utf8": 9378, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 688, + "bytes_utf8": 688, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 327, + "bytes_utf8": 327, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14948, + "cached_input_tokens": 13696, + "output_tokens": 617, + "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_a/n9/artifacts/v2q_n9_4071f2dee311e284/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4071f2dee311e284/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..035a52d232917dbfed2fc03f5e3470d240076873 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4071f2dee311e284/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=feature_3.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "feature_3", + "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": 54.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_4071f2dee311e284/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4071f2dee311e284/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..70a4dc592a77eaa847587e0a9854a4072ff4e8de --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4071f2dee311e284/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-2a06-7873-b05f-cf030158e8bb"} +{"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 \\\"feature_3\\\",\\n COUNT(*) AS \\\"support\\\"\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_3\\\"\\nORDER BY \\\"support\\\" ASC, \\\"feature_3\\\"\\nLIMIT 16;\",\"notes\":\"Uses the provided Low-Support Group Count template with group_col bound to \\\"feature_3\\\" and top_k set to 16.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14948,"cached_input_tokens":13696,"output_tokens":617,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4071f2dee311e284/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4071f2dee311e284/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..143b9d303b44b213d92e187d19ee53770314190e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4071f2dee311e284/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n \"feature_3\",\n COUNT(*) AS \"support\"\nFROM \"n9\"\nGROUP BY \"feature_3\"\nORDER BY \"support\" ASC, \"feature_3\"\nLIMIT 16;","notes":"Uses the provided Low-Support Group Count template with group_col bound to \"feature_3\" and top_k set to 16."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4071f2dee311e284/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4071f2dee311e284/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_422a1de8e51993a5/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_422a1de8e51993a5/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b38a66535e31edbd4b9facd805bba9b31c2dc49e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_422a1de8e51993a5/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9948, "bytes_utf8": 9948, "lines": 300, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 646, "bytes_utf8": 646, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15078, "cached_input_tokens": 13696, "output_tokens": 606, "reasoning_output_tokens": 431}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_422a1de8e51993a5/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_422a1de8e51993a5/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..6c3a9c27b0e5bc60e7f4bf045a9648052a88455a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_422a1de8e51993a5/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_422a1de8e51993a5", + "api_calls": 0, + "input_tokens": 15078, + "cached_input_tokens": 13696, + "output_tokens": 606, + "total_tokens": 15684, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 17816.43, + "sql_execution_elapsed_ms_total": 5.75, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_422a1de8e51993a5/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_422a1de8e51993a5/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_422a1de8e51993a5/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b50bfed46a81c01a549c033bc11e017aebc33049 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_422a1de8e51993a5/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:48:04.713063+00:00", + "ended_at": "2026-05-19T15:48:22.529530+00:00", + "elapsed_ms": 17816.43, + "prompt_metrics": { + "chars": 9948, + "bytes_utf8": 9948, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1013, + "bytes_utf8": 1013, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 646, + "bytes_utf8": 646, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15078, + "cached_input_tokens": 13696, + "output_tokens": 606, + "reasoning_output_tokens": 431 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_422a1de8e51993a5/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_422a1de8e51993a5/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..72b69efeb199153fecf9aeed64552c29dd2f5e08 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_422a1de8e51993a5/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=feature_9, measure_col=feature_13.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "feature_9", + "measure_col": "feature_13", + "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": 61.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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_a/n9/artifacts/v2q_n9_422a1de8e51993a5/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_422a1de8e51993a5/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..9bf72b7bc74a0fcae80c63ed75e11e79318e794d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_422a1de8e51993a5/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ec-3f62-7e02-9505-5418b9f5ab8f"} +{"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 \\\"feature_9\\\", SUM(CAST(\\\"feature_13\\\" AS REAL)) AS group_value\\n FROM \\\"n9\\\"\\n GROUP BY \\\"feature_9\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"feature_9\\\", 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=\\\"feature_9\\\" and measure_col=\\\"feature_13\\\". Casted the measure to REAL because the schema stores numeric-looking values as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15078,"cached_input_tokens":13696,"output_tokens":606,"reasoning_output_tokens":431}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_422a1de8e51993a5/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_422a1de8e51993a5/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ca07259caf8d0541b1a27f5708990f96cccd7271 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_422a1de8e51993a5/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"feature_9\", SUM(CAST(\"feature_13\" AS REAL)) AS group_value\n FROM \"n9\"\n GROUP BY \"feature_9\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"feature_9\", 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=\"feature_9\" and measure_col=\"feature_13\". Casted the measure to REAL because the schema stores numeric-looking values as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_422a1de8e51993a5/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_422a1de8e51993a5/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_45c63e1f77f22194/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_45c63e1f77f22194/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2322ef92d7c2577a14607c05213e74801252c0df --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_45c63e1f77f22194/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9376, "bytes_utf8": 9376, "lines": 298, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "status": "failed", "error": "AI CLI command failed with exit code 1: "} +{"attempt": 2, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_2.txt", "metrics": {"chars": 9376, "bytes_utf8": 9376, "lines": 298, "estimated_tokens": null}} +{"attempt": 2, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_2.txt", "raw_content_path": "cli/sql_response_attempt_2.raw.txt", "stderr_path": "cli/sql_stderr_attempt_2.txt", "metrics": {"chars": 312, "bytes_utf8": 312, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14949, "cached_input_tokens": 12032, "output_tokens": 337, "reasoning_output_tokens": 238}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_45c63e1f77f22194/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_45c63e1f77f22194/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..8700ddf6f15fd27df623c8f27475ec5877b2948d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_45c63e1f77f22194/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_45c63e1f77f22194", + "api_calls": 0, + "input_tokens": 14949, + "cached_input_tokens": 12032, + "output_tokens": 337, + "total_tokens": 15286, + "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": 12158.08, + "sql_execution_elapsed_ms_total": 4.59, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_45c63e1f77f22194/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_45c63e1f77f22194/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_45c63e1f77f22194/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d43f98894b3ca07889bcbf586295e2425bf81aa0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_45c63e1f77f22194/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:06:28.384359+00:00", + "ended_at": "2026-05-19T16:06:31.406912+00:00", + "elapsed_ms": 3022.53, + "returncode": 1, + "prompt_metrics": { + "chars": 9376, + "bytes_utf8": 9376, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_45c63e1f77f22194/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_45c63e1f77f22194/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..46d49d4a2a9af85872603aeb6eb43f731c47b188 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_45c63e1f77f22194/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": "2026-05-19T16:06:32.409560+00:00", + "ended_at": "2026-05-19T16:06:41.545152+00:00", + "elapsed_ms": 9135.55, + "prompt_metrics": { + "chars": 9376, + "bytes_utf8": 9376, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 673, + "bytes_utf8": 673, + "lines": 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": 14949, + "cached_input_tokens": 12032, + "output_tokens": 337, + "reasoning_output_tokens": 238 + } + }, + "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_a/n9/artifacts/v2q_n9_45c63e1f77f22194/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_45c63e1f77f22194/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..417e5ae661f875038830d3e93b0d6c643eaada14 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_45c63e1f77f22194/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=feature_6.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "feature_6", + "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": 68.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_45c63e1f77f22194/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_45c63e1f77f22194/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..417e5ae661f875038830d3e93b0d6c643eaada14 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_45c63e1f77f22194/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=feature_6.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "feature_6", + "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": 68.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_45c63e1f77f22194/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_45c63e1f77f22194/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..4ee9caf484c0a16a151c96b156f8354db1360b78 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_45c63e1f77f22194/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-1620-7d50-8bda-7e924ddf056d"} +{"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_a/n9/artifacts/v2q_n9_45c63e1f77f22194/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_45c63e1f77f22194/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f6cbacd78f889263e693e9c89c734d8d4717cb42 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_45c63e1f77f22194/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-1620-7d50-8bda-7e924ddf056d"} +{"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_a/n9/artifacts/v2q_n9_45c63e1f77f22194/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_45c63e1f77f22194/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..3dd159ca92bcd9fbbb1190a7ab7b8d582fb81d8c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_45c63e1f77f22194/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-25f4-7d23-b5c4-a4a937b147da"} +{"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 \\\"feature_6\\\",\\n COUNT(*) AS \\\"support\\\"\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_6\\\"\\nORDER BY \\\"support\\\" ASC, \\\"feature_6\\\"\\nLIMIT 14;\",\"notes\":\"Uses the Low-Support Group Count template with group_col bound to \\\"feature_6\\\" and top_k=14.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14949,"cached_input_tokens":12032,"output_tokens":337,"reasoning_output_tokens":238}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_45c63e1f77f22194/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_45c63e1f77f22194/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..604103ee52b7ad18afe18a712274e841c2b8f47a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_45c63e1f77f22194/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tail_low_support_group_count_v2.\nSELECT\n \"feature_6\",\n COUNT(*) AS \"support\"\nFROM \"n9\"\nGROUP BY \"feature_6\"\nORDER BY \"support\" ASC, \"feature_6\"\nLIMIT 14;","notes":"Uses the Low-Support Group Count template with group_col bound to \"feature_6\" and top_k=14."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_45c63e1f77f22194/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_45c63e1f77f22194/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_45c63e1f77f22194/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_45c63e1f77f22194/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_49e2f541fc7596a2/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_49e2f541fc7596a2/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c82f20c6c1a043c23e01b05593683e936c780235 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_49e2f541fc7596a2/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9299, "bytes_utf8": 9299, "lines": 298, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 279, "bytes_utf8": 279, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14911, "cached_input_tokens": 13696, "output_tokens": 202, "reasoning_output_tokens": 122}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_49e2f541fc7596a2/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_49e2f541fc7596a2/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..0e26d4479e3325230c301676c1e885c0c4b27133 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_49e2f541fc7596a2/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_49e2f541fc7596a2", + "api_calls": 0, + "input_tokens": 14911, + "cached_input_tokens": 13696, + "output_tokens": 202, + "total_tokens": 15113, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 17852.24, + "sql_execution_elapsed_ms_total": 4.81, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_49e2f541fc7596a2/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_49e2f541fc7596a2/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_49e2f541fc7596a2/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a62dc955d11c7c4c608ec1419c6c2a7e81547c59 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_49e2f541fc7596a2/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": "2026-05-19T15:31:55.869458+00:00", + "ended_at": "2026-05-19T15:32:13.721729+00:00", + "elapsed_ms": 17852.24, + "prompt_metrics": { + "chars": 9299, + "bytes_utf8": 9299, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 629, + "bytes_utf8": 629, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 279, + "bytes_utf8": 279, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14911, + "cached_input_tokens": 13696, + "output_tokens": 202, + "reasoning_output_tokens": 122 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_49e2f541fc7596a2/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_49e2f541fc7596a2/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..edeb01f040c353bc2fd828a5a5dee2fdb4c9b50d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_49e2f541fc7596a2/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=feature_13.", + "planned_template_id": "tpl_clickbench_group_count", + "bindings": { + "group_col": "feature_13", + "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": 68.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_49e2f541fc7596a2/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_49e2f541fc7596a2/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..49fec8d4394f76b57461260cccbb0539d8efa1cc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_49e2f541fc7596a2/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40dd-7692-7863-827b-ca1140d7efb3"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"feature_13\\\", COUNT(*) AS row_count\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_13\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Uses the planned grouped-count template with group_col bound to \\\"feature_13\\\" on the single table \\\"n9\\\".\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14911,"cached_input_tokens":13696,"output_tokens":202,"reasoning_output_tokens":122}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_49e2f541fc7596a2/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_49e2f541fc7596a2/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..66f62b5fe9256f8f3e4c1237dd9fc4c139bddd86 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_49e2f541fc7596a2/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_clickbench_group_count\nSELECT \"feature_13\", COUNT(*) AS row_count\nFROM \"n9\"\nGROUP BY \"feature_13\"\nORDER BY row_count DESC;","notes":"Uses the planned grouped-count template with group_col bound to \"feature_13\" on the single table \"n9\"."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_49e2f541fc7596a2/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_49e2f541fc7596a2/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ae578da22c929d1/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ae578da22c929d1/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..af912617b2c865180f5f8e9d70da779ebea0d05e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ae578da22c929d1/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10187, "bytes_utf8": 10187, "lines": 303, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 671, "bytes_utf8": 671, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15145, "cached_input_tokens": 13696, "output_tokens": 467, "reasoning_output_tokens": 280}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ae578da22c929d1/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ae578da22c929d1/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..0549ccf912bc8787be77d75cf845c9134a504528 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ae578da22c929d1/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_4ae578da22c929d1", + "api_calls": 0, + "input_tokens": 15145, + "cached_input_tokens": 13696, + "output_tokens": 467, + "total_tokens": 15612, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14673.08, + "sql_execution_elapsed_ms_total": 14.84, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ae578da22c929d1/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ae578da22c929d1/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ae578da22c929d1/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..23c68edb47d1cc5f47b9223f97bcbdaba6cd210c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ae578da22c929d1/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:40:33.061630+00:00", + "ended_at": "2026-05-19T15:40:47.734747+00:00", + "elapsed_ms": 14673.08, + "prompt_metrics": { + "chars": 10187, + "bytes_utf8": 10187, + "lines": 303, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1040, + "bytes_utf8": 1040, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 671, + "bytes_utf8": 671, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15145, + "cached_input_tokens": 13696, + "output_tokens": 467, + "reasoning_output_tokens": 280 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ae578da22c929d1/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ae578da22c929d1/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5f89de71b5a7b9aa018b7e9763b8092dcf6a0fa9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ae578da22c929d1/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,303 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=feature_7, condition_col=class.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "feature_7", + "condition_col": "class", + "condition_value": "2", + "positive_value": "2", + "negative_value": "4", + "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": 89.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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_a/n9/artifacts/v2q_n9_4ae578da22c929d1/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ae578da22c929d1/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..9f11e9afc96913baddee8d1878b480c5f14f5987 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ae578da22c929d1/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e5-5aaf-7881-adca-8c97e6c56669"} +{"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 \\\"feature_7\\\",\\n SUM(CASE WHEN \\\"class\\\" = '2' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"class\\\" = '4' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"n9\\\"\\n GROUP BY \\\"feature_7\\\"\\n)\\nSELECT \\\"feature_7\\\",\\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 with group_col=\\\"feature_7\\\" and condition_col=\\\"class\\\", computing the ratio of class '2' counts to class '4' counts for each feature_7 group.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15145,"cached_input_tokens":13696,"output_tokens":467,"reasoning_output_tokens":280}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ae578da22c929d1/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ae578da22c929d1/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f746cf3a3c410267999489af34fa76866bdba480 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ae578da22c929d1/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT \"feature_7\",\n SUM(CASE WHEN \"class\" = '2' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"class\" = '4' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"n9\"\n GROUP BY \"feature_7\"\n)\nSELECT \"feature_7\",\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 with group_col=\"feature_7\" and condition_col=\"class\", computing the ratio of class '2' counts to class '4' counts for each feature_7 group."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ae578da22c929d1/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ae578da22c929d1/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4c5d29d66bc3d2d2/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4c5d29d66bc3d2d2/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1acd3130bdaa54fcf11061e26dd33a1565125130 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4c5d29d66bc3d2d2/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:05:04.284646+00:00", + "ended_at": "2026-05-19T16:05:07.750704+00:00", + "elapsed_ms": 3466.03, + "returncode": 1, + "prompt_metrics": { + "chars": 9376, + "bytes_utf8": 9376, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4c5d29d66bc3d2d2/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4c5d29d66bc3d2d2/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..5a8577c9eb7647482c3a4a1b1095dfa812f3fbc2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4c5d29d66bc3d2d2/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": "2026-05-19T16:05:08.753077+00:00", + "ended_at": "2026-05-19T16:05:12.172854+00:00", + "elapsed_ms": 3419.73, + "returncode": 1, + "prompt_metrics": { + "chars": 9376, + "bytes_utf8": 9376, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4c5d29d66bc3d2d2/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4c5d29d66bc3d2d2/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..00250d252b93655a21f73931277a97264f62b745 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4c5d29d66bc3d2d2/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=feature_2.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "feature_2", + "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": 89.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_4c5d29d66bc3d2d2/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4c5d29d66bc3d2d2/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..00250d252b93655a21f73931277a97264f62b745 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4c5d29d66bc3d2d2/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=feature_2.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "feature_2", + "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": 89.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_4c5d29d66bc3d2d2/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4c5d29d66bc3d2d2/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5a6468f80952126d96e6a72a1857f85a9b77feeb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4c5d29d66bc3d2d2/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-cd96-7f61-9356-1447a8c444b9"} +{"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_a/n9/artifacts/v2q_n9_4c5d29d66bc3d2d2/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4c5d29d66bc3d2d2/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..958414c8ad74a1ef946c204f098e0837685ad6ed --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4c5d29d66bc3d2d2/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-cd96-7f61-9356-1447a8c444b9"} +{"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_a/n9/artifacts/v2q_n9_4c5d29d66bc3d2d2/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4c5d29d66bc3d2d2/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..7bff48a948b049c9972efff48ba3e4f8fd6532e7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4c5d29d66bc3d2d2/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-df24-7690-a055-7c59b93dec64"} +{"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_a/n9/artifacts/v2q_n9_4c5d29d66bc3d2d2/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4c5d29d66bc3d2d2/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..036b2791fbee3d29e088bba5140bf9eb3c52ca59 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4c5d29d66bc3d2d2/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-df24-7690-a055-7c59b93dec64"} +{"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_a/n9/artifacts/v2q_n9_4c5d29d66bc3d2d2/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4c5d29d66bc3d2d2/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4c5d29d66bc3d2d2/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4c5d29d66bc3d2d2/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4cdd6361ae5882f4/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4cdd6361ae5882f4/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..69533986a0bedd0ce61c134645c8aa484c5e49ed --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4cdd6361ae5882f4/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": "2026-05-19T16:09:02.868941+00:00", + "ended_at": "2026-05-19T16:09:06.013725+00:00", + "elapsed_ms": 3144.76, + "returncode": 1, + "prompt_metrics": { + "chars": 9475, + "bytes_utf8": 9475, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4cdd6361ae5882f4/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4cdd6361ae5882f4/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..47e3274758d9f5a9e78d36ed1b863a562602adaf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4cdd6361ae5882f4/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": "2026-05-19T16:09:07.015267+00:00", + "ended_at": "2026-05-19T16:09:10.182295+00:00", + "elapsed_ms": 3167.0, + "returncode": 1, + "prompt_metrics": { + "chars": 9475, + "bytes_utf8": 9475, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4cdd6361ae5882f4/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4cdd6361ae5882f4/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6b22d4ff7008b5d88ea582e9b905a7255d7fe25b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4cdd6361ae5882f4/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=feature_1, measure_col=feature_9.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "feature_1", + "measure_col": "feature_9", + "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": 89.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_4cdd6361ae5882f4/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4cdd6361ae5882f4/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..6b22d4ff7008b5d88ea582e9b905a7255d7fe25b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4cdd6361ae5882f4/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=feature_1, measure_col=feature_9.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "feature_1", + "measure_col": "feature_9", + "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": 89.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_4cdd6361ae5882f4/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4cdd6361ae5882f4/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..63213bd6a5decc7c76186f379afc5846f2f05396 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4cdd6361ae5882f4/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-71d8-7703-aa21-9e4cb263bbd7"} +{"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_a/n9/artifacts/v2q_n9_4cdd6361ae5882f4/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4cdd6361ae5882f4/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..086fdfb879414d2814649832058545b34c9ab03a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4cdd6361ae5882f4/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-71d8-7703-aa21-9e4cb263bbd7"} +{"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_a/n9/artifacts/v2q_n9_4cdd6361ae5882f4/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4cdd6361ae5882f4/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..12d7689d4556e097d7042b83c601bdf966558ad3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4cdd6361ae5882f4/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-81d8-7571-b728-09348711f369"} +{"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_a/n9/artifacts/v2q_n9_4cdd6361ae5882f4/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4cdd6361ae5882f4/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..2a8f0ebdac9890181a89d8c042a4173b6b554fbc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4cdd6361ae5882f4/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-81d8-7571-b728-09348711f369"} +{"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_a/n9/artifacts/v2q_n9_4cdd6361ae5882f4/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4cdd6361ae5882f4/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4cdd6361ae5882f4/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4cdd6361ae5882f4/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ddc0e9817685f44/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ddc0e9817685f44/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..9d4144478e520d410ef18978edaf941fc4ec2f00 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ddc0e9817685f44/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": "2026-05-19T16:09:54.800552+00:00", + "ended_at": "2026-05-19T16:09:57.994462+00:00", + "elapsed_ms": 3193.89, + "returncode": 1, + "prompt_metrics": { + "chars": 9477, + "bytes_utf8": 9477, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ddc0e9817685f44/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ddc0e9817685f44/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..2b2e2d142ddd159d2b9a458c02504b607359258b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ddc0e9817685f44/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": "2026-05-19T16:09:58.996473+00:00", + "ended_at": "2026-05-19T16:10:01.737228+00:00", + "elapsed_ms": 2740.73, + "returncode": 1, + "prompt_metrics": { + "chars": 9477, + "bytes_utf8": 9477, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ddc0e9817685f44/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ddc0e9817685f44/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..aa462cac362db607e2c99c09b488429dfb307487 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ddc0e9817685f44/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=feature_4, measure_col=feature_12.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "feature_4", + "measure_col": "feature_12", + "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": 48.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_4ddc0e9817685f44/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ddc0e9817685f44/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..aa462cac362db607e2c99c09b488429dfb307487 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ddc0e9817685f44/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=feature_4, measure_col=feature_12.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "feature_4", + "measure_col": "feature_12", + "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": 48.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_4ddc0e9817685f44/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ddc0e9817685f44/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6f7e30b7a3702096ec814174ee528571c3e3b421 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ddc0e9817685f44/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-3c85-7252-aa7a-a34ae539d9ee"} +{"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_a/n9/artifacts/v2q_n9_4ddc0e9817685f44/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ddc0e9817685f44/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..46b0395f6d182438f1bcd8320a9839f515945b59 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ddc0e9817685f44/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-3c85-7252-aa7a-a34ae539d9ee"} +{"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_a/n9/artifacts/v2q_n9_4ddc0e9817685f44/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ddc0e9817685f44/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..9565ec8c9245f223fb48068137ea042c983d871f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ddc0e9817685f44/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-4ccc-72c3-88ba-ffc1542be6cc"} +{"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_a/n9/artifacts/v2q_n9_4ddc0e9817685f44/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ddc0e9817685f44/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e99b6bfa54eefc488c87dc7044010340d3158e28 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ddc0e9817685f44/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-4ccc-72c3-88ba-ffc1542be6cc"} +{"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_a/n9/artifacts/v2q_n9_4ddc0e9817685f44/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ddc0e9817685f44/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ddc0e9817685f44/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ddc0e9817685f44/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4eb0ead15b5f9504/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4eb0ead15b5f9504/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..49f0f52aeba2dfc6e9b8af7d2ca2e48295953d2d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4eb0ead15b5f9504/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9378, "bytes_utf8": 9378, "lines": 298, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "status": "failed", "error": "AI CLI command failed with exit code 1: "} +{"attempt": 2, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_2.txt", "metrics": {"chars": 9378, "bytes_utf8": 9378, "lines": 298, "estimated_tokens": null}} +{"attempt": 2, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_2.txt", "raw_content_path": "cli/sql_response_attempt_2.raw.txt", "stderr_path": "cli/sql_stderr_attempt_2.txt", "metrics": {"chars": 299, "bytes_utf8": 299, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14948, "cached_input_tokens": 12032, "output_tokens": 223, "reasoning_output_tokens": 131}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4eb0ead15b5f9504/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4eb0ead15b5f9504/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..0fba9437f008d128eca8a2f5463168c4f1a88bb6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4eb0ead15b5f9504/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_4eb0ead15b5f9504", + "api_calls": 0, + "input_tokens": 14948, + "cached_input_tokens": 12032, + "output_tokens": 223, + "total_tokens": 15171, + "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": 12621.47, + "sql_execution_elapsed_ms_total": 4.73, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4eb0ead15b5f9504/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4eb0ead15b5f9504/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4eb0ead15b5f9504/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..cfc511bd3fb9c419578237bb27832d6e0e0cd727 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4eb0ead15b5f9504/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:06:14.752050+00:00", + "ended_at": "2026-05-19T16:06:18.365836+00:00", + "elapsed_ms": 3613.76, + "returncode": 1, + "prompt_metrics": { + "chars": 9378, + "bytes_utf8": 9378, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4eb0ead15b5f9504/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4eb0ead15b5f9504/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..0a5b3b163c27244bc21860768668641d1dd3aac8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4eb0ead15b5f9504/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": "2026-05-19T16:06:19.367972+00:00", + "ended_at": "2026-05-19T16:06:28.375752+00:00", + "elapsed_ms": 9007.71, + "prompt_metrics": { + "chars": 9378, + "bytes_utf8": 9378, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 648, + "bytes_utf8": 648, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 299, + "bytes_utf8": 299, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14948, + "cached_input_tokens": 12032, + "output_tokens": 223, + "reasoning_output_tokens": 131 + } + }, + "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_a/n9/artifacts/v2q_n9_4eb0ead15b5f9504/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4eb0ead15b5f9504/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..244c8edc82ac7f3092719d6fd687eb4928b17522 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4eb0ead15b5f9504/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=feature_5.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "feature_5", + "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": 55.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_4eb0ead15b5f9504/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4eb0ead15b5f9504/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..244c8edc82ac7f3092719d6fd687eb4928b17522 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4eb0ead15b5f9504/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=feature_5.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "feature_5", + "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": 55.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_4eb0ead15b5f9504/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4eb0ead15b5f9504/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..69626ae825be7103d6c0dc8976bb1804404a5e90 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4eb0ead15b5f9504/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-e0ee-7cd3-8ebe-ae467ad68fff"} +{"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_a/n9/artifacts/v2q_n9_4eb0ead15b5f9504/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4eb0ead15b5f9504/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..718a32a65db7e173444b47b546c39e64c4d530bc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4eb0ead15b5f9504/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-e0ee-7cd3-8ebe-ae467ad68fff"} +{"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_a/n9/artifacts/v2q_n9_4eb0ead15b5f9504/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4eb0ead15b5f9504/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..2dcc7550de388e95acf79cc115f650e96aa187c5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4eb0ead15b5f9504/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-f2f6-7cf0-bf72-d5a1361b4e2b"} +{"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 \\\"feature_5\\\",\\n COUNT(*) AS support\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_5\\\"\\nORDER BY support ASC, \\\"feature_5\\\"\\nLIMIT 18;\",\"notes\":\"Uses the Low-Support Group Count template with group_col bound to feature_5 and top_k=18.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14948,"cached_input_tokens":12032,"output_tokens":223,"reasoning_output_tokens":131}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4eb0ead15b5f9504/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4eb0ead15b5f9504/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..74f035e1ab5cd0dab6644fa6463909f208949730 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4eb0ead15b5f9504/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n \"feature_5\",\n COUNT(*) AS support\nFROM \"n9\"\nGROUP BY \"feature_5\"\nORDER BY support ASC, \"feature_5\"\nLIMIT 18;","notes":"Uses the Low-Support Group Count template with group_col bound to feature_5 and top_k=18."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4eb0ead15b5f9504/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4eb0ead15b5f9504/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4eb0ead15b5f9504/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4eb0ead15b5f9504/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_52ce09dd6e4995e7/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_52ce09dd6e4995e7/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a19bba200646b0d69d52aecb535d2b88c5f8292e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_52ce09dd6e4995e7/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9389, "bytes_utf8": 9389, "lines": 300, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 362, "bytes_utf8": 362, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14940, "cached_input_tokens": 12032, "output_tokens": 578, "reasoning_output_tokens": 475}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_52ce09dd6e4995e7/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_52ce09dd6e4995e7/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..321e6d6b6cbfbd5f0d49f74acb07612911e167a6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_52ce09dd6e4995e7/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_52ce09dd6e4995e7", + "api_calls": 0, + "input_tokens": 14940, + "cached_input_tokens": 12032, + "output_tokens": 578, + "total_tokens": 15518, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 20661.5, + "sql_execution_elapsed_ms_total": 7.58, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_52ce09dd6e4995e7/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_52ce09dd6e4995e7/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_52ce09dd6e4995e7/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..2c4744b740aa4a568d23ee3e0caaaed5b5999808 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_52ce09dd6e4995e7/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": "2026-05-19T15:31:25.523150+00:00", + "ended_at": "2026-05-19T15:31:46.184682+00:00", + "elapsed_ms": 20661.5, + "prompt_metrics": { + "chars": 9389, + "bytes_utf8": 9389, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1057, + "bytes_utf8": 1057, + "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": 362, + "bytes_utf8": 362, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14940, + "cached_input_tokens": 12032, + "output_tokens": 578, + "reasoning_output_tokens": 475 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_52ce09dd6e4995e7/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_52ce09dd6e4995e7/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c2e67714bbeb239efba91961d07b3d192af396d7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_52ce09dd6e4995e7/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=feature_9, measure_col=feature_9.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "feature_9", + "measure_col": "feature_9", + "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": 89.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_52ce09dd6e4995e7/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_52ce09dd6e4995e7/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..eea2ba94d356df0a58f884257115180a0272fb00 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_52ce09dd6e4995e7/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,5 @@ +{"type":"thread.started","thread_id":"019e40dc-ffdf-7300-973a-64108b24d235"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 15575. Please try again in 467ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"feature_9\\\", SUM(CAST(\\\"feature_9\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_9\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Used the required template with group_col=\\\"feature_9\\\" and measure_col=\\\"feature_9\\\". CAST is applied because the schema stores numeric-looking values as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14940,"cached_input_tokens":12032,"output_tokens":578,"reasoning_output_tokens":475}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_52ce09dd6e4995e7/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_52ce09dd6e4995e7/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..62092b6f0b5b25a46dc187174da8b47a33b50c05 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_52ce09dd6e4995e7/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"feature_9\", SUM(CAST(\"feature_9\" AS REAL)) AS \"total_measure\"\nFROM \"n9\"\nGROUP BY \"feature_9\"\nORDER BY \"total_measure\" DESC;","notes":"Used the required template with group_col=\"feature_9\" and measure_col=\"feature_9\". CAST is applied because the schema stores numeric-looking values as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_52ce09dd6e4995e7/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_52ce09dd6e4995e7/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_53d3b8da9673c547/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_53d3b8da9673c547/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a06325cfac9e2e39eab004d506ecbbaac7c2354f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_53d3b8da9673c547/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9391, "bytes_utf8": 9391, "lines": 300, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 365, "bytes_utf8": 365, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14940, "cached_input_tokens": 12032, "output_tokens": 540, "reasoning_output_tokens": 440}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_53d3b8da9673c547/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_53d3b8da9673c547/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..e6af201712b836381c4ebe9c85a203a8bc7391ec --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_53d3b8da9673c547/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_53d3b8da9673c547", + "api_calls": 0, + "input_tokens": 14940, + "cached_input_tokens": 12032, + "output_tokens": 540, + "total_tokens": 15480, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14001.91, + "sql_execution_elapsed_ms_total": 5.08, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_53d3b8da9673c547/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_53d3b8da9673c547/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_53d3b8da9673c547/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..0401afed282bab6d83faf7aaaa43f11548d5d047 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_53d3b8da9673c547/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": "2026-05-19T15:28:49.392566+00:00", + "ended_at": "2026-05-19T15:29:03.394505+00:00", + "elapsed_ms": 14001.91, + "prompt_metrics": { + "chars": 9391, + "bytes_utf8": 9391, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 715, + "bytes_utf8": 715, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 365, + "bytes_utf8": 365, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14940, + "cached_input_tokens": 12032, + "output_tokens": 540, + "reasoning_output_tokens": 440 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_53d3b8da9673c547/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_53d3b8da9673c547/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e867bfcf6793956bfef2df47a36065ac11f24459 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_53d3b8da9673c547/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=feature_2, measure_col=feature_2.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "feature_2", + "measure_col": "feature_2", + "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": 96.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_53d3b8da9673c547/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_53d3b8da9673c547/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..69fa67e1763b3fe13ec3bec5f15abc64d56325d6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_53d3b8da9673c547/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40da-9e04-7fb0-81ff-8c9ec1e5224a"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"feature_2\\\", SUM(CAST(\\\"feature_2\\\" AS REAL)) AS total_measure\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_2\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the planned Grouped Numeric Sum template with group_col and measure_col both bound to \\\"feature_2\\\". CAST was added because the schema stores feature columns as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14940,"cached_input_tokens":12032,"output_tokens":540,"reasoning_output_tokens":440}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_53d3b8da9673c547/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_53d3b8da9673c547/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4e512d51185d169d49b6de36fc0f31f65f4f0c86 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_53d3b8da9673c547/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"feature_2\", SUM(CAST(\"feature_2\" AS REAL)) AS total_measure\nFROM \"n9\"\nGROUP BY \"feature_2\"\nORDER BY total_measure DESC;","notes":"Used the planned Grouped Numeric Sum template with group_col and measure_col both bound to \"feature_2\". CAST was added because the schema stores feature columns as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_53d3b8da9673c547/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_53d3b8da9673c547/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_543b8570fff58ef8/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_543b8570fff58ef8/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..57a5b3568dab27420c468db0efcab888a03bf76e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_543b8570fff58ef8/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9390, "bytes_utf8": 9390, "lines": 300, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 362, "bytes_utf8": 362, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14940, "cached_input_tokens": 12032, "output_tokens": 340, "reasoning_output_tokens": 241}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_543b8570fff58ef8/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_543b8570fff58ef8/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..b99a48cd0a256bbd9b84d9c88d2f105bad2d9f45 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_543b8570fff58ef8/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_543b8570fff58ef8", + "api_calls": 0, + "input_tokens": 14940, + "cached_input_tokens": 12032, + "output_tokens": 340, + "total_tokens": 15280, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9651.12, + "sql_execution_elapsed_ms_total": 12.19, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_543b8570fff58ef8/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_543b8570fff58ef8/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_543b8570fff58ef8/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d9e8926a3702858d99f936a0ef693519f7e0bf2c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_543b8570fff58ef8/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": "2026-05-19T15:31:46.197783+00:00", + "ended_at": "2026-05-19T15:31:55.848945+00:00", + "elapsed_ms": 9651.12, + "prompt_metrics": { + "chars": 9390, + "bytes_utf8": 9390, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 712, + "bytes_utf8": 712, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 362, + "bytes_utf8": 362, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14940, + "cached_input_tokens": 12032, + "output_tokens": 340, + "reasoning_output_tokens": 241 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_543b8570fff58ef8/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_543b8570fff58ef8/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..17d06faddcdd97afdeb40ca556c73da7b0d7964a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_543b8570fff58ef8/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=feature_9, measure_col=feature_9.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "feature_9", + "measure_col": "feature_9", + "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": 80.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_543b8570fff58ef8/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_543b8570fff58ef8/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..12031f01ce9cdb294f932b47b87591d2dba57a31 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_543b8570fff58ef8/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40dd-50aa-74e0-8e86-7da5579a5719"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"feature_9\\\", SUM(CAST(\\\"feature_9\\\" AS REAL)) AS total_measure\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_9\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Applied the Grouped Numeric Sum template with \\\"feature_9\\\" as both grouping and measure column; cast the TEXT-valued measure to REAL for numeric aggregation in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14940,"cached_input_tokens":12032,"output_tokens":340,"reasoning_output_tokens":241}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_543b8570fff58ef8/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_543b8570fff58ef8/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d63f6039720e4c1c3db5b65b3c2ed1a2aff05b5e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_543b8570fff58ef8/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"feature_9\", SUM(CAST(\"feature_9\" AS REAL)) AS total_measure\nFROM \"n9\"\nGROUP BY \"feature_9\"\nORDER BY total_measure DESC;","notes":"Applied the Grouped Numeric Sum template with \"feature_9\" as both grouping and measure column; cast the TEXT-valued measure to REAL for numeric aggregation in SQLite."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_543b8570fff58ef8/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_543b8570fff58ef8/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_55adc71151b1e66e/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_55adc71151b1e66e/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ef213e52b4a2368b12c5c1cbc0edcd05a2806e14 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_55adc71151b1e66e/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9802, "bytes_utf8": 9802, "lines": 302, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 681, "bytes_utf8": 681, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15059, "cached_input_tokens": 13696, "output_tokens": 881, "reasoning_output_tokens": 680}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_55adc71151b1e66e/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_55adc71151b1e66e/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..e57fffc43477fc564a1105e6bd870af1735e2864 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_55adc71151b1e66e/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_55adc71151b1e66e", + "api_calls": 0, + "input_tokens": 15059, + "cached_input_tokens": 13696, + "output_tokens": 881, + "total_tokens": 15940, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15832.63, + "sql_execution_elapsed_ms_total": 30.87, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_55adc71151b1e66e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_55adc71151b1e66e/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_55adc71151b1e66e/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d3a61a0c0d6c3073afdc075a43992305acf27e0a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_55adc71151b1e66e/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": "2026-05-19T15:37:32.737180+00:00", + "ended_at": "2026-05-19T15:37:48.569857+00:00", + "elapsed_ms": 15832.63, + "prompt_metrics": { + "chars": 9802, + "bytes_utf8": 9802, + "lines": 302, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1077, + "bytes_utf8": 1077, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 681, + "bytes_utf8": 681, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15059, + "cached_input_tokens": 13696, + "output_tokens": 881, + "reasoning_output_tokens": 680 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_55adc71151b1e66e/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_55adc71151b1e66e/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..84680de1efa2d58abe374a855fb52c206268b152 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_55adc71151b1e66e/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,302 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=feature_14, measure_col=feature_15.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "feature_14", + "measure_col": "feature_15", + "item_col": "feature_16", + "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": 81.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_55adc71151b1e66e/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_55adc71151b1e66e/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..570848a7ad69c799c409e9397f2a27463240f49d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_55adc71151b1e66e/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e2-9a38-77d2-a5eb-2706e53c23f7"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"feature_14\\\",\\n \\\"feature_16\\\",\\n SUM(CAST(\\\"feature_15\\\" AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(\\\"feature_15\\\" AS REAL)) * 100.0\\n / SUM(SUM(CAST(\\\"feature_15\\\" AS REAL))) OVER (PARTITION BY \\\"feature_14\\\") AS \\\"share_within_group\\\"\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_14\\\", \\\"feature_16\\\"\\nORDER BY \\\"share_within_group\\\" DESC\\nLIMIT 15;\",\"notes\":\"Used the provided Within-Group Share of Total template with group_col=\\\"feature_14\\\", item_col=\\\"feature_16\\\", and measure_col=\\\"feature_15\\\". CAST to REAL is included because the schema stores features as TEXT. LIMIT 15 applies the provided top_k binding.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15059,"cached_input_tokens":13696,"output_tokens":881,"reasoning_output_tokens":680}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_55adc71151b1e66e/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_55adc71151b1e66e/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..373213e0d718249307dd10da986e9cdc48aa07c8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_55adc71151b1e66e/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"feature_14\",\n \"feature_16\",\n SUM(CAST(\"feature_15\" AS REAL)) AS \"total_measure\",\n SUM(CAST(\"feature_15\" AS REAL)) * 100.0\n / SUM(SUM(CAST(\"feature_15\" AS REAL))) OVER (PARTITION BY \"feature_14\") AS \"share_within_group\"\nFROM \"n9\"\nGROUP BY \"feature_14\", \"feature_16\"\nORDER BY \"share_within_group\" DESC\nLIMIT 15;","notes":"Used the provided Within-Group Share of Total template with group_col=\"feature_14\", item_col=\"feature_16\", and measure_col=\"feature_15\". CAST to REAL is included because the schema stores features as TEXT. LIMIT 15 applies the provided top_k binding."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_55adc71151b1e66e/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_55adc71151b1e66e/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_56730f90dda0c039/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_56730f90dda0c039/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9844f6772b9a1128dd795902e0d56f5e49bad6fe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_56730f90dda0c039/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9568, "bytes_utf8": 9568, "lines": 300, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 962, "bytes_utf8": 962, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14978, "cached_input_tokens": 12032, "output_tokens": 793, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_56730f90dda0c039/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_56730f90dda0c039/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..56d15f8247c57cf33fbdcecfc97464fe1b4f3063 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_56730f90dda0c039/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_56730f90dda0c039", + "api_calls": 0, + "input_tokens": 14978, + "cached_input_tokens": 12032, + "output_tokens": 793, + "total_tokens": 15771, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15356.34, + "sql_execution_elapsed_ms_total": 16.68, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_56730f90dda0c039/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_56730f90dda0c039/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_56730f90dda0c039/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..65172c14a0b1d003f8d04234c609d481cd0f889b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_56730f90dda0c039/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": "2026-05-19T15:57:09.738077+00:00", + "ended_at": "2026-05-19T15:57:25.094439+00:00", + "elapsed_ms": 15356.34, + "prompt_metrics": { + "chars": 9568, + "bytes_utf8": 9568, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1405, + "bytes_utf8": 1405, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 962, + "bytes_utf8": 962, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14978, + "cached_input_tokens": 12032, + "output_tokens": 793, + "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_a/n9/artifacts/v2q_n9_56730f90dda0c039/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_56730f90dda0c039/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..25788c19d250e4afe7c28934fca74b18bfbf6568 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_56730f90dda0c039/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=feature_7, measure_col=feature_12.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "feature_7", + "measure_col": "feature_12", + "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": 55.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_56730f90dda0c039/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_56730f90dda0c039/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..780f38d3395a5bbdb251ab25753c4ff20215488f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_56730f90dda0c039/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f4-900a-7af2-9bef-9e253a88feac"} +{"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 \\\"feature_7\\\" AS \\\"group_col\\\",\\n CAST(\\\"feature_12\\\" AS REAL) AS \\\"measure_value\\\",\\n CUME_DIST() OVER (\\n PARTITION BY \\\"feature_7\\\"\\n ORDER BY CAST(\\\"feature_12\\\" AS REAL)\\n ) AS \\\"cum_dist\\\"\\n FROM \\\"n9\\\"\\n WHERE \\\"feature_7\\\" IS NOT NULL\\n AND \\\"feature_12\\\" IS NOT NULL\\n),\\n\\\"percentile_points\\\" AS (\\n SELECT\\n \\\"group_col\\\",\\n MIN(\\\"measure_value\\\") AS \\\"percentile_measure\\\"\\n FROM \\\"ranked\\\"\\n WHERE \\\"cum_dist\\\" >= 0.9\\n GROUP BY \\\"group_col\\\"\\n)\\nSELECT\\n \\\"group_col\\\" AS \\\"feature_7\\\",\\n \\\"percentile_measure\\\"\\nFROM \\\"percentile_points\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite-compatible repair of the Grouped Percentile Point template using CUME_DIST() to approximate the 90th percentile as the smallest feature_12 value whose cumulative distribution within each feature_7 group reaches at least 0.9.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14978,"cached_input_tokens":12032,"output_tokens":793,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_56730f90dda0c039/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_56730f90dda0c039/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9aaf5f93e73d3e1e83f5a575c87bd3bdc05e4152 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_56730f90dda0c039/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n \"feature_7\" AS \"group_col\",\n CAST(\"feature_12\" AS REAL) AS \"measure_value\",\n CUME_DIST() OVER (\n PARTITION BY \"feature_7\"\n ORDER BY CAST(\"feature_12\" AS REAL)\n ) AS \"cum_dist\"\n FROM \"n9\"\n WHERE \"feature_7\" IS NOT NULL\n AND \"feature_12\" IS NOT NULL\n),\n\"percentile_points\" AS (\n SELECT\n \"group_col\",\n MIN(\"measure_value\") AS \"percentile_measure\"\n FROM \"ranked\"\n WHERE \"cum_dist\" >= 0.9\n GROUP BY \"group_col\"\n)\nSELECT\n \"group_col\" AS \"feature_7\",\n \"percentile_measure\"\nFROM \"percentile_points\"\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite-compatible repair of the Grouped Percentile Point template using CUME_DIST() to approximate the 90th percentile as the smallest feature_12 value whose cumulative distribution within each feature_7 group reaches at least 0.9."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_56730f90dda0c039/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_56730f90dda0c039/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5c5f89dd28c2e8ae/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5c5f89dd28c2e8ae/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a45ab9e4387c3dcaf6ba5e9d6a36adeef84517bd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5c5f89dd28c2e8ae/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9617, "bytes_utf8": 9617, "lines": 303, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 388, "bytes_utf8": 388, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14997, "cached_input_tokens": 12032, "output_tokens": 387, "reasoning_output_tokens": 276}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5c5f89dd28c2e8ae/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5c5f89dd28c2e8ae/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..13fbd7cb1343ec50d84dbb4be68146d37235a015 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5c5f89dd28c2e8ae/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_5c5f89dd28c2e8ae", + "api_calls": 0, + "input_tokens": 14997, + "cached_input_tokens": 12032, + "output_tokens": 387, + "total_tokens": 15384, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10853.89, + "sql_execution_elapsed_ms_total": 7.35, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5c5f89dd28c2e8ae/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5c5f89dd28c2e8ae/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5c5f89dd28c2e8ae/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c39d9c1a922e25141b116c3b9fdca99fb34cb6ff --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5c5f89dd28c2e8ae/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": "2026-05-19T16:03:24.676379+00:00", + "ended_at": "2026-05-19T16:03:35.530300+00:00", + "elapsed_ms": 10853.89, + "prompt_metrics": { + "chars": 9617, + "bytes_utf8": 9617, + "lines": 303, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 743, + "bytes_utf8": 743, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 388, + "bytes_utf8": 388, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14997, + "cached_input_tokens": 12032, + "output_tokens": 387, + "reasoning_output_tokens": 276 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5c5f89dd28c2e8ae/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5c5f89dd28c2e8ae/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..28353a74e79428cf8b2cde4ffc6bb2356e35368f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5c5f89dd28c2e8ae/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,303 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=feature_2, condition_col=class.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "feature_2", + "condition_col": "class", + "condition_value": "2", + "positive_value": "2", + "negative_value": "4", + "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": 64.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_5c5f89dd28c2e8ae/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5c5f89dd28c2e8ae/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..88d4bff6b0d1c8329f38ef10ca133c16f1992e1f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5c5f89dd28c2e8ae/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-4880-79d3-a5ff-da5ec49c2f70"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"feature_2\\\",\\n AVG(CASE WHEN \\\"class\\\" = '2' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_2\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Uses the planned Grouped Condition Rate template with \\\"feature_2\\\" as the grouping column and the rate of rows where \\\"class\\\" = '2' as the condition metric.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14997,"cached_input_tokens":12032,"output_tokens":387,"reasoning_output_tokens":276}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5c5f89dd28c2e8ae/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5c5f89dd28c2e8ae/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..99d900924a58dcdbbf9acccab3ea7156f318bb12 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5c5f89dd28c2e8ae/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"feature_2\",\n AVG(CASE WHEN \"class\" = '2' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"n9\"\nGROUP BY \"feature_2\"\nORDER BY condition_rate DESC;","notes":"Uses the planned Grouped Condition Rate template with \"feature_2\" as the grouping column and the rate of rows where \"class\" = '2' as the condition metric."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5c5f89dd28c2e8ae/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5c5f89dd28c2e8ae/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5e4de333ec1e3b54/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5e4de333ec1e3b54/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..fa0a04b4d5d77b76644a4b5d7871d9ef18b147a6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5e4de333ec1e3b54/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9572, "bytes_utf8": 9572, "lines": 300, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 1929, "bytes_utf8": 1929, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14978, "cached_input_tokens": 12032, "output_tokens": 4217, "reasoning_output_tokens": 3599}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5e4de333ec1e3b54/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5e4de333ec1e3b54/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..8da07c3776cd1cd768aa59cf3b3105a64d005cf4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5e4de333ec1e3b54/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_5e4de333ec1e3b54", + "api_calls": 0, + "input_tokens": 14978, + "cached_input_tokens": 12032, + "output_tokens": 4217, + "total_tokens": 19195, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 63206.54, + "sql_execution_elapsed_ms_total": 36.95, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5e4de333ec1e3b54/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5e4de333ec1e3b54/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5e4de333ec1e3b54/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..49841c9db612f728bbea24262d773b3fe18aa66a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5e4de333ec1e3b54/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:59:55.166141+00:00", + "ended_at": "2026-05-19T16:00:58.372707+00:00", + "elapsed_ms": 63206.54, + "prompt_metrics": { + "chars": 9572, + "bytes_utf8": 9572, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2592, + "bytes_utf8": 2592, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 1929, + "bytes_utf8": 1929, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14978, + "cached_input_tokens": 12032, + "output_tokens": 4217, + "reasoning_output_tokens": 3599 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5e4de333ec1e3b54/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5e4de333ec1e3b54/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6e7346940c0429f09d3cb88464c8d02d06b23e9c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5e4de333ec1e3b54/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=feature_9, measure_col=feature_14.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "feature_9", + "measure_col": "feature_14", + "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": 36.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_5e4de333ec1e3b54/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5e4de333ec1e3b54/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f5ffd96ca403484e718827f2ada60b0f5e403d67 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5e4de333ec1e3b54/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f7-1622-7af1-86f7-3f389302931f"} +{"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 \\\"feature_9\\\",\\n CAST(\\\"feature_14\\\" AS REAL) AS \\\"measure\\\"\\n FROM \\\"n9\\\"\\n WHERE \\\"feature_9\\\" IS NOT NULL\\n AND \\\"feature_14\\\" IS NOT NULL\\n),\\n\\\"ranked\\\" AS (\\n SELECT\\n \\\"feature_9\\\",\\n \\\"measure\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"feature_9\\\"\\n ORDER BY \\\"measure\\\"\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"feature_9\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"base\\\"\\n),\\n\\\"targets\\\" AS (\\n SELECT DISTINCT\\n \\\"feature_9\\\",\\n \\\"cnt\\\",\\n 1.0 + (0.95 * (\\\"cnt\\\" - 1)) AS \\\"pos\\\"\\n FROM \\\"ranked\\\"\\n),\\n\\\"positions\\\" AS (\\n SELECT\\n \\\"feature_9\\\",\\n \\\"pos\\\",\\n CAST(\\\"pos\\\" AS INTEGER) AS \\\"lower_rn\\\",\\n CASE\\n WHEN ABS(\\\"pos\\\" - CAST(\\\"pos\\\" AS INTEGER)) < 1e-12 THEN CAST(\\\"pos\\\" AS INTEGER)\\n ELSE CAST(\\\"pos\\\" AS INTEGER) + 1\\n END AS \\\"upper_rn\\\"\\n FROM \\\"targets\\\"\\n),\\n\\\"bounds\\\" AS (\\n SELECT\\n p.\\\"feature_9\\\",\\n p.\\\"pos\\\",\\n p.\\\"lower_rn\\\",\\n p.\\\"upper_rn\\\",\\n lr.\\\"measure\\\" AS \\\"lower_measure\\\",\\n ur.\\\"measure\\\" AS \\\"upper_measure\\\"\\n FROM \\\"positions\\\" AS p\\n JOIN \\\"ranked\\\" AS lr\\n ON lr.\\\"feature_9\\\" = p.\\\"feature_9\\\"\\n AND lr.\\\"rn\\\" = p.\\\"lower_rn\\\"\\n JOIN \\\"ranked\\\" AS ur\\n ON ur.\\\"feature_9\\\" = p.\\\"feature_9\\\"\\n AND ur.\\\"rn\\\" = p.\\\"upper_rn\\\"\\n)\\nSELECT\\n \\\"feature_9\\\",\\n CASE\\n WHEN \\\"lower_rn\\\" = \\\"upper_rn\\\" THEN \\\"lower_measure\\\"\\n ELSE \\\"lower_measure\\\" + ((\\\"pos\\\" - \\\"lower_rn\\\") * (\\\"upper_measure\\\" - \\\"lower_measure\\\"))\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"bounds\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this emulates the grouped 95th percentile for \\\"feature_14\\\" within each \\\"feature_9\\\" group using window functions and linear interpolation. \\\"feature_14\\\" is cast from TEXT to REAL for numeric percentile calculation.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14978,"cached_input_tokens":12032,"output_tokens":4217,"reasoning_output_tokens":3599}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5e4de333ec1e3b54/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5e4de333ec1e3b54/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9c78e69837aabe2c8bab529ed731521c5fb88973 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5e4de333ec1e3b54/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"base\" AS (\n SELECT\n \"feature_9\",\n CAST(\"feature_14\" AS REAL) AS \"measure\"\n FROM \"n9\"\n WHERE \"feature_9\" IS NOT NULL\n AND \"feature_14\" IS NOT NULL\n),\n\"ranked\" AS (\n SELECT\n \"feature_9\",\n \"measure\",\n ROW_NUMBER() OVER (\n PARTITION BY \"feature_9\"\n ORDER BY \"measure\"\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"feature_9\"\n ) AS \"cnt\"\n FROM \"base\"\n),\n\"targets\" AS (\n SELECT DISTINCT\n \"feature_9\",\n \"cnt\",\n 1.0 + (0.95 * (\"cnt\" - 1)) AS \"pos\"\n FROM \"ranked\"\n),\n\"positions\" AS (\n SELECT\n \"feature_9\",\n \"pos\",\n CAST(\"pos\" AS INTEGER) AS \"lower_rn\",\n CASE\n WHEN ABS(\"pos\" - CAST(\"pos\" AS INTEGER)) < 1e-12 THEN CAST(\"pos\" AS INTEGER)\n ELSE CAST(\"pos\" AS INTEGER) + 1\n END AS \"upper_rn\"\n FROM \"targets\"\n),\n\"bounds\" AS (\n SELECT\n p.\"feature_9\",\n p.\"pos\",\n p.\"lower_rn\",\n p.\"upper_rn\",\n lr.\"measure\" AS \"lower_measure\",\n ur.\"measure\" AS \"upper_measure\"\n FROM \"positions\" AS p\n JOIN \"ranked\" AS lr\n ON lr.\"feature_9\" = p.\"feature_9\"\n AND lr.\"rn\" = p.\"lower_rn\"\n JOIN \"ranked\" AS ur\n ON ur.\"feature_9\" = p.\"feature_9\"\n AND ur.\"rn\" = p.\"upper_rn\"\n)\nSELECT\n \"feature_9\",\n CASE\n WHEN \"lower_rn\" = \"upper_rn\" THEN \"lower_measure\"\n ELSE \"lower_measure\" + ((\"pos\" - \"lower_rn\") * (\"upper_measure\" - \"lower_measure\"))\n END AS \"percentile_measure\"\nFROM \"bounds\"\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite does not support PERCENTILE_CONT, so this emulates the grouped 95th percentile for \"feature_14\" within each \"feature_9\" group using window functions and linear interpolation. \"feature_14\" is cast from TEXT to REAL for numeric percentile calculation."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5e4de333ec1e3b54/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5e4de333ec1e3b54/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5e876f335ec08f66/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5e876f335ec08f66/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..89681fcdecd2e77d4fc18ae95579afbd368c6c06 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5e876f335ec08f66/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,303 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=feature_13, condition_col=class.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "feature_13", + "condition_col": "class", + "condition_value": "4", + "positive_value": "2", + "negative_value": "4", + "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": 100.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_5e876f335ec08f66/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5e876f335ec08f66/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..89681fcdecd2e77d4fc18ae95579afbd368c6c06 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5e876f335ec08f66/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,303 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=feature_13, condition_col=class.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "feature_13", + "condition_col": "class", + "condition_value": "4", + "positive_value": "2", + "negative_value": "4", + "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": 100.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_5e876f335ec08f66/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5e876f335ec08f66/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..2d37494eadd493cd8bf5062a2dffe1f263e1eaf5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5e876f335ec08f66/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-818a-7b33-af6e-761e60de7557"} +{"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_a/n9/artifacts/v2q_n9_5e876f335ec08f66/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5e876f335ec08f66/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..68a36d22033cd4fec32fa7900179ab7b49a366ed --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5e876f335ec08f66/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-92cc-73d2-9623-a40a307c4ceb"} +{"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_a/n9/artifacts/v2q_n9_5e876f335ec08f66/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5e876f335ec08f66/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6143539db4c6b126/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6143539db4c6b126/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ecb73e2fb8b6f2c43c0fd8a27ed8c6777bfd3f0e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6143539db4c6b126/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9325, "bytes_utf8": 9325, "lines": 298, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "status": "failed", "error": "AI CLI command failed with exit code 1: "} +{"attempt": 2, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_2.txt", "metrics": {"chars": 9325, "bytes_utf8": 9325, "lines": 298, "estimated_tokens": null}} +{"attempt": 2, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_2.txt", "raw_content_path": "cli/sql_response_attempt_2.raw.txt", "stderr_path": "cli/sql_stderr_attempt_2.txt", "metrics": {"chars": 377, "bytes_utf8": 377, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14927, "cached_input_tokens": 13696, "output_tokens": 232, "reasoning_output_tokens": 122}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6143539db4c6b126/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6143539db4c6b126/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..cc03e479435e0d3d5fd3bcc1373e5a400aedb2e3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6143539db4c6b126/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_6143539db4c6b126", + "api_calls": 0, + "input_tokens": 14927, + "cached_input_tokens": 13696, + "output_tokens": 232, + "total_tokens": 15159, + "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": 10635.02, + "sql_execution_elapsed_ms_total": 1.87, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6143539db4c6b126/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6143539db4c6b126/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6143539db4c6b126/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..dd23a2c7d4c2ad2b71fd60cef6c9c581a7a1325d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6143539db4c6b126/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:03:51.920568+00:00", + "ended_at": "2026-05-19T16:03:55.039260+00:00", + "elapsed_ms": 3118.66, + "returncode": 1, + "prompt_metrics": { + "chars": 9325, + "bytes_utf8": 9325, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6143539db4c6b126/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6143539db4c6b126/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..950ce9ab49decde3f870188e0745de6402b83f32 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6143539db4c6b126/cli/sql_attempt_2.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:03:56.041213+00:00", + "ended_at": "2026-05-19T16:04:03.557607+00:00", + "elapsed_ms": 7516.36, + "prompt_metrics": { + "chars": 9325, + "bytes_utf8": 9325, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 721, + "bytes_utf8": 721, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 377, + "bytes_utf8": 377, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14927, + "cached_input_tokens": 13696, + "output_tokens": 232, + "reasoning_output_tokens": 122 + } + }, + "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_a/n9/artifacts/v2q_n9_6143539db4c6b126/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6143539db4c6b126/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6a110cb0ec217d3c015eaf1b0bfb73db82d00ac3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6143539db4c6b126/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=feature_14.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "feature_14", + "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": 47.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT 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_a/n9/artifacts/v2q_n9_6143539db4c6b126/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6143539db4c6b126/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..6a110cb0ec217d3c015eaf1b0bfb73db82d00ac3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6143539db4c6b126/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=feature_14.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "feature_14", + "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": 47.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT 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_a/n9/artifacts/v2q_n9_6143539db4c6b126/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6143539db4c6b126/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e95a13d9ac5fd322232840c125a333eca4b7351c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6143539db4c6b126/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-b2f8-7c71-b875-d8f5b0547363"} +{"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_a/n9/artifacts/v2q_n9_6143539db4c6b126/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6143539db4c6b126/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8ee38ef24c365ee23421be2b2b80c4b877ff1a94 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6143539db4c6b126/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-b2f8-7c71-b875-d8f5b0547363"} +{"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_a/n9/artifacts/v2q_n9_6143539db4c6b126/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6143539db4c6b126/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e62443e1b6441aa8d1979bbfbf60514c017f8487 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6143539db4c6b126/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-c309-75c0-b39d-5bec6b4b0fbf"} +{"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(\\\"feature_14\\\" AS REAL) <= 47.0 THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\\nFROM \\\"n9\\\";\",\"notes\":\"Applied the Threshold Rarity CDF template with measure_col bound to \\\"feature_14\\\" and measure_threshold fixed at 47.0. Casted \\\"feature_14\\\" to REAL because the SQLite schema stores it as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14927,"cached_input_tokens":13696,"output_tokens":232,"reasoning_output_tokens":122}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6143539db4c6b126/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6143539db4c6b126/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e54ca0db52b3867199a5bc1a8f4b3d5334184f0d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6143539db4c6b126/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_threshold_rarity_cdf\nSELECT AVG(CASE WHEN CAST(\"feature_14\" AS REAL) <= 47.0 THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM \"n9\";","notes":"Applied the Threshold Rarity CDF template with measure_col bound to \"feature_14\" and measure_threshold fixed at 47.0. Casted \"feature_14\" to REAL because the SQLite schema stores it as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6143539db4c6b126/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6143539db4c6b126/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6143539db4c6b126/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6143539db4c6b126/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_62fea1f2a060f22d/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_62fea1f2a060f22d/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..dcf495f8d841241c3230db4b9216eab134765420 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_62fea1f2a060f22d/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9946, "bytes_utf8": 9946, "lines": 300, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 693, "bytes_utf8": 693, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15078, "cached_input_tokens": 12032, "output_tokens": 661, "reasoning_output_tokens": 460}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_62fea1f2a060f22d/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_62fea1f2a060f22d/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..271a9796d65572fbd1f313af91beafd122ba5cfd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_62fea1f2a060f22d/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_62fea1f2a060f22d", + "api_calls": 0, + "input_tokens": 15078, + "cached_input_tokens": 12032, + "output_tokens": 661, + "total_tokens": 15739, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13640.63, + "sql_execution_elapsed_ms_total": 7.56, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_62fea1f2a060f22d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_62fea1f2a060f22d/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_62fea1f2a060f22d/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..705237ad247890109647ebe7f599267d54b0bf22 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_62fea1f2a060f22d/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": "2026-05-19T15:46:25.318164+00:00", + "ended_at": "2026-05-19T15:46:38.958838+00:00", + "elapsed_ms": 13640.63, + "prompt_metrics": { + "chars": 9946, + "bytes_utf8": 9946, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1108, + "bytes_utf8": 1108, + "lines": 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": 15078, + "cached_input_tokens": 12032, + "output_tokens": 661, + "reasoning_output_tokens": 460 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_62fea1f2a060f22d/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_62fea1f2a060f22d/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ee536ba269969631d1863866661ed6d18d923146 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_62fea1f2a060f22d/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=feature_5, measure_col=feature_9.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "feature_5", + "measure_col": "feature_9", + "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": 80.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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_a/n9/artifacts/v2q_n9_62fea1f2a060f22d/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_62fea1f2a060f22d/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a7ec93b8dd9bcf76195d1442f00394f85bfad930 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_62fea1f2a060f22d/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ea-bab1-76a3-8009-61146921588c"} +{"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 \\\"feature_5\\\", SUM(CAST(\\\"feature_9\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"n9\\\"\\n GROUP BY \\\"feature_5\\\"\\n), \\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT g.\\\"feature_5\\\", 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=\\\"feature_5\\\" and measure_col=\\\"feature_9\\\". CAST to REAL is included because the schema stores numeric fields as TEXT in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15078,"cached_input_tokens":12032,"output_tokens":661,"reasoning_output_tokens":460}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_62fea1f2a060f22d/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_62fea1f2a060f22d/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e2f5c60c1e74976b03ec366a033a34189ba3d940 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_62fea1f2a060f22d/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH \"grouped\" AS (\n SELECT \"feature_5\", SUM(CAST(\"feature_9\" AS REAL)) AS \"group_value\"\n FROM \"n9\"\n GROUP BY \"feature_5\"\n), \"total\" AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM \"grouped\"\n)\nSELECT g.\"feature_5\", 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=\"feature_5\" and measure_col=\"feature_9\". 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_a/n9/artifacts/v2q_n9_62fea1f2a060f22d/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_62fea1f2a060f22d/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_64a2d4d4dcbbab9b/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_64a2d4d4dcbbab9b/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f0dba9574a2a301d8d3e03bd3ebdf148c8ccc1f6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_64a2d4d4dcbbab9b/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9566, "bytes_utf8": 9566, "lines": 300, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 929, "bytes_utf8": 929, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14978, "cached_input_tokens": 13696, "output_tokens": 1370, "reasoning_output_tokens": 1090}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_64a2d4d4dcbbab9b/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_64a2d4d4dcbbab9b/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..7990c42fb863190b85c9eb9b4346d483a380ee2d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_64a2d4d4dcbbab9b/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_64a2d4d4dcbbab9b", + "api_calls": 0, + "input_tokens": 14978, + "cached_input_tokens": 13696, + "output_tokens": 1370, + "total_tokens": 16348, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 23495.25, + "sql_execution_elapsed_ms_total": 27.91, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_64a2d4d4dcbbab9b/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_64a2d4d4dcbbab9b/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_64a2d4d4dcbbab9b/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ae05d61d23999ae789fdd78fb4acb758de0db553 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_64a2d4d4dcbbab9b/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": "2026-05-19T15:51:28.746574+00:00", + "ended_at": "2026-05-19T15:51:52.241851+00:00", + "elapsed_ms": 23495.25, + "prompt_metrics": { + "chars": 9566, + "bytes_utf8": 9566, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1378, + "bytes_utf8": 1378, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 929, + "bytes_utf8": 929, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14978, + "cached_input_tokens": 13696, + "output_tokens": 1370, + "reasoning_output_tokens": 1090 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_64a2d4d4dcbbab9b/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_64a2d4d4dcbbab9b/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9afbbbae008ca3b6ae6c68ef76ed538c6604b1f8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_64a2d4d4dcbbab9b/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=feature_1, measure_col=feature_6.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "feature_1", + "measure_col": "feature_6", + "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": 86.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_64a2d4d4dcbbab9b/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_64a2d4d4dcbbab9b/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..523cf9630b846a040917602f7c6f5095d1eab1b8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_64a2d4d4dcbbab9b/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ef-5c1c-7fe1-85ed-96d1889329f6"} +{"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 \\\"feature_1\\\",\\n CAST(\\\"feature_6\\\" AS REAL) AS \\\"measure_value\\\",\\n CUME_DIST() OVER (\\n PARTITION BY \\\"feature_1\\\"\\n ORDER BY CAST(\\\"feature_6\\\" AS REAL)\\n ) AS \\\"cume_dist_value\\\"\\n FROM \\\"n9\\\"\\n WHERE \\\"feature_1\\\" IS NOT NULL\\n AND \\\"feature_6\\\" IS NOT NULL\\n),\\n\\\"percentiles\\\" AS (\\n SELECT\\n \\\"feature_1\\\",\\n MIN(\\\"measure_value\\\") AS \\\"percentile_measure\\\"\\n FROM \\\"ranked\\\"\\n WHERE \\\"cume_dist_value\\\" >= 0.9\\n GROUP BY \\\"feature_1\\\"\\n)\\nSELECT\\n \\\"feature_1\\\",\\n \\\"percentile_measure\\\"\\nFROM \\\"percentiles\\\"\\nORDER BY \\\"percentile_measure\\\" DESC, \\\"feature_1\\\";\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this query uses CUME_DIST() to approximate the grouped 90th percentile point for \\\"feature_6\\\" within each \\\"feature_1\\\" group, casting the TEXT measure column to REAL first.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14978,"cached_input_tokens":13696,"output_tokens":1370,"reasoning_output_tokens":1090}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_64a2d4d4dcbbab9b/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_64a2d4d4dcbbab9b/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f898dd510444529de8366884b9b933da7c87d49b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_64a2d4d4dcbbab9b/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n \"feature_1\",\n CAST(\"feature_6\" AS REAL) AS \"measure_value\",\n CUME_DIST() OVER (\n PARTITION BY \"feature_1\"\n ORDER BY CAST(\"feature_6\" AS REAL)\n ) AS \"cume_dist_value\"\n FROM \"n9\"\n WHERE \"feature_1\" IS NOT NULL\n AND \"feature_6\" IS NOT NULL\n),\n\"percentiles\" AS (\n SELECT\n \"feature_1\",\n MIN(\"measure_value\") AS \"percentile_measure\"\n FROM \"ranked\"\n WHERE \"cume_dist_value\" >= 0.9\n GROUP BY \"feature_1\"\n)\nSELECT\n \"feature_1\",\n \"percentile_measure\"\nFROM \"percentiles\"\nORDER BY \"percentile_measure\" DESC, \"feature_1\";","notes":"SQLite does not support PERCENTILE_CONT, so this query uses CUME_DIST() to approximate the grouped 90th percentile point for \"feature_6\" within each \"feature_1\" group, casting the TEXT measure column to REAL first."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_64a2d4d4dcbbab9b/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_64a2d4d4dcbbab9b/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_64b9f2eb7d353f2e/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_64b9f2eb7d353f2e/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..466a3b25c081ff7819fca6c3705fe711a56311e4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_64b9f2eb7d353f2e/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9702, "bytes_utf8": 9702, "lines": 304, "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": 478, "bytes_utf8": 478, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15036, "cached_input_tokens": 13696, "output_tokens": 528, "reasoning_output_tokens": 385}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_64b9f2eb7d353f2e/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_64b9f2eb7d353f2e/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..162128db99251c7c7d839c907bcf81c0b8278b9f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_64b9f2eb7d353f2e/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_64b9f2eb7d353f2e", + "api_calls": 0, + "input_tokens": 15036, + "cached_input_tokens": 13696, + "output_tokens": 528, + "total_tokens": 15564, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11797.77, + "sql_execution_elapsed_ms_total": 4.08, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_64b9f2eb7d353f2e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_64b9f2eb7d353f2e/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_64b9f2eb7d353f2e/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..415aefb68782ffa087b5b336ea6178651191ecb5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_64b9f2eb7d353f2e/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": "2026-05-19T15:42:33.033466+00:00", + "ended_at": "2026-05-19T15:42:44.831264+00:00", + "elapsed_ms": 11797.77, + "prompt_metrics": { + "chars": 9702, + "bytes_utf8": 9702, + "lines": 304, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 857, + "bytes_utf8": 857, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 478, + "bytes_utf8": 478, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15036, + "cached_input_tokens": 13696, + "output_tokens": 528, + "reasoning_output_tokens": 385 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_64b9f2eb7d353f2e/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_64b9f2eb7d353f2e/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..36ced64bc46505da236bfb66d293d303bc678b88 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_64b9f2eb7d353f2e/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,304 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_c2_filtered_group_count_2d", + "template_name": "Filtered Two-Dimensional Group Count", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;", + "required_roles": [ + "group_col", + "group_col_2", + "predicate_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "n9", + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=feature_4, group_col_2=feature_13.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "feature_4", + "group_col_2": "feature_13", + "predicate_col": "feature_3", + "predicate_op": ">=", + "predicate_value": 58.0, + "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": 86.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_64b9f2eb7d353f2e/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_64b9f2eb7d353f2e/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c5c74d549c4fbdee859f95267a1cca46d3776895 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_64b9f2eb7d353f2e/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e7-2f57-70b2-9304-83024addf1cb"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"feature_4\\\", \\\"feature_13\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"n9\\\"\\nWHERE CAST(\\\"feature_3\\\" AS REAL) >= 58.0\\nGROUP BY \\\"feature_4\\\", \\\"feature_13\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Used the provided template with group columns bound to \\\"feature_4\\\" and \\\"feature_13\\\" and predicate bound to \\\"feature_3\\\" >= 58.0. Casted \\\"feature_3\\\" to REAL because the SQLite schema stores feature columns as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15036,"cached_input_tokens":13696,"output_tokens":528,"reasoning_output_tokens":385}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_64b9f2eb7d353f2e/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_64b9f2eb7d353f2e/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b225dd9ff253c60e4129d0d46947b36efd9bfe36 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_64b9f2eb7d353f2e/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"feature_4\", \"feature_13\", COUNT(*) AS \"row_count\"\nFROM \"n9\"\nWHERE CAST(\"feature_3\" AS REAL) >= 58.0\nGROUP BY \"feature_4\", \"feature_13\"\nORDER BY \"row_count\" DESC;","notes":"Used the provided template with group columns bound to \"feature_4\" and \"feature_13\" and predicate bound to \"feature_3\" >= 58.0. Casted \"feature_3\" to REAL because the SQLite schema stores feature columns as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_64b9f2eb7d353f2e/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_64b9f2eb7d353f2e/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_680b9d5a4e96dced/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_680b9d5a4e96dced/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..91f6800e69f38f622fae9891e4f318e3f2659496 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_680b9d5a4e96dced/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": "2026-05-19T16:10:08.634115+00:00", + "ended_at": "2026-05-19T16:10:11.789470+00:00", + "elapsed_ms": 3155.33, + "returncode": 1, + "prompt_metrics": { + "chars": 9476, + "bytes_utf8": 9476, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_680b9d5a4e96dced/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_680b9d5a4e96dced/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..71b98ef436382f04640e5cfcebfd0a16fc23ecf2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_680b9d5a4e96dced/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": "2026-05-19T16:10:12.791622+00:00", + "ended_at": "2026-05-19T16:10:15.710612+00:00", + "elapsed_ms": 2918.96, + "returncode": 1, + "prompt_metrics": { + "chars": 9476, + "bytes_utf8": 9476, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_680b9d5a4e96dced/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_680b9d5a4e96dced/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..41572fd189ca71336d44dabe2bc39262939ea478 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_680b9d5a4e96dced/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=feature_5, measure_col=feature_13.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "feature_5", + "measure_col": "feature_13", + "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": 61.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_680b9d5a4e96dced/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_680b9d5a4e96dced/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..41572fd189ca71336d44dabe2bc39262939ea478 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_680b9d5a4e96dced/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=feature_5, measure_col=feature_13.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "feature_5", + "measure_col": "feature_13", + "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": 61.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_680b9d5a4e96dced/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_680b9d5a4e96dced/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..79b84129d76fd4c44e24eff80cad5e3c24b91610 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_680b9d5a4e96dced/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-7297-7933-ba02-8c878fea3ad8"} +{"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_a/n9/artifacts/v2q_n9_680b9d5a4e96dced/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_680b9d5a4e96dced/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2349037414cc9c484bc85094e6d79fb7efdb6f7a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_680b9d5a4e96dced/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-7297-7933-ba02-8c878fea3ad8"} +{"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_a/n9/artifacts/v2q_n9_680b9d5a4e96dced/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_680b9d5a4e96dced/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f9f3273ce3231cdc93ac213d6ca3859db5fed4d7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_680b9d5a4e96dced/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-82b6-7792-b23c-6c1940c03d0f"} +{"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_a/n9/artifacts/v2q_n9_680b9d5a4e96dced/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_680b9d5a4e96dced/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..bb85cdb5032968138da9fea4471a26417afb8ef5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_680b9d5a4e96dced/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-82b6-7792-b23c-6c1940c03d0f"} +{"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_a/n9/artifacts/v2q_n9_680b9d5a4e96dced/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_680b9d5a4e96dced/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_680b9d5a4e96dced/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_680b9d5a4e96dced/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_696a52af23046b64/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_696a52af23046b64/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d5002c18b2846fe550aad86e23faf9b37c2da09d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_696a52af23046b64/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:06:05.593758+00:00", + "ended_at": "2026-05-19T16:06:10.847366+00:00", + "elapsed_ms": 5253.58, + "returncode": 1, + "prompt_metrics": { + "chars": 9376, + "bytes_utf8": 9376, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_696a52af23046b64/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_696a52af23046b64/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6a9d9d0f8da3ddd5b5c73bc653e5d5f80b2264b3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_696a52af23046b64/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:06:11.849301+00:00", + "ended_at": "2026-05-19T16:06:14.749111+00:00", + "elapsed_ms": 2899.77, + "returncode": 1, + "prompt_metrics": { + "chars": 9376, + "bytes_utf8": 9376, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_696a52af23046b64/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_696a52af23046b64/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3249cbc3d5ab0016cd9bd35700c0bf0255138d7e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_696a52af23046b64/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=feature_5.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "feature_5", + "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": 55.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_696a52af23046b64/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_696a52af23046b64/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..3249cbc3d5ab0016cd9bd35700c0bf0255138d7e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_696a52af23046b64/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=feature_5.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "feature_5", + "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": 55.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_696a52af23046b64/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_696a52af23046b64/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c32b718b1583b946e72cd7ef54c175d292f82971 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_696a52af23046b64/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-bd0d-78f3-9b9d-6ef21573c861"} +{"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_a/n9/artifacts/v2q_n9_696a52af23046b64/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_696a52af23046b64/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..37a8896a2b4c15687ca24b30eb39f439b64dd2e5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_696a52af23046b64/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-bd0d-78f3-9b9d-6ef21573c861"} +{"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_a/n9/artifacts/v2q_n9_696a52af23046b64/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_696a52af23046b64/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6925cbd1d416e165c3d7141ca057f21743c719de --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_696a52af23046b64/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-d5aa-7d31-b941-1a84ecf29f34"} +{"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_a/n9/artifacts/v2q_n9_696a52af23046b64/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_696a52af23046b64/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..302573e21031972ec04550111a5fbeacd9563369 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_696a52af23046b64/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-d5aa-7d31-b941-1a84ecf29f34"} +{"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_a/n9/artifacts/v2q_n9_696a52af23046b64/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_696a52af23046b64/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_696a52af23046b64/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_696a52af23046b64/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_696c5d29dead1190/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_696c5d29dead1190/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0c5e4f2f20c0b815054680b738769c9d3ba0d7c9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_696c5d29dead1190/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9560, "bytes_utf8": 9560, "lines": 300, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 1823, "bytes_utf8": 1823, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14974, "cached_input_tokens": 13696, "output_tokens": 2128, "reasoning_output_tokens": 1520}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_696c5d29dead1190/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_696c5d29dead1190/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..53bd9f07f35b139b0df19ffbf193db6c0cf0269e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_696c5d29dead1190/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_696c5d29dead1190", + "api_calls": 0, + "input_tokens": 14974, + "cached_input_tokens": 13696, + "output_tokens": 2128, + "total_tokens": 17102, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 32017.02, + "sql_execution_elapsed_ms_total": 36.77, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_696c5d29dead1190/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_696c5d29dead1190/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_696c5d29dead1190/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4371842102af59c22eaf1d470eb3d5f2becd685e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_696c5d29dead1190/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": "2026-05-19T15:50:56.688172+00:00", + "ended_at": "2026-05-19T15:51:28.705224+00:00", + "elapsed_ms": 32017.02, + "prompt_metrics": { + "chars": 9560, + "bytes_utf8": 9560, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2435, + "bytes_utf8": 2435, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 1823, + "bytes_utf8": 1823, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14974, + "cached_input_tokens": 13696, + "output_tokens": 2128, + "reasoning_output_tokens": 1520 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_696c5d29dead1190/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_696c5d29dead1190/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..75c03244d236c5ee9ccd10e4d7e1e1b8fb9dff5f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_696c5d29dead1190/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=class, measure_col=feature_5.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "class", + "measure_col": "feature_5", + "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": 69.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_696c5d29dead1190/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_696c5d29dead1190/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..454dd680266be1c102e3f13ce5ee30a5ef15a529 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_696c5d29dead1190/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ee-deb8-7540-8d99-c3eba38b7377"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"__ordered\\\" AS (\\n SELECT\\n \\\"class\\\",\\n CAST(\\\"feature_5\\\" AS REAL) AS \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"class\\\"\\n ORDER BY CAST(\\\"feature_5\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"class\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"n9\\\"\\n WHERE \\\"class\\\" IS NOT NULL\\n AND \\\"feature_5\\\" IS NOT NULL\\n),\\n\\\"__positions\\\" AS (\\n SELECT\\n \\\"class\\\",\\n \\\"measure_value\\\",\\n \\\"rn\\\",\\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 \\\"__ordered\\\"\\n),\\n\\\"__aggregated\\\" AS (\\n SELECT\\n \\\"class\\\",\\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 \\\"measure_value\\\" END) AS \\\"lower_value\\\",\\n MAX(CASE WHEN \\\"rn\\\" = \\\"upper_rn\\\" THEN \\\"measure_value\\\" END) AS \\\"upper_value\\\"\\n FROM \\\"__positions\\\"\\n GROUP BY \\\"class\\\"\\n)\\nSELECT\\n \\\"class\\\",\\n CASE\\n WHEN \\\"lower_rn\\\" = \\\"upper_rn\\\" THEN \\\"lower_value\\\"\\n ELSE \\\"lower_value\\\" + (\\\"pos\\\" - \\\"lower_rn\\\") * (\\\"upper_value\\\" - \\\"lower_value\\\")\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"__aggregated\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this query emulates the continuous 90th percentile of \\\"feature_5\\\" within each \\\"class\\\" group using window functions and linear interpolation. \\\"feature_5\\\" is cast from TEXT to REAL before ranking.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14974,"cached_input_tokens":13696,"output_tokens":2128,"reasoning_output_tokens":1520}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_696c5d29dead1190/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_696c5d29dead1190/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..94c6aa3a812e8e018f96e2a8224caeebd0056aed --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_696c5d29dead1190/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"__ordered\" AS (\n SELECT\n \"class\",\n CAST(\"feature_5\" AS REAL) AS \"measure_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"class\"\n ORDER BY CAST(\"feature_5\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"class\"\n ) AS \"cnt\"\n FROM \"n9\"\n WHERE \"class\" IS NOT NULL\n AND \"feature_5\" IS NOT NULL\n),\n\"__positions\" AS (\n SELECT\n \"class\",\n \"measure_value\",\n \"rn\",\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 \"__ordered\"\n),\n\"__aggregated\" AS (\n SELECT\n \"class\",\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 \"measure_value\" END) AS \"lower_value\",\n MAX(CASE WHEN \"rn\" = \"upper_rn\" THEN \"measure_value\" END) AS \"upper_value\"\n FROM \"__positions\"\n GROUP BY \"class\"\n)\nSELECT\n \"class\",\n CASE\n WHEN \"lower_rn\" = \"upper_rn\" THEN \"lower_value\"\n ELSE \"lower_value\" + (\"pos\" - \"lower_rn\") * (\"upper_value\" - \"lower_value\")\n END AS \"percentile_measure\"\nFROM \"__aggregated\"\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite does not support PERCENTILE_CONT, so this query emulates the continuous 90th percentile of \"feature_5\" within each \"class\" group using window functions and linear interpolation. \"feature_5\" is cast from TEXT to REAL before ranking."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_696c5d29dead1190/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_696c5d29dead1190/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_698d9795e0779fe2/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_698d9795e0779fe2/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..149ac7a001c97f0a298f0ba2f9429c07815658f1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_698d9795e0779fe2/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10187, "bytes_utf8": 10187, "lines": 303, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 650, "bytes_utf8": 650, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15145, "cached_input_tokens": 0, "output_tokens": 610, "reasoning_output_tokens": 426}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_698d9795e0779fe2/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_698d9795e0779fe2/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..4c17aaaf23403261d3b07e9a7d4558a7422a5223 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_698d9795e0779fe2/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_698d9795e0779fe2", + "api_calls": 0, + "input_tokens": 15145, + "cached_input_tokens": 0, + "output_tokens": 610, + "total_tokens": 15755, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11667.39, + "sql_execution_elapsed_ms_total": 9.3, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_698d9795e0779fe2/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_698d9795e0779fe2/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_698d9795e0779fe2/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..120a4fa1cf942ddd2bd7e109853e82fe50cadd16 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_698d9795e0779fe2/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:40:01.903563+00:00", + "ended_at": "2026-05-19T15:40:13.570983+00:00", + "elapsed_ms": 11667.39, + "prompt_metrics": { + "chars": 10187, + "bytes_utf8": 10187, + "lines": 303, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1019, + "bytes_utf8": 1019, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 650, + "bytes_utf8": 650, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15145, + "cached_input_tokens": 0, + "output_tokens": 610, + "reasoning_output_tokens": 426 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_698d9795e0779fe2/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_698d9795e0779fe2/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a0a871b2228f995b534172ad11d1b65a59e4bbfc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_698d9795e0779fe2/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,303 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=feature_5, condition_col=class.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "feature_5", + "condition_col": "class", + "condition_value": "2", + "positive_value": "2", + "negative_value": "4", + "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": 74.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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_a/n9/artifacts/v2q_n9_698d9795e0779fe2/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_698d9795e0779fe2/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e51fcef32173a116bbcc3a46259419dbd6341aab --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_698d9795e0779fe2/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e4-e0fd-7ec3-9fb5-39197cbefcf1"} +{"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 \\\"feature_5\\\",\\n SUM(CASE WHEN \\\"class\\\" = '2' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"class\\\" = '4' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"n9\\\"\\n GROUP BY \\\"feature_5\\\"\\n)\\nSELECT \\\"feature_5\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Applies the requested grouped ratio template with \\\"feature_5\\\" as the grouping field and computes the ratio of rows where \\\"class\\\"='2' to rows where \\\"class\\\"='4'.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15145,"cached_input_tokens":0,"output_tokens":610,"reasoning_output_tokens":426}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_698d9795e0779fe2/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_698d9795e0779fe2/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..54c141592ef75013aec2edbee24a0ecfd9998d85 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_698d9795e0779fe2/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT \"feature_5\",\n SUM(CASE WHEN \"class\" = '2' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"class\" = '4' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"n9\"\n GROUP BY \"feature_5\"\n)\nSELECT \"feature_5\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;","notes":"Applies the requested grouped ratio template with \"feature_5\" as the grouping field and computes the ratio of rows where \"class\"='2' to rows where \"class\"='4'."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_698d9795e0779fe2/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_698d9795e0779fe2/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6b244ee546038269/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6b244ee546038269/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..79a0ed285ca4cbea7cb4e002a7a7c8c033fa65bd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6b244ee546038269/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9561, "bytes_utf8": 9561, "lines": 298, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 551, "bytes_utf8": 551, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14991, "cached_input_tokens": 13696, "output_tokens": 555, "reasoning_output_tokens": 394}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6b244ee546038269/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6b244ee546038269/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..29d49d5c1ce758d705eb3e167dc97722ddd092a9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6b244ee546038269/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_6b244ee546038269", + "api_calls": 0, + "input_tokens": 14991, + "cached_input_tokens": 13696, + "output_tokens": 555, + "total_tokens": 15546, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10761.26, + "sql_execution_elapsed_ms_total": 13.12, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6b244ee546038269/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6b244ee546038269/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6b244ee546038269/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4b8e0a16dc91dead68ee87d4e85ffa525b06078f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6b244ee546038269/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:44:18.442966+00:00", + "ended_at": "2026-05-19T15:44:29.204254+00:00", + "elapsed_ms": 10761.26, + "prompt_metrics": { + "chars": 9561, + "bytes_utf8": 9561, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 935, + "bytes_utf8": 935, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 551, + "bytes_utf8": 551, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14991, + "cached_input_tokens": 13696, + "output_tokens": 555, + "reasoning_output_tokens": 394 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6b244ee546038269/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6b244ee546038269/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..14dfc9df247fd6b7d4f70535e4a74af6f8b4bcd6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6b244ee546038269/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=feature_15.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "bindings": { + "measure_col": "feature_15", + "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": 100.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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_a/n9/artifacts/v2q_n9_6b244ee546038269/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6b244ee546038269/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..9150d2158c0dda8155b511e7a87730fe16c4cc9d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6b244ee546038269/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e8-cb10-7a32-a2f8-20b696b16fcf"} +{"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 CAST(\\\"feature_15\\\" AS INTEGER) AS \\\"feature_15\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"feature_15\\\" AS INTEGER) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"n9\\\"\\n)\\nSELECT \\\"feature_15\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"feature_15\\\" DESC;\",\"notes\":\"Applied the Quantile Tail Slice template with measure_col bound to \\\"feature_15\\\" and num_tiles=10. \\\"feature_15\\\" is cast to INTEGER because the schema stores feature values as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14991,"cached_input_tokens":13696,"output_tokens":555,"reasoning_output_tokens":394}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6b244ee546038269/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6b244ee546038269/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..838bc31699ee7e689a34a90af5943931ca3f3be0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6b244ee546038269/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_quantile_tail_slice\nWITH \"buckets\" AS (\n SELECT\n CAST(\"feature_15\" AS INTEGER) AS \"feature_15\",\n NTILE(10) OVER (ORDER BY CAST(\"feature_15\" AS INTEGER) DESC) AS \"tail_bucket\"\n FROM \"n9\"\n)\nSELECT \"feature_15\"\nFROM \"buckets\"\nWHERE \"tail_bucket\" = 1\nORDER BY \"feature_15\" DESC;","notes":"Applied the Quantile Tail Slice template with measure_col bound to \"feature_15\" and num_tiles=10. \"feature_15\" is cast to INTEGER because the schema stores feature values as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6b244ee546038269/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6b244ee546038269/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_77b82fc148cb125f/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_77b82fc148cb125f/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..afa3ed725ddb1860e73b5af440ade1dc29e457ca --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_77b82fc148cb125f/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10187, "bytes_utf8": 10187, "lines": 303, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 638, "bytes_utf8": 638, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15145, "cached_input_tokens": 13696, "output_tokens": 461, "reasoning_output_tokens": 282}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_77b82fc148cb125f/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_77b82fc148cb125f/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..27e47a009771e0a6032fce2dbbfaa169754f3bf8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_77b82fc148cb125f/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_77b82fc148cb125f", + "api_calls": 0, + "input_tokens": 15145, + "cached_input_tokens": 13696, + "output_tokens": 461, + "total_tokens": 15606, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10308.45, + "sql_execution_elapsed_ms_total": 9.9, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_77b82fc148cb125f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_77b82fc148cb125f/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_77b82fc148cb125f/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..db1abace7ef88763f8725e3908e22af2a99c52db --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_77b82fc148cb125f/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": "2026-05-19T15:41:04.235201+00:00", + "ended_at": "2026-05-19T15:41:14.543684+00:00", + "elapsed_ms": 10308.45, + "prompt_metrics": { + "chars": 10187, + "bytes_utf8": 10187, + "lines": 303, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1003, + "bytes_utf8": 1003, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 638, + "bytes_utf8": 638, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15145, + "cached_input_tokens": 13696, + "output_tokens": 461, + "reasoning_output_tokens": 282 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_77b82fc148cb125f/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_77b82fc148cb125f/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..cd47f000c27b6cdc64b8b0d4ecc6c2a4a4f9aac2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_77b82fc148cb125f/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,303 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=feature_9, condition_col=class.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "feature_9", + "condition_col": "class", + "condition_value": "2", + "positive_value": "2", + "negative_value": "4", + "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": 97.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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_a/n9/artifacts/v2q_n9_77b82fc148cb125f/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_77b82fc148cb125f/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..7aff9eb73136d2a3f18cf5de8c7de1db65c942ae --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_77b82fc148cb125f/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e5-d46a-7951-babb-8cdd8f2a47c8"} +{"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 \\\"feature_9\\\",\\n SUM(CASE WHEN \\\"class\\\" = '2' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"class\\\" = '4' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"n9\\\"\\n GROUP BY \\\"feature_9\\\"\\n)\\nSELECT \\\"feature_9\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Grouped ratio query using template tpl_m4_group_ratio_two_conditions: for each \\\"feature_9\\\" value, compute count(class='2') divided by count(class='4').\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15145,"cached_input_tokens":13696,"output_tokens":461,"reasoning_output_tokens":282}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_77b82fc148cb125f/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_77b82fc148cb125f/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6906864050ce5a4a0459a12a7db115343f494e37 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_77b82fc148cb125f/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT \"feature_9\",\n SUM(CASE WHEN \"class\" = '2' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"class\" = '4' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"n9\"\n GROUP BY \"feature_9\"\n)\nSELECT \"feature_9\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;","notes":"Grouped ratio query using template tpl_m4_group_ratio_two_conditions: for each \"feature_9\" value, compute count(class='2') divided by count(class='4')."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_77b82fc148cb125f/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_77b82fc148cb125f/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7872fd8b4797f83d/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7872fd8b4797f83d/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..301c27dfa6633b4952f91e37c0d88d823a53670b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7872fd8b4797f83d/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9947, "bytes_utf8": 9947, "lines": 300, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 700, "bytes_utf8": 700, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15076, "cached_input_tokens": 13696, "output_tokens": 504, "reasoning_output_tokens": 295}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7872fd8b4797f83d/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7872fd8b4797f83d/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..fe33a91ce69e03a0545a97d79cc2754fb31f88f2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7872fd8b4797f83d/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_7872fd8b4797f83d", + "api_calls": 0, + "input_tokens": 15076, + "cached_input_tokens": 13696, + "output_tokens": 504, + "total_tokens": 15580, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15474.02, + "sql_execution_elapsed_ms_total": 6.03, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7872fd8b4797f83d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7872fd8b4797f83d/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7872fd8b4797f83d/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a1d46d018832e1c48d72c6a58339dafcc8bfe841 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7872fd8b4797f83d/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": "2026-05-19T15:46:50.580012+00:00", + "ended_at": "2026-05-19T15:47:06.054077+00:00", + "elapsed_ms": 15474.02, + "prompt_metrics": { + "chars": 9947, + "bytes_utf8": 9947, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1453, + "bytes_utf8": 1453, + "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": 700, + "bytes_utf8": 700, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15076, + "cached_input_tokens": 13696, + "output_tokens": 504, + "reasoning_output_tokens": 295 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7872fd8b4797f83d/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7872fd8b4797f83d/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9734bee0d7d5ab47d07dfa830258d11b19ff33ec --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7872fd8b4797f83d/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=feature_6, measure_col=feature_10.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "feature_6", + "measure_col": "feature_10", + "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": 45.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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_a/n9/artifacts/v2q_n9_7872fd8b4797f83d/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7872fd8b4797f83d/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5c4e016cda7c553fb411da224b14045b5b2dea79 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7872fd8b4797f83d/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,5 @@ +{"type":"thread.started","thread_id":"019e40eb-1dc8-7030-8f5d-d3d4b3b042d4"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 15711. Please try again in 471ms. 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\\n \\\"feature_6\\\",\\n SUM(CAST(\\\"feature_10\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"n9\\\"\\n GROUP BY \\\"feature_6\\\"\\n),\\n\\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT\\n g.\\\"feature_6\\\",\\n g.\\\"group_value\\\"\\nFROM \\\"grouped\\\" AS g\\nCROSS JOIN \\\"total\\\" AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.05\\nORDER BY g.\\\"group_value\\\" DESC;\",\"notes\":\"Applied the planned Relative-to-Total Extreme Threshold template with group_col=\\\"feature_6\\\" and measure_col=\\\"feature_10\\\". CAST was added because the schema stores numeric fields as TEXT in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15076,"cached_input_tokens":13696,"output_tokens":504,"reasoning_output_tokens":295}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7872fd8b4797f83d/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7872fd8b4797f83d/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e041f807356f83d01d62c8a3190615ae04262c05 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7872fd8b4797f83d/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH \"grouped\" AS (\n SELECT\n \"feature_6\",\n SUM(CAST(\"feature_10\" AS REAL)) AS \"group_value\"\n FROM \"n9\"\n GROUP BY \"feature_6\"\n),\n\"total\" AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM \"grouped\"\n)\nSELECT\n g.\"feature_6\",\n g.\"group_value\"\nFROM \"grouped\" AS g\nCROSS JOIN \"total\" AS t\nWHERE g.\"group_value\" > t.\"total_value\" * 0.05\nORDER BY g.\"group_value\" DESC;","notes":"Applied the planned Relative-to-Total Extreme Threshold template with group_col=\"feature_6\" and measure_col=\"feature_10\". CAST was added because the schema stores numeric fields as TEXT in SQLite."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7872fd8b4797f83d/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7872fd8b4797f83d/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_79f8ee093333c387/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_79f8ee093333c387/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..bbdfb7901647785e4a6b94c66c76252be364ad59 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_79f8ee093333c387/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": "2026-05-19T16:04:47.298133+00:00", + "ended_at": "2026-05-19T16:04:51.114221+00:00", + "elapsed_ms": 3816.07, + "returncode": 1, + "prompt_metrics": { + "chars": 9324, + "bytes_utf8": 9324, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_79f8ee093333c387/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_79f8ee093333c387/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1af68a5d909fcdcc48f40a1ae4b194be2fb140ca --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_79f8ee093333c387/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": "2026-05-19T16:04:52.116874+00:00", + "ended_at": "2026-05-19T16:04:55.433502+00:00", + "elapsed_ms": 3316.58, + "returncode": 1, + "prompt_metrics": { + "chars": 9324, + "bytes_utf8": 9324, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_79f8ee093333c387/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_79f8ee093333c387/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..328936a2516c1155165afe7a9ba129dc87f64a96 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_79f8ee093333c387/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=feature_4.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "feature_4", + "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": 100.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_79f8ee093333c387/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_79f8ee093333c387/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..328936a2516c1155165afe7a9ba129dc87f64a96 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_79f8ee093333c387/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=feature_4.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "feature_4", + "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": 100.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_79f8ee093333c387/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_79f8ee093333c387/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ca1a95cf70a6b80341697caa6c30d78aedc320c1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_79f8ee093333c387/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-8b42-7843-8e86-fc73bf3a5983"} +{"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_a/n9/artifacts/v2q_n9_79f8ee093333c387/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_79f8ee093333c387/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d2fd94bde21674b7fe40c851a83b61249b519ad0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_79f8ee093333c387/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-8b42-7843-8e86-fc73bf3a5983"} +{"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_a/n9/artifacts/v2q_n9_79f8ee093333c387/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_79f8ee093333c387/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..bef16583be32c908bcad1d278a1580c80088e5bf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_79f8ee093333c387/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-9e34-7ef1-8d09-dd06132e8fde"} +{"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_a/n9/artifacts/v2q_n9_79f8ee093333c387/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_79f8ee093333c387/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..10f6aaf712411686fef90a4869d90760865bc01a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_79f8ee093333c387/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-9e34-7ef1-8d09-dd06132e8fde"} +{"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_a/n9/artifacts/v2q_n9_79f8ee093333c387/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_79f8ee093333c387/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_79f8ee093333c387/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_79f8ee093333c387/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7b094f86425ab76d/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7b094f86425ab76d/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e1973345c3cd8d1fe1bb8adba4a4e1cabae01272 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7b094f86425ab76d/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9378, "bytes_utf8": 9378, "lines": 298, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "status": "failed", "error": "AI CLI command failed with exit code 1: "} +{"attempt": 2, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_2.txt", "metrics": {"chars": 9378, "bytes_utf8": 9378, "lines": 298, "estimated_tokens": null}} +{"attempt": 2, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_2.txt", "raw_content_path": "cli/sql_response_attempt_2.raw.txt", "stderr_path": "cli/sql_stderr_attempt_2.txt", "metrics": {"chars": 373, "bytes_utf8": 373, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14948, "cached_input_tokens": 13696, "output_tokens": 271, "reasoning_output_tokens": 163}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7b094f86425ab76d/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7b094f86425ab76d/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..55d5e247ec911cd8fabddf11ed82d310e9a93917 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7b094f86425ab76d/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_7b094f86425ab76d", + "api_calls": 0, + "input_tokens": 14948, + "cached_input_tokens": 13696, + "output_tokens": 271, + "total_tokens": 15219, + "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": 11184.62, + "sql_execution_elapsed_ms_total": 4.68, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7b094f86425ab76d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7b094f86425ab76d/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7b094f86425ab76d/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1ef8ac7136802850393f4ec89eff586843638fef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7b094f86425ab76d/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:07:41.412608+00:00", + "ended_at": "2026-05-19T16:07:44.989367+00:00", + "elapsed_ms": 3576.73, + "returncode": 1, + "prompt_metrics": { + "chars": 9378, + "bytes_utf8": 9378, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7b094f86425ab76d/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7b094f86425ab76d/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..32772c0f671441463c399159f904c2217cf9e55a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7b094f86425ab76d/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": "2026-05-19T16:07:45.991344+00:00", + "ended_at": "2026-05-19T16:07:53.599258+00:00", + "elapsed_ms": 7607.89, + "prompt_metrics": { + "chars": 9378, + "bytes_utf8": 9378, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 726, + "bytes_utf8": 726, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 373, + "bytes_utf8": 373, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14948, + "cached_input_tokens": 13696, + "output_tokens": 271, + "reasoning_output_tokens": 163 + } + }, + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7b094f86425ab76d/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7b094f86425ab76d/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ad8dbfaebf64e062a1c941b8444ae95c21442179 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7b094f86425ab76d/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=feature_9.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "feature_9", + "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": 51.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7b094f86425ab76d/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7b094f86425ab76d/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..ad8dbfaebf64e062a1c941b8444ae95c21442179 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7b094f86425ab76d/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=feature_9.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "feature_9", + "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": 51.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7b094f86425ab76d/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7b094f86425ab76d/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5ed50a213b220553b0350e1c5354947f6deaead8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7b094f86425ab76d/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-3375-77b2-ae2c-eb2cb0492b5f"} +{"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_a/n9/artifacts/v2q_n9_7b094f86425ab76d/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7b094f86425ab76d/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ecdec436dd442780ccb407376b2cb84b855bc862 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7b094f86425ab76d/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-3375-77b2-ae2c-eb2cb0492b5f"} +{"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_a/n9/artifacts/v2q_n9_7b094f86425ab76d/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7b094f86425ab76d/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a60f56cdd028112952c4171f3401199c22c5f77a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7b094f86425ab76d/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-4561-7c53-86c8-7841a56ab767"} +{"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 \\\"feature_9\\\",\\n COUNT(*) AS support\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_9\\\"\\nORDER BY support ASC, \\\"feature_9\\\"\\nLIMIT 17;\",\"notes\":\"Applied the planned Low-Support Group Count template with group_col bound to \\\"feature_9\\\" and top_k=17. Grouping and ordering use the column as stored in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14948,"cached_input_tokens":13696,"output_tokens":271,"reasoning_output_tokens":163}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7b094f86425ab76d/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7b094f86425ab76d/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..39b24e8f9f4987c2567f26d9ae713ed2feaa1c55 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7b094f86425ab76d/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tail_low_support_group_count_v2.\nSELECT\n \"feature_9\",\n COUNT(*) AS support\nFROM \"n9\"\nGROUP BY \"feature_9\"\nORDER BY support ASC, \"feature_9\"\nLIMIT 17;","notes":"Applied the planned Low-Support Group Count template with group_col bound to \"feature_9\" and top_k=17. Grouping and ordering use the column as stored in SQLite."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7b094f86425ab76d/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7b094f86425ab76d/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7b094f86425ab76d/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7b094f86425ab76d/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7b9d7c673f0f635c/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7b9d7c673f0f635c/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c60a6ce8ba3727786b92257ef7ae7e42319fb2bc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7b9d7c673f0f635c/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9802, "bytes_utf8": 9802, "lines": 302, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 595, "bytes_utf8": 595, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15060, "cached_input_tokens": 12032, "output_tokens": 498, "reasoning_output_tokens": 324}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7b9d7c673f0f635c/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7b9d7c673f0f635c/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..86f0328d3f2add12f7664b172beb057eca467b32 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7b9d7c673f0f635c/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_7b9d7c673f0f635c", + "api_calls": 0, + "input_tokens": 15060, + "cached_input_tokens": 12032, + "output_tokens": 498, + "total_tokens": 15558, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13786.05, + "sql_execution_elapsed_ms_total": 14.62, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7b9d7c673f0f635c/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7b9d7c673f0f635c/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7b9d7c673f0f635c/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..091f362dc94599ab50aa0250168af6eb0e5807e7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7b9d7c673f0f635c/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:38:16.799101+00:00", + "ended_at": "2026-05-19T15:38:30.585184+00:00", + "elapsed_ms": 13786.05, + "prompt_metrics": { + "chars": 9802, + "bytes_utf8": 9802, + "lines": 302, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 975, + "bytes_utf8": 975, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 595, + "bytes_utf8": 595, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15060, + "cached_input_tokens": 12032, + "output_tokens": 498, + "reasoning_output_tokens": 324 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7b9d7c673f0f635c/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7b9d7c673f0f635c/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..dee58c61b174741132d0897c5db88d4cd4b1ab53 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7b9d7c673f0f635c/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,302 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=feature_16, measure_col=feature_1.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "feature_16", + "measure_col": "feature_1", + "item_col": "feature_2", + "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": 65.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_7b9d7c673f0f635c/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7b9d7c673f0f635c/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..9f92d9869763e619fd1e312800d7c275bfea424e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7b9d7c673f0f635c/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e3-466b-7100-8126-47830819f385"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"feature_16\\\", \\\"feature_2\\\",\\n SUM(CAST(\\\"feature_1\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"feature_1\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"feature_1\\\" AS REAL))) OVER (PARTITION BY \\\"feature_16\\\") AS share_within_group\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_16\\\", \\\"feature_2\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the Within-Group Share of Total template with group_col=\\\"feature_16\\\", item_col=\\\"feature_2\\\", and measure_col=\\\"feature_1\\\". CAST is used because the schema stores feature columns as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15060,"cached_input_tokens":12032,"output_tokens":498,"reasoning_output_tokens":324}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7b9d7c673f0f635c/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7b9d7c673f0f635c/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4b277a2392fce8389801c0df587aae14d858ff6c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7b9d7c673f0f635c/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"feature_16\", \"feature_2\",\n SUM(CAST(\"feature_1\" AS REAL)) AS total_measure,\n SUM(CAST(\"feature_1\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"feature_1\" AS REAL))) OVER (PARTITION BY \"feature_16\") AS share_within_group\nFROM \"n9\"\nGROUP BY \"feature_16\", \"feature_2\"\nORDER BY share_within_group DESC;","notes":"Applied the Within-Group Share of Total template with group_col=\"feature_16\", item_col=\"feature_2\", and measure_col=\"feature_1\". CAST is used because the schema stores feature columns as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7b9d7c673f0f635c/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7b9d7c673f0f635c/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7e97a63641733b89/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7e97a63641733b89/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..64144f162aed608e141ae73bd765c8f8e65a9894 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7e97a63641733b89/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9568, "bytes_utf8": 9568, "lines": 300, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 762, "bytes_utf8": 762, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14978, "cached_input_tokens": 12032, "output_tokens": 737, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7e97a63641733b89/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7e97a63641733b89/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..9c488951af2769845e18589cc85cd3a7069cb89c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7e97a63641733b89/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_7e97a63641733b89", + "api_calls": 0, + "input_tokens": 14978, + "cached_input_tokens": 12032, + "output_tokens": 737, + "total_tokens": 15715, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 16650.97, + "sql_execution_elapsed_ms_total": 16.61, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7e97a63641733b89/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7e97a63641733b89/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7e97a63641733b89/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..daef7fda77a2cc9c05205d7c535796c774f366b7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7e97a63641733b89/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": "2026-05-19T15:54:56.688217+00:00", + "ended_at": "2026-05-19T15:55:13.339222+00:00", + "elapsed_ms": 16650.97, + "prompt_metrics": { + "chars": 9568, + "bytes_utf8": 9568, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1165, + "bytes_utf8": 1165, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 762, + "bytes_utf8": 762, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14978, + "cached_input_tokens": 12032, + "output_tokens": 737, + "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_a/n9/artifacts/v2q_n9_7e97a63641733b89/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7e97a63641733b89/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..bd6dea612486269ab299b6e7c37f005194e64a67 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7e97a63641733b89/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=feature_5, measure_col=feature_10.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "feature_5", + "measure_col": "feature_10", + "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": 54.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_7e97a63641733b89/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7e97a63641733b89/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f13557dad1ae1f37c449fb81fb5cd4ed74de0f05 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7e97a63641733b89/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f2-8853-7fb1-90b7-f479f83136e5"} +{"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 \\\"feature_5\\\",\\n CAST(\\\"feature_10\\\" AS REAL) AS \\\"measure_value\\\",\\n CUME_DIST() OVER (\\n PARTITION BY \\\"feature_5\\\"\\n ORDER BY CAST(\\\"feature_10\\\" AS REAL)\\n ) AS \\\"cum_dist\\\"\\n FROM \\\"n9\\\"\\n)\\nSELECT\\n \\\"feature_5\\\",\\n MIN(\\\"measure_value\\\") AS \\\"percentile_measure\\\"\\nFROM \\\"ranked\\\"\\nWHERE \\\"cum_dist\\\" >= 0.9\\nGROUP BY \\\"feature_5\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this uses CUME_DIST() to emulate the 90th percentile per feature_5 group as the smallest feature_10 value whose cumulative distribution reaches at least 0.9. feature_10 is cast from TEXT to REAL for numeric ordering.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14978,"cached_input_tokens":12032,"output_tokens":737,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7e97a63641733b89/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7e97a63641733b89/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5a22473dca68914cf13090aa2444025ee640249e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7e97a63641733b89/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n \"feature_5\",\n CAST(\"feature_10\" AS REAL) AS \"measure_value\",\n CUME_DIST() OVER (\n PARTITION BY \"feature_5\"\n ORDER BY CAST(\"feature_10\" AS REAL)\n ) AS \"cum_dist\"\n FROM \"n9\"\n)\nSELECT\n \"feature_5\",\n MIN(\"measure_value\") AS \"percentile_measure\"\nFROM \"ranked\"\nWHERE \"cum_dist\" >= 0.9\nGROUP BY \"feature_5\"\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite does not support PERCENTILE_CONT, so this uses CUME_DIST() to emulate the 90th percentile per feature_5 group as the smallest feature_10 value whose cumulative distribution reaches at least 0.9. feature_10 is cast from TEXT to REAL for numeric ordering."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7e97a63641733b89/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7e97a63641733b89/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7f2c9cb98bebdea7/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7f2c9cb98bebdea7/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6837454ef18a3fa237a21c0315f95ee01de673c6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7f2c9cb98bebdea7/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10186, "bytes_utf8": 10186, "lines": 303, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 656, "bytes_utf8": 656, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15145, "cached_input_tokens": 14720, "output_tokens": 694, "reasoning_output_tokens": 509}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7f2c9cb98bebdea7/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7f2c9cb98bebdea7/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..d51d91df5051163ae2794f8e4bef0e61c7316359 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7f2c9cb98bebdea7/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_7f2c9cb98bebdea7", + "api_calls": 0, + "input_tokens": 15145, + "cached_input_tokens": 14720, + "output_tokens": 694, + "total_tokens": 15839, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 19454.79, + "sql_execution_elapsed_ms_total": 13.08, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7f2c9cb98bebdea7/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7f2c9cb98bebdea7/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7f2c9cb98bebdea7/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..5ae1b84647e435f46592c09d21ee6e08ff38c92b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7f2c9cb98bebdea7/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:40:13.585892+00:00", + "ended_at": "2026-05-19T15:40:33.040715+00:00", + "elapsed_ms": 19454.79, + "prompt_metrics": { + "chars": 10186, + "bytes_utf8": 10186, + "lines": 303, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1358, + "bytes_utf8": 1358, + "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": 656, + "bytes_utf8": 656, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15145, + "cached_input_tokens": 14720, + "output_tokens": 694, + "reasoning_output_tokens": 509 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7f2c9cb98bebdea7/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7f2c9cb98bebdea7/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..491a59402247694eaa0996b5e804dc75cafb1194 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7f2c9cb98bebdea7/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,303 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=feature_6, condition_col=class.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "feature_6", + "condition_col": "class", + "condition_value": "2", + "positive_value": "2", + "negative_value": "4", + "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": 64.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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_a/n9/artifacts/v2q_n9_7f2c9cb98bebdea7/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7f2c9cb98bebdea7/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..96ea090aa56b6516aca89058b3748f4c79390267 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7f2c9cb98bebdea7/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,5 @@ +{"type":"thread.started","thread_id":"019e40e5-0ea8-7030-8419-cdc202717854"} +{"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 1992812, Requested 15780. Please try again in 257ms. 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_group_ratio_two_conditions.\\nWITH grouped AS (\\n SELECT \\\"feature_6\\\",\\n SUM(CASE WHEN \\\"class\\\" = '2' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"class\\\" = '4' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"n9\\\"\\n GROUP BY \\\"feature_6\\\"\\n)\\nSELECT \\\"feature_6\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Uses the provided grouped ratio template with group_col=\\\"feature_6\\\" and condition_col=\\\"class\\\", computing the ratio of class '2' to class '4' for each feature_6 group.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15145,"cached_input_tokens":14720,"output_tokens":694,"reasoning_output_tokens":509}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7f2c9cb98bebdea7/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7f2c9cb98bebdea7/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f77e180b1f3893e37788a30f8ae80296d27b7971 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7f2c9cb98bebdea7/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_ratio_two_conditions.\nWITH grouped AS (\n SELECT \"feature_6\",\n SUM(CASE WHEN \"class\" = '2' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"class\" = '4' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"n9\"\n GROUP BY \"feature_6\"\n)\nSELECT \"feature_6\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;","notes":"Uses the provided grouped ratio template with group_col=\"feature_6\" and condition_col=\"class\", computing the ratio of class '2' to class '4' for each feature_6 group."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7f2c9cb98bebdea7/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7f2c9cb98bebdea7/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8018cd36f1aa3207/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8018cd36f1aa3207/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..18b6d280d3e5b91bc60b4820baa8f0fafa0bfd73 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8018cd36f1aa3207/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9325, "bytes_utf8": 9325, "lines": 298, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 377, "bytes_utf8": 377, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14927, "cached_input_tokens": 12032, "output_tokens": 306, "reasoning_output_tokens": 197}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8018cd36f1aa3207/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8018cd36f1aa3207/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a12137aba494a4b84df2c5399773fbc53e5b4b75 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8018cd36f1aa3207/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_8018cd36f1aa3207", + "api_calls": 0, + "input_tokens": 14927, + "cached_input_tokens": 12032, + "output_tokens": 306, + "total_tokens": 15233, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8523.04, + "sql_execution_elapsed_ms_total": 1.89, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8018cd36f1aa3207/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8018cd36f1aa3207/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8018cd36f1aa3207/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c3688b119cb700bd5afa75a5b45b3cc7f4fe8288 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8018cd36f1aa3207/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:04:12.495418+00:00", + "ended_at": "2026-05-19T16:04:21.018480+00:00", + "elapsed_ms": 8523.04, + "prompt_metrics": { + "chars": 9325, + "bytes_utf8": 9325, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 721, + "bytes_utf8": 721, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 377, + "bytes_utf8": 377, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14927, + "cached_input_tokens": 12032, + "output_tokens": 306, + "reasoning_output_tokens": 197 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8018cd36f1aa3207/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8018cd36f1aa3207/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..bf7c11a7d23cdc4695f646729b55ea5426e6f827 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8018cd36f1aa3207/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=feature_16.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "feature_16", + "top_k": 11, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 51.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "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_a/n9/artifacts/v2q_n9_8018cd36f1aa3207/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8018cd36f1aa3207/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..dfad4e57494fe875f5f32ef20d0a0ea67cebde1d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8018cd36f1aa3207/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-0370-7cd0-bac1-ef9ff0b1ae17"} +{"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(\\\"feature_16\\\" AS REAL) <= 51.0 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"n9\\\";\",\"notes\":\"Used the planned Threshold Rarity CDF template with measure_col bound to \\\"feature_16\\\" and threshold 51.0. CAST to REAL is included because the feature columns are stored as TEXT in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14927,"cached_input_tokens":12032,"output_tokens":306,"reasoning_output_tokens":197}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8018cd36f1aa3207/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8018cd36f1aa3207/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..61dabf5f1f6ce271b480c59535d4fd4933ccb300 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8018cd36f1aa3207/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_threshold_rarity_cdf\nSELECT AVG(CASE WHEN CAST(\"feature_16\" AS REAL) <= 51.0 THEN 1 ELSE 0 END) AS \"empirical_cdf_at_threshold\"\nFROM \"n9\";","notes":"Used the planned Threshold Rarity CDF template with measure_col bound to \"feature_16\" and threshold 51.0. CAST to REAL is included because the feature columns are stored as TEXT in SQLite."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8018cd36f1aa3207/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8018cd36f1aa3207/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_834804424cb72fa9/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_834804424cb72fa9/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3da8fc26b11221ea27b92c56fad78a9ba3266667 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_834804424cb72fa9/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9300, "bytes_utf8": 9300, "lines": 298, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 283, "bytes_utf8": 283, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14911, "cached_input_tokens": 13696, "output_tokens": 242, "reasoning_output_tokens": 159}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_834804424cb72fa9/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_834804424cb72fa9/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..070b97fc6364f84b56b594664acf32853b902b62 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_834804424cb72fa9/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_834804424cb72fa9", + "api_calls": 0, + "input_tokens": 14911, + "cached_input_tokens": 13696, + "output_tokens": 242, + "total_tokens": 15153, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14468.63, + "sql_execution_elapsed_ms_total": 10.54, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_834804424cb72fa9/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_834804424cb72fa9/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_834804424cb72fa9/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..2f5076db7c2fcc4131c7e501610cc38ee211a157 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_834804424cb72fa9/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": "2026-05-19T15:32:30.762589+00:00", + "ended_at": "2026-05-19T15:32:45.231251+00:00", + "elapsed_ms": 14468.63, + "prompt_metrics": { + "chars": 9300, + "bytes_utf8": 9300, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1307, + "bytes_utf8": 1307, + "lines": 6, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 283, + "bytes_utf8": 283, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14911, + "cached_input_tokens": 13696, + "output_tokens": 242, + "reasoning_output_tokens": 159 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_834804424cb72fa9/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_834804424cb72fa9/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..49967e28ab5db78e9a823b6e0a0a374b439dca09 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_834804424cb72fa9/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=feature_15.", + "planned_template_id": "tpl_clickbench_group_count", + "bindings": { + "group_col": "feature_15", + "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": 100.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_834804424cb72fa9/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_834804424cb72fa9/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e14a4ee5bc4a52f3cf8e4b29d5ec34508cf197b9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_834804424cb72fa9/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,6 @@ +{"type":"thread.started","thread_id":"019e40dd-feca-7c90-8ae7-c52757658c77"} +{"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 1988928, Requested 15546. Please try again in 134ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 3/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 15546. Please try again in 466ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"feature_15\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_15\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Uses the planned grouped-count template with group_col bound to \\\"feature_15\\\" on single table \\\"n9\\\".\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14911,"cached_input_tokens":13696,"output_tokens":242,"reasoning_output_tokens":159}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_834804424cb72fa9/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_834804424cb72fa9/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..314cc76290c1e5c4b0e3032665fb6f008ad6c788 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_834804424cb72fa9/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_clickbench_group_count\nSELECT \"feature_15\", COUNT(*) AS \"row_count\"\nFROM \"n9\"\nGROUP BY \"feature_15\"\nORDER BY \"row_count\" DESC;","notes":"Uses the planned grouped-count template with group_col bound to \"feature_15\" on single table \"n9\"."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_834804424cb72fa9/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_834804424cb72fa9/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_87e7f001cbe6b23b/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_87e7f001cbe6b23b/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..88b7f3b3cbdb2c829784912477584c97bdbd03b6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_87e7f001cbe6b23b/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9391, "bytes_utf8": 9391, "lines": 300, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 370, "bytes_utf8": 370, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14940, "cached_input_tokens": 12032, "output_tokens": 311, "reasoning_output_tokens": 208}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_87e7f001cbe6b23b/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_87e7f001cbe6b23b/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..55e067896334a43db11924fa6947d6c7ae521566 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_87e7f001cbe6b23b/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_87e7f001cbe6b23b", + "api_calls": 0, + "input_tokens": 14940, + "cached_input_tokens": 12032, + "output_tokens": 311, + "total_tokens": 15251, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12444.42, + "sql_execution_elapsed_ms_total": 9.34, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_87e7f001cbe6b23b/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_87e7f001cbe6b23b/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_87e7f001cbe6b23b/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4dd9454a4411a08863417902106888a9db5ab120 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_87e7f001cbe6b23b/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:30:24.370412+00:00", + "ended_at": "2026-05-19T15:30:36.814864+00:00", + "elapsed_ms": 12444.42, + "prompt_metrics": { + "chars": 9391, + "bytes_utf8": 9391, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 724, + "bytes_utf8": 724, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 370, + "bytes_utf8": 370, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14940, + "cached_input_tokens": 12032, + "output_tokens": 311, + "reasoning_output_tokens": 208 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_87e7f001cbe6b23b/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_87e7f001cbe6b23b/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..90123f745e3379b868a10742cb5c959ca62ea8e0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_87e7f001cbe6b23b/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=feature_6, measure_col=feature_6.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "feature_6", + "measure_col": "feature_6", + "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": 80.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_87e7f001cbe6b23b/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_87e7f001cbe6b23b/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ff72c59bacf9a6f1ba3f9cdfc726f25fd84bd271 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_87e7f001cbe6b23b/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40dc-10f1-7123-877f-cebc2a624c12"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"feature_6\\\", SUM(CAST(\\\"feature_6\\\" AS NUMERIC)) AS total_measure\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_6\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Applied the provided Grouped Numeric Sum template with group_col=\\\"feature_6\\\" and measure_col=\\\"feature_6\\\". CAST is used because the schema stores feature columns as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14940,"cached_input_tokens":12032,"output_tokens":311,"reasoning_output_tokens":208}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_87e7f001cbe6b23b/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_87e7f001cbe6b23b/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8f2107c8330e5ffc177b4058ce5c6426f1c6d74d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_87e7f001cbe6b23b/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"feature_6\", SUM(CAST(\"feature_6\" AS NUMERIC)) AS total_measure\nFROM \"n9\"\nGROUP BY \"feature_6\"\nORDER BY total_measure DESC;","notes":"Applied the provided Grouped Numeric Sum template with group_col=\"feature_6\" and measure_col=\"feature_6\". CAST is used because the schema stores feature columns as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_87e7f001cbe6b23b/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_87e7f001cbe6b23b/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8b1b87b2fecc9e09/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8b1b87b2fecc9e09/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..abe8facfcac08d832170b46fabdd1c189e69614d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8b1b87b2fecc9e09/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9948, "bytes_utf8": 9948, "lines": 300, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 739, "bytes_utf8": 739, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15076, "cached_input_tokens": 13696, "output_tokens": 695, "reasoning_output_tokens": 482}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8b1b87b2fecc9e09/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8b1b87b2fecc9e09/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..f740a3e1c5e49afa4b7680727200b6b731b3f936 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8b1b87b2fecc9e09/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_8b1b87b2fecc9e09", + "api_calls": 0, + "input_tokens": 15076, + "cached_input_tokens": 13696, + "output_tokens": 695, + "total_tokens": 15771, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 18333.13, + "sql_execution_elapsed_ms_total": 9.26, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8b1b87b2fecc9e09/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8b1b87b2fecc9e09/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8b1b87b2fecc9e09/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..8527be50c3bc54a387efb113dfd825d0996a465b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8b1b87b2fecc9e09/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:48:46.644649+00:00", + "ended_at": "2026-05-19T15:49:04.977821+00:00", + "elapsed_ms": 18333.13, + "prompt_metrics": { + "chars": 9948, + "bytes_utf8": 9948, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1159, + "bytes_utf8": 1159, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 739, + "bytes_utf8": 739, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15076, + "cached_input_tokens": 13696, + "output_tokens": 695, + "reasoning_output_tokens": 482 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8b1b87b2fecc9e09/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8b1b87b2fecc9e09/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7acb3f75ddd85dda12d8a27f37ac668bb4a6f643 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8b1b87b2fecc9e09/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=feature_11, measure_col=feature_15.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "feature_11", + "measure_col": "feature_15", + "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": 100.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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_a/n9/artifacts/v2q_n9_8b1b87b2fecc9e09/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8b1b87b2fecc9e09/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..fa948ca183a0e246d51ad575fd8178d19539af58 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8b1b87b2fecc9e09/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ec-e2b8-7c40-88af-4d7207530354"} +{"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 \\\"feature_11\\\",\\n SUM(CAST(\\\"feature_15\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"n9\\\"\\n GROUP BY \\\"feature_11\\\"\\n),\\n\\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT\\n g.\\\"feature_11\\\",\\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 Extreme Threshold template with group_col=\\\"feature_11\\\", measure_col=\\\"feature_15\\\", and fraction_threshold=0.1. CAST is used because the schema stores feature columns as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15076,"cached_input_tokens":13696,"output_tokens":695,"reasoning_output_tokens":482}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8b1b87b2fecc9e09/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8b1b87b2fecc9e09/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..65d4c623fd0d871546dc8cfe58e8a0d17f70e744 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8b1b87b2fecc9e09/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH \"grouped\" AS (\n SELECT\n \"feature_11\",\n SUM(CAST(\"feature_15\" AS REAL)) AS \"group_value\"\n FROM \"n9\"\n GROUP BY \"feature_11\"\n),\n\"total\" AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM \"grouped\"\n)\nSELECT\n g.\"feature_11\",\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 Extreme Threshold template with group_col=\"feature_11\", measure_col=\"feature_15\", and fraction_threshold=0.1. CAST is used because the schema stores feature columns as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8b1b87b2fecc9e09/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8b1b87b2fecc9e09/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8fb8cc3b4d18fbc4/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8fb8cc3b4d18fbc4/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..053969cb76eb214cdc00c0edcbf6dcabc7ed4347 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8fb8cc3b4d18fbc4/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9559, "bytes_utf8": 9559, "lines": 298, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 546, "bytes_utf8": 546, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14991, "cached_input_tokens": 12032, "output_tokens": 513, "reasoning_output_tokens": 352}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8fb8cc3b4d18fbc4/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8fb8cc3b4d18fbc4/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a2b102febd652c9fc5b37a8b75a914e7ee1271f1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8fb8cc3b4d18fbc4/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_8fb8cc3b4d18fbc4", + "api_calls": 0, + "input_tokens": 14991, + "cached_input_tokens": 12032, + "output_tokens": 513, + "total_tokens": 15504, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12273.6, + "sql_execution_elapsed_ms_total": 18.06, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8fb8cc3b4d18fbc4/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8fb8cc3b4d18fbc4/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8fb8cc3b4d18fbc4/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1652759d6da1879bdb031b9ce1f617e4f77d3ffa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8fb8cc3b4d18fbc4/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:44:06.147086+00:00", + "ended_at": "2026-05-19T15:44:18.420718+00:00", + "elapsed_ms": 12273.6, + "prompt_metrics": { + "chars": 9559, + "bytes_utf8": 9559, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 926, + "bytes_utf8": 926, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 546, + "bytes_utf8": 546, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14991, + "cached_input_tokens": 12032, + "output_tokens": 513, + "reasoning_output_tokens": 352 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8fb8cc3b4d18fbc4/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8fb8cc3b4d18fbc4/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..061ea80326d0f4501cd1ffec39dc77fdbb4a89d3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8fb8cc3b4d18fbc4/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=feature_14.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "bindings": { + "measure_col": "feature_14", + "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": 47.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH 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_a/n9/artifacts/v2q_n9_8fb8cc3b4d18fbc4/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8fb8cc3b4d18fbc4/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..dd6fce741978eba65885b00d285cd67cad7dd3a4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8fb8cc3b4d18fbc4/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e8-9ae9-7ad1-8377-8453a6fd9150"} +{"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 CAST(\\\"feature_14\\\" AS REAL) AS \\\"feature_14\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"feature_14\\\" AS REAL) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"n9\\\"\\n)\\nSELECT \\\"feature_14\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"feature_14\\\" DESC;\",\"notes\":\"Applied the Quantile Tail Slice template with measure_col bound to \\\"feature_14\\\" and num_tiles fixed at 10. Cast to REAL because the SQLite column is stored as TEXT but represents numeric values.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14991,"cached_input_tokens":12032,"output_tokens":513,"reasoning_output_tokens":352}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8fb8cc3b4d18fbc4/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8fb8cc3b4d18fbc4/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5b65b357ad38ad2d53444ad1971d8a90fc8ec4ab --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8fb8cc3b4d18fbc4/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_quantile_tail_slice\nWITH \"buckets\" AS (\n SELECT\n CAST(\"feature_14\" AS REAL) AS \"feature_14\",\n NTILE(10) OVER (ORDER BY CAST(\"feature_14\" AS REAL) DESC) AS \"tail_bucket\"\n FROM \"n9\"\n)\nSELECT \"feature_14\"\nFROM \"buckets\"\nWHERE \"tail_bucket\" = 1\nORDER BY \"feature_14\" DESC;","notes":"Applied the Quantile Tail Slice template with measure_col bound to \"feature_14\" and num_tiles fixed at 10. Cast to REAL because the SQLite column is stored as TEXT but represents numeric values."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8fb8cc3b4d18fbc4/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8fb8cc3b4d18fbc4/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8fba9afb5d5100c2/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8fba9afb5d5100c2/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0dc9e8935359df5589e7f66ab27f97290c350a5b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8fba9afb5d5100c2/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9390, "bytes_utf8": 9390, "lines": 300, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 387, "bytes_utf8": 387, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14940, "cached_input_tokens": 12032, "output_tokens": 428, "reasoning_output_tokens": 316}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8fba9afb5d5100c2/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8fba9afb5d5100c2/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..12bcd70b9cacd4d406d44df35dd877604589049f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8fba9afb5d5100c2/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_8fba9afb5d5100c2", + "api_calls": 0, + "input_tokens": 14940, + "cached_input_tokens": 12032, + "output_tokens": 428, + "total_tokens": 15368, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 19595.43, + "sql_execution_elapsed_ms_total": 5.15, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8fba9afb5d5100c2/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8fba9afb5d5100c2/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8fba9afb5d5100c2/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..09be97c93996aa5884dadb752842153fbab8bbac --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8fba9afb5d5100c2/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": "2026-05-19T15:29:52.842621+00:00", + "ended_at": "2026-05-19T15:30:12.438082+00:00", + "elapsed_ms": 19595.43, + "prompt_metrics": { + "chars": 9390, + "bytes_utf8": 9390, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1419, + "bytes_utf8": 1419, + "lines": 6, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 387, + "bytes_utf8": 387, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14940, + "cached_input_tokens": 12032, + "output_tokens": 428, + "reasoning_output_tokens": 316 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8fba9afb5d5100c2/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8fba9afb5d5100c2/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..13564ff6d1851cb760b673d44ff2c186c49bd80a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8fba9afb5d5100c2/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=feature_5, measure_col=feature_5.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "feature_5", + "measure_col": "feature_5", + "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": 69.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_8fba9afb5d5100c2/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8fba9afb5d5100c2/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..48dc8b74155227c13f92431812f1908bb74deebd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8fba9afb5d5100c2/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,6 @@ +{"type":"thread.started","thread_id":"019e40db-95cf-71a1-be39-ea3584d5ae6b"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 15575. Please try again in 467ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 3/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 15575. Please try again in 467ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"feature_5\\\", SUM(CAST(\\\"feature_5\\\" AS INTEGER)) AS \\\"total_measure\\\"\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_5\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Applied the provided Grouped Numeric Sum template with group_col=\\\"feature_5\\\" and measure_col=\\\"feature_5\\\". Cast \\\"feature_5\\\" from TEXT to INTEGER so the sum is numeric in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14940,"cached_input_tokens":12032,"output_tokens":428,"reasoning_output_tokens":316}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8fba9afb5d5100c2/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8fba9afb5d5100c2/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5bbfdd393a63672fbd09c0922f1bf78088578200 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8fba9afb5d5100c2/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"feature_5\", SUM(CAST(\"feature_5\" AS INTEGER)) AS \"total_measure\"\nFROM \"n9\"\nGROUP BY \"feature_5\"\nORDER BY \"total_measure\" DESC;","notes":"Applied the provided Grouped Numeric Sum template with group_col=\"feature_5\" and measure_col=\"feature_5\". Cast \"feature_5\" from TEXT to INTEGER so the sum is numeric in SQLite."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8fba9afb5d5100c2/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8fba9afb5d5100c2/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_924ff65dde50a4a3/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_924ff65dde50a4a3/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3609e32993547212af2945963f0ea40c9c6ef6ac --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_924ff65dde50a4a3/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9802, "bytes_utf8": 9802, "lines": 302, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 638, "bytes_utf8": 638, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15059, "cached_input_tokens": 13696, "output_tokens": 538, "reasoning_output_tokens": 358}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_924ff65dde50a4a3/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_924ff65dde50a4a3/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..c5c0affb4e7ff9070cb84d3cdc438ef5187af9f1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_924ff65dde50a4a3/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_924ff65dde50a4a3", + "api_calls": 0, + "input_tokens": 15059, + "cached_input_tokens": 13696, + "output_tokens": 538, + "total_tokens": 15597, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 18933.35, + "sql_execution_elapsed_ms_total": 16.37, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_924ff65dde50a4a3/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_924ff65dde50a4a3/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_924ff65dde50a4a3/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ead52a8eef4d951be99fbddc89d38e7392a8d808 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_924ff65dde50a4a3/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": "2026-05-19T15:35:39.450892+00:00", + "ended_at": "2026-05-19T15:35:58.384274+00:00", + "elapsed_ms": 18933.35, + "prompt_metrics": { + "chars": 9802, + "bytes_utf8": 9802, + "lines": 302, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1351, + "bytes_utf8": 1351, + "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": 638, + "bytes_utf8": 638, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15059, + "cached_input_tokens": 13696, + "output_tokens": 538, + "reasoning_output_tokens": 358 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_924ff65dde50a4a3/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_924ff65dde50a4a3/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..85674f4287641b454c14babb03f383b9d9c06a2c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_924ff65dde50a4a3/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,302 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=feature_10, measure_col=feature_11.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "feature_10", + "measure_col": "feature_11", + "item_col": "feature_12", + "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": 89.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_924ff65dde50a4a3/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_924ff65dde50a4a3/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..cdc423b28170940e0ad810f0126cf3216c49418f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_924ff65dde50a4a3/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,5 @@ +{"type":"thread.started","thread_id":"019e40e0-dfc3-7dd2-8e4e-3efbfd510624"} +{"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 1999777, Requested 15694. Please try again in 464ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"feature_10\\\", \\\"feature_12\\\",\\n SUM(CAST(\\\"feature_11\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"feature_11\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"feature_11\\\" AS REAL))) OVER (PARTITION BY \\\"feature_10\\\") AS share_within_group\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_10\\\", \\\"feature_12\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the Within-Group Share of Total template with group_col=\\\"feature_10\\\", item_col=\\\"feature_12\\\", and measure_col=\\\"feature_11\\\". Cast the measure from TEXT to REAL so SUM and percentage calculations behave numerically in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15059,"cached_input_tokens":13696,"output_tokens":538,"reasoning_output_tokens":358}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_924ff65dde50a4a3/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_924ff65dde50a4a3/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b49f8fdafaa6ff5f8c466eca15456dda6cef6183 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_924ff65dde50a4a3/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"feature_10\", \"feature_12\",\n SUM(CAST(\"feature_11\" AS REAL)) AS total_measure,\n SUM(CAST(\"feature_11\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"feature_11\" AS REAL))) OVER (PARTITION BY \"feature_10\") AS share_within_group\nFROM \"n9\"\nGROUP BY \"feature_10\", \"feature_12\"\nORDER BY share_within_group DESC;","notes":"Applied the Within-Group Share of Total template with group_col=\"feature_10\", item_col=\"feature_12\", and measure_col=\"feature_11\". Cast the measure from TEXT to REAL so SUM and percentage calculations behave numerically in SQLite."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_924ff65dde50a4a3/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_924ff65dde50a4a3/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_95ac53b6c9bdb05f/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_95ac53b6c9bdb05f/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..240be4c7bea815e82caafc530e0084cdaa258b21 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_95ac53b6c9bdb05f/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9633, "bytes_utf8": 9633, "lines": 303, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 393, "bytes_utf8": 393, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14998, "cached_input_tokens": 12032, "output_tokens": 357, "reasoning_output_tokens": 245}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_95ac53b6c9bdb05f/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_95ac53b6c9bdb05f/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..619bbb5cddfb7dd3d867894b99829c3f8c3e80e0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_95ac53b6c9bdb05f/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_95ac53b6c9bdb05f", + "api_calls": 0, + "input_tokens": 14998, + "cached_input_tokens": 12032, + "output_tokens": 357, + "total_tokens": 15355, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10438.74, + "sql_execution_elapsed_ms_total": 7.12, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_95ac53b6c9bdb05f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_95ac53b6c9bdb05f/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_95ac53b6c9bdb05f/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f8386f1a50b3a0dae9ca114e6cb9b223eaca6bd6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_95ac53b6c9bdb05f/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": "2026-05-19T16:00:58.414059+00:00", + "ended_at": "2026-05-19T16:01:08.852829+00:00", + "elapsed_ms": 10438.74, + "prompt_metrics": { + "chars": 9633, + "bytes_utf8": 9633, + "lines": 303, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 756, + "bytes_utf8": 756, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 393, + "bytes_utf8": 393, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14998, + "cached_input_tokens": 12032, + "output_tokens": 357, + "reasoning_output_tokens": 245 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_95ac53b6c9bdb05f/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_95ac53b6c9bdb05f/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e9941b9f8d5937567fcef83db9a1b2de48c361c5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_95ac53b6c9bdb05f/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,303 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=feature_12, condition_col=class.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "feature_12", + "condition_col": "class", + "condition_value": "2", + "positive_value": "2", + "negative_value": "4", + "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": 65.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_95ac53b6c9bdb05f/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_95ac53b6c9bdb05f/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..36774f2176163f4c2bdd2b24b0a62039b1d71cc9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_95ac53b6c9bdb05f/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-0d42-73e2-b849-826565678cdf"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"feature_12\\\",\\n AVG(CASE WHEN \\\"class\\\" = '2' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_12\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Grouped condition rate query using \\\"feature_12\\\" as the grouping column and the within-group proportion of rows where \\\"class\\\" = '2' as condition_rate.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14998,"cached_input_tokens":12032,"output_tokens":357,"reasoning_output_tokens":245}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_95ac53b6c9bdb05f/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_95ac53b6c9bdb05f/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..398e8e6646b63e11413d809d26fefc03e0121386 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_95ac53b6c9bdb05f/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"feature_12\",\n AVG(CASE WHEN \"class\" = '2' THEN 1 ELSE 0 END) AS \"condition_rate\"\nFROM \"n9\"\nGROUP BY \"feature_12\"\nORDER BY \"condition_rate\" DESC;","notes":"Grouped condition rate query using \"feature_12\" as the grouping column and the within-group proportion of rows where \"class\" = '2' as condition_rate."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_95ac53b6c9bdb05f/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_95ac53b6c9bdb05f/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9a62b46e99f2dc1e/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9a62b46e99f2dc1e/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5c0136e316e31c94ca08a3d9a19dd8548fab02c8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9a62b46e99f2dc1e/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9798, "bytes_utf8": 9798, "lines": 302, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 605, "bytes_utf8": 605, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15059, "cached_input_tokens": 12032, "output_tokens": 698, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9a62b46e99f2dc1e/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9a62b46e99f2dc1e/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..e32b729b32642cbc9b4332c7f99abfe787cedd1d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9a62b46e99f2dc1e/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_9a62b46e99f2dc1e", + "api_calls": 0, + "input_tokens": 15059, + "cached_input_tokens": 12032, + "output_tokens": 698, + "total_tokens": 15757, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13212.32, + "sql_execution_elapsed_ms_total": 35.19, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9a62b46e99f2dc1e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9a62b46e99f2dc1e/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9a62b46e99f2dc1e/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..bbf5c9c7b060ffb6c5972a7d19aecd9603385bf3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9a62b46e99f2dc1e/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": "2026-05-19T15:34:50.231345+00:00", + "ended_at": "2026-05-19T15:35:03.443703+00:00", + "elapsed_ms": 13212.32, + "prompt_metrics": { + "chars": 9798, + "bytes_utf8": 9798, + "lines": 302, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 989, + "bytes_utf8": 989, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 605, + "bytes_utf8": 605, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15059, + "cached_input_tokens": 12032, + "output_tokens": 698, + "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_a/n9/artifacts/v2q_n9_9a62b46e99f2dc1e/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9a62b46e99f2dc1e/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9a465645f8f1d31ed0c844082081563666644615 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9a62b46e99f2dc1e/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,302 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=feature_9, measure_col=feature_10.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "feature_9", + "measure_col": "feature_10", + "item_col": "feature_11", + "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": 54.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_9a62b46e99f2dc1e/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9a62b46e99f2dc1e/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..89ae0cf8aafd93f63a652905fb48775992d5c950 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9a62b46e99f2dc1e/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e0-1f7f-7490-8366-6dfd7fe36571"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"feature_9\\\",\\n \\\"feature_11\\\",\\n SUM(CAST(\\\"feature_10\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"feature_10\\\" AS REAL)) * 100.0\\n / SUM(SUM(CAST(\\\"feature_10\\\" AS REAL))) OVER (PARTITION BY \\\"feature_9\\\") AS share_within_group\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_9\\\", \\\"feature_11\\\"\\nORDER BY share_within_group DESC\\nLIMIT 10;\",\"notes\":\"Uses the provided template with group_col=\\\"feature_9\\\", item_col=\\\"feature_11\\\", and measure_col=\\\"feature_10\\\". CAST is applied because the schema stores these numeric fields as TEXT in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15059,"cached_input_tokens":12032,"output_tokens":698,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9a62b46e99f2dc1e/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9a62b46e99f2dc1e/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..12fbcd2a7325313ced02c4773f8c7004acb44a8e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9a62b46e99f2dc1e/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"feature_9\",\n \"feature_11\",\n SUM(CAST(\"feature_10\" AS REAL)) AS total_measure,\n SUM(CAST(\"feature_10\" AS REAL)) * 100.0\n / SUM(SUM(CAST(\"feature_10\" AS REAL))) OVER (PARTITION BY \"feature_9\") AS share_within_group\nFROM \"n9\"\nGROUP BY \"feature_9\", \"feature_11\"\nORDER BY share_within_group DESC\nLIMIT 10;","notes":"Uses the provided template with group_col=\"feature_9\", item_col=\"feature_11\", and measure_col=\"feature_10\". CAST is applied because the schema stores these numeric fields as TEXT in SQLite."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9a62b46e99f2dc1e/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9a62b46e99f2dc1e/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9cb4a0a0192b45c0/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9cb4a0a0192b45c0/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0e2171516ffcbb72d82b92621fb28997914447d4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9cb4a0a0192b45c0/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9378, "bytes_utf8": 9378, "lines": 298, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "status": "failed", "error": "AI CLI command failed with exit code 1: "} +{"attempt": 2, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_2.txt", "metrics": {"chars": 9378, "bytes_utf8": 9378, "lines": 298, "estimated_tokens": null}} +{"attempt": 2, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_2.txt", "raw_content_path": "cli/sql_response_attempt_2.raw.txt", "stderr_path": "cli/sql_stderr_attempt_2.txt", "metrics": {"chars": 326, "bytes_utf8": 326, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14948, "cached_input_tokens": 13696, "output_tokens": 426, "reasoning_output_tokens": 325}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9cb4a0a0192b45c0/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9cb4a0a0192b45c0/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..60c12afbef2993c570b55302b3a3d8851dc7c857 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9cb4a0a0192b45c0/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_9cb4a0a0192b45c0", + "api_calls": 0, + "input_tokens": 14948, + "cached_input_tokens": 13696, + "output_tokens": 426, + "total_tokens": 15374, + "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": 13282.32, + "sql_execution_elapsed_ms_total": 6.39, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9cb4a0a0192b45c0/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9cb4a0a0192b45c0/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9cb4a0a0192b45c0/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b7cc575627bb69d98e698766104de86e86f05ba6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9cb4a0a0192b45c0/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:07:04.501311+00:00", + "ended_at": "2026-05-19T16:07:07.627858+00:00", + "elapsed_ms": 3126.51, + "returncode": 1, + "prompt_metrics": { + "chars": 9378, + "bytes_utf8": 9378, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9cb4a0a0192b45c0/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9cb4a0a0192b45c0/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..9125dbc2899e5c80ac56290708b46a88ea26fa11 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9cb4a0a0192b45c0/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": "2026-05-19T16:07:08.630937+00:00", + "ended_at": "2026-05-19T16:07:18.786799+00:00", + "elapsed_ms": 10155.81, + "prompt_metrics": { + "chars": 9378, + "bytes_utf8": 9378, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 687, + "bytes_utf8": 687, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 326, + "bytes_utf8": 326, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14948, + "cached_input_tokens": 13696, + "output_tokens": 426, + "reasoning_output_tokens": 325 + } + }, + "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_a/n9/artifacts/v2q_n9_9cb4a0a0192b45c0/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9cb4a0a0192b45c0/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..71054162804d04574b98cc411faffa4123b65779 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9cb4a0a0192b45c0/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=feature_7.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "feature_7", + "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": 47.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\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_a/n9/artifacts/v2q_n9_9cb4a0a0192b45c0/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9cb4a0a0192b45c0/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..71054162804d04574b98cc411faffa4123b65779 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9cb4a0a0192b45c0/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=feature_7.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "feature_7", + "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": 47.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\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_a/n9/artifacts/v2q_n9_9cb4a0a0192b45c0/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9cb4a0a0192b45c0/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..086da9b78d29b8876e600eaa6933dd5de85ff6b3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9cb4a0a0192b45c0/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-a32f-7141-8292-e5084f0529f2"} +{"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_a/n9/artifacts/v2q_n9_9cb4a0a0192b45c0/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9cb4a0a0192b45c0/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4e4592e8047c8f5868575b38728cfdcd14457e38 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9cb4a0a0192b45c0/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-a32f-7141-8292-e5084f0529f2"} +{"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_a/n9/artifacts/v2q_n9_9cb4a0a0192b45c0/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9cb4a0a0192b45c0/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..31f50626d02c94678c7eda9da0ca0abbdd2e4bf5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9cb4a0a0192b45c0/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-b34e-7fb1-bed1-a3d2e0980241"} +{"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 \\\"feature_7\\\",\\n COUNT(*) AS \\\"support\\\"\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_7\\\"\\nORDER BY \\\"support\\\" ASC, \\\"feature_7\\\"\\nLIMIT 15;\",\"notes\":\"Uses the fixed Low-Support Group Count template with group_col bound to \\\"feature_7\\\" and top_k bound to 15.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14948,"cached_input_tokens":13696,"output_tokens":426,"reasoning_output_tokens":325}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9cb4a0a0192b45c0/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9cb4a0a0192b45c0/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..558f2e4435595d7736f1e6bf48d996b06bd65cb8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9cb4a0a0192b45c0/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n \"feature_7\",\n COUNT(*) AS \"support\"\nFROM \"n9\"\nGROUP BY \"feature_7\"\nORDER BY \"support\" ASC, \"feature_7\"\nLIMIT 15;","notes":"Uses the fixed Low-Support Group Count template with group_col bound to \"feature_7\" and top_k bound to 15."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9cb4a0a0192b45c0/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9cb4a0a0192b45c0/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9cb4a0a0192b45c0/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9cb4a0a0192b45c0/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9e6f038061c97750/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9e6f038061c97750/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a362639a0e55371feeb5e54c5c2804a30b3d0170 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9e6f038061c97750/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9568, "bytes_utf8": 9568, "lines": 300, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 1027, "bytes_utf8": 1027, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14978, "cached_input_tokens": 13696, "output_tokens": 831, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9e6f038061c97750/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9e6f038061c97750/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..81651bb851c5b8e23390371f1a485c9b3901fabc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9e6f038061c97750/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_9e6f038061c97750", + "api_calls": 0, + "input_tokens": 14978, + "cached_input_tokens": 13696, + "output_tokens": 831, + "total_tokens": 15809, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 21279.85, + "sql_execution_elapsed_ms_total": 33.94, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9e6f038061c97750/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9e6f038061c97750/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9e6f038061c97750/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6f5b631b655109acfb60d7d926e931396bc5c476 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9e6f038061c97750/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": "2026-05-19T15:52:07.015752+00:00", + "ended_at": "2026-05-19T15:52:28.295624+00:00", + "elapsed_ms": 21279.85, + "prompt_metrics": { + "chars": 9568, + "bytes_utf8": 9568, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1822, + "bytes_utf8": 1822, + "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": 1027, + "bytes_utf8": 1027, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14978, + "cached_input_tokens": 13696, + "output_tokens": 831, + "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_a/n9/artifacts/v2q_n9_9e6f038061c97750/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9e6f038061c97750/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a4c2290297be79423fe390414abf736a7e4557e4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9e6f038061c97750/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=feature_2, measure_col=feature_7.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "feature_2", + "measure_col": "feature_7", + "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": 74.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_9e6f038061c97750/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9e6f038061c97750/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..edb64b7b3b433c9390a7c357bb923d043ae69142 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9e6f038061c97750/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,5 @@ +{"type":"thread.started","thread_id":"019e40ef-f19b-7e20-bc25-d26f36aac6aa"} +{"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 1997760, Requested 15613. Please try again in 401ms. 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_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"feature_2\\\",\\n CAST(\\\"feature_7\\\" AS REAL) AS \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"feature_2\\\"\\n ORDER BY CAST(\\\"feature_7\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"feature_2\\\") AS \\\"cnt\\\"\\n FROM \\\"n9\\\"\\n WHERE \\\"feature_2\\\" IS NOT NULL\\n AND \\\"feature_7\\\" IS NOT NULL\\n),\\n\\\"thresholded\\\" AS (\\n SELECT\\n \\\"feature_2\\\",\\n \\\"measure_value\\\",\\n \\\"rn\\\",\\n CAST(((95 * \\\"cnt\\\") + 99) / 100 AS INTEGER) AS \\\"target_rn\\\"\\n FROM \\\"ranked\\\"\\n)\\nSELECT\\n \\\"feature_2\\\",\\n MIN(\\\"measure_value\\\") AS \\\"percentile_measure\\\"\\nFROM \\\"thresholded\\\"\\nWHERE \\\"rn\\\" >= \\\"target_rn\\\"\\nGROUP BY \\\"feature_2\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this emulates the 0.95 percentile per feature_2 group by ranking CAST(feature_7 AS REAL) values and selecting the smallest value at or above rank ceil(0.95 * group_size).\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14978,"cached_input_tokens":13696,"output_tokens":831,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9e6f038061c97750/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9e6f038061c97750/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1d3e48325a86be4c77d363ca35d828e650db2ebc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9e6f038061c97750/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n \"feature_2\",\n CAST(\"feature_7\" AS REAL) AS \"measure_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"feature_2\"\n ORDER BY CAST(\"feature_7\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (PARTITION BY \"feature_2\") AS \"cnt\"\n FROM \"n9\"\n WHERE \"feature_2\" IS NOT NULL\n AND \"feature_7\" IS NOT NULL\n),\n\"thresholded\" AS (\n SELECT\n \"feature_2\",\n \"measure_value\",\n \"rn\",\n CAST(((95 * \"cnt\") + 99) / 100 AS INTEGER) AS \"target_rn\"\n FROM \"ranked\"\n)\nSELECT\n \"feature_2\",\n MIN(\"measure_value\") AS \"percentile_measure\"\nFROM \"thresholded\"\nWHERE \"rn\" >= \"target_rn\"\nGROUP BY \"feature_2\"\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite does not support PERCENTILE_CONT, so this emulates the 0.95 percentile per feature_2 group by ranking CAST(feature_7 AS REAL) values and selecting the smallest value at or above rank ceil(0.95 * group_size)."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9e6f038061c97750/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9e6f038061c97750/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9f9eb99ee7644eed/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9f9eb99ee7644eed/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0c81860969eb361349db4ca2e9f3c1530370da0d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9f9eb99ee7644eed/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9379, "bytes_utf8": 9379, "lines": 298, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 318, "bytes_utf8": 318, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14947, "cached_input_tokens": 12032, "output_tokens": 288, "reasoning_output_tokens": 188}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9f9eb99ee7644eed/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9f9eb99ee7644eed/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..b91d6092dd7d9929e8e4f5bd04b1cea200842906 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9f9eb99ee7644eed/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_9f9eb99ee7644eed", + "api_calls": 0, + "input_tokens": 14947, + "cached_input_tokens": 12032, + "output_tokens": 288, + "total_tokens": 15235, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 7931.0, + "sql_execution_elapsed_ms_total": 4.82, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9f9eb99ee7644eed/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9f9eb99ee7644eed/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9f9eb99ee7644eed/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..abf775260d4602131d5d0820bb135c8dd874ec77 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9f9eb99ee7644eed/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:07:26.161037+00:00", + "ended_at": "2026-05-19T16:07:34.092067+00:00", + "elapsed_ms": 7931.0, + "prompt_metrics": { + "chars": 9379, + "bytes_utf8": 9379, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 679, + "bytes_utf8": 679, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 318, + "bytes_utf8": 318, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14947, + "cached_input_tokens": 12032, + "output_tokens": 288, + "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_a/n9/artifacts/v2q_n9_9f9eb99ee7644eed/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9f9eb99ee7644eed/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5eeda451a510e9a6bb7210da3c8b3eaebb87c20a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9f9eb99ee7644eed/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role count_distribution. Focus on group_col=feature_8.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "feature_8", + "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": 100.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_9f9eb99ee7644eed/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9f9eb99ee7644eed/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e4f40a2bc9c9629c2419fa5b5088800d98c2ad5f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9f9eb99ee7644eed/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-f7d2-7312-9806-f1e7279b7d1e"} +{"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 \\\"feature_8\\\",\\n COUNT(*) AS \\\"support\\\"\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_8\\\"\\nORDER BY \\\"support\\\" ASC, \\\"feature_8\\\"\\nLIMIT 16;\",\"notes\":\"Uses the Low-Support Group Count template with group_col bound to \\\"feature_8\\\" and top_k set to 16.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14947,"cached_input_tokens":12032,"output_tokens":288,"reasoning_output_tokens":188}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9f9eb99ee7644eed/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9f9eb99ee7644eed/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..79027df09c44b811a2dc82bb110c28269d7b5f58 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9f9eb99ee7644eed/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n \"feature_8\",\n COUNT(*) AS \"support\"\nFROM \"n9\"\nGROUP BY \"feature_8\"\nORDER BY \"support\" ASC, \"feature_8\"\nLIMIT 16;","notes":"Uses the Low-Support Group Count template with group_col bound to \"feature_8\" and top_k set to 16."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9f9eb99ee7644eed/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9f9eb99ee7644eed/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a23b19dfa3304199/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a23b19dfa3304199/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f6bb90f23b80a5a756c908cb535662654cd63519 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a23b19dfa3304199/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9570, "bytes_utf8": 9570, "lines": 300, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 876, "bytes_utf8": 876, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14978, "cached_input_tokens": 13696, "output_tokens": 784, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a23b19dfa3304199/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a23b19dfa3304199/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..dc463990baf42933ef0b5a60ac3e960750581999 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a23b19dfa3304199/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_a23b19dfa3304199", + "api_calls": 0, + "input_tokens": 14978, + "cached_input_tokens": 13696, + "output_tokens": 784, + "total_tokens": 15762, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14698.66, + "sql_execution_elapsed_ms_total": 35.89, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a23b19dfa3304199/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a23b19dfa3304199/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a23b19dfa3304199/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6e6b831e6caeb698758e0bd2e34b4e8d55345d21 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a23b19dfa3304199/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:51:52.276166+00:00", + "ended_at": "2026-05-19T15:52:06.974862+00:00", + "elapsed_ms": 14698.66, + "prompt_metrics": { + "chars": 9570, + "bytes_utf8": 9570, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1311, + "bytes_utf8": 1311, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 876, + "bytes_utf8": 876, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14978, + "cached_input_tokens": 13696, + "output_tokens": 784, + "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_a/n9/artifacts/v2q_n9_a23b19dfa3304199/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a23b19dfa3304199/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2821bd5bd6c4c9b62f1c3c98c84bb58710e82a31 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a23b19dfa3304199/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=feature_1, measure_col=feature_6.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "feature_1", + "measure_col": "feature_6", + "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": 80.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_a23b19dfa3304199/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a23b19dfa3304199/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..83ef25a86ff720a200d53a4466f29cda405c0ef9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a23b19dfa3304199/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ef-b7e3-7cb1-ba43-28354bacf422"} +{"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 \\\"feature_1\\\",\\n CAST(\\\"feature_6\\\" AS REAL) AS \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"feature_1\\\"\\n ORDER BY CAST(\\\"feature_6\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"feature_1\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"n9\\\"\\n),\\n\\\"percentile_points\\\" AS (\\n SELECT\\n \\\"feature_1\\\",\\n \\\"measure_value\\\" AS \\\"percentile_measure\\\"\\n FROM \\\"ranked\\\"\\n WHERE \\\"rn\\\" = CAST(((95 * \\\"cnt\\\") + 99) / 100 AS INTEGER)\\n)\\nSELECT\\n \\\"feature_1\\\",\\n \\\"percentile_measure\\\"\\nFROM \\\"percentile_points\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite has no PERCENTILE_CONT, so this emulates the 95th percentile per feature_1 group by selecting the value at rank ceil(0.95 * group_size) after ordering feature_6 numerically.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14978,"cached_input_tokens":13696,"output_tokens":784,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a23b19dfa3304199/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a23b19dfa3304199/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..109d4e961a24540a4462a6f18d3bbcbb8fb5568b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a23b19dfa3304199/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n \"feature_1\",\n CAST(\"feature_6\" AS REAL) AS \"measure_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"feature_1\"\n ORDER BY CAST(\"feature_6\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"feature_1\"\n ) AS \"cnt\"\n FROM \"n9\"\n),\n\"percentile_points\" AS (\n SELECT\n \"feature_1\",\n \"measure_value\" AS \"percentile_measure\"\n FROM \"ranked\"\n WHERE \"rn\" = CAST(((95 * \"cnt\") + 99) / 100 AS INTEGER)\n)\nSELECT\n \"feature_1\",\n \"percentile_measure\"\nFROM \"percentile_points\"\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite has no PERCENTILE_CONT, so this emulates the 95th percentile per feature_1 group by selecting the value at rank ceil(0.95 * group_size) after ordering feature_6 numerically."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a23b19dfa3304199/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a23b19dfa3304199/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a26c3695d5882b4b/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a26c3695d5882b4b/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..84fca0eb048aa216acfa7e5400eb236a1c7a3cca --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a26c3695d5882b4b/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:08:31.226778+00:00", + "ended_at": "2026-05-19T16:08:34.636244+00:00", + "elapsed_ms": 3409.44, + "returncode": 1, + "prompt_metrics": { + "chars": 9476, + "bytes_utf8": 9476, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a26c3695d5882b4b/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a26c3695d5882b4b/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..98002dbb8a0ab68b5189862081a74fc6c7bc261e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a26c3695d5882b4b/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:08:35.638876+00:00", + "ended_at": "2026-05-19T16:08:38.538040+00:00", + "elapsed_ms": 2899.12, + "returncode": 1, + "prompt_metrics": { + "chars": 9476, + "bytes_utf8": 9476, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a26c3695d5882b4b/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a26c3695d5882b4b/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1116121dd4984833ee01f9753a71fac39fbe327e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a26c3695d5882b4b/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=feature_16, measure_col=feature_7.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "feature_16", + "measure_col": "feature_7", + "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": 67.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_a26c3695d5882b4b/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a26c3695d5882b4b/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..1116121dd4984833ee01f9753a71fac39fbe327e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a26c3695d5882b4b/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=feature_16, measure_col=feature_7.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "feature_16", + "measure_col": "feature_7", + "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": 67.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_a26c3695d5882b4b/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a26c3695d5882b4b/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5687c6725806c6736967f3e43441c3eabcc63797 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a26c3695d5882b4b/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-f5f4-7e92-890d-4b692a86e1b2"} +{"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_a/n9/artifacts/v2q_n9_a26c3695d5882b4b/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a26c3695d5882b4b/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7fa226dd21d939eb254ab42ee0d3ad23599b03b9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a26c3695d5882b4b/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-f5f4-7e92-890d-4b692a86e1b2"} +{"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_a/n9/artifacts/v2q_n9_a26c3695d5882b4b/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a26c3695d5882b4b/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b18a744ae0c7b7d3286cd9a82e252d33b9e1ed07 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a26c3695d5882b4b/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-0751-7991-ac4a-099d565bb146"} +{"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_a/n9/artifacts/v2q_n9_a26c3695d5882b4b/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a26c3695d5882b4b/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..1e575e727bf388e8b54ad4d313cf7974d9ca8ea4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a26c3695d5882b4b/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-0751-7991-ac4a-099d565bb146"} +{"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_a/n9/artifacts/v2q_n9_a26c3695d5882b4b/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a26c3695d5882b4b/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a26c3695d5882b4b/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a26c3695d5882b4b/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a4eb6e2a5fe880c8/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a4eb6e2a5fe880c8/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a370d582ddf7a3aaa830a098fdfa6b7fc891353e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a4eb6e2a5fe880c8/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:52:28.334423+00:00", + "ended_at": "2026-05-19T15:52:31.878693+00:00", + "elapsed_ms": 3544.25, + "returncode": 1, + "prompt_metrics": { + "chars": 9568, + "bytes_utf8": 9568, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a4eb6e2a5fe880c8/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a4eb6e2a5fe880c8/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c0899e74b89ed08cff770720e9c1d29a28cd8922 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a4eb6e2a5fe880c8/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:52:32.880873+00:00", + "ended_at": "2026-05-19T15:52:36.190250+00:00", + "elapsed_ms": 3309.33, + "returncode": 1, + "prompt_metrics": { + "chars": 9568, + "bytes_utf8": 9568, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a4eb6e2a5fe880c8/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a4eb6e2a5fe880c8/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a61ce6b8b1fe711cf4d29053ab13db6d1d848c9e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a4eb6e2a5fe880c8/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=feature_2, measure_col=feature_7.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "feature_2", + "measure_col": "feature_7", + "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": 67.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_a4eb6e2a5fe880c8/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a4eb6e2a5fe880c8/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..a61ce6b8b1fe711cf4d29053ab13db6d1d848c9e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a4eb6e2a5fe880c8/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=feature_2, measure_col=feature_7.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "feature_2", + "measure_col": "feature_7", + "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": 67.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_a4eb6e2a5fe880c8/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a4eb6e2a5fe880c8/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..63d9ea11705653548ca523e9d78032930a67f6a4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a4eb6e2a5fe880c8/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f0-44c4-7a91-b9da-1edbce3b2573"} +{"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_a/n9/artifacts/v2q_n9_a4eb6e2a5fe880c8/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a4eb6e2a5fe880c8/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a8585c4f07890fa8cbe0d8e40454ad89026ac2d9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a4eb6e2a5fe880c8/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f0-44c4-7a91-b9da-1edbce3b2573"} +{"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_a/n9/artifacts/v2q_n9_a4eb6e2a5fe880c8/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a4eb6e2a5fe880c8/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c4deab3507cd825bcf087f28ac5fa1c1e01c71de --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a4eb6e2a5fe880c8/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f0-5689-7853-b3a5-b7eb21d30cbf"} +{"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_a/n9/artifacts/v2q_n9_a4eb6e2a5fe880c8/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a4eb6e2a5fe880c8/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..1a8acfd8a6f5837122e54e5ddfb47f6f24b376dd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a4eb6e2a5fe880c8/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f0-5689-7853-b3a5-b7eb21d30cbf"} +{"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_a/n9/artifacts/v2q_n9_a4eb6e2a5fe880c8/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a4eb6e2a5fe880c8/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a4eb6e2a5fe880c8/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a4eb6e2a5fe880c8/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a5b87ec462d5b0c3/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a5b87ec462d5b0c3/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a932ae8b0cf80137625db9f09725289e8d4905c1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a5b87ec462d5b0c3/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": "2026-05-19T16:02:13.146257+00:00", + "ended_at": "2026-05-19T16:02:22.822100+00:00", + "elapsed_ms": 9675.81, + "prompt_metrics": { + "chars": 9627, + "bytes_utf8": 9627, + "lines": 303, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 794, + "bytes_utf8": 794, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 431, + "bytes_utf8": 431, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14998, + "cached_input_tokens": 12032, + "output_tokens": 310, + "reasoning_output_tokens": 191 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a5b87ec462d5b0c3/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a5b87ec462d5b0c3/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..305c9fc35c2ce9064ec9835185c76c4281f242f5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a5b87ec462d5b0c3/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,303 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=feature_15, condition_col=class.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "feature_15", + "condition_col": "class", + "condition_value": "4", + "positive_value": "2", + "negative_value": "4", + "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": 100.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_a5b87ec462d5b0c3/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a5b87ec462d5b0c3/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..844dda4b92030ce611249c44728883677d06aa83 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a5b87ec462d5b0c3/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-311f-7411-8201-8da7d7905ce8"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"feature_15\\\",\\n AVG(CASE WHEN \\\"class\\\" = '4' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_15\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Uses the required Grouped Condition Rate template with group_col bound to \\\"feature_15\\\" and condition_col bound to \\\"class\\\", measuring the within-group proportion of rows where class = '4'.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14998,"cached_input_tokens":12032,"output_tokens":310,"reasoning_output_tokens":191}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a5b87ec462d5b0c3/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a5b87ec462d5b0c3/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a7d1ea22b39647cc/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a7d1ea22b39647cc/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8f2df3eec322aa4426b0a67f38c1ae64d8a12d1f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a7d1ea22b39647cc/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9390, "bytes_utf8": 9390, "lines": 300, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 365, "bytes_utf8": 365, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14940, "cached_input_tokens": 4480, "output_tokens": 453, "reasoning_output_tokens": 351}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a7d1ea22b39647cc/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a7d1ea22b39647cc/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..7db3a8dd2a9fac8c1a317c21108cee3c545452e1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a7d1ea22b39647cc/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_a7d1ea22b39647cc", + "api_calls": 0, + "input_tokens": 14940, + "cached_input_tokens": 4480, + "output_tokens": 453, + "total_tokens": 15393, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10571.84, + "sql_execution_elapsed_ms_total": 11.79, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a7d1ea22b39647cc/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a7d1ea22b39647cc/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a7d1ea22b39647cc/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b40b600f43ce6a62091c3741a834a429e6f0e89f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a7d1ea22b39647cc/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:28:29.099289+00:00", + "ended_at": "2026-05-19T15:28:39.671162+00:00", + "elapsed_ms": 10571.84, + "prompt_metrics": { + "chars": 9390, + "bytes_utf8": 9390, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 722, + "bytes_utf8": 722, + "lines": 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": 14940, + "cached_input_tokens": 4480, + "output_tokens": 453, + "reasoning_output_tokens": 351 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a7d1ea22b39647cc/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a7d1ea22b39647cc/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..159abd2659eccf4588d3261029df1e2631e149ce --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a7d1ea22b39647cc/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=feature_1, measure_col=feature_1.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "feature_1", + "measure_col": "feature_1", + "top_k": 15, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 50.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_a7d1ea22b39647cc/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a7d1ea22b39647cc/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..97a26c9040b9d5f9e9d469585f609900dc233800 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a7d1ea22b39647cc/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40da-4eb8-7e60-a5cd-67b9778eb494"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"feature_1\\\", SUM(CAST(\\\"feature_1\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_1\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Used the required grouped-sum template with both group and measure bound to \\\"feature_1\\\". CAST was added because the schema stores numeric-looking values as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14940,"cached_input_tokens":4480,"output_tokens":453,"reasoning_output_tokens":351}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a7d1ea22b39647cc/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a7d1ea22b39647cc/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9d0e83e59f4d62f5f8b63e12fe2725b63f911777 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a7d1ea22b39647cc/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"feature_1\", SUM(CAST(\"feature_1\" AS REAL)) AS \"total_measure\"\nFROM \"n9\"\nGROUP BY \"feature_1\"\nORDER BY \"total_measure\" DESC;","notes":"Used the required grouped-sum template with both group and measure bound to \"feature_1\". CAST was added because the schema stores numeric-looking values as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a7d1ea22b39647cc/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a7d1ea22b39647cc/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a8fb94c67f9f2158/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a8fb94c67f9f2158/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e4f5593dcb92028321149776008567ccbed2edb6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a8fb94c67f9f2158/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": "2026-05-19T16:09:24.975316+00:00", + "ended_at": "2026-05-19T16:09:27.997772+00:00", + "elapsed_ms": 3022.42, + "returncode": 1, + "prompt_metrics": { + "chars": 9477, + "bytes_utf8": 9477, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a8fb94c67f9f2158/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a8fb94c67f9f2158/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ea7008c53d5585b87b6229892debd6dde5cac75d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a8fb94c67f9f2158/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": "2026-05-19T16:09:28.999922+00:00", + "ended_at": "2026-05-19T16:09:32.309623+00:00", + "elapsed_ms": 3309.66, + "returncode": 1, + "prompt_metrics": { + "chars": 9477, + "bytes_utf8": 9477, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a8fb94c67f9f2158/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a8fb94c67f9f2158/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0413c0c9fc7eaa40b360788db5e6ad519a9e01e6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a8fb94c67f9f2158/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=feature_2, measure_col=feature_10.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "feature_2", + "measure_col": "feature_10", + "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": 45.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_a8fb94c67f9f2158/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a8fb94c67f9f2158/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..0413c0c9fc7eaa40b360788db5e6ad519a9e01e6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a8fb94c67f9f2158/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=feature_2, measure_col=feature_10.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "feature_2", + "measure_col": "feature_10", + "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": 45.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_a8fb94c67f9f2158/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a8fb94c67f9f2158/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..733a428baa08e9655c4245df1634ebef2581bfe0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a8fb94c67f9f2158/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-c7ef-73c1-86ee-324757f48295"} +{"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_a/n9/artifacts/v2q_n9_a8fb94c67f9f2158/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a8fb94c67f9f2158/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f44ba8aad92ebf9b2800ec2125888f8a66cc8a19 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a8fb94c67f9f2158/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-c7ef-73c1-86ee-324757f48295"} +{"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_a/n9/artifacts/v2q_n9_a8fb94c67f9f2158/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a8fb94c67f9f2158/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..98958250de36b3cca06cc3ecf52da62f4c785f66 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a8fb94c67f9f2158/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-d7ac-7dc1-98e1-51a197136794"} +{"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_a/n9/artifacts/v2q_n9_a8fb94c67f9f2158/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a8fb94c67f9f2158/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..a947cc44bd9337991e21415883d319b6f92f2045 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a8fb94c67f9f2158/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-d7ac-7dc1-98e1-51a197136794"} +{"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_a/n9/artifacts/v2q_n9_a8fb94c67f9f2158/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a8fb94c67f9f2158/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a8fb94c67f9f2158/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a8fb94c67f9f2158/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_aa1696acb1ae8c33/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_aa1696acb1ae8c33/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..18f5bee6c7423db4eca37c48ab56e1a4efdb0bbe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_aa1696acb1ae8c33/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:08:17.722242+00:00", + "ended_at": "2026-05-19T16:08:20.904228+00:00", + "elapsed_ms": 3181.96, + "returncode": 1, + "prompt_metrics": { + "chars": 9477, + "bytes_utf8": 9477, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_aa1696acb1ae8c33/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_aa1696acb1ae8c33/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..688072a090c957ddda4d3607383153659b460108 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_aa1696acb1ae8c33/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:08:21.906113+00:00", + "ended_at": "2026-05-19T16:08:24.918340+00:00", + "elapsed_ms": 3012.2, + "returncode": 1, + "prompt_metrics": { + "chars": 9477, + "bytes_utf8": 9477, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_aa1696acb1ae8c33/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_aa1696acb1ae8c33/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..48749f34dcff727d2516a6b30f98f11ac5787f64 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_aa1696acb1ae8c33/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=feature_15, measure_col=feature_6.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "feature_15", + "measure_col": "feature_6", + "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": 80.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_aa1696acb1ae8c33/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_aa1696acb1ae8c33/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..48749f34dcff727d2516a6b30f98f11ac5787f64 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_aa1696acb1ae8c33/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=feature_15, measure_col=feature_6.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "feature_15", + "measure_col": "feature_6", + "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": 80.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_aa1696acb1ae8c33/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_aa1696acb1ae8c33/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..dfdc16c89976419da0560093c23439eb51ed2a99 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_aa1696acb1ae8c33/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-c13d-7870-9074-c6e28b14ea20"} +{"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_a/n9/artifacts/v2q_n9_aa1696acb1ae8c33/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_aa1696acb1ae8c33/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9edc3caf0171956469251959018b629be3f7adab --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_aa1696acb1ae8c33/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-c13d-7870-9074-c6e28b14ea20"} +{"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_a/n9/artifacts/v2q_n9_aa1696acb1ae8c33/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_aa1696acb1ae8c33/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..1568254e67399825d0098ddbe97acb1f2d428e7a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_aa1696acb1ae8c33/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-d187-7b71-8ca2-baa9b6de9e0c"} +{"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_a/n9/artifacts/v2q_n9_aa1696acb1ae8c33/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_aa1696acb1ae8c33/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..a57a211444318ef51cf275f6fd7665ba22702096 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_aa1696acb1ae8c33/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-d187-7b71-8ca2-baa9b6de9e0c"} +{"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_a/n9/artifacts/v2q_n9_aa1696acb1ae8c33/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_aa1696acb1ae8c33/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_aa1696acb1ae8c33/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_aa1696acb1ae8c33/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_afe7268b45844569/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_afe7268b45844569/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d9cc159e3453471f33158866441f9ec49ff4ce27 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_afe7268b45844569/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10188, "bytes_utf8": 10188, "lines": 303, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 664, "bytes_utf8": 664, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15145, "cached_input_tokens": 14720, "output_tokens": 348, "reasoning_output_tokens": 165}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_afe7268b45844569/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_afe7268b45844569/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..d942fbea64f31c4f0290fd14f14bd12457267ab7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_afe7268b45844569/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_afe7268b45844569", + "api_calls": 0, + "input_tokens": 15145, + "cached_input_tokens": 14720, + "output_tokens": 348, + "total_tokens": 15493, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9592.87, + "sql_execution_elapsed_ms_total": 6.23, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_afe7268b45844569/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_afe7268b45844569/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_afe7268b45844569/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..8c6d256cef72c86e1105e2e062b0ea6af8309f6b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_afe7268b45844569/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": "2026-05-19T15:41:14.559626+00:00", + "ended_at": "2026-05-19T15:41:24.152528+00:00", + "elapsed_ms": 9592.87, + "prompt_metrics": { + "chars": 10188, + "bytes_utf8": 10188, + "lines": 303, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1033, + "bytes_utf8": 1033, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 664, + "bytes_utf8": 664, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15145, + "cached_input_tokens": 14720, + "output_tokens": 348, + "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_a/n9/artifacts/v2q_n9_afe7268b45844569/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_afe7268b45844569/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3b22b76b34cccf5ecf22a0bb3a9c7d18827701f6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_afe7268b45844569/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,303 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=feature_10, condition_col=class.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "feature_10", + "condition_col": "class", + "condition_value": "2", + "positive_value": "2", + "negative_value": "4", + "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": 55.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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_a/n9/artifacts/v2q_n9_afe7268b45844569/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_afe7268b45844569/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..643c498a93989ca8eb06a4b918eca179f13c3ec2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_afe7268b45844569/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e5-fcd6-7482-a924-feaf12171ae9"} +{"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 \\\"feature_10\\\",\\n SUM(CASE WHEN \\\"class\\\" = '2' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"class\\\" = '4' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"n9\\\"\\n GROUP BY \\\"feature_10\\\"\\n)\\nSELECT \\\"feature_10\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Used the required grouped ratio template with group_col bound to \\\"feature_10\\\" and condition_col bound to \\\"class\\\", comparing class '2' to class '4' in SQLite-compatible SQL.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15145,"cached_input_tokens":14720,"output_tokens":348,"reasoning_output_tokens":165}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_afe7268b45844569/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_afe7268b45844569/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..37eb4222f839089f1bbd3379c477d2c0835a1fe1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_afe7268b45844569/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT \"feature_10\",\n SUM(CASE WHEN \"class\" = '2' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"class\" = '4' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"n9\"\n GROUP BY \"feature_10\"\n)\nSELECT \"feature_10\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;","notes":"Used the required grouped ratio template with group_col bound to \"feature_10\" and condition_col bound to \"class\", comparing class '2' to class '4' in SQLite-compatible SQL."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_afe7268b45844569/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_afe7268b45844569/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4b5dd5e9a74aa20/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4b5dd5e9a74aa20/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..19075c12e5bc68327d4d491feedea15478fd5051 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4b5dd5e9a74aa20/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9609, "bytes_utf8": 9609, "lines": 303, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "status": "failed", "error": "AI CLI command failed with exit code 1: "} +{"attempt": 2, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_2.txt", "metrics": {"chars": 9609, "bytes_utf8": 9609, "lines": 303, "estimated_tokens": null}} +{"attempt": 2, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_2.txt", "raw_content_path": "cli/sql_response_attempt_2.raw.txt", "stderr_path": "cli/sql_stderr_attempt_2.txt", "metrics": {"chars": 483, "bytes_utf8": 483, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14993, "cached_input_tokens": 12032, "output_tokens": 318, "reasoning_output_tokens": 188}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4b5dd5e9a74aa20/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4b5dd5e9a74aa20/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..4d7c42d62b50da51ccd5beb70bc21b0a86538a17 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4b5dd5e9a74aa20/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_b4b5dd5e9a74aa20", + "api_calls": 0, + "input_tokens": 14993, + "cached_input_tokens": 12032, + "output_tokens": 318, + "total_tokens": 15311, + "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": 11209.83, + "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_a/n9/artifacts/v2q_n9_b4b5dd5e9a74aa20/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4b5dd5e9a74aa20/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4b5dd5e9a74aa20/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b53797a379167b0f271b0550e43bae5f5f427d5f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4b5dd5e9a74aa20/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:02:44.845215+00:00", + "ended_at": "2026-05-19T16:02:47.897827+00:00", + "elapsed_ms": 3052.59, + "returncode": 1, + "prompt_metrics": { + "chars": 9609, + "bytes_utf8": 9609, + "lines": 303, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4b5dd5e9a74aa20/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4b5dd5e9a74aa20/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..83f92a632153dc67e56abd6364e2233257ccc90c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4b5dd5e9a74aa20/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": "2026-05-19T16:02:48.899403+00:00", + "ended_at": "2026-05-19T16:02:57.056678+00:00", + "elapsed_ms": 8157.24, + "prompt_metrics": { + "chars": 9609, + "bytes_utf8": 9609, + "lines": 303, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 834, + "bytes_utf8": 834, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 483, + "bytes_utf8": 483, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14993, + "cached_input_tokens": 12032, + "output_tokens": 318, + "reasoning_output_tokens": 188 + } + }, + "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_a/n9/artifacts/v2q_n9_b4b5dd5e9a74aa20/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4b5dd5e9a74aa20/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5c5d52911b8fe0da269ed45f6e45feb7ddddc31b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4b5dd5e9a74aa20/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,303 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=class, condition_col=class.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "class", + "condition_col": "class", + "condition_value": "2", + "positive_value": "2", + "negative_value": "4", + "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": 86.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_b4b5dd5e9a74aa20/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4b5dd5e9a74aa20/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..5c5d52911b8fe0da269ed45f6e45feb7ddddc31b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4b5dd5e9a74aa20/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,303 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=class, condition_col=class.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "class", + "condition_col": "class", + "condition_value": "2", + "positive_value": "2", + "negative_value": "4", + "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": 86.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_b4b5dd5e9a74aa20/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4b5dd5e9a74aa20/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..3958a0b8da0ef08b1d416260de5462733edc7894 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4b5dd5e9a74aa20/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-acff-7d93-8854-2412e45fef2b"} +{"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_a/n9/artifacts/v2q_n9_b4b5dd5e9a74aa20/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4b5dd5e9a74aa20/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..98d3c5f274bbcc7b4ba1b5460b19355312afc88c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4b5dd5e9a74aa20/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-acff-7d93-8854-2412e45fef2b"} +{"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_a/n9/artifacts/v2q_n9_b4b5dd5e9a74aa20/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4b5dd5e9a74aa20/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..cb51a9e9124bd3b5d03f0afc3e99621124a73848 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4b5dd5e9a74aa20/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-bce9-7830-bf48-ee3279ffd454"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"class\\\",\\n AVG(CASE WHEN \\\"class\\\" = '2' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"n9\\\"\\nGROUP BY \\\"class\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Applied the provided Grouped Condition Rate template with both group_col and condition_col bound to \\\"class\\\" and condition_value set to '2'. Because the grouping column matches the condition column, the rate will be 1.0 for class '2' and 0.0 for other classes.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14993,"cached_input_tokens":12032,"output_tokens":318,"reasoning_output_tokens":188}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4b5dd5e9a74aa20/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4b5dd5e9a74aa20/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..b68876b87ec45cc3a93adb4ac0eb8b2c575e884c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4b5dd5e9a74aa20/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"class\",\n AVG(CASE WHEN \"class\" = '2' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"n9\"\nGROUP BY \"class\"\nORDER BY condition_rate DESC;","notes":"Applied the provided Grouped Condition Rate template with both group_col and condition_col bound to \"class\" and condition_value set to '2'. Because the grouping column matches the condition column, the rate will be 1.0 for class '2' and 0.0 for other classes."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4b5dd5e9a74aa20/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4b5dd5e9a74aa20/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4b5dd5e9a74aa20/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4b5dd5e9a74aa20/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4e0cf02e50549ea/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4e0cf02e50549ea/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..44191da5ff280e5c8fa42b3233e3cee263a64bb1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4e0cf02e50549ea/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9943, "bytes_utf8": 9943, "lines": 300, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 620, "bytes_utf8": 620, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15076, "cached_input_tokens": 13696, "output_tokens": 468, "reasoning_output_tokens": 298}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4e0cf02e50549ea/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4e0cf02e50549ea/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..bf1b1784c0384a26cd86a2ad2564d4e54a6fa926 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4e0cf02e50549ea/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_b4e0cf02e50549ea", + "api_calls": 0, + "input_tokens": 15076, + "cached_input_tokens": 13696, + "output_tokens": 468, + "total_tokens": 15544, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 21077.74, + "sql_execution_elapsed_ms_total": 5.72, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4e0cf02e50549ea/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4e0cf02e50549ea/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4e0cf02e50549ea/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c6077cfc7851a054f68aef15e506a00c0bffa5e8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4e0cf02e50549ea/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": "2026-05-19T15:46:04.230614+00:00", + "ended_at": "2026-05-19T15:46:25.308379+00:00", + "elapsed_ms": 21077.74, + "prompt_metrics": { + "chars": 9943, + "bytes_utf8": 9943, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1986, + "bytes_utf8": 1986, + "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": 620, + "bytes_utf8": 620, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15076, + "cached_input_tokens": 13696, + "output_tokens": 468, + "reasoning_output_tokens": 298 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4e0cf02e50549ea/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4e0cf02e50549ea/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e32e25a13a29a131edfbd182c3e497da6193bc8c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4e0cf02e50549ea/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=feature_5, measure_col=feature_9.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "feature_5", + "measure_col": "feature_9", + "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": 89.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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_a/n9/artifacts/v2q_n9_b4e0cf02e50549ea/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4e0cf02e50549ea/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..fff50c4b948904215bd026700654813cab2d2a9a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4e0cf02e50549ea/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,7 @@ +{"type":"thread.started","thread_id":"019e40ea-6851-78b3-83ec-5be6274e720c"} +{"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 1992569, Requested 15711. Please try again in 248ms. 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 1995278, Requested 15711. Please try again in 329ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 4/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 15711. Please try again in 471ms. 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 \\\"feature_5\\\", SUM(CAST(\\\"feature_9\\\" AS REAL)) AS group_value\\n FROM \\\"n9\\\"\\n GROUP BY \\\"feature_5\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"feature_5\\\", 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 template with group_col=\\\"feature_5\\\" and measure_col=\\\"feature_9\\\". CAST to REAL is used because the schema stores numeric-looking fields as TEXT in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15076,"cached_input_tokens":13696,"output_tokens":468,"reasoning_output_tokens":298}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4e0cf02e50549ea/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4e0cf02e50549ea/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5d196322de9f57425c6e6775903cd05e1f9eda75 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4e0cf02e50549ea/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"feature_5\", SUM(CAST(\"feature_9\" AS REAL)) AS group_value\n FROM \"n9\"\n GROUP BY \"feature_5\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"feature_5\", 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 template with group_col=\"feature_5\" and measure_col=\"feature_9\". CAST to REAL is used because the schema stores numeric-looking fields as TEXT in SQLite."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4e0cf02e50549ea/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4e0cf02e50549ea/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bd47bbbc13b96c1a/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bd47bbbc13b96c1a/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..997306483dae1942d2b37efbda5a1b6efbbcc11f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bd47bbbc13b96c1a/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9800, "bytes_utf8": 9800, "lines": 302, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 625, "bytes_utf8": 625, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15059, "cached_input_tokens": 13696, "output_tokens": 701, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bd47bbbc13b96c1a/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bd47bbbc13b96c1a/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..f07496581862eb935bbf25ad5c5cdfb2e545ffa6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bd47bbbc13b96c1a/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_bd47bbbc13b96c1a", + "api_calls": 0, + "input_tokens": 15059, + "cached_input_tokens": 13696, + "output_tokens": 701, + "total_tokens": 15760, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13148.9, + "sql_execution_elapsed_ms_total": 16.26, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bd47bbbc13b96c1a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bd47bbbc13b96c1a/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bd47bbbc13b96c1a/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ab0d309424f57d5e5cf8dd9f04fae26fe6df7179 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bd47bbbc13b96c1a/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": "2026-05-19T15:35:58.405629+00:00", + "ended_at": "2026-05-19T15:36:11.554552+00:00", + "elapsed_ms": 13148.9, + "prompt_metrics": { + "chars": 9800, + "bytes_utf8": 9800, + "lines": 302, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1008, + "bytes_utf8": 1008, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 625, + "bytes_utf8": 625, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15059, + "cached_input_tokens": 13696, + "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_a/n9/artifacts/v2q_n9_bd47bbbc13b96c1a/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bd47bbbc13b96c1a/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..86b19308449dfb2ee7940ff5c5277e84f556f9d4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bd47bbbc13b96c1a/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,302 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=feature_11, measure_col=feature_12.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "feature_11", + "measure_col": "feature_12", + "item_col": "feature_13", + "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": 55.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_bd47bbbc13b96c1a/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bd47bbbc13b96c1a/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5bc26c71bdd2ddcc3f28919d0d985fa9c66d9d9c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bd47bbbc13b96c1a/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e1-29c3-7c11-8b42-254b09e8591c"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"feature_11\\\",\\n \\\"feature_13\\\",\\n SUM(CAST(\\\"feature_12\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"feature_12\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"feature_12\\\" AS REAL))) OVER (PARTITION BY \\\"feature_11\\\") AS share_within_group\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_11\\\", \\\"feature_13\\\"\\nORDER BY share_within_group DESC\\nLIMIT 12;\",\"notes\":\"Used the planned Within-Group Share of Total template with bound roles: group_col=\\\"feature_11\\\", item_col=\\\"feature_13\\\", measure_col=\\\"feature_12\\\". CAST is applied because the schema stores feature columns as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15059,"cached_input_tokens":13696,"output_tokens":701,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bd47bbbc13b96c1a/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bd47bbbc13b96c1a/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..07b0741f1ad52d05208005770a25150186e47bee --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bd47bbbc13b96c1a/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"feature_11\",\n \"feature_13\",\n SUM(CAST(\"feature_12\" AS REAL)) AS total_measure,\n SUM(CAST(\"feature_12\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"feature_12\" AS REAL))) OVER (PARTITION BY \"feature_11\") AS share_within_group\nFROM \"n9\"\nGROUP BY \"feature_11\", \"feature_13\"\nORDER BY share_within_group DESC\nLIMIT 12;","notes":"Used the planned Within-Group Share of Total template with bound roles: group_col=\"feature_11\", item_col=\"feature_13\", measure_col=\"feature_12\". CAST is applied because the schema stores feature columns as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bd47bbbc13b96c1a/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bd47bbbc13b96c1a/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bf3884ef1ab0617a/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bf3884ef1ab0617a/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8ec5418692cab257fa068c9cafb8e769aa1ed94c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bf3884ef1ab0617a/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9572, "bytes_utf8": 9572, "lines": 300, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 1748, "bytes_utf8": 1748, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14978, "cached_input_tokens": 12032, "output_tokens": 2662, "reasoning_output_tokens": 2070}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bf3884ef1ab0617a/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bf3884ef1ab0617a/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..077c8f87a8e229276d3ebbefc13debf90f183e13 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bf3884ef1ab0617a/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_bf3884ef1ab0617a", + "api_calls": 0, + "input_tokens": 14978, + "cached_input_tokens": 12032, + "output_tokens": 2662, + "total_tokens": 17640, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 38423.64, + "sql_execution_elapsed_ms_total": 47.88, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bf3884ef1ab0617a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bf3884ef1ab0617a/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bf3884ef1ab0617a/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..3dd943b1ec23a61a8a2deac4f8a8c9c43027af8d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bf3884ef1ab0617a/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:55:13.360124+00:00", + "ended_at": "2026-05-19T15:55:51.783787+00:00", + "elapsed_ms": 38423.64, + "prompt_metrics": { + "chars": 9572, + "bytes_utf8": 9572, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2326, + "bytes_utf8": 2326, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 1748, + "bytes_utf8": 1748, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14978, + "cached_input_tokens": 12032, + "output_tokens": 2662, + "reasoning_output_tokens": 2070 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bf3884ef1ab0617a/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bf3884ef1ab0617a/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6f990caed554d2549c435247bbb20aafc5b7f475 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bf3884ef1ab0617a/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=feature_5, measure_col=feature_10.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "feature_5", + "measure_col": "feature_10", + "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": 45.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_bf3884ef1ab0617a/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bf3884ef1ab0617a/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..be72a8d66579ed1e0218fdcfc3a5d969bad838a8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bf3884ef1ab0617a/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f2-c967-79a3-8f9c-98a30cf73f4c"} +{"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 \\\"feature_5\\\" AS \\\"group_col\\\",\\n CAST(\\\"feature_10\\\" AS REAL) AS \\\"measure_col\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"feature_5\\\"\\n ORDER BY CAST(\\\"feature_10\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"feature_5\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"n9\\\"\\n WHERE \\\"feature_5\\\" IS NOT NULL\\n AND \\\"feature_10\\\" IS NOT NULL\\n),\\n\\\"percentile_prep\\\" AS (\\n SELECT\\n \\\"group_col\\\",\\n \\\"measure_col\\\",\\n \\\"rn\\\",\\n \\\"cnt\\\",\\n (0.95 * (\\\"cnt\\\" - 1)) + 1.0 AS \\\"pos\\\",\\n CAST((0.95 * (\\\"cnt\\\" - 1)) + 1.0 AS INTEGER) AS \\\"lower_rn\\\",\\n CASE\\n WHEN ((0.95 * (\\\"cnt\\\" - 1)) + 1.0) = CAST((0.95 * (\\\"cnt\\\" - 1)) + 1.0 AS INTEGER)\\n THEN CAST((0.95 * (\\\"cnt\\\" - 1)) + 1.0 AS INTEGER)\\n ELSE CAST((0.95 * (\\\"cnt\\\" - 1)) + 1.0 AS INTEGER) + 1\\n END AS \\\"upper_rn\\\"\\n FROM \\\"ordered\\\"\\n WHERE \\\"cnt\\\" >= 5\\n)\\nSELECT\\n \\\"group_col\\\" AS \\\"feature_5\\\",\\n CASE\\n WHEN MAX(\\\"lower_rn\\\") = MAX(\\\"upper_rn\\\") THEN\\n MAX(CASE WHEN \\\"rn\\\" = \\\"lower_rn\\\" THEN \\\"measure_col\\\" END)\\n ELSE\\n MAX(CASE WHEN \\\"rn\\\" = \\\"lower_rn\\\" THEN \\\"measure_col\\\" END) +\\n (MAX(\\\"pos\\\") - MAX(\\\"lower_rn\\\")) * (\\n MAX(CASE WHEN \\\"rn\\\" = \\\"upper_rn\\\" THEN \\\"measure_col\\\" END) -\\n MAX(CASE WHEN \\\"rn\\\" = \\\"lower_rn\\\" THEN \\\"measure_col\\\" END)\\n )\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"percentile_prep\\\"\\nGROUP BY \\\"group_col\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"Emulates the 95th percentile per feature_5 group in SQLite using window functions and linear interpolation, casts feature_10 from TEXT to REAL, and excludes groups with fewer than 5 rows.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14978,"cached_input_tokens":12032,"output_tokens":2662,"reasoning_output_tokens":2070}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bf3884ef1ab0617a/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bf3884ef1ab0617a/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5b115b4cbf42a3c50c6370b6fa0ab69ee07ba733 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bf3884ef1ab0617a/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ordered\" AS (\n SELECT\n \"feature_5\" AS \"group_col\",\n CAST(\"feature_10\" AS REAL) AS \"measure_col\",\n ROW_NUMBER() OVER (\n PARTITION BY \"feature_5\"\n ORDER BY CAST(\"feature_10\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"feature_5\"\n ) AS \"cnt\"\n FROM \"n9\"\n WHERE \"feature_5\" IS NOT NULL\n AND \"feature_10\" IS NOT NULL\n),\n\"percentile_prep\" AS (\n SELECT\n \"group_col\",\n \"measure_col\",\n \"rn\",\n \"cnt\",\n (0.95 * (\"cnt\" - 1)) + 1.0 AS \"pos\",\n CAST((0.95 * (\"cnt\" - 1)) + 1.0 AS INTEGER) AS \"lower_rn\",\n CASE\n WHEN ((0.95 * (\"cnt\" - 1)) + 1.0) = CAST((0.95 * (\"cnt\" - 1)) + 1.0 AS INTEGER)\n THEN CAST((0.95 * (\"cnt\" - 1)) + 1.0 AS INTEGER)\n ELSE CAST((0.95 * (\"cnt\" - 1)) + 1.0 AS INTEGER) + 1\n END AS \"upper_rn\"\n FROM \"ordered\"\n WHERE \"cnt\" >= 5\n)\nSELECT\n \"group_col\" AS \"feature_5\",\n CASE\n WHEN MAX(\"lower_rn\") = MAX(\"upper_rn\") THEN\n MAX(CASE WHEN \"rn\" = \"lower_rn\" THEN \"measure_col\" END)\n ELSE\n MAX(CASE WHEN \"rn\" = \"lower_rn\" THEN \"measure_col\" END) +\n (MAX(\"pos\") - MAX(\"lower_rn\")) * (\n MAX(CASE WHEN \"rn\" = \"upper_rn\" THEN \"measure_col\" END) -\n MAX(CASE WHEN \"rn\" = \"lower_rn\" THEN \"measure_col\" END)\n )\n END AS \"percentile_measure\"\nFROM \"percentile_prep\"\nGROUP BY \"group_col\"\nORDER BY \"percentile_measure\" DESC;","notes":"Emulates the 95th percentile per feature_5 group in SQLite using window functions and linear interpolation, casts feature_10 from TEXT to REAL, and excludes groups with fewer than 5 rows."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bf3884ef1ab0617a/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bf3884ef1ab0617a/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c3e0fbce48684752/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c3e0fbce48684752/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..27f9d1418087301fb41a320f20d4209367fe4c75 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c3e0fbce48684752/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9946, "bytes_utf8": 9946, "lines": 300, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 633, "bytes_utf8": 633, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15078, "cached_input_tokens": 13696, "output_tokens": 490, "reasoning_output_tokens": 319}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c3e0fbce48684752/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c3e0fbce48684752/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..92574e5c29167794e35dc4bc956d96079e598e7f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c3e0fbce48684752/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_c3e0fbce48684752", + "api_calls": 0, + "input_tokens": 15078, + "cached_input_tokens": 13696, + "output_tokens": 490, + "total_tokens": 15568, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11593.26, + "sql_execution_elapsed_ms_total": 7.01, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c3e0fbce48684752/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c3e0fbce48684752/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c3e0fbce48684752/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..17254ceb9ab7cde783582f821603cde514d7cb88 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c3e0fbce48684752/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": "2026-05-19T15:46:38.973514+00:00", + "ended_at": "2026-05-19T15:46:50.566835+00:00", + "elapsed_ms": 11593.26, + "prompt_metrics": { + "chars": 9946, + "bytes_utf8": 9946, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1000, + "bytes_utf8": 1000, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 633, + "bytes_utf8": 633, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15078, + "cached_input_tokens": 13696, + "output_tokens": 490, + "reasoning_output_tokens": 319 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c3e0fbce48684752/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c3e0fbce48684752/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ca1ab1514573e99dacea54a0ede8c210d3e4414a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c3e0fbce48684752/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=feature_6, measure_col=feature_10.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "feature_6", + "measure_col": "feature_10", + "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": 54.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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_a/n9/artifacts/v2q_n9_c3e0fbce48684752/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c3e0fbce48684752/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..0715d1cd097c35aaf959b155e77e3126a1b7c9e5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c3e0fbce48684752/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ea-f061-7e91-87a1-faf847de68d8"} +{"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 \\\"feature_6\\\", SUM(CAST(\\\"feature_10\\\" AS REAL)) AS group_value\\n FROM \\\"n9\\\"\\n GROUP BY \\\"feature_6\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"feature_6\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\",\"notes\":\"Applied the planned Relative-to-Total Extreme Threshold template with group_col=\\\"feature_6\\\" and measure_col=\\\"feature_10\\\". CAST is used because the schema stores feature columns as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15078,"cached_input_tokens":13696,"output_tokens":490,"reasoning_output_tokens":319}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c3e0fbce48684752/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c3e0fbce48684752/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..dde4e71315e6313be5039d247b4382b7ac737ba1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c3e0fbce48684752/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"feature_6\", SUM(CAST(\"feature_10\" AS REAL)) AS group_value\n FROM \"n9\"\n GROUP BY \"feature_6\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"feature_6\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.1\nORDER BY g.group_value DESC;","notes":"Applied the planned Relative-to-Total Extreme Threshold template with group_col=\"feature_6\" and measure_col=\"feature_10\". CAST is used because the schema stores feature columns as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c3e0fbce48684752/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c3e0fbce48684752/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c421da0d9c0dc129/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c421da0d9c0dc129/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b6bc7ef000e0cba850295b2c0618e8c233dc31a3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c421da0d9c0dc129/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9298, "bytes_utf8": 9298, "lines": 298, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 295, "bytes_utf8": 295, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14911, "cached_input_tokens": 12032, "output_tokens": 204, "reasoning_output_tokens": 121}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c421da0d9c0dc129/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c421da0d9c0dc129/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..4e94363d98b200f50122d5114f9ce01f9171f446 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c421da0d9c0dc129/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_c421da0d9c0dc129", + "api_calls": 0, + "input_tokens": 14911, + "cached_input_tokens": 12032, + "output_tokens": 204, + "total_tokens": 15115, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 17020.05, + "sql_execution_elapsed_ms_total": 6.59, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c421da0d9c0dc129/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c421da0d9c0dc129/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c421da0d9c0dc129/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1771a3af6837ad81e94a73a4315b9bce20eac1c0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c421da0d9c0dc129/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": "2026-05-19T15:32:13.730292+00:00", + "ended_at": "2026-05-19T15:32:30.750376+00:00", + "elapsed_ms": 17020.05, + "prompt_metrics": { + "chars": 9298, + "bytes_utf8": 9298, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1643, + "bytes_utf8": 1643, + "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": 295, + "bytes_utf8": 295, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14911, + "cached_input_tokens": 12032, + "output_tokens": 204, + "reasoning_output_tokens": 121 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c421da0d9c0dc129/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c421da0d9c0dc129/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b030f8d8a6d1113b5a066a36d22dde86bd98b8f5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c421da0d9c0dc129/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=feature_14.", + "planned_template_id": "tpl_clickbench_group_count", + "bindings": { + "group_col": "feature_14", + "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": 47.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, 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_a/n9/artifacts/v2q_n9_c421da0d9c0dc129/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c421da0d9c0dc129/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e6cb1a7682e2cce4f17b3dd761bc202e68b588dd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c421da0d9c0dc129/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,7 @@ +{"type":"thread.started","thread_id":"019e40dd-bc53-7ce3-bb65-ee4b2e0589c7"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 15546. Please try again in 466ms. 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 1992792, Requested 15546. Please try again in 250ms. 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 1984860, Requested 15546. Please try again in 12ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"feature_14\\\", COUNT(*) AS row_count\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_14\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Applied the provided Grouped Count by Category template with group_col bound to \\\"feature_14\\\" on the single table \\\"n9\\\".\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14911,"cached_input_tokens":12032,"output_tokens":204,"reasoning_output_tokens":121}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c421da0d9c0dc129/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c421da0d9c0dc129/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..166ddd315c12b09a1926d764caaea4a1623ab526 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c421da0d9c0dc129/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_clickbench_group_count\nSELECT \"feature_14\", COUNT(*) AS row_count\nFROM \"n9\"\nGROUP BY \"feature_14\"\nORDER BY row_count DESC;","notes":"Applied the provided Grouped Count by Category template with group_col bound to \"feature_14\" on the single table \"n9\"."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c421da0d9c0dc129/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c421da0d9c0dc129/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c518757c15e9b81c/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c518757c15e9b81c/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b3cf2bc8ccc6ae0d2d4709a50957299378eee0fa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c518757c15e9b81c/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9703, "bytes_utf8": 9703, "lines": 304, "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": 479, "bytes_utf8": 479, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15036, "cached_input_tokens": 13696, "output_tokens": 357, "reasoning_output_tokens": 223}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c518757c15e9b81c/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c518757c15e9b81c/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..4c6a07237d7136e67fe66d4f825bf62625168df5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c518757c15e9b81c/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_c518757c15e9b81c", + "api_calls": 0, + "input_tokens": 15036, + "cached_input_tokens": 13696, + "output_tokens": 357, + "total_tokens": 15393, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11964.47, + "sql_execution_elapsed_ms_total": 3.57, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c518757c15e9b81c/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c518757c15e9b81c/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c518757c15e9b81c/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..8dc39eed7bfe2b80abbd10c94b19e8df84faa4ca --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c518757c15e9b81c/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": "2026-05-19T15:41:24.164730+00:00", + "ended_at": "2026-05-19T15:41:36.129235+00:00", + "elapsed_ms": 11964.47, + "prompt_metrics": { + "chars": 9703, + "bytes_utf8": 9703, + "lines": 304, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 846, + "bytes_utf8": 846, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 479, + "bytes_utf8": 479, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15036, + "cached_input_tokens": 13696, + "output_tokens": 357, + "reasoning_output_tokens": 223 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c518757c15e9b81c/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c518757c15e9b81c/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e43bbcf4f793f2bb8a9e839e5f6dc32239a87575 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c518757c15e9b81c/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,304 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_c2_filtered_group_count_2d", + "template_name": "Filtered Two-Dimensional Group Count", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;", + "required_roles": [ + "group_col", + "group_col_2", + "predicate_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "n9", + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=feature_4, group_col_2=feature_8.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "feature_4", + "group_col_2": "feature_8", + "predicate_col": "feature_15", + "predicate_op": ">=", + "predicate_value": 100.0, + "top_k": 13, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 65.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c518757c15e9b81c/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c518757c15e9b81c/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..cf12d2a555cf0bb24ad211445c13eaff436e688b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c518757c15e9b81c/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e6-2266-7b80-9695-45830662af37"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"feature_4\\\", \\\"feature_8\\\", COUNT(*) AS row_count\\nFROM \\\"n9\\\"\\nWHERE CAST(\\\"feature_15\\\" AS REAL) >= 100.0\\nGROUP BY \\\"feature_4\\\", \\\"feature_8\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Used the provided filtered two-dimensional group count template with group_col=\\\"feature_4\\\", group_col_2=\\\"feature_8\\\", and predicate_col=\\\"feature_15\\\". CAST to REAL is applied because the schema stores feature columns as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15036,"cached_input_tokens":13696,"output_tokens":357,"reasoning_output_tokens":223}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c518757c15e9b81c/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c518757c15e9b81c/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..733176f38c1c8496c90899a85f9315f923a44b82 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c518757c15e9b81c/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"feature_4\", \"feature_8\", COUNT(*) AS row_count\nFROM \"n9\"\nWHERE CAST(\"feature_15\" AS REAL) >= 100.0\nGROUP BY \"feature_4\", \"feature_8\"\nORDER BY row_count DESC;","notes":"Used the provided filtered two-dimensional group count template with group_col=\"feature_4\", group_col_2=\"feature_8\", and predicate_col=\"feature_15\". CAST to REAL is applied because the schema stores feature columns as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c518757c15e9b81c/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c518757c15e9b81c/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c5c4236c1cb3293f/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c5c4236c1cb3293f/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..99d7687a74022ed0b7f88cff0a0cda2662645bfd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c5c4236c1cb3293f/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9324, "bytes_utf8": 9324, "lines": 298, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 385, "bytes_utf8": 385, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14927, "cached_input_tokens": 13696, "output_tokens": 255, "reasoning_output_tokens": 145}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c5c4236c1cb3293f/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c5c4236c1cb3293f/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5c2d9c1faa549fe2e3323f1c493d9c35947b257d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c5c4236c1cb3293f/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_c5c4236c1cb3293f", + "api_calls": 0, + "input_tokens": 14927, + "cached_input_tokens": 13696, + "output_tokens": 255, + "total_tokens": 15182, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 7997.66, + "sql_execution_elapsed_ms_total": 1.78, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c5c4236c1cb3293f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c5c4236c1cb3293f/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c5c4236c1cb3293f/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7df58f1182bf678b6cc346379d57d05a614d619f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c5c4236c1cb3293f/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:04:39.294730+00:00", + "ended_at": "2026-05-19T16:04:47.292419+00:00", + "elapsed_ms": 7997.66, + "prompt_metrics": { + "chars": 9324, + "bytes_utf8": 9324, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 729, + "bytes_utf8": 729, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 385, + "bytes_utf8": 385, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14927, + "cached_input_tokens": 13696, + "output_tokens": 255, + "reasoning_output_tokens": 145 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c5c4236c1cb3293f/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c5c4236c1cb3293f/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b4ce9309c148419b043f836033b615ee0abd141a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c5c4236c1cb3293f/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=feature_3.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "feature_3", + "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": 58.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_c5c4236c1cb3293f/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c5c4236c1cb3293f/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..0bd7629c5ebbaf267becaceab8313b045ffcdf24 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c5c4236c1cb3293f/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-6c0e-7db0-9872-14ab3b4d03de"} +{"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(\\\"feature_3\\\" AS REAL) <= 58.0 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"n9\\\";\",\"notes\":\"Applied the provided Threshold Rarity CDF template with measure_col bound to \\\"feature_3\\\" and measure_threshold fixed at 58.0. CAST to REAL is used because the schema stores feature columns as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14927,"cached_input_tokens":13696,"output_tokens":255,"reasoning_output_tokens":145}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c5c4236c1cb3293f/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c5c4236c1cb3293f/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c49ba36eb83a3ba5efeb0c30e88b91cb126e7697 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c5c4236c1cb3293f/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_threshold_rarity_cdf\nSELECT AVG(CASE WHEN CAST(\"feature_3\" AS REAL) <= 58.0 THEN 1 ELSE 0 END) AS \"empirical_cdf_at_threshold\"\nFROM \"n9\";","notes":"Applied the provided Threshold Rarity CDF template with measure_col bound to \"feature_3\" and measure_threshold fixed at 58.0. CAST to REAL is used because the schema stores feature columns as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c5c4236c1cb3293f/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c5c4236c1cb3293f/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c6ca8dcc4bd2d03c/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c6ca8dcc4bd2d03c/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..76bd48376fc3a056485b7cea7662f59e54fdfebd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c6ca8dcc4bd2d03c/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9948, "bytes_utf8": 9948, "lines": 300, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 645, "bytes_utf8": 645, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15078, "cached_input_tokens": 13696, "output_tokens": 290, "reasoning_output_tokens": 115}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c6ca8dcc4bd2d03c/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c6ca8dcc4bd2d03c/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..92ca51a9318006516932b1e48a6d5072dafb4d06 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c6ca8dcc4bd2d03c/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_c6ca8dcc4bd2d03c", + "api_calls": 0, + "input_tokens": 15078, + "cached_input_tokens": 13696, + "output_tokens": 290, + "total_tokens": 15368, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8311.63, + "sql_execution_elapsed_ms_total": 10.19, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c6ca8dcc4bd2d03c/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c6ca8dcc4bd2d03c/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c6ca8dcc4bd2d03c/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f5316719428949967d3edf226c2977af4183f02c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c6ca8dcc4bd2d03c/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": "2026-05-19T15:50:06.628983+00:00", + "ended_at": "2026-05-19T15:50:14.940670+00:00", + "elapsed_ms": 8311.63, + "prompt_metrics": { + "chars": 9948, + "bytes_utf8": 9948, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1016, + "bytes_utf8": 1016, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 645, + "bytes_utf8": 645, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15078, + "cached_input_tokens": 13696, + "output_tokens": 290, + "reasoning_output_tokens": 115 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c6ca8dcc4bd2d03c/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c6ca8dcc4bd2d03c/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6d0760562b8810a585bf7f280a71e3d2b93a4b98 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c6ca8dcc4bd2d03c/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=feature_13, measure_col=feature_1.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "feature_13", + "measure_col": "feature_1", + "top_k": 15, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 50.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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_a/n9/artifacts/v2q_n9_c6ca8dcc4bd2d03c/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c6ca8dcc4bd2d03c/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c6b2090465609e0ac27d2fe276e4ccf1fb0f46d7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c6ca8dcc4bd2d03c/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ee-1b3f-7f92-92f5-63d8b2bc431c"} +{"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 \\\"feature_13\\\", SUM(CAST(\\\"feature_1\\\" AS REAL)) AS group_value\\n FROM \\\"n9\\\"\\n GROUP BY \\\"feature_13\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"feature_13\\\", 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=\\\"feature_13\\\" and measure_col=\\\"feature_1\\\". Cast \\\"feature_1\\\" from TEXT to REAL for numeric aggregation in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15078,"cached_input_tokens":13696,"output_tokens":290,"reasoning_output_tokens":115}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c6ca8dcc4bd2d03c/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c6ca8dcc4bd2d03c/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f82482ba94aaaeb9a53cd4e55665c8a333f7bc85 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c6ca8dcc4bd2d03c/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"feature_13\", SUM(CAST(\"feature_1\" AS REAL)) AS group_value\n FROM \"n9\"\n GROUP BY \"feature_13\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"feature_13\", 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=\"feature_13\" and measure_col=\"feature_1\". Cast \"feature_1\" from TEXT to REAL for numeric aggregation in SQLite."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c6ca8dcc4bd2d03c/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c6ca8dcc4bd2d03c/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c91af70c03e4ff4c/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c91af70c03e4ff4c/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..5a028abadfce78629eb8331644da9ba541adb2a0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c91af70c03e4ff4c/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": "2026-05-19T16:09:18.020232+00:00", + "ended_at": "2026-05-19T16:09:21.158055+00:00", + "elapsed_ms": 3137.8, + "returncode": 1, + "prompt_metrics": { + "chars": 9472, + "bytes_utf8": 9472, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c91af70c03e4ff4c/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c91af70c03e4ff4c/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..cc2798d0355edf0663172bf3f715fb2297b96614 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c91af70c03e4ff4c/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": "2026-05-19T16:09:22.160053+00:00", + "ended_at": "2026-05-19T16:09:24.970331+00:00", + "elapsed_ms": 2810.24, + "returncode": 1, + "prompt_metrics": { + "chars": 9472, + "bytes_utf8": 9472, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c91af70c03e4ff4c/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c91af70c03e4ff4c/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..343bcfa76bb5a44b1b657ec127cf570ab45aae79 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c91af70c03e4ff4c/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=feature_2, measure_col=feature_10.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "feature_2", + "measure_col": "feature_10", + "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": 54.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_c91af70c03e4ff4c/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c91af70c03e4ff4c/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..343bcfa76bb5a44b1b657ec127cf570ab45aae79 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c91af70c03e4ff4c/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=feature_2, measure_col=feature_10.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "feature_2", + "measure_col": "feature_10", + "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": 54.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_c91af70c03e4ff4c/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c91af70c03e4ff4c/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..8dcb3ef907d625c686f8cccaf477d29c8653fbc4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c91af70c03e4ff4c/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-acc8-7183-aba6-ac2abf96c703"} +{"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_a/n9/artifacts/v2q_n9_c91af70c03e4ff4c/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c91af70c03e4ff4c/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..bbaa80535c23873386c07578a2048f1ed216c41e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c91af70c03e4ff4c/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-acc8-7183-aba6-ac2abf96c703"} +{"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_a/n9/artifacts/v2q_n9_c91af70c03e4ff4c/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c91af70c03e4ff4c/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..682f86631985bcbd71d588b8b30c3797fe5d3c5f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c91af70c03e4ff4c/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-bcee-7e01-9b64-cb29da7c7f26"} +{"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_a/n9/artifacts/v2q_n9_c91af70c03e4ff4c/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c91af70c03e4ff4c/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..2155544b789dc58f55edf1390295919c00cf4de0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c91af70c03e4ff4c/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-bcee-7e01-9b64-cb29da7c7f26"} +{"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_a/n9/artifacts/v2q_n9_c91af70c03e4ff4c/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c91af70c03e4ff4c/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c91af70c03e4ff4c/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c91af70c03e4ff4c/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c9c0bd481266cabb/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c9c0bd481266cabb/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..555e684873fb8c05bcfd16cbf7df76edb47a321e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c9c0bd481266cabb/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9570, "bytes_utf8": 9570, "lines": 300, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 1883, "bytes_utf8": 1883, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14978, "cached_input_tokens": 13696, "output_tokens": 2562, "reasoning_output_tokens": 1933}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c9c0bd481266cabb/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c9c0bd481266cabb/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..6bc5c13f51ee2436e68a59f0a2982a5423ea1ba1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c9c0bd481266cabb/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_c9c0bd481266cabb", + "api_calls": 0, + "input_tokens": 14978, + "cached_input_tokens": 13696, + "output_tokens": 2562, + "total_tokens": 17540, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 40644.14, + "sql_execution_elapsed_ms_total": 33.1, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c9c0bd481266cabb/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c9c0bd481266cabb/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c9c0bd481266cabb/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..93defc4502f341c9355232d37d752026302e7340 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c9c0bd481266cabb/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:58:36.740635+00:00", + "ended_at": "2026-05-19T15:59:17.384804+00:00", + "elapsed_ms": 40644.14, + "prompt_metrics": { + "chars": 9570, + "bytes_utf8": 9570, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2494, + "bytes_utf8": 2494, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 1883, + "bytes_utf8": 1883, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14978, + "cached_input_tokens": 13696, + "output_tokens": 2562, + "reasoning_output_tokens": 1933 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c9c0bd481266cabb/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c9c0bd481266cabb/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..28efae4574d3fa230dd7a45da3848270f2bd83b2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c9c0bd481266cabb/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=feature_8, measure_col=feature_13.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "feature_8", + "measure_col": "feature_13", + "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": 61.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_c9c0bd481266cabb/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c9c0bd481266cabb/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..d21f349338e7dc465bf5ca5df0b1a1ec2abd92e0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c9c0bd481266cabb/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f5-e3cd-7621-91fa-63092776e36d"} +{"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 \\\"feature_8\\\" AS \\\"group_value\\\",\\n CAST(\\\"feature_13\\\" AS REAL) AS \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"feature_8\\\"\\n ORDER BY CAST(\\\"feature_13\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"feature_8\\\"\\n ) AS \\\"n\\\"\\n FROM \\\"n9\\\"\\n WHERE \\\"feature_8\\\" IS NOT NULL\\n AND \\\"feature_13\\\" IS NOT NULL\\n),\\n\\\"prep\\\" AS (\\n SELECT\\n \\\"group_value\\\",\\n \\\"measure_value\\\",\\n \\\"rn\\\",\\n \\\"n\\\",\\n (1.0 + 0.9 * (\\\"n\\\" - 1)) AS \\\"r\\\",\\n CAST((1.0 + 0.9 * (\\\"n\\\" - 1)) AS INTEGER) AS \\\"lo\\\",\\n CASE\\n WHEN (1.0 + 0.9 * (\\\"n\\\" - 1)) = CAST((1.0 + 0.9 * (\\\"n\\\" - 1)) AS INTEGER)\\n THEN CAST((1.0 + 0.9 * (\\\"n\\\" - 1)) AS INTEGER)\\n ELSE CAST((1.0 + 0.9 * (\\\"n\\\" - 1)) AS INTEGER) + 1\\n END AS \\\"hi\\\"\\n FROM \\\"ranked\\\"\\n),\\n\\\"percentiles\\\" AS (\\n SELECT\\n \\\"group_value\\\",\\n CASE\\n WHEN MAX(\\\"lo\\\") = MAX(\\\"hi\\\") THEN MAX(CASE WHEN \\\"rn\\\" = \\\"lo\\\" THEN \\\"measure_value\\\" END)\\n ELSE\\n MAX(CASE WHEN \\\"rn\\\" = \\\"lo\\\" THEN \\\"measure_value\\\" END) +\\n (MAX(\\\"r\\\") - MAX(\\\"lo\\\")) * (\\n MAX(CASE WHEN \\\"rn\\\" = \\\"hi\\\" THEN \\\"measure_value\\\" END) -\\n MAX(CASE WHEN \\\"rn\\\" = \\\"lo\\\" THEN \\\"measure_value\\\" END)\\n )\\n END AS \\\"percentile_measure\\\"\\n FROM \\\"prep\\\"\\n GROUP BY \\\"group_value\\\"\\n HAVING MAX(\\\"n\\\") >= 5\\n)\\nSELECT\\n \\\"group_value\\\" AS \\\"feature_8\\\",\\n \\\"percentile_measure\\\"\\nFROM \\\"percentiles\\\"\\nORDER BY \\\"percentile_measure\\\" DESC, \\\"feature_8\\\";\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this emulates the 0.9 percentile for each \\\"feature_8\\\" group using window functions and linear interpolation on CAST(\\\"feature_13\\\" AS REAL). Groups are restricted to at least 5 rows via the provided min_group_size binding.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14978,"cached_input_tokens":13696,"output_tokens":2562,"reasoning_output_tokens":1933}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c9c0bd481266cabb/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c9c0bd481266cabb/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2d6531a83ef3970151445dbebabd4f80286e5b9d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c9c0bd481266cabb/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n \"feature_8\" AS \"group_value\",\n CAST(\"feature_13\" AS REAL) AS \"measure_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"feature_8\"\n ORDER BY CAST(\"feature_13\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"feature_8\"\n ) AS \"n\"\n FROM \"n9\"\n WHERE \"feature_8\" IS NOT NULL\n AND \"feature_13\" IS NOT NULL\n),\n\"prep\" AS (\n SELECT\n \"group_value\",\n \"measure_value\",\n \"rn\",\n \"n\",\n (1.0 + 0.9 * (\"n\" - 1)) AS \"r\",\n CAST((1.0 + 0.9 * (\"n\" - 1)) AS INTEGER) AS \"lo\",\n CASE\n WHEN (1.0 + 0.9 * (\"n\" - 1)) = CAST((1.0 + 0.9 * (\"n\" - 1)) AS INTEGER)\n THEN CAST((1.0 + 0.9 * (\"n\" - 1)) AS INTEGER)\n ELSE CAST((1.0 + 0.9 * (\"n\" - 1)) AS INTEGER) + 1\n END AS \"hi\"\n FROM \"ranked\"\n),\n\"percentiles\" AS (\n SELECT\n \"group_value\",\n CASE\n WHEN MAX(\"lo\") = MAX(\"hi\") THEN MAX(CASE WHEN \"rn\" = \"lo\" THEN \"measure_value\" END)\n ELSE\n MAX(CASE WHEN \"rn\" = \"lo\" THEN \"measure_value\" END) +\n (MAX(\"r\") - MAX(\"lo\")) * (\n MAX(CASE WHEN \"rn\" = \"hi\" THEN \"measure_value\" END) -\n MAX(CASE WHEN \"rn\" = \"lo\" THEN \"measure_value\" END)\n )\n END AS \"percentile_measure\"\n FROM \"prep\"\n GROUP BY \"group_value\"\n HAVING MAX(\"n\") >= 5\n)\nSELECT\n \"group_value\" AS \"feature_8\",\n \"percentile_measure\"\nFROM \"percentiles\"\nORDER BY \"percentile_measure\" DESC, \"feature_8\";","notes":"SQLite does not support PERCENTILE_CONT, so this emulates the 0.9 percentile for each \"feature_8\" group using window functions and linear interpolation on CAST(\"feature_13\" AS REAL). Groups are restricted to at least 5 rows via the provided min_group_size binding."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c9c0bd481266cabb/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c9c0bd481266cabb/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_cb93d30f6e25f3a4/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_cb93d30f6e25f3a4/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..fd7f5382d7e281ece21863786339a6c862f631a2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_cb93d30f6e25f3a4/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9788, "bytes_utf8": 9788, "lines": 302, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 595, "bytes_utf8": 595, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15055, "cached_input_tokens": 12032, "output_tokens": 686, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_cb93d30f6e25f3a4/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_cb93d30f6e25f3a4/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..1f9ba90a2c9f6e28f018abb482f2ea6a72d19b75 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_cb93d30f6e25f3a4/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_cb93d30f6e25f3a4", + "api_calls": 0, + "input_tokens": 15055, + "cached_input_tokens": 12032, + "output_tokens": 686, + "total_tokens": 15741, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13094.74, + "sql_execution_elapsed_ms_total": 14.95, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_cb93d30f6e25f3a4/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_cb93d30f6e25f3a4/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_cb93d30f6e25f3a4/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..5f9cd05eb28188f2039fda4be572672d9ca8d5d0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_cb93d30f6e25f3a4/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:38:43.028680+00:00", + "ended_at": "2026-05-19T15:38:56.123443+00:00", + "elapsed_ms": 13094.74, + "prompt_metrics": { + "chars": 9788, + "bytes_utf8": 9788, + "lines": 302, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 975, + "bytes_utf8": 975, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 595, + "bytes_utf8": 595, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15055, + "cached_input_tokens": 12032, + "output_tokens": 686, + "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_a/n9/artifacts/v2q_n9_cb93d30f6e25f3a4/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_cb93d30f6e25f3a4/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..47953cf47c679623fecbf84cc6b9bb2828120a48 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_cb93d30f6e25f3a4/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,302 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=class, measure_col=feature_2.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "class", + "measure_col": "feature_2", + "item_col": "feature_3", + "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": 100.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_cb93d30f6e25f3a4/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_cb93d30f6e25f3a4/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..15de7890a92bc0c7b1c2a56ea780803abb050cab --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_cb93d30f6e25f3a4/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e3-ace2-7e73-b01f-451e7c6b4ba3"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"class\\\", \\\"feature_3\\\",\\n SUM(CAST(\\\"feature_2\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"feature_2\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"feature_2\\\" AS REAL))) OVER (PARTITION BY \\\"class\\\") AS share_within_group\\nFROM \\\"n9\\\"\\nGROUP BY \\\"class\\\", \\\"feature_3\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Instantiated the Within-Group Share of Total template with group_col=\\\"class\\\", item_col=\\\"feature_3\\\", and measure_col=\\\"feature_2\\\". CAST to REAL is used because the SQLite schema stores feature columns as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15055,"cached_input_tokens":12032,"output_tokens":686,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_cb93d30f6e25f3a4/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_cb93d30f6e25f3a4/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2308d5c51722373e504eac2aee5ad442a5883ff7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_cb93d30f6e25f3a4/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"class\", \"feature_3\",\n SUM(CAST(\"feature_2\" AS REAL)) AS total_measure,\n SUM(CAST(\"feature_2\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"feature_2\" AS REAL))) OVER (PARTITION BY \"class\") AS share_within_group\nFROM \"n9\"\nGROUP BY \"class\", \"feature_3\"\nORDER BY share_within_group DESC;","notes":"Instantiated the Within-Group Share of Total template with group_col=\"class\", item_col=\"feature_3\", and measure_col=\"feature_2\". CAST to REAL is used because the SQLite schema stores feature columns as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_cb93d30f6e25f3a4/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_cb93d30f6e25f3a4/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ccd1f3b336eda6d8/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ccd1f3b336eda6d8/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..05a93cdacefca46a9c2a7b23c581eac1b83700af --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ccd1f3b336eda6d8/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:07:18.798176+00:00", + "ended_at": "2026-05-19T16:07:22.021556+00:00", + "elapsed_ms": 3223.36, + "returncode": 1, + "prompt_metrics": { + "chars": 9377, + "bytes_utf8": 9377, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ccd1f3b336eda6d8/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ccd1f3b336eda6d8/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..3b6ca9d7b677e6c1b16324dde455d449fa307253 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ccd1f3b336eda6d8/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:07:23.024317+00:00", + "ended_at": "2026-05-19T16:07:26.158451+00:00", + "elapsed_ms": 3134.09, + "returncode": 1, + "prompt_metrics": { + "chars": 9377, + "bytes_utf8": 9377, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ccd1f3b336eda6d8/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ccd1f3b336eda6d8/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f7d6ba8c819987a283249a6b799cca406091b78b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ccd1f3b336eda6d8/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=feature_8.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "feature_8", + "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": 100.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_ccd1f3b336eda6d8/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ccd1f3b336eda6d8/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..f7d6ba8c819987a283249a6b799cca406091b78b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ccd1f3b336eda6d8/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=feature_8.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "feature_8", + "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": 100.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_ccd1f3b336eda6d8/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ccd1f3b336eda6d8/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5ea04eb51425981079451ff5756c2cfeee24d0c6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ccd1f3b336eda6d8/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-db21-7302-848b-fc0cf8181ca4"} +{"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_a/n9/artifacts/v2q_n9_ccd1f3b336eda6d8/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ccd1f3b336eda6d8/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9e765916664c99f029d29c269f2ad5b1897514c8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ccd1f3b336eda6d8/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-db21-7302-848b-fc0cf8181ca4"} +{"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_a/n9/artifacts/v2q_n9_ccd1f3b336eda6d8/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ccd1f3b336eda6d8/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..9def716feb4610dc3f60c373f971ae4fb5b46785 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ccd1f3b336eda6d8/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-eb89-7701-a133-c905322c29b1"} +{"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_a/n9/artifacts/v2q_n9_ccd1f3b336eda6d8/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ccd1f3b336eda6d8/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..965309fd9b29f43a219a021471928f05c509f7ac --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ccd1f3b336eda6d8/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-eb89-7701-a133-c905322c29b1"} +{"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_a/n9/artifacts/v2q_n9_ccd1f3b336eda6d8/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ccd1f3b336eda6d8/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ccd1f3b336eda6d8/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ccd1f3b336eda6d8/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d0a697d698aaf8b9/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d0a697d698aaf8b9/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4bac389a635934c30d56217153bed34d09b1918a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d0a697d698aaf8b9/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9802, "bytes_utf8": 9802, "lines": 302, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 613, "bytes_utf8": 613, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15059, "cached_input_tokens": 12032, "output_tokens": 575, "reasoning_output_tokens": 398}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d0a697d698aaf8b9/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d0a697d698aaf8b9/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..41c94d1706627bbbd62293f7588df5c33dd5c572 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d0a697d698aaf8b9/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_d0a697d698aaf8b9", + "api_calls": 0, + "input_tokens": 15059, + "cached_input_tokens": 12032, + "output_tokens": 575, + "total_tokens": 15634, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11194.73, + "sql_execution_elapsed_ms_total": 36.48, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d0a697d698aaf8b9/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d0a697d698aaf8b9/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d0a697d698aaf8b9/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..76793957b98e782195a23675cab1d637e919d6e1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d0a697d698aaf8b9/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": "2026-05-19T15:36:42.583614+00:00", + "ended_at": "2026-05-19T15:36:53.778372+00:00", + "elapsed_ms": 11194.73, + "prompt_metrics": { + "chars": 9802, + "bytes_utf8": 9802, + "lines": 302, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 993, + "bytes_utf8": 993, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 613, + "bytes_utf8": 613, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15059, + "cached_input_tokens": 12032, + "output_tokens": 575, + "reasoning_output_tokens": 398 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d0a697d698aaf8b9/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d0a697d698aaf8b9/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..aa5cbc39b6d7382dd86336b1d4e496fd8159abd9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d0a697d698aaf8b9/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,302 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=feature_12, measure_col=feature_13.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "feature_12", + "measure_col": "feature_13", + "item_col": "feature_14", + "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": 61.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_d0a697d698aaf8b9/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d0a697d698aaf8b9/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..4ce32db5fe2a732682c4d1fc4508989bcee13b9b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d0a697d698aaf8b9/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e1-d666-7b22-bf2a-8c104552946a"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"feature_12\\\", \\\"feature_14\\\",\\n SUM(CAST(\\\"feature_13\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"feature_13\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"feature_13\\\" AS REAL))) OVER (PARTITION BY \\\"feature_12\\\") AS share_within_group\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_12\\\", \\\"feature_14\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the Within-Group Share of Total template with group_col=\\\"feature_12\\\", item_col=\\\"feature_14\\\", and measure_col=\\\"feature_13\\\". The measure is cast from TEXT to REAL so SQLite aggregates it numerically.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15059,"cached_input_tokens":12032,"output_tokens":575,"reasoning_output_tokens":398}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d0a697d698aaf8b9/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d0a697d698aaf8b9/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ada453176e5c892966bc876a1e38cfbcd89ee8ad --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d0a697d698aaf8b9/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"feature_12\", \"feature_14\",\n SUM(CAST(\"feature_13\" AS REAL)) AS total_measure,\n SUM(CAST(\"feature_13\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"feature_13\" AS REAL))) OVER (PARTITION BY \"feature_12\") AS share_within_group\nFROM \"n9\"\nGROUP BY \"feature_12\", \"feature_14\"\nORDER BY share_within_group DESC;","notes":"Applied the Within-Group Share of Total template with group_col=\"feature_12\", item_col=\"feature_14\", and measure_col=\"feature_13\". The measure is cast from TEXT to REAL so SQLite aggregates it numerically."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d0a697d698aaf8b9/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d0a697d698aaf8b9/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d3320bdf8364ae93/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d3320bdf8364ae93/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..60a36071cd186ff5cc4180705d3ec4e0d92e8449 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d3320bdf8364ae93/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:07:34.100844+00:00", + "ended_at": "2026-05-19T16:07:37.147339+00:00", + "elapsed_ms": 3046.46, + "returncode": 1, + "prompt_metrics": { + "chars": 9376, + "bytes_utf8": 9376, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d3320bdf8364ae93/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d3320bdf8364ae93/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6219092a3427c644e1ac7f9f5f28ac99fa3c4093 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d3320bdf8364ae93/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:07:38.150553+00:00", + "ended_at": "2026-05-19T16:07:41.409790+00:00", + "elapsed_ms": 3259.19, + "returncode": 1, + "prompt_metrics": { + "chars": 9376, + "bytes_utf8": 9376, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d3320bdf8364ae93/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d3320bdf8364ae93/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..500e13f5f3148af394f2a9ed69093997d8fb2f8f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d3320bdf8364ae93/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=feature_9.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "feature_9", + "top_k": 12, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 51.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\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_a/n9/artifacts/v2q_n9_d3320bdf8364ae93/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d3320bdf8364ae93/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..500e13f5f3148af394f2a9ed69093997d8fb2f8f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d3320bdf8364ae93/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=feature_9.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "feature_9", + "top_k": 12, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 51.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\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_a/n9/artifacts/v2q_n9_d3320bdf8364ae93/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d3320bdf8364ae93/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..79f29556dc08f43b5987eaa77f5572df2c8f7741 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d3320bdf8364ae93/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-16f0-7bf3-bedf-c01082bd70b6"} +{"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_a/n9/artifacts/v2q_n9_d3320bdf8364ae93/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d3320bdf8364ae93/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0cde9eb89ad32fb863020e24bc2a34a858dcbf8c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d3320bdf8364ae93/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-16f0-7bf3-bedf-c01082bd70b6"} +{"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_a/n9/artifacts/v2q_n9_d3320bdf8364ae93/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d3320bdf8364ae93/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f8d44c2f9c6f8290eba5afcfd5826c0aaa9f6c98 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d3320bdf8364ae93/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-269c-7860-a6b3-d1474d65bedc"} +{"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_a/n9/artifacts/v2q_n9_d3320bdf8364ae93/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d3320bdf8364ae93/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..dd440ab68e576b6ce5b8c93e2aaa49502e34c990 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d3320bdf8364ae93/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-269c-7860-a6b3-d1474d65bedc"} +{"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_a/n9/artifacts/v2q_n9_d3320bdf8364ae93/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d3320bdf8364ae93/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d3320bdf8364ae93/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d3320bdf8364ae93/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d39556c99d6ba666/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d39556c99d6ba666/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e3858650156ba95ec9d78420bf3f9a9d5ec8d75b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d39556c99d6ba666/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9947, "bytes_utf8": 9947, "lines": 300, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 644, "bytes_utf8": 644, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15078, "cached_input_tokens": 12032, "output_tokens": 387, "reasoning_output_tokens": 214}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d39556c99d6ba666/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d39556c99d6ba666/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..b9d002a1da84fc0a26cfe19c8853b3883c13848b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d39556c99d6ba666/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_d39556c99d6ba666", + "api_calls": 0, + "input_tokens": 15078, + "cached_input_tokens": 12032, + "output_tokens": 387, + "total_tokens": 15465, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8902.8, + "sql_execution_elapsed_ms_total": 6.61, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d39556c99d6ba666/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d39556c99d6ba666/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d39556c99d6ba666/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6799a55bedb31ccab574dac11e467b15b0f4a095 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d39556c99d6ba666/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": "2026-05-19T15:50:14.956919+00:00", + "ended_at": "2026-05-19T15:50:23.859750+00:00", + "elapsed_ms": 8902.8, + "prompt_metrics": { + "chars": 9947, + "bytes_utf8": 9947, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1011, + "bytes_utf8": 1011, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 644, + "bytes_utf8": 644, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15078, + "cached_input_tokens": 12032, + "output_tokens": 387, + "reasoning_output_tokens": 214 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d39556c99d6ba666/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d39556c99d6ba666/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4d65362c9184225ac3450d0e3c287ff21301a9da --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d39556c99d6ba666/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=feature_14, measure_col=feature_2.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "feature_14", + "measure_col": "feature_2", + "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": 100.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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_a/n9/artifacts/v2q_n9_d39556c99d6ba666/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d39556c99d6ba666/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ce25f85029ff71d7ac6822ca067d46bc1f9a7ea9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d39556c99d6ba666/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ee-3bcd-7a60-bc54-e458707ae77f"} +{"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 \\\"feature_14\\\", SUM(CAST(\\\"feature_2\\\" AS REAL)) AS group_value\\n FROM \\\"n9\\\"\\n GROUP BY \\\"feature_14\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"feature_14\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\",\"notes\":\"Applied the planned Relative-to-Total Extreme Threshold template with group_col=\\\"feature_14\\\" and measure_col=\\\"feature_2\\\". CAST to REAL is used because the schema stores numeric features as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15078,"cached_input_tokens":12032,"output_tokens":387,"reasoning_output_tokens":214}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d39556c99d6ba666/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d39556c99d6ba666/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..eb2a27618237b2b884f91bd35e88f2a4759eece4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d39556c99d6ba666/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"feature_14\", SUM(CAST(\"feature_2\" AS REAL)) AS group_value\n FROM \"n9\"\n GROUP BY \"feature_14\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"feature_14\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.1\nORDER BY g.group_value DESC;","notes":"Applied the planned Relative-to-Total Extreme Threshold template with group_col=\"feature_14\" and measure_col=\"feature_2\". CAST to REAL is used because the schema stores numeric features as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d39556c99d6ba666/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d39556c99d6ba666/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d62159ffcc757d29/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d62159ffcc757d29/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ccf7cee4597089a34dcbdf235374c894d1d2c83a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d62159ffcc757d29/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9948, "bytes_utf8": 9948, "lines": 300, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 638, "bytes_utf8": 638, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15078, "cached_input_tokens": 13696, "output_tokens": 533, "reasoning_output_tokens": 357}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d62159ffcc757d29/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d62159ffcc757d29/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..60887562039ab15c6710ab1f7f5857a639e05d3c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d62159ffcc757d29/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_d62159ffcc757d29", + "api_calls": 0, + "input_tokens": 15078, + "cached_input_tokens": 13696, + "output_tokens": 533, + "total_tokens": 15611, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11811.96, + "sql_execution_elapsed_ms_total": 5.92, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d62159ffcc757d29/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d62159ffcc757d29/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d62159ffcc757d29/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..8d5514dbed83686fdc269abd8440f07c1f388639 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d62159ffcc757d29/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:48:22.539365+00:00", + "ended_at": "2026-05-19T15:48:34.351353+00:00", + "elapsed_ms": 11811.96, + "prompt_metrics": { + "chars": 9948, + "bytes_utf8": 9948, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1009, + "bytes_utf8": 1009, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 638, + "bytes_utf8": 638, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15078, + "cached_input_tokens": 13696, + "output_tokens": 533, + "reasoning_output_tokens": 357 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d62159ffcc757d29/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d62159ffcc757d29/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6fc1240cf5d908501f725740686d45cc98a14179 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d62159ffcc757d29/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=feature_10, measure_col=feature_14.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "feature_10", + "measure_col": "feature_14", + "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": 47.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d62159ffcc757d29/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d62159ffcc757d29/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..1a76681058c067f25eb958bd0814c5b5a0d3e719 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d62159ffcc757d29/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ec-84a5-7411-a108-f75e4d7326a9"} +{"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 \\\"feature_10\\\", SUM(CAST(\\\"feature_14\\\" AS REAL)) AS group_value\\n FROM \\\"n9\\\"\\n GROUP BY \\\"feature_10\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"feature_10\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\",\"notes\":\"Used the planned Relative-to-Total Extreme Threshold template with group_col=\\\"feature_10\\\" and measure_col=\\\"feature_14\\\". Cast \\\"feature_14\\\" to REAL because the schema stores numeric fields as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15078,"cached_input_tokens":13696,"output_tokens":533,"reasoning_output_tokens":357}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d62159ffcc757d29/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d62159ffcc757d29/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d20261335beaead62d548f49f46abeb84eed3f50 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d62159ffcc757d29/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"feature_10\", SUM(CAST(\"feature_14\" AS REAL)) AS group_value\n FROM \"n9\"\n GROUP BY \"feature_10\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"feature_10\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.1\nORDER BY g.group_value DESC;","notes":"Used the planned Relative-to-Total Extreme Threshold template with group_col=\"feature_10\" and measure_col=\"feature_14\". Cast \"feature_14\" 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_a/n9/artifacts/v2q_n9_d62159ffcc757d29/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d62159ffcc757d29/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d64bf21a8efbc3ef/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d64bf21a8efbc3ef/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c21236ef732c6dc53abb0c2fbd192ac4acd1f58c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d64bf21a8efbc3ef/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9703, "bytes_utf8": 9703, "lines": 304, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 477, "bytes_utf8": 477, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15036, "cached_input_tokens": 12032, "output_tokens": 560, "reasoning_output_tokens": 425}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d64bf21a8efbc3ef/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d64bf21a8efbc3ef/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5a7a7d625dbc7c57d96e70efb3a4e9d3cd07c876 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d64bf21a8efbc3ef/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_d64bf21a8efbc3ef", + "api_calls": 0, + "input_tokens": 15036, + "cached_input_tokens": 12032, + "output_tokens": 560, + "total_tokens": 15596, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 22093.27, + "sql_execution_elapsed_ms_total": 4.81, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d64bf21a8efbc3ef/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d64bf21a8efbc3ef/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d64bf21a8efbc3ef/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ad03f7bdcd34bd50ce0d650290a7549141590141 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d64bf21a8efbc3ef/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": "2026-05-19T15:41:56.893039+00:00", + "ended_at": "2026-05-19T15:42:18.986336+00:00", + "elapsed_ms": 22093.27, + "prompt_metrics": { + "chars": 9703, + "bytes_utf8": 9703, + "lines": 304, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1850, + "bytes_utf8": 1850, + "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": 477, + "bytes_utf8": 477, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15036, + "cached_input_tokens": 12032, + "output_tokens": 560, + "reasoning_output_tokens": 425 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d64bf21a8efbc3ef/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d64bf21a8efbc3ef/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..02a045c1de1573c9a272ce0907ffaad1f782b7c2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d64bf21a8efbc3ef/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,304 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_c2_filtered_group_count_2d", + "template_name": "Filtered Two-Dimensional Group Count", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;", + "required_roles": [ + "group_col", + "group_col_2", + "predicate_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "n9", + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=feature_4, group_col_2=feature_11.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "feature_4", + "group_col_2": "feature_11", + "predicate_col": "feature_1", + "predicate_op": ">=", + "predicate_value": 65.0, + "top_k": 11, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 100.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d64bf21a8efbc3ef/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d64bf21a8efbc3ef/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..93381126d41bf9a9a6c7561691c6d7592ee4c5c3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d64bf21a8efbc3ef/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,7 @@ +{"type":"thread.started","thread_id":"019e40e6-a22c-76c3-b98e-d6ec128cca81"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 15671. Please try again in 470ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 3/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 15671. Please try again in 470ms. 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 1986794, Requested 15671. Please try again in 73ms. 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_c2_filtered_group_count_2d\\nSELECT \\\"feature_4\\\", \\\"feature_11\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"n9\\\"\\nWHERE CAST(\\\"feature_1\\\" AS REAL) >= 65.0\\nGROUP BY \\\"feature_4\\\", \\\"feature_11\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Uses the planned filtered two-dimensional group count template with \\\"feature_4\\\" and \\\"feature_11\\\" as grouping columns, and casts \\\"feature_1\\\" to REAL because the numeric feature columns are stored as TEXT in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15036,"cached_input_tokens":12032,"output_tokens":560,"reasoning_output_tokens":425}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d64bf21a8efbc3ef/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d64bf21a8efbc3ef/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d66b137ae99dd77e/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d66b137ae99dd77e/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ca74df0660c693a769b78bf3b3d42d20055abc92 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d66b137ae99dd77e/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9805, "bytes_utf8": 9805, "lines": 302, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 621, "bytes_utf8": 621, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15060, "cached_input_tokens": 13696, "output_tokens": 1316, "reasoning_output_tokens": 1129}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d66b137ae99dd77e/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d66b137ae99dd77e/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..764403fbb7d86503dea0a7a8a583bf8e97510576 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d66b137ae99dd77e/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_d66b137ae99dd77e", + "api_calls": 0, + "input_tokens": 15060, + "cached_input_tokens": 13696, + "output_tokens": 1316, + "total_tokens": 16376, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 23500.98, + "sql_execution_elapsed_ms_total": 17.54, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d66b137ae99dd77e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d66b137ae99dd77e/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d66b137ae99dd77e/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..51a9b0120d572196d8989f429e42bdb666d97b56 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d66b137ae99dd77e/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": "2026-05-19T15:35:03.487096+00:00", + "ended_at": "2026-05-19T15:35:26.988108+00:00", + "elapsed_ms": 23500.98, + "prompt_metrics": { + "chars": 9805, + "bytes_utf8": 9805, + "lines": 302, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1017, + "bytes_utf8": 1017, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 621, + "bytes_utf8": 621, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15060, + "cached_input_tokens": 13696, + "output_tokens": 1316, + "reasoning_output_tokens": 1129 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d66b137ae99dd77e/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d66b137ae99dd77e/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..665de308b460ccb194f061afe78f9f089b4cb788 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d66b137ae99dd77e/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,302 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=feature_9, measure_col=feature_10.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "feature_9", + "measure_col": "feature_10", + "item_col": "feature_11", + "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": 45.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_d66b137ae99dd77e/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d66b137ae99dd77e/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..2aa569da0e8a6aa87d6ace4e16c6bf3b7fc594ca --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d66b137ae99dd77e/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e0-5343-7301-b10f-6ea43dc6868f"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"feature_9\\\",\\n \\\"feature_11\\\",\\n SUM(CAST(\\\"feature_10\\\" AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(\\\"feature_10\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"feature_10\\\" AS REAL))) OVER (PARTITION BY \\\"feature_9\\\") AS \\\"share_within_group\\\"\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_9\\\", \\\"feature_11\\\"\\nORDER BY \\\"share_within_group\\\" DESC;\",\"notes\":\"Uses the Within-Group Share of Total template with group_col=\\\"feature_9\\\", item_col=\\\"feature_11\\\", and measure_col=\\\"feature_10\\\". The measure column is cast from TEXT to REAL so SQLite aggregates it numerically.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15060,"cached_input_tokens":13696,"output_tokens":1316,"reasoning_output_tokens":1129}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d66b137ae99dd77e/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d66b137ae99dd77e/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a87fe20635be53321f70bc8ee2843cff3a00c4da --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d66b137ae99dd77e/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"feature_9\",\n \"feature_11\",\n SUM(CAST(\"feature_10\" AS REAL)) AS \"total_measure\",\n SUM(CAST(\"feature_10\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"feature_10\" AS REAL))) OVER (PARTITION BY \"feature_9\") AS \"share_within_group\"\nFROM \"n9\"\nGROUP BY \"feature_9\", \"feature_11\"\nORDER BY \"share_within_group\" DESC;","notes":"Uses the Within-Group Share of Total template with group_col=\"feature_9\", item_col=\"feature_11\", and measure_col=\"feature_10\". The measure column is cast from TEXT to REAL so SQLite aggregates it numerically."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d66b137ae99dd77e/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d66b137ae99dd77e/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_daceb7717246fb73/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_daceb7717246fb73/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0d84b4f597912a984bb1caf017e6bfe99581d2fc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_daceb7717246fb73/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9389, "bytes_utf8": 9389, "lines": 300, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 356, "bytes_utf8": 356, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14940, "cached_input_tokens": 13696, "output_tokens": 369, "reasoning_output_tokens": 268}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_daceb7717246fb73/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_daceb7717246fb73/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..66164a2946ba73d8cd57c386fcf70089c4365991 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_daceb7717246fb73/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_daceb7717246fb73", + "api_calls": 0, + "input_tokens": 14940, + "cached_input_tokens": 13696, + "output_tokens": 369, + "total_tokens": 15309, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 18613.23, + "sql_execution_elapsed_ms_total": 12.05, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_daceb7717246fb73/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_daceb7717246fb73/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_daceb7717246fb73/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..bf2a435c03a76457edc5dced3f27147d6e27b79f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_daceb7717246fb73/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:30:36.831255+00:00", + "ended_at": "2026-05-19T15:30:55.444528+00:00", + "elapsed_ms": 18613.23, + "prompt_metrics": { + "chars": 9389, + "bytes_utf8": 9389, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1367, + "bytes_utf8": 1367, + "lines": 6, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 356, + "bytes_utf8": 356, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14940, + "cached_input_tokens": 13696, + "output_tokens": 369, + "reasoning_output_tokens": 268 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_daceb7717246fb73/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_daceb7717246fb73/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7538a82bdd3a9a7e2181ade0e8bd0a68dda812e9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_daceb7717246fb73/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=feature_7, measure_col=feature_7.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "feature_7", + "measure_col": "feature_7", + "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": 74.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_daceb7717246fb73/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_daceb7717246fb73/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c058fd6b76d6f660f6eb27816e40a657dcec466b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_daceb7717246fb73/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,6 @@ +{"type":"thread.started","thread_id":"019e40dc-41af-7e00-a331-f0c87d49a494"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 15575. Please try again in 467ms. 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 1986617, Requested 15575. Please try again in 65ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"feature_7\\\", SUM(CAST(\\\"feature_7\\\" AS REAL)) AS total_measure\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_7\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Uses the required Grouped Numeric Sum template with group_col=feature_7 and measure_col=feature_7. CAST is applied because the column is stored as TEXT in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14940,"cached_input_tokens":13696,"output_tokens":369,"reasoning_output_tokens":268}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_daceb7717246fb73/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_daceb7717246fb73/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a78e59448f837472518de501b8cc9e03f3c4b5c2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_daceb7717246fb73/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"feature_7\", SUM(CAST(\"feature_7\" AS REAL)) AS total_measure\nFROM \"n9\"\nGROUP BY \"feature_7\"\nORDER BY total_measure DESC;","notes":"Uses the required Grouped Numeric Sum template with group_col=feature_7 and measure_col=feature_7. CAST is applied because the column is stored as TEXT in SQLite."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_daceb7717246fb73/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_daceb7717246fb73/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_dfa9a6f1954c3b7e/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_dfa9a6f1954c3b7e/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a49279d67a94c564d8b519c38afca23eb55e9b45 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_dfa9a6f1954c3b7e/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9566, "bytes_utf8": 9566, "lines": 300, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 1955, "bytes_utf8": 1955, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14978, "cached_input_tokens": 13696, "output_tokens": 3264, "reasoning_output_tokens": 2588}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_dfa9a6f1954c3b7e/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_dfa9a6f1954c3b7e/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a62b2103724a60c91ebd1a71f07a6c1ed09b1a59 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_dfa9a6f1954c3b7e/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_dfa9a6f1954c3b7e", + "api_calls": 0, + "input_tokens": 14978, + "cached_input_tokens": 13696, + "output_tokens": 3264, + "total_tokens": 18242, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 47701.21, + "sql_execution_elapsed_ms_total": 51.43, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_dfa9a6f1954c3b7e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_dfa9a6f1954c3b7e/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_dfa9a6f1954c3b7e/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e60f8e341d292d733e84a7d0096e29c2d0a71a58 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_dfa9a6f1954c3b7e/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": "2026-05-19T15:52:36.192932+00:00", + "ended_at": "2026-05-19T15:53:23.894170+00:00", + "elapsed_ms": 47701.21, + "prompt_metrics": { + "chars": 9566, + "bytes_utf8": 9566, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2586, + "bytes_utf8": 2586, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 1955, + "bytes_utf8": 1955, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14978, + "cached_input_tokens": 13696, + "output_tokens": 3264, + "reasoning_output_tokens": 2588 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_dfa9a6f1954c3b7e/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_dfa9a6f1954c3b7e/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b7f9cce2d3fa77c9600ebfe97d7c300b1bd2bc05 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_dfa9a6f1954c3b7e/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=feature_3, measure_col=feature_8.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "feature_3", + "measure_col": "feature_8", + "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": 64.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_dfa9a6f1954c3b7e/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_dfa9a6f1954c3b7e/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..906e09178edd2b010427f0b88567540a675adf62 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_dfa9a6f1954c3b7e/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f0-6366-7720-8d8f-53ef2349f76e"} +{"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 \\\"feature_3\\\" AS \\\"feature_3\\\",\\n CAST(\\\"feature_8\\\" AS REAL) AS \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"feature_3\\\"\\n ORDER BY CAST(\\\"feature_8\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"feature_3\\\"\\n ) AS \\\"n\\\"\\n FROM \\\"n9\\\"\\n WHERE \\\"feature_3\\\" IS NOT NULL\\n AND \\\"feature_8\\\" IS NOT NULL\\n),\\n\\\"eligible\\\" AS (\\n SELECT DISTINCT\\n \\\"feature_3\\\",\\n \\\"n\\\",\\n (1.0 + 0.9 * (\\\"n\\\" - 1)) AS \\\"target_rn\\\",\\n CAST((1.0 + 0.9 * (\\\"n\\\" - 1)) AS INTEGER) AS \\\"frn\\\",\\n CASE\\n WHEN (1.0 + 0.9 * (\\\"n\\\" - 1)) = CAST((1.0 + 0.9 * (\\\"n\\\" - 1)) AS INTEGER)\\n THEN CAST((1.0 + 0.9 * (\\\"n\\\" - 1)) AS INTEGER)\\n ELSE CAST((1.0 + 0.9 * (\\\"n\\\" - 1)) AS INTEGER) + 1\\n END AS \\\"crn\\\"\\n FROM \\\"ordered\\\"\\n WHERE \\\"n\\\" >= 5\\n),\\n\\\"picked\\\" AS (\\n SELECT\\n o.\\\"feature_3\\\",\\n e.\\\"target_rn\\\",\\n e.\\\"frn\\\",\\n e.\\\"crn\\\",\\n MAX(CASE WHEN o.\\\"rn\\\" = e.\\\"frn\\\" THEN o.\\\"measure_value\\\" END) AS \\\"lower_value\\\",\\n MAX(CASE WHEN o.\\\"rn\\\" = e.\\\"crn\\\" THEN o.\\\"measure_value\\\" END) AS \\\"upper_value\\\"\\n FROM \\\"ordered\\\" AS o\\n INNER JOIN \\\"eligible\\\" AS e\\n ON o.\\\"feature_3\\\" = e.\\\"feature_3\\\"\\n GROUP BY\\n o.\\\"feature_3\\\",\\n e.\\\"target_rn\\\",\\n e.\\\"frn\\\",\\n e.\\\"crn\\\"\\n)\\nSELECT\\n \\\"feature_3\\\",\\n CASE\\n WHEN \\\"frn\\\" = \\\"crn\\\" THEN \\\"lower_value\\\"\\n ELSE \\\"lower_value\\\" + (\\\"target_rn\\\" - \\\"frn\\\") * (\\\"upper_value\\\" - \\\"lower_value\\\")\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"picked\\\"\\nORDER BY \\\"percentile_measure\\\" DESC\\nLIMIT 12;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this emulates the 0.9 continuous percentile for CAST(\\\"feature_8\\\" AS REAL) within each \\\"feature_3\\\" group using row-number interpolation. It also applies the provided minimum group size of 5 and returns the top 12 groups by percentile value.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14978,"cached_input_tokens":13696,"output_tokens":3264,"reasoning_output_tokens":2588}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_dfa9a6f1954c3b7e/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_dfa9a6f1954c3b7e/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5e49692e423cb169d0e24ea8da4cdef5e6b68bd6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_dfa9a6f1954c3b7e/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ordered\" AS (\n SELECT\n \"feature_3\" AS \"feature_3\",\n CAST(\"feature_8\" AS REAL) AS \"measure_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"feature_3\"\n ORDER BY CAST(\"feature_8\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"feature_3\"\n ) AS \"n\"\n FROM \"n9\"\n WHERE \"feature_3\" IS NOT NULL\n AND \"feature_8\" IS NOT NULL\n),\n\"eligible\" AS (\n SELECT DISTINCT\n \"feature_3\",\n \"n\",\n (1.0 + 0.9 * (\"n\" - 1)) AS \"target_rn\",\n CAST((1.0 + 0.9 * (\"n\" - 1)) AS INTEGER) AS \"frn\",\n CASE\n WHEN (1.0 + 0.9 * (\"n\" - 1)) = CAST((1.0 + 0.9 * (\"n\" - 1)) AS INTEGER)\n THEN CAST((1.0 + 0.9 * (\"n\" - 1)) AS INTEGER)\n ELSE CAST((1.0 + 0.9 * (\"n\" - 1)) AS INTEGER) + 1\n END AS \"crn\"\n FROM \"ordered\"\n WHERE \"n\" >= 5\n),\n\"picked\" AS (\n SELECT\n o.\"feature_3\",\n e.\"target_rn\",\n e.\"frn\",\n e.\"crn\",\n MAX(CASE WHEN o.\"rn\" = e.\"frn\" THEN o.\"measure_value\" END) AS \"lower_value\",\n MAX(CASE WHEN o.\"rn\" = e.\"crn\" THEN o.\"measure_value\" END) AS \"upper_value\"\n FROM \"ordered\" AS o\n INNER JOIN \"eligible\" AS e\n ON o.\"feature_3\" = e.\"feature_3\"\n GROUP BY\n o.\"feature_3\",\n e.\"target_rn\",\n e.\"frn\",\n e.\"crn\"\n)\nSELECT\n \"feature_3\",\n CASE\n WHEN \"frn\" = \"crn\" THEN \"lower_value\"\n ELSE \"lower_value\" + (\"target_rn\" - \"frn\") * (\"upper_value\" - \"lower_value\")\n END AS \"percentile_measure\"\nFROM \"picked\"\nORDER BY \"percentile_measure\" DESC\nLIMIT 12;","notes":"SQLite does not support PERCENTILE_CONT, so this emulates the 0.9 continuous percentile for CAST(\"feature_8\" AS REAL) within each \"feature_3\" group using row-number interpolation. It also applies the provided minimum group size of 5 and returns the top 12 groups by percentile value."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_dfa9a6f1954c3b7e/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_dfa9a6f1954c3b7e/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_dfc49103d5d0e0cf/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_dfc49103d5d0e0cf/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..46242a8c725a49aaf108953db1b45a337153cbdd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_dfc49103d5d0e0cf/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10186, "bytes_utf8": 10186, "lines": 303, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 627, "bytes_utf8": 627, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15145, "cached_input_tokens": 13696, "output_tokens": 604, "reasoning_output_tokens": 422}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_dfc49103d5d0e0cf/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_dfc49103d5d0e0cf/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..7f13503895c2fe41eed8ebd052bdfe92839d4f4b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_dfc49103d5d0e0cf/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_dfc49103d5d0e0cf", + "api_calls": 0, + "input_tokens": 15145, + "cached_input_tokens": 13696, + "output_tokens": 604, + "total_tokens": 15749, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11356.85, + "sql_execution_elapsed_ms_total": 9.63, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_dfc49103d5d0e0cf/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_dfc49103d5d0e0cf/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_dfc49103d5d0e0cf/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..82b791e2ba560d75a273e237e1c02f7a5a1edbfa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_dfc49103d5d0e0cf/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": "2026-05-19T15:39:50.531541+00:00", + "ended_at": "2026-05-19T15:40:01.888423+00:00", + "elapsed_ms": 11356.85, + "prompt_metrics": { + "chars": 10186, + "bytes_utf8": 10186, + "lines": 303, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1000, + "bytes_utf8": 1000, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 627, + "bytes_utf8": 627, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15145, + "cached_input_tokens": 13696, + "output_tokens": 604, + "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_a/n9/artifacts/v2q_n9_dfc49103d5d0e0cf/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_dfc49103d5d0e0cf/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ea7983f9548bb3a1d71651803b3237dc81f32dcc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_dfc49103d5d0e0cf/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,303 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=feature_4, condition_col=class.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "feature_4", + "condition_col": "class", + "condition_value": "2", + "positive_value": "2", + "negative_value": "4", + "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": 86.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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_a/n9/artifacts/v2q_n9_dfc49103d5d0e0cf/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_dfc49103d5d0e0cf/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..3aba033cf6b89104a9751469d4f5a0a81283c347 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_dfc49103d5d0e0cf/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e4-b47d-7970-923a-8205302ba75e"} +{"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 \\\"feature_4\\\",\\n SUM(CASE WHEN \\\"class\\\" = '2' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"class\\\" = '4' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"n9\\\"\\n GROUP BY \\\"feature_4\\\"\\n)\\nSELECT \\\"feature_4\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Grouped by \\\"feature_4\\\" and computed the ratio of rows where \\\"class\\\" = '2' to rows where \\\"class\\\" = '4'. NULLIF prevents division by zero.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15145,"cached_input_tokens":13696,"output_tokens":604,"reasoning_output_tokens":422}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_dfc49103d5d0e0cf/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_dfc49103d5d0e0cf/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..317ab2d8820a0d398d94b8ef85185dc5c8d55c93 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_dfc49103d5d0e0cf/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT \"feature_4\",\n SUM(CASE WHEN \"class\" = '2' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"class\" = '4' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"n9\"\n GROUP BY \"feature_4\"\n)\nSELECT \"feature_4\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;","notes":"Grouped by \"feature_4\" and computed the ratio of rows where \"class\" = '2' to rows where \"class\" = '4'. NULLIF prevents division by zero."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_dfc49103d5d0e0cf/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_dfc49103d5d0e0cf/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e0da7089da8b1ad2/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e0da7089da8b1ad2/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..8f960080804951e04c6c04f21e54c0f0ba84b106 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e0da7089da8b1ad2/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:02:37.431048+00:00", + "ended_at": "2026-05-19T16:02:40.785387+00:00", + "elapsed_ms": 3354.31, + "returncode": 1, + "prompt_metrics": { + "chars": 9630, + "bytes_utf8": 9630, + "lines": 303, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e0da7089da8b1ad2/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e0da7089da8b1ad2/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..cd75c69c60997c22a1fd02c20a97f06b3b46c09d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e0da7089da8b1ad2/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": "2026-05-19T16:02:41.787570+00:00", + "ended_at": "2026-05-19T16:02:44.842726+00:00", + "elapsed_ms": 3055.11, + "returncode": 1, + "prompt_metrics": { + "chars": 9630, + "bytes_utf8": 9630, + "lines": 303, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e0da7089da8b1ad2/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e0da7089da8b1ad2/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..fa8004a5827b32d07457e7928f2aeb1d2b966316 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e0da7089da8b1ad2/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,303 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=feature_16, condition_col=class.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "feature_16", + "condition_col": "class", + "condition_value": "4", + "positive_value": "2", + "negative_value": "4", + "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": 78.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_e0da7089da8b1ad2/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e0da7089da8b1ad2/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..fa8004a5827b32d07457e7928f2aeb1d2b966316 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e0da7089da8b1ad2/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,303 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=feature_16, condition_col=class.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "feature_16", + "condition_col": "class", + "condition_value": "4", + "positive_value": "2", + "negative_value": "4", + "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": 78.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_e0da7089da8b1ad2/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e0da7089da8b1ad2/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f22575f4cfc02b695114c6e91bcee0010e5d3a79 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e0da7089da8b1ad2/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-900d-78c3-adbf-29bd8f35ec47"} +{"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_a/n9/artifacts/v2q_n9_e0da7089da8b1ad2/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e0da7089da8b1ad2/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9ec9e4daa784827c99e30659b04d67962b7f0209 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e0da7089da8b1ad2/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-900d-78c3-adbf-29bd8f35ec47"} +{"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_a/n9/artifacts/v2q_n9_e0da7089da8b1ad2/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e0da7089da8b1ad2/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..074b7d006ef54a1e1a088189ffa2cb64dbfd0ceb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e0da7089da8b1ad2/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-a10e-7463-b566-55f0a9b6bfa1"} +{"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_a/n9/artifacts/v2q_n9_e0da7089da8b1ad2/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e0da7089da8b1ad2/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..3037e0d2723dae45d192aac71991f88ea3b2b1dd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e0da7089da8b1ad2/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-a10e-7463-b566-55f0a9b6bfa1"} +{"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_a/n9/artifacts/v2q_n9_e0da7089da8b1ad2/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e0da7089da8b1ad2/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e0da7089da8b1ad2/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e0da7089da8b1ad2/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e1d9a6bafe125200/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e1d9a6bafe125200/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a126255fe77682e9ae402898b44fa49fecfa8f20 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e1d9a6bafe125200/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9807, "bytes_utf8": 9807, "lines": 302, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 769, "bytes_utf8": 769, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15060, "cached_input_tokens": 12032, "output_tokens": 730, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e1d9a6bafe125200/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e1d9a6bafe125200/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..08ed9bf741c1a1886c6fc0f4ffe4960bc9ab1d48 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e1d9a6bafe125200/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_e1d9a6bafe125200", + "api_calls": 0, + "input_tokens": 15060, + "cached_input_tokens": 12032, + "output_tokens": 730, + "total_tokens": 15790, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13611.9, + "sql_execution_elapsed_ms_total": 37.78, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e1d9a6bafe125200/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e1d9a6bafe125200/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e1d9a6bafe125200/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..36ddcc20d15cc3b409bca41fcf57e612ceb02b69 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e1d9a6bafe125200/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": "2026-05-19T15:37:04.922849+00:00", + "ended_at": "2026-05-19T15:37:18.534792+00:00", + "elapsed_ms": 13611.9, + "prompt_metrics": { + "chars": 9807, + "bytes_utf8": 9807, + "lines": 302, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1152, + "bytes_utf8": 1152, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 769, + "bytes_utf8": 769, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15060, + "cached_input_tokens": 12032, + "output_tokens": 730, + "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_a/n9/artifacts/v2q_n9_e1d9a6bafe125200/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e1d9a6bafe125200/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a2bb8305b2dcd571cf7483a24a986c2c802e44d7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e1d9a6bafe125200/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,302 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=feature_13, measure_col=feature_14.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "feature_13", + "measure_col": "feature_14", + "item_col": "feature_15", + "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": 36.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_e1d9a6bafe125200/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e1d9a6bafe125200/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e21b2134d01cc09290d2f1b00a343504367485b0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e1d9a6bafe125200/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e2-2dad-7e62-8a7a-aff6ba1a684f"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"feature_13\\\",\\n \\\"feature_15\\\",\\n SUM(CAST(\\\"feature_14\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"feature_14\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"feature_14\\\" AS REAL))) OVER (PARTITION BY \\\"feature_13\\\") AS share_within_group\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_13\\\", \\\"feature_15\\\"\\nORDER BY share_within_group DESC\\nLIMIT 19;\",\"notes\":\"Applied the requested Within-Group Share of Total template with group_col=\\\"feature_13\\\", item_col=\\\"feature_15\\\", and measure_col=\\\"feature_14\\\". CAST to REAL is used because the schema stores these fields as TEXT. Added LIMIT 19 from the provided top_k binding; other extra bindings were not used because they are not part of this template's runtime skeleton.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15060,"cached_input_tokens":12032,"output_tokens":730,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e1d9a6bafe125200/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e1d9a6bafe125200/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2d33f8d6c532fbbd316c3de1d384bb0009da18cf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e1d9a6bafe125200/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"feature_13\",\n \"feature_15\",\n SUM(CAST(\"feature_14\" AS REAL)) AS total_measure,\n SUM(CAST(\"feature_14\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"feature_14\" AS REAL))) OVER (PARTITION BY \"feature_13\") AS share_within_group\nFROM \"n9\"\nGROUP BY \"feature_13\", \"feature_15\"\nORDER BY share_within_group DESC\nLIMIT 19;","notes":"Applied the requested Within-Group Share of Total template with group_col=\"feature_13\", item_col=\"feature_15\", and measure_col=\"feature_14\". CAST to REAL is used because the schema stores these fields as TEXT. Added LIMIT 19 from the provided top_k binding; other extra bindings were not used because they are not part of this template's runtime skeleton."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e1d9a6bafe125200/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e1d9a6bafe125200/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e20292875979cc05/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e20292875979cc05/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5f047736f5a3f3d6a70bed53e34a6d8e8c06302a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e20292875979cc05/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9462, "bytes_utf8": 9462, "lines": 300, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 440, "bytes_utf8": 440, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14946, "cached_input_tokens": 12032, "output_tokens": 247, "reasoning_output_tokens": 134}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e20292875979cc05/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e20292875979cc05/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..d69c32e6f0e155182bce2da84d881b9bb521d138 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e20292875979cc05/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_e20292875979cc05", + "api_calls": 0, + "input_tokens": 14946, + "cached_input_tokens": 12032, + "output_tokens": 247, + "total_tokens": 15193, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 7700.23, + "sql_execution_elapsed_ms_total": 25.57, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e20292875979cc05/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e20292875979cc05/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e20292875979cc05/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..cff78f7bcaea1a2beea52de142bbc6fc88eb58cb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e20292875979cc05/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": "2026-05-19T16:08:38.540820+00:00", + "ended_at": "2026-05-19T16:08:46.241078+00:00", + "elapsed_ms": 7700.23, + "prompt_metrics": { + "chars": 9462, + "bytes_utf8": 9462, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 798, + "bytes_utf8": 798, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 440, + "bytes_utf8": 440, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14946, + "cached_input_tokens": 12032, + "output_tokens": 247, + "reasoning_output_tokens": 134 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e20292875979cc05/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e20292875979cc05/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d37fb3f1bb75207c6111eaaa860849f079f86c4d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e20292875979cc05/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=class, measure_col=feature_8.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "class", + "measure_col": "feature_8", + "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": 64.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_e20292875979cc05/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e20292875979cc05/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e45bc4f8e8f8c44f748a9f27ed8b2ffe009a9112 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e20292875979cc05/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-128b-7c82-9bd7-42724fed7d49"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT \\\"class\\\",\\n AVG(CAST(\\\"feature_8\\\" AS REAL)) OVER (PARTITION BY \\\"class\\\") AS avg_measure\\nFROM \\\"n9\\\"\\nORDER BY avg_measure DESC;\",\"notes\":\"Applied the provided Window Partition Average template with group_col=\\\"class\\\" and measure_col=\\\"feature_8\\\". Cast \\\"feature_8\\\" to REAL because the schema stores it as TEXT, and AVG should operate numerically in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14946,"cached_input_tokens":12032,"output_tokens":247,"reasoning_output_tokens":134}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e20292875979cc05/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e20292875979cc05/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..320e735e3ec686399bcd9bd7fd6a4aa00b5bb61d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e20292875979cc05/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_window_partition_avg\nSELECT DISTINCT \"class\",\n AVG(CAST(\"feature_8\" AS REAL)) OVER (PARTITION BY \"class\") AS avg_measure\nFROM \"n9\"\nORDER BY avg_measure DESC;","notes":"Applied the provided Window Partition Average template with group_col=\"class\" and measure_col=\"feature_8\". Cast \"feature_8\" to REAL because the schema stores it as TEXT, and AVG should operate numerically in SQLite."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e20292875979cc05/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e20292875979cc05/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e5e996e21b5329e8/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e5e996e21b5329e8/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..782aeedb772344b96ff2f8de846f62f644147075 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e5e996e21b5329e8/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9388, "bytes_utf8": 9388, "lines": 300, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 384, "bytes_utf8": 384, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14940, "cached_input_tokens": 12032, "output_tokens": 314, "reasoning_output_tokens": 209}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e5e996e21b5329e8/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e5e996e21b5329e8/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..f68ec6c0422ff83af5de5fa389f454d864262d2d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e5e996e21b5329e8/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_e5e996e21b5329e8", + "api_calls": 0, + "input_tokens": 14940, + "cached_input_tokens": 12032, + "output_tokens": 314, + "total_tokens": 15254, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11270.01, + "sql_execution_elapsed_ms_total": 12.09, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e5e996e21b5329e8/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e5e996e21b5329e8/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e5e996e21b5329e8/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ba21f2f949bce7d7eae955d19da69ee9a3a9a6d4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e5e996e21b5329e8/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": "2026-05-19T15:31:04.903646+00:00", + "ended_at": "2026-05-19T15:31:16.173695+00:00", + "elapsed_ms": 11270.01, + "prompt_metrics": { + "chars": 9388, + "bytes_utf8": 9388, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 738, + "bytes_utf8": 738, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 384, + "bytes_utf8": 384, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14940, + "cached_input_tokens": 12032, + "output_tokens": 314, + "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_a/n9/artifacts/v2q_n9_e5e996e21b5329e8/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e5e996e21b5329e8/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..37fce57ed49fb2dcda996b1eddb8708e77784954 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e5e996e21b5329e8/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=feature_8, measure_col=feature_8.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "feature_8", + "measure_col": "feature_8", + "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": 64.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_e5e996e21b5329e8/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e5e996e21b5329e8/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..4882befcb4e6bd676bfb79328b10de2edfb85d19 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e5e996e21b5329e8/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40dc-af61-70d1-961b-ce968498cdff"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"feature_8\\\", SUM(CAST(\\\"feature_8\\\" AS REAL)) AS total_measure\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_8\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Applied the provided Grouped Numeric Sum template with group_col=\\\"feature_8\\\" and measure_col=\\\"feature_8\\\". CAST is used because the schema stores numeric-looking values as TEXT in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14940,"cached_input_tokens":12032,"output_tokens":314,"reasoning_output_tokens":209}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e5e996e21b5329e8/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e5e996e21b5329e8/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d6704ab8ebc512fd01f81b1abf34b383809480d4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e5e996e21b5329e8/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"feature_8\", SUM(CAST(\"feature_8\" AS REAL)) AS total_measure\nFROM \"n9\"\nGROUP BY \"feature_8\"\nORDER BY total_measure DESC;","notes":"Applied the provided Grouped Numeric Sum template with group_col=\"feature_8\" and measure_col=\"feature_8\". CAST is used because the schema stores numeric-looking values as TEXT in SQLite."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e5e996e21b5329e8/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e5e996e21b5329e8/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e729a248d43a4026/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e729a248d43a4026/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..caee8694db37d1fee554b0a7d3f5c0d64996f8e2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e729a248d43a4026/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9702, "bytes_utf8": 9702, "lines": 304, "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": 475, "bytes_utf8": 475, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15036, "cached_input_tokens": 13696, "output_tokens": 340, "reasoning_output_tokens": 205}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e729a248d43a4026/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e729a248d43a4026/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..ecf596ca4744515c75d441c17a2529427fb83103 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e729a248d43a4026/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_e729a248d43a4026", + "api_calls": 0, + "input_tokens": 15036, + "cached_input_tokens": 13696, + "output_tokens": 340, + "total_tokens": 15376, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8369.59, + "sql_execution_elapsed_ms_total": 3.79, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e729a248d43a4026/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e729a248d43a4026/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e729a248d43a4026/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d3a78768b95ddab5fc8a02d7ccd5d1bd4f11b40c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e729a248d43a4026/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": "2026-05-19T15:41:36.136489+00:00", + "ended_at": "2026-05-19T15:41:44.506103+00:00", + "elapsed_ms": 8369.59, + "prompt_metrics": { + "chars": 9702, + "bytes_utf8": 9702, + "lines": 304, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 830, + "bytes_utf8": 830, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 475, + "bytes_utf8": 475, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15036, + "cached_input_tokens": 13696, + "output_tokens": 340, + "reasoning_output_tokens": 205 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e729a248d43a4026/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e729a248d43a4026/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..43257bfb72f926a7ddddc9e77e6c625a1f143aaf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e729a248d43a4026/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,304 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_c2_filtered_group_count_2d", + "template_name": "Filtered Two-Dimensional Group Count", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;", + "required_roles": [ + "group_col", + "group_col_2", + "predicate_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "n9", + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=feature_4, group_col_2=feature_9.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "feature_4", + "group_col_2": "feature_9", + "predicate_col": "feature_16", + "predicate_op": ">=", + "predicate_value": 51.0, + "top_k": 14, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 100.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e729a248d43a4026/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e729a248d43a4026/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5c85d927ca3992029791e9aa5c7aa344f164d3b2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e729a248d43a4026/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e6-5129-7330-a6a5-b23fc35df4b7"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"feature_4\\\", \\\"feature_9\\\", COUNT(*) AS row_count\\nFROM \\\"n9\\\"\\nWHERE CAST(\\\"feature_16\\\" AS REAL) >= 51.0\\nGROUP BY \\\"feature_4\\\", \\\"feature_9\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Applied the provided filtered two-dimensional group count template with group_col=feature_4, group_col_2=feature_9, and predicate_col=feature_16. Used CAST(... AS REAL) because the schema stores numeric-looking fields as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15036,"cached_input_tokens":13696,"output_tokens":340,"reasoning_output_tokens":205}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e729a248d43a4026/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e729a248d43a4026/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2e01fd5a359a6f3bb0af620925a9d23ac11daa24 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e729a248d43a4026/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"feature_4\", \"feature_9\", COUNT(*) AS row_count\nFROM \"n9\"\nWHERE CAST(\"feature_16\" AS REAL) >= 51.0\nGROUP BY \"feature_4\", \"feature_9\"\nORDER BY row_count DESC;","notes":"Applied the provided filtered two-dimensional group count template with group_col=feature_4, group_col_2=feature_9, and predicate_col=feature_16. Used CAST(... AS REAL) because the schema stores numeric-looking fields as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e729a248d43a4026/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e729a248d43a4026/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e7a2bcbffad2c378/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e7a2bcbffad2c378/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ced1d6ba20e1256b2db7d6b77386970b33755551 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e7a2bcbffad2c378/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:03:05.526867+00:00", + "ended_at": "2026-05-19T16:03:09.922421+00:00", + "elapsed_ms": 4395.52, + "returncode": 1, + "prompt_metrics": { + "chars": 9631, + "bytes_utf8": 9631, + "lines": 303, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e7a2bcbffad2c378/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e7a2bcbffad2c378/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..85a2a6018db349ea2c584af7d342eeba72a9ee47 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e7a2bcbffad2c378/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:03:10.924670+00:00", + "ended_at": "2026-05-19T16:03:14.260554+00:00", + "elapsed_ms": 3335.84, + "returncode": 1, + "prompt_metrics": { + "chars": 9631, + "bytes_utf8": 9631, + "lines": 303, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e7a2bcbffad2c378/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e7a2bcbffad2c378/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..da1d671722eabbed2788ed1868202b4d5188c82f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e7a2bcbffad2c378/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,303 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=feature_1, condition_col=class.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "feature_1", + "condition_col": "class", + "condition_value": "2", + "positive_value": "2", + "negative_value": "4", + "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": 74.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_e7a2bcbffad2c378/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e7a2bcbffad2c378/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..da1d671722eabbed2788ed1868202b4d5188c82f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e7a2bcbffad2c378/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,303 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=feature_1, condition_col=class.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "feature_1", + "condition_col": "class", + "condition_value": "2", + "positive_value": "2", + "negative_value": "4", + "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": 74.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_e7a2bcbffad2c378/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e7a2bcbffad2c378/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..98f1c4ba56e44f24a0e6e460cbd32280d0380d62 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e7a2bcbffad2c378/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-fdb2-7153-b5c2-548972ad4205"} +{"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_a/n9/artifacts/v2q_n9_e7a2bcbffad2c378/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e7a2bcbffad2c378/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b904c788e71168ce727bbb928c7899fc9a4b7a2c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e7a2bcbffad2c378/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-fdb2-7153-b5c2-548972ad4205"} +{"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_a/n9/artifacts/v2q_n9_e7a2bcbffad2c378/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e7a2bcbffad2c378/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..213e2108c32e228fba97da0e8575111838992153 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e7a2bcbffad2c378/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-12ed-7ce2-bcf4-00c42f00fd1c"} +{"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_a/n9/artifacts/v2q_n9_e7a2bcbffad2c378/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e7a2bcbffad2c378/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..d56145f3aad1c9d883cf4207e0132dbe2601f141 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e7a2bcbffad2c378/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-12ed-7ce2-bcf4-00c42f00fd1c"} +{"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_a/n9/artifacts/v2q_n9_e7a2bcbffad2c378/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e7a2bcbffad2c378/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e7a2bcbffad2c378/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e7a2bcbffad2c378/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e94aa6e012d8d33c/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e94aa6e012d8d33c/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..cd9e065f42477bf121c8e5f6ff4dcefdc4c8e3ec --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e94aa6e012d8d33c/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9477, "bytes_utf8": 9477, "lines": 300, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 407, "bytes_utf8": 407, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14952, "cached_input_tokens": 12032, "output_tokens": 299, "reasoning_output_tokens": 193}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e94aa6e012d8d33c/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e94aa6e012d8d33c/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..9350ec6d78c4b30c46e4b5bc8abe9e7997b54d34 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e94aa6e012d8d33c/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_e94aa6e012d8d33c", + "api_calls": 0, + "input_tokens": 14952, + "cached_input_tokens": 12032, + "output_tokens": 299, + "total_tokens": 15251, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9534.91, + "sql_execution_elapsed_ms_total": 30.33, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e94aa6e012d8d33c/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e94aa6e012d8d33c/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e94aa6e012d8d33c/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a40b5d3c60cc50a3aa9c8cfbdc165da5163dcc4b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e94aa6e012d8d33c/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:07:53.607645+00:00", + "ended_at": "2026-05-19T16:08:03.142582+00:00", + "elapsed_ms": 9534.91, + "prompt_metrics": { + "chars": 9477, + "bytes_utf8": 9477, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 761, + "bytes_utf8": 761, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 407, + "bytes_utf8": 407, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14952, + "cached_input_tokens": 12032, + "output_tokens": 299, + "reasoning_output_tokens": 193 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e94aa6e012d8d33c/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e94aa6e012d8d33c/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d363df0d7e276233550587a67ed227a7c72259c2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e94aa6e012d8d33c/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=feature_14, measure_col=feature_5.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "feature_14", + "measure_col": "feature_5", + "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": 78.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_e94aa6e012d8d33c/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e94aa6e012d8d33c/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..0323cf734960b9e4711511e0305b6919617a9a2a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e94aa6e012d8d33c/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-630a-78e2-bce8-1c3eefbca86b"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT \\\"feature_14\\\",\\n AVG(CAST(\\\"feature_5\\\" AS REAL)) OVER (PARTITION BY \\\"feature_14\\\") AS avg_measure\\nFROM \\\"n9\\\"\\nORDER BY avg_measure DESC;\",\"notes\":\"Used the specified Window Partition Average template with group_col=\\\"feature_14\\\" and measure_col=\\\"feature_5\\\". CAST was added because the schema stores numeric fields as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14952,"cached_input_tokens":12032,"output_tokens":299,"reasoning_output_tokens":193}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e94aa6e012d8d33c/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e94aa6e012d8d33c/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7e85399ebc2143f701ac9de3e8699e04098afdca --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e94aa6e012d8d33c/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_window_partition_avg\nSELECT DISTINCT \"feature_14\",\n AVG(CAST(\"feature_5\" AS REAL)) OVER (PARTITION BY \"feature_14\") AS avg_measure\nFROM \"n9\"\nORDER BY avg_measure DESC;","notes":"Used the specified Window Partition Average template with group_col=\"feature_14\" and measure_col=\"feature_5\". CAST was added 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_a/n9/artifacts/v2q_n9_e94aa6e012d8d33c/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e94aa6e012d8d33c/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ea89d21353c80cf2/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ea89d21353c80cf2/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4ff56be1493440d2e036c9cfe647852837889500 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ea89d21353c80cf2/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9327, "bytes_utf8": 9327, "lines": 298, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 379, "bytes_utf8": 379, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14927, "cached_input_tokens": 13696, "output_tokens": 323, "reasoning_output_tokens": 212}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ea89d21353c80cf2/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ea89d21353c80cf2/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..1dc98783cb66ec27dd34ce3e829f7ee1444f5281 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ea89d21353c80cf2/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_ea89d21353c80cf2", + "api_calls": 0, + "input_tokens": 14927, + "cached_input_tokens": 13696, + "output_tokens": 323, + "total_tokens": 15250, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8926.07, + "sql_execution_elapsed_ms_total": 2.06, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ea89d21353c80cf2/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ea89d21353c80cf2/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ea89d21353c80cf2/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..01da830feac97ec88ac0db953a56ae7fcf673402 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ea89d21353c80cf2/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:04:03.563269+00:00", + "ended_at": "2026-05-19T16:04:12.489364+00:00", + "elapsed_ms": 8926.07, + "prompt_metrics": { + "chars": 9327, + "bytes_utf8": 9327, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 727, + "bytes_utf8": 727, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 379, + "bytes_utf8": 379, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14927, + "cached_input_tokens": 13696, + "output_tokens": 323, + "reasoning_output_tokens": 212 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ea89d21353c80cf2/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ea89d21353c80cf2/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c1510131e8b0245fabd29afa75f62601b2a75fd2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ea89d21353c80cf2/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=feature_15.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "feature_15", + "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": 100.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_ea89d21353c80cf2/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ea89d21353c80cf2/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..0d71943196198bd7232aa0725a192ce1ad4ec06f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ea89d21353c80cf2/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-e07f-7582-ba19-94a39d26f628"} +{"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(\\\"feature_15\\\" AS REAL) <= 100.0 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"n9\\\";\",\"notes\":\"Used the requested Threshold Rarity CDF template with measure_col bound to \\\"feature_15\\\" and threshold 100.0. Casted \\\"feature_15\\\" to REAL because the SQLite schema stores features as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14927,"cached_input_tokens":13696,"output_tokens":323,"reasoning_output_tokens":212}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ea89d21353c80cf2/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ea89d21353c80cf2/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b212dbd73a3c7cd9684ef6d3f84c233def963583 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ea89d21353c80cf2/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_threshold_rarity_cdf\nSELECT AVG(CASE WHEN CAST(\"feature_15\" AS REAL) <= 100.0 THEN 1 ELSE 0 END) AS \"empirical_cdf_at_threshold\"\nFROM \"n9\";","notes":"Used the requested Threshold Rarity CDF template with measure_col bound to \"feature_15\" and threshold 100.0. Casted \"feature_15\" to REAL because the SQLite schema stores features as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ea89d21353c80cf2/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ea89d21353c80cf2/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_eadfcbae38ae6a9f/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_eadfcbae38ae6a9f/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c53ea77af6ea2c452efe616d1de04e08b3b24002 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_eadfcbae38ae6a9f/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9297, "bytes_utf8": 9297, "lines": 298, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 291, "bytes_utf8": 291, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14911, "cached_input_tokens": 13696, "output_tokens": 291, "reasoning_output_tokens": 205}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_eadfcbae38ae6a9f/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_eadfcbae38ae6a9f/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..e3599c218a407c11b71ff1c8317b6ffb29aeadc4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_eadfcbae38ae6a9f/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_eadfcbae38ae6a9f", + "api_calls": 0, + "input_tokens": 14911, + "cached_input_tokens": 13696, + "output_tokens": 291, + "total_tokens": 15202, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 32032.51, + "sql_execution_elapsed_ms_total": 11.37, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_eadfcbae38ae6a9f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_eadfcbae38ae6a9f/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_eadfcbae38ae6a9f/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..61c101af98e64ed464100bc3887d24c6534f9c3b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_eadfcbae38ae6a9f/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": "2026-05-19T15:33:43.278558+00:00", + "ended_at": "2026-05-19T15:34:15.311106+00:00", + "elapsed_ms": 32032.51, + "prompt_metrics": { + "chars": 9297, + "bytes_utf8": 9297, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2980, + "bytes_utf8": 2980, + "lines": 11, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 291, + "bytes_utf8": 291, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14911, + "cached_input_tokens": 13696, + "output_tokens": 291, + "reasoning_output_tokens": 205 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_eadfcbae38ae6a9f/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_eadfcbae38ae6a9f/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6091a08a483942a3f91ca9568e02893ec98538c4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_eadfcbae38ae6a9f/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=feature_3.", + "planned_template_id": "tpl_clickbench_group_count", + "bindings": { + "group_col": "feature_3", + "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": 100.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_eadfcbae38ae6a9f/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_eadfcbae38ae6a9f/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..593ca2c09c7e3963870776089a4ee7858dcf39ee --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_eadfcbae38ae6a9f/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,11 @@ +{"type":"thread.started","thread_id":"019e40df-19fe-7b91-a705-481effa60b97"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 15546. Please try again in 466ms. 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 1991303, Requested 15546. Please try again in 205ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 4/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 15546. Please try again in 466ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 5/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1992770, Requested 15546. Please try again in 249ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 1/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 15546. Please try again in 466ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"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 1989353, Requested 15546. Please try again in 146ms. 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 1996810, Requested 15546. Please try again in 370ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"feature_3\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_3\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Applied the Grouped Count by Category template with group_col bound to \\\"feature_3\\\" on the single table \\\"n9\\\".\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14911,"cached_input_tokens":13696,"output_tokens":291,"reasoning_output_tokens":205}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_eadfcbae38ae6a9f/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_eadfcbae38ae6a9f/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1b253dfdf75c3583e749d2427ab3c2cd4ea40fd7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_eadfcbae38ae6a9f/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_clickbench_group_count\nSELECT \"feature_3\", COUNT(*) AS \"row_count\"\nFROM \"n9\"\nGROUP BY \"feature_3\"\nORDER BY \"row_count\" DESC;","notes":"Applied the Grouped Count by Category template with group_col bound to \"feature_3\" on the single table \"n9\"."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_eadfcbae38ae6a9f/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_eadfcbae38ae6a9f/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ecfe915eb89137f2/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ecfe915eb89137f2/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c14add6969c63b24799787908364afc30490c73b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ecfe915eb89137f2/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:05:19.273099+00:00", + "ended_at": "2026-05-19T16:05:23.878662+00:00", + "elapsed_ms": 4605.54, + "returncode": 1, + "prompt_metrics": { + "chars": 9376, + "bytes_utf8": 9376, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ecfe915eb89137f2/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ecfe915eb89137f2/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..eaf0599c664003b9b98efecfe368272b2f4b3d14 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ecfe915eb89137f2/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": "2026-05-19T16:05:24.881456+00:00", + "ended_at": "2026-05-19T16:05:27.924580+00:00", + "elapsed_ms": 3043.08, + "returncode": 1, + "prompt_metrics": { + "chars": 9376, + "bytes_utf8": 9376, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ecfe915eb89137f2/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ecfe915eb89137f2/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8a402b07e427974bf316747196775778d08f23b7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ecfe915eb89137f2/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=feature_3.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "feature_3", + "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": 54.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_ecfe915eb89137f2/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ecfe915eb89137f2/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..8a402b07e427974bf316747196775778d08f23b7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ecfe915eb89137f2/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=feature_3.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "feature_3", + "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": 54.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_ecfe915eb89137f2/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ecfe915eb89137f2/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..4804c3e80f2de11e09c935524014f7ce64499426 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ecfe915eb89137f2/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-0819-72e3-a92f-c994c77c0ee8"} +{"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_a/n9/artifacts/v2q_n9_ecfe915eb89137f2/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ecfe915eb89137f2/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..fcdbd222e3e76db41f40cf3392ff1515d18e31ff --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ecfe915eb89137f2/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-0819-72e3-a92f-c994c77c0ee8"} +{"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_a/n9/artifacts/v2q_n9_ecfe915eb89137f2/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ecfe915eb89137f2/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..1632b18fb05b9fc5a0d16f3fd64ff1af470c6678 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ecfe915eb89137f2/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-1e0f-7872-95fb-98a09b36fdb8"} +{"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_a/n9/artifacts/v2q_n9_ecfe915eb89137f2/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ecfe915eb89137f2/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..24581967d894751810b84787d736403f52ca2c60 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ecfe915eb89137f2/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-1e0f-7872-95fb-98a09b36fdb8"} +{"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_a/n9/artifacts/v2q_n9_ecfe915eb89137f2/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ecfe915eb89137f2/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ecfe915eb89137f2/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ecfe915eb89137f2/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_eef9b6c1f9418df7/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_eef9b6c1f9418df7/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..49d7dbdd2cad4a78f1b7f68fa04b5c3c1891a2cc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_eef9b6c1f9418df7/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9945, "bytes_utf8": 9945, "lines": 300, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 633, "bytes_utf8": 633, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15076, "cached_input_tokens": 12032, "output_tokens": 330, "reasoning_output_tokens": 159}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_eef9b6c1f9418df7/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_eef9b6c1f9418df7/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..cac33c7bb5c6b2d25647b3af56ef7ea818f21059 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_eef9b6c1f9418df7/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"feature_9\", SUM(CAST(\"feature_13\" AS REAL)) AS group_value\n FROM \"n9\"\n GROUP BY \"feature_9\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"feature_9\", 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=\"feature_9\" and measure_col=\"feature_13\". CAST 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_a/n9/artifacts/v2q_n9_f10689617a003e3d/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f10689617a003e3d/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ecb09ea92b90e1df63371d652fba2bf669507b7d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f10689617a003e3d/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9297, "bytes_utf8": 9297, "lines": 298, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 289, "bytes_utf8": 289, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14911, "cached_input_tokens": 12032, "output_tokens": 193, "reasoning_output_tokens": 110}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f10689617a003e3d/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f10689617a003e3d/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..65f4870caaffaf707a0803721c170baade229d12 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f10689617a003e3d/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_f10689617a003e3d", + "api_calls": 0, + "input_tokens": 14911, + "cached_input_tokens": 12032, + "output_tokens": 193, + "total_tokens": 15104, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11754.18, + "sql_execution_elapsed_ms_total": 10.9, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f10689617a003e3d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f10689617a003e3d/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f10689617a003e3d/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..3979e719bddcc2ad668c40ce0dc16db46ee92a16 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f10689617a003e3d/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": "2026-05-19T15:33:05.247141+00:00", + "ended_at": "2026-05-19T15:33:17.001356+00:00", + "elapsed_ms": 11754.18, + "prompt_metrics": { + "chars": 9297, + "bytes_utf8": 9297, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 639, + "bytes_utf8": 639, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 289, + "bytes_utf8": 289, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14911, + "cached_input_tokens": 12032, + "output_tokens": 193, + "reasoning_output_tokens": 110 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f10689617a003e3d/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f10689617a003e3d/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4aba626e7f9987962ea741e5277e322f2681078b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f10689617a003e3d/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=feature_1.", + "planned_template_id": "tpl_clickbench_group_count", + "bindings": { + "group_col": "feature_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": 100.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_f10689617a003e3d/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f10689617a003e3d/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..cc9cc6553c4b5633469072931eaab6e448d7a712 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f10689617a003e3d/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40de-8578-7d31-a4ec-add36458c4ce"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"feature_1\\\", COUNT(*) AS row_count\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_1\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Uses the provided Grouped Count by Category template with group_col bound to \\\"feature_1\\\" on the single table \\\"n9\\\".\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14911,"cached_input_tokens":12032,"output_tokens":193,"reasoning_output_tokens":110}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f10689617a003e3d/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f10689617a003e3d/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a66ad1f489ae061d925bcbaa90e0146c6e947841 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f10689617a003e3d/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_clickbench_group_count\nSELECT \"feature_1\", COUNT(*) AS row_count\nFROM \"n9\"\nGROUP BY \"feature_1\"\nORDER BY row_count DESC;","notes":"Uses the provided Grouped Count by Category template with group_col bound to \"feature_1\" on the single table \"n9\"."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f10689617a003e3d/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f10689617a003e3d/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f2b1c2dfd33a98f6/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f2b1c2dfd33a98f6/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..020999451893efb92ed1639da422d5a6550c20f5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f2b1c2dfd33a98f6/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": "2026-05-19T16:09:39.895862+00:00", + "ended_at": "2026-05-19T16:09:43.258504+00:00", + "elapsed_ms": 3362.62, + "returncode": 1, + "prompt_metrics": { + "chars": 9476, + "bytes_utf8": 9476, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f2b1c2dfd33a98f6/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f2b1c2dfd33a98f6/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..0e4bc1ab8ef32808a713307c4c3ab1856efea983 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f2b1c2dfd33a98f6/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": "2026-05-19T16:09:44.260529+00:00", + "ended_at": "2026-05-19T16:09:47.434387+00:00", + "elapsed_ms": 3173.83, + "returncode": 1, + "prompt_metrics": { + "chars": 9476, + "bytes_utf8": 9476, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f2b1c2dfd33a98f6/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f2b1c2dfd33a98f6/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..64440668ae44fa59e0c087dfdfd12bc5a12a23ca --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f2b1c2dfd33a98f6/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=feature_3, measure_col=feature_11.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "feature_3", + "measure_col": "feature_11", + "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": 89.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_f2b1c2dfd33a98f6/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f2b1c2dfd33a98f6/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..64440668ae44fa59e0c087dfdfd12bc5a12a23ca --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f2b1c2dfd33a98f6/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=feature_3, measure_col=feature_11.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "feature_3", + "measure_col": "feature_11", + "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": 89.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_f2b1c2dfd33a98f6/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f2b1c2dfd33a98f6/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..62a130d408f8621ea82c9a3d51597fd9a6134a36 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f2b1c2dfd33a98f6/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-024d-7913-825f-207da208f8e3"} +{"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_a/n9/artifacts/v2q_n9_f2b1c2dfd33a98f6/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f2b1c2dfd33a98f6/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..47cced5dc8aa118bd6154d4c525300afa8f489ff --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f2b1c2dfd33a98f6/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-024d-7913-825f-207da208f8e3"} +{"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_a/n9/artifacts/v2q_n9_f2b1c2dfd33a98f6/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f2b1c2dfd33a98f6/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..fd18e69f0a84b390ad57d79b0d33afcf70bc743c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f2b1c2dfd33a98f6/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-133f-74c2-9c84-e4c7610bfc79"} +{"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_a/n9/artifacts/v2q_n9_f2b1c2dfd33a98f6/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f2b1c2dfd33a98f6/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..6955c2c0a322ae60b0400d36386a68f024c7260e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f2b1c2dfd33a98f6/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-133f-74c2-9c84-e4c7610bfc79"} +{"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_a/n9/artifacts/v2q_n9_f2b1c2dfd33a98f6/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f2b1c2dfd33a98f6/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f2b1c2dfd33a98f6/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f2b1c2dfd33a98f6/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f4506e3dfaee1d4d/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f4506e3dfaee1d4d/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6df6af9804c7f80fa5122427699c18e9b8ee7884 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f4506e3dfaee1d4d/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9630, "bytes_utf8": 9630, "lines": 303, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 401, "bytes_utf8": 401, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14997, "cached_input_tokens": 12032, "output_tokens": 422, "reasoning_output_tokens": 307}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f4506e3dfaee1d4d/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f4506e3dfaee1d4d/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..863041c9d68b3ef77a287ac943e9822f6cc0cc83 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f4506e3dfaee1d4d/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_f4506e3dfaee1d4d", + "api_calls": 0, + "input_tokens": 14997, + "cached_input_tokens": 12032, + "output_tokens": 422, + "total_tokens": 15419, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10319.95, + "sql_execution_elapsed_ms_total": 6.41, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f4506e3dfaee1d4d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f4506e3dfaee1d4d/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f4506e3dfaee1d4d/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6a424f34f29e3b168649a3bc316573c0cf933228 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f4506e3dfaee1d4d/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:01:08.864325+00:00", + "ended_at": "2026-05-19T16:01:19.184296+00:00", + "elapsed_ms": 10319.95, + "prompt_metrics": { + "chars": 9630, + "bytes_utf8": 9630, + "lines": 303, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 764, + "bytes_utf8": 764, + "lines": 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": 14997, + "cached_input_tokens": 12032, + "output_tokens": 422, + "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_a/n9/artifacts/v2q_n9_f4506e3dfaee1d4d/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f4506e3dfaee1d4d/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..38d9f3c577fbf27be57800b5e4501549cd4c72e0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f4506e3dfaee1d4d/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,303 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=feature_12, condition_col=class.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "feature_12", + "condition_col": "class", + "condition_value": "4", + "positive_value": "2", + "negative_value": "4", + "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": 65.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_f4506e3dfaee1d4d/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f4506e3dfaee1d4d/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b29b25adf14df3f10461570c8ae8abbd2f9fdde1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f4506e3dfaee1d4d/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-362d-7941-b430-a49b51abfa64"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"feature_12\\\",\\n AVG(CASE WHEN \\\"class\\\" = '4' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_12\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Uses the Grouped Condition Rate template with group_col=\\\"feature_12\\\" and condition_col=\\\"class\\\", measuring the rate of class='4' within each feature_12 group.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14997,"cached_input_tokens":12032,"output_tokens":422,"reasoning_output_tokens":307}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f4506e3dfaee1d4d/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f4506e3dfaee1d4d/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2d5125cdce1bb6c1c591e338faa132673a54a8d5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f4506e3dfaee1d4d/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"feature_12\",\n AVG(CASE WHEN \"class\" = '4' THEN 1 ELSE 0 END) AS \"condition_rate\"\nFROM \"n9\"\nGROUP BY \"feature_12\"\nORDER BY \"condition_rate\" DESC;","notes":"Uses the Grouped Condition Rate template with group_col=\"feature_12\" and condition_col=\"class\", measuring the rate of class='4' within each feature_12 group."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f4506e3dfaee1d4d/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f4506e3dfaee1d4d/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f64c629fcaac3eed/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f64c629fcaac3eed/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ddba6d046efa78e9ae54398d721fe4495b5db4c3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f64c629fcaac3eed/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9806, "bytes_utf8": 9806, "lines": 302, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 629, "bytes_utf8": 629, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15060, "cached_input_tokens": 12032, "output_tokens": 865, "reasoning_output_tokens": 682}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f64c629fcaac3eed/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f64c629fcaac3eed/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..b5c86bd65c8a51d94a65842e09de61fefe510666 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f64c629fcaac3eed/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_f64c629fcaac3eed", + "api_calls": 0, + "input_tokens": 15060, + "cached_input_tokens": 12032, + "output_tokens": 865, + "total_tokens": 15925, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 16773.51, + "sql_execution_elapsed_ms_total": 36.25, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f64c629fcaac3eed/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f64c629fcaac3eed/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f64c629fcaac3eed/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4385dae12267613a307f1878455ee3eeeaf77d3e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f64c629fcaac3eed/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": "2026-05-19T15:37:59.981583+00:00", + "ended_at": "2026-05-19T15:38:16.755135+00:00", + "elapsed_ms": 16773.51, + "prompt_metrics": { + "chars": 9806, + "bytes_utf8": 9806, + "lines": 302, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1021, + "bytes_utf8": 1021, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 629, + "bytes_utf8": 629, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15060, + "cached_input_tokens": 12032, + "output_tokens": 865, + "reasoning_output_tokens": 682 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f64c629fcaac3eed/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f64c629fcaac3eed/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..129ec6772756cc57cf2a47897b8db1d41adff942 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f64c629fcaac3eed/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,302 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=feature_15, measure_col=feature_16.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "feature_15", + "measure_col": "feature_16", + "item_col": "feature_1", + "top_k": 16, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 33.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_f64c629fcaac3eed/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f64c629fcaac3eed/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..181b00bbb0ac5cc930a1f2ed7f9b6d6b9d746a0e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f64c629fcaac3eed/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e3-04cc-7260-b2c5-01d4c7e4c9ac"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"feature_15\\\", \\\"feature_1\\\",\\n SUM(CAST(\\\"feature_16\\\" AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(\\\"feature_16\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"feature_16\\\" AS REAL))) OVER (PARTITION BY \\\"feature_15\\\") AS \\\"share_within_group\\\"\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_15\\\", \\\"feature_1\\\"\\nORDER BY \\\"share_within_group\\\" DESC;\",\"notes\":\"Applied the Within-Group Share of Total template with group_col=\\\"feature_15\\\", item_col=\\\"feature_1\\\", and measure_col=\\\"feature_16\\\". The measure column is cast from TEXT to REAL so SQLite aggregates it numerically.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15060,"cached_input_tokens":12032,"output_tokens":865,"reasoning_output_tokens":682}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f64c629fcaac3eed/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f64c629fcaac3eed/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f1427e4c01f03210a473655e7d8cef8c74e47db3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f64c629fcaac3eed/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"feature_15\", \"feature_1\",\n SUM(CAST(\"feature_16\" AS REAL)) AS \"total_measure\",\n SUM(CAST(\"feature_16\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"feature_16\" AS REAL))) OVER (PARTITION BY \"feature_15\") AS \"share_within_group\"\nFROM \"n9\"\nGROUP BY \"feature_15\", \"feature_1\"\nORDER BY \"share_within_group\" DESC;","notes":"Applied the Within-Group Share of Total template with group_col=\"feature_15\", item_col=\"feature_1\", and measure_col=\"feature_16\". The measure column is cast from TEXT to REAL so SQLite aggregates it numerically."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f64c629fcaac3eed/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f64c629fcaac3eed/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f68981d7e5f043de/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f68981d7e5f043de/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a644c698cfc55f223f5f62b0b8eefa1d90c9ca21 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f68981d7e5f043de/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9947, "bytes_utf8": 9947, "lines": 300, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 697, "bytes_utf8": 697, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15076, "cached_input_tokens": 13696, "output_tokens": 669, "reasoning_output_tokens": 461}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f68981d7e5f043de/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f68981d7e5f043de/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..02a6dd0da9c239650fd1cbbd640f070bccc23313 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f68981d7e5f043de/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_f68981d7e5f043de", + "api_calls": 0, + "input_tokens": 15076, + "cached_input_tokens": 13696, + "output_tokens": 669, + "total_tokens": 15745, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14381.97, + "sql_execution_elapsed_ms_total": 7.02, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f68981d7e5f043de/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f68981d7e5f043de/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f68981d7e5f043de/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d12e2c95bc12839f7ad3fbd0b6cc40bf5bcc40ff --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f68981d7e5f043de/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": "2026-05-19T15:50:23.870619+00:00", + "ended_at": "2026-05-19T15:50:38.252621+00:00", + "elapsed_ms": 14381.97, + "prompt_metrics": { + "chars": 9947, + "bytes_utf8": 9947, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1117, + "bytes_utf8": 1117, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 697, + "bytes_utf8": 697, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15076, + "cached_input_tokens": 13696, + "output_tokens": 669, + "reasoning_output_tokens": 461 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f68981d7e5f043de/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f68981d7e5f043de/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ae0bbf34b5f3677e72132cf2742ab948a437d9bb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f68981d7e5f043de/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=feature_14, measure_col=feature_2.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "feature_14", + "measure_col": "feature_2", + "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": 96.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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_a/n9/artifacts/v2q_n9_f68981d7e5f043de/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f68981d7e5f043de/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f21172e80254187d1d06284173d4b495c6d5ca24 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f68981d7e5f043de/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ee-5e95-7fe2-9268-0661209a479b"} +{"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 \\\"feature_14\\\",\\n SUM(CAST(\\\"feature_2\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"n9\\\"\\n GROUP BY \\\"feature_14\\\"\\n),\\n\\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT\\n g.\\\"feature_14\\\",\\n g.\\\"group_value\\\"\\nFROM \\\"grouped\\\" AS g\\nCROSS JOIN \\\"total\\\" AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.05\\nORDER BY g.\\\"group_value\\\" DESC;\",\"notes\":\"Applies the Relative-to-Total Extreme Threshold template with group_col=\\\"feature_14\\\" and measure_col=\\\"feature_2\\\", casting the measure to REAL because the schema stores numeric fields as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15076,"cached_input_tokens":13696,"output_tokens":669,"reasoning_output_tokens":461}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f68981d7e5f043de/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f68981d7e5f043de/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d65a81bde71215d7d6fa4d248e561fe565b77152 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f68981d7e5f043de/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH \"grouped\" AS (\n SELECT\n \"feature_14\",\n SUM(CAST(\"feature_2\" AS REAL)) AS \"group_value\"\n FROM \"n9\"\n GROUP BY \"feature_14\"\n),\n\"total\" AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM \"grouped\"\n)\nSELECT\n g.\"feature_14\",\n g.\"group_value\"\nFROM \"grouped\" AS g\nCROSS JOIN \"total\" AS t\nWHERE g.\"group_value\" > t.\"total_value\" * 0.05\nORDER BY g.\"group_value\" DESC;","notes":"Applies the Relative-to-Total Extreme Threshold template with group_col=\"feature_14\" and measure_col=\"feature_2\", casting the measure 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_a/n9/artifacts/v2q_n9_f68981d7e5f043de/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f68981d7e5f043de/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f985f160ec9b97bf/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f985f160ec9b97bf/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1e0b457dfddacfbebb229bf3ce9838325fa30ce3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f985f160ec9b97bf/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9376, "bytes_utf8": 9376, "lines": 298, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "status": "failed", "error": "AI CLI command failed with exit code 1: "} +{"attempt": 2, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_2.txt", "metrics": {"chars": 9376, "bytes_utf8": 9376, "lines": 298, "estimated_tokens": null}} +{"attempt": 2, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_2.txt", "raw_content_path": "cli/sql_response_attempt_2.raw.txt", "stderr_path": "cli/sql_stderr_attempt_2.txt", "metrics": {"chars": 348, "bytes_utf8": 348, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14949, "cached_input_tokens": 13696, "output_tokens": 513, "reasoning_output_tokens": 411}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f985f160ec9b97bf/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f985f160ec9b97bf/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..579ba3142da235566c52a83c32c486d588d1ff3d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f985f160ec9b97bf/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_f985f160ec9b97bf", + "api_calls": 0, + "input_tokens": 14949, + "cached_input_tokens": 13696, + "output_tokens": 513, + "total_tokens": 15462, + "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": 15464.95, + "sql_execution_elapsed_ms_total": 4.24, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f985f160ec9b97bf/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f985f160ec9b97bf/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f985f160ec9b97bf/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..fac65907eb5493660d98ef5e165dbdb3e283d9a9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f985f160ec9b97bf/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:05:41.268616+00:00", + "ended_at": "2026-05-19T16:05:44.804792+00:00", + "elapsed_ms": 3536.15, + "returncode": 1, + "prompt_metrics": { + "chars": 9376, + "bytes_utf8": 9376, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f985f160ec9b97bf/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f985f160ec9b97bf/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..975c043b65c9da1393446543875d4f2c6e4537f6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f985f160ec9b97bf/cli/sql_attempt_2.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:05:45.807396+00:00", + "ended_at": "2026-05-19T16:05:57.736237+00:00", + "elapsed_ms": 11928.8, + "prompt_metrics": { + "chars": 9376, + "bytes_utf8": 9376, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 709, + "bytes_utf8": 709, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 348, + "bytes_utf8": 348, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14949, + "cached_input_tokens": 13696, + "output_tokens": 513, + "reasoning_output_tokens": 411 + } + }, + "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_a/n9/artifacts/v2q_n9_f985f160ec9b97bf/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f985f160ec9b97bf/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d12dff1e9fced3ce81fa9029d9d6eb9553a37f4f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f985f160ec9b97bf/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=feature_4.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "feature_4", + "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": 97.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_f985f160ec9b97bf/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f985f160ec9b97bf/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..d12dff1e9fced3ce81fa9029d9d6eb9553a37f4f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f985f160ec9b97bf/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=feature_4.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "feature_4", + "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": 97.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_f985f160ec9b97bf/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f985f160ec9b97bf/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..3c98398811a8f38b5d1ffb29cfc219d6f5743c3e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f985f160ec9b97bf/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-5e1e-7263-bd86-e11e1667f117"} +{"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_a/n9/artifacts/v2q_n9_f985f160ec9b97bf/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f985f160ec9b97bf/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3636569d364f6f2d551832e711e71782caf6e401 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f985f160ec9b97bf/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-5e1e-7263-bd86-e11e1667f117"} +{"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_a/n9/artifacts/v2q_n9_f985f160ec9b97bf/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f985f160ec9b97bf/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..8e01f40c293edb0cee02495a34f284262c274611 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f985f160ec9b97bf/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-6fda-72c3-ac16-b4e3d3ff6375"} +{"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 \\\"feature_4\\\",\\n COUNT(*) AS \\\"support\\\"\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_4\\\"\\nORDER BY \\\"support\\\" ASC, \\\"feature_4\\\"\\nLIMIT 12;\",\"notes\":\"Uses the planned Low-Support Group Count template with \\\"feature_4\\\" as the grouping column and returns the 12 least-supported groups.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14949,"cached_input_tokens":13696,"output_tokens":513,"reasoning_output_tokens":411}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f985f160ec9b97bf/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f985f160ec9b97bf/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..350d5adaceafa93d88b293bcb20e80c5d544c2ae --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f985f160ec9b97bf/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n \"feature_4\",\n COUNT(*) AS \"support\"\nFROM \"n9\"\nGROUP BY \"feature_4\"\nORDER BY \"support\" ASC, \"feature_4\"\nLIMIT 12;","notes":"Uses the planned Low-Support Group Count template with \"feature_4\" as the grouping column and returns the 12 least-supported groups."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f985f160ec9b97bf/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f985f160ec9b97bf/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f985f160ec9b97bf/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f985f160ec9b97bf/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_facd0269431f30bf/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_facd0269431f30bf/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d4d16dacaa326eff46c3a5fd583b6d46c357992c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_facd0269431f30bf/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:05:57.744573+00:00", + "ended_at": "2026-05-19T16:06:01.340580+00:00", + "elapsed_ms": 3595.97, + "returncode": 1, + "prompt_metrics": { + "chars": 9378, + "bytes_utf8": 9378, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_facd0269431f30bf/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_facd0269431f30bf/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..89c2ff7afc67af191027e0bbbc1ac44ccdf65513 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_facd0269431f30bf/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:06:02.343686+00:00", + "ended_at": "2026-05-19T16:06:05.590962+00:00", + "elapsed_ms": 3247.22, + "returncode": 1, + "prompt_metrics": { + "chars": 9378, + "bytes_utf8": 9378, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_facd0269431f30bf/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_facd0269431f30bf/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b2270bc08ee4c94455fe6382e182f07f40b3c3b8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_facd0269431f30bf/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role count_distribution. Focus on group_col=feature_4.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "feature_4", + "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": 97.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_facd0269431f30bf/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_facd0269431f30bf/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..b2270bc08ee4c94455fe6382e182f07f40b3c3b8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_facd0269431f30bf/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role count_distribution. Focus on group_col=feature_4.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "feature_4", + "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": 97.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_facd0269431f30bf/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_facd0269431f30bf/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a938e8d8c484d347471f1d46305f10b9e5dca8ef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_facd0269431f30bf/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-9e78-7e73-ac0d-84a7b1c63401"} +{"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_a/n9/artifacts/v2q_n9_facd0269431f30bf/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_facd0269431f30bf/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1d37511880ef5be4265bcae2916688b4fbaa23ba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_facd0269431f30bf/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-9e78-7e73-ac0d-84a7b1c63401"} +{"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_a/n9/artifacts/v2q_n9_facd0269431f30bf/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_facd0269431f30bf/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..d1ea685af45a765694b527a9da6030b317683b36 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_facd0269431f30bf/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-b0f4-7272-ac94-e564c07dcf6e"} +{"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_a/n9/artifacts/v2q_n9_facd0269431f30bf/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_facd0269431f30bf/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..60dee456c4183b7cb245daa6dbac80522ae4a992 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_facd0269431f30bf/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-b0f4-7272-ac94-e564c07dcf6e"} +{"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_a/n9/artifacts/v2q_n9_facd0269431f30bf/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_facd0269431f30bf/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_facd0269431f30bf/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_facd0269431f30bf/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc0117fdb95c9de1/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc0117fdb95c9de1/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..bc3cda7f030880bd71ffbe7520100b1dfeaa0ada --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc0117fdb95c9de1/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9800, "bytes_utf8": 9800, "lines": 302, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 670, "bytes_utf8": 670, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15059, "cached_input_tokens": 13696, "output_tokens": 497, "reasoning_output_tokens": 303}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc0117fdb95c9de1/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc0117fdb95c9de1/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..38f2643846c3041c2b89137763ff74add0da048c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc0117fdb95c9de1/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_fc0117fdb95c9de1", + "api_calls": 0, + "input_tokens": 15059, + "cached_input_tokens": 13696, + "output_tokens": 497, + "total_tokens": 15556, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11067.91, + "sql_execution_elapsed_ms_total": 25.42, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc0117fdb95c9de1/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc0117fdb95c9de1/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc0117fdb95c9de1/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..24b4916251060a4ade94669197a6a49648677f1b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc0117fdb95c9de1/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": "2026-05-19T15:36:53.823162+00:00", + "ended_at": "2026-05-19T15:37:04.891109+00:00", + "elapsed_ms": 11067.91, + "prompt_metrics": { + "chars": 9800, + "bytes_utf8": 9800, + "lines": 302, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1055, + "bytes_utf8": 1055, + "lines": 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": 15059, + "cached_input_tokens": 13696, + "output_tokens": 497, + "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_a/n9/artifacts/v2q_n9_fc0117fdb95c9de1/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc0117fdb95c9de1/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..740a42a852098ec013392f16c01f2a00ce6936e1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc0117fdb95c9de1/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,302 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=feature_13, measure_col=feature_14.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "feature_13", + "measure_col": "feature_14", + "item_col": "feature_15", + "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": 47.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {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_a/n9/artifacts/v2q_n9_fc0117fdb95c9de1/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc0117fdb95c9de1/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..060da6c1040c744133d1f1ae4820c6f745604e49 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc0117fdb95c9de1/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e2-023c-78d0-b392-7a5742726e8d"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"feature_13\\\", \\\"feature_15\\\",\\n SUM(CAST(\\\"feature_14\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"feature_14\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"feature_14\\\" AS REAL))) OVER (PARTITION BY \\\"feature_13\\\") AS share_within_group\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_13\\\", \\\"feature_15\\\"\\nORDER BY share_within_group DESC\\nLIMIT 14;\",\"notes\":\"Applied the Within-Group Share of Total template with group_col=\\\"feature_13\\\", item_col=\\\"feature_15\\\", and measure_col=\\\"feature_14\\\". Cast \\\"feature_14\\\" to REAL because the SQLite schema stores features as TEXT. Added LIMIT 14 from the bound top_k value.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15059,"cached_input_tokens":13696,"output_tokens":497,"reasoning_output_tokens":303}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc0117fdb95c9de1/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc0117fdb95c9de1/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0c48afd07905e764ed01289a247cb1c290f635b3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc0117fdb95c9de1/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"feature_13\", \"feature_15\",\n SUM(CAST(\"feature_14\" AS REAL)) AS total_measure,\n SUM(CAST(\"feature_14\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"feature_14\" AS REAL))) OVER (PARTITION BY \"feature_13\") AS share_within_group\nFROM \"n9\"\nGROUP BY \"feature_13\", \"feature_15\"\nORDER BY share_within_group DESC\nLIMIT 14;","notes":"Applied the Within-Group Share of Total template with group_col=\"feature_13\", item_col=\"feature_15\", and measure_col=\"feature_14\". Cast \"feature_14\" to REAL because the SQLite schema stores features as TEXT. Added LIMIT 14 from the bound top_k value."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc0117fdb95c9de1/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc0117fdb95c9de1/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc2e1b951048317b/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc2e1b951048317b/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d7a5809f8e8c683fec2a768157175cc8182a79db --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc2e1b951048317b/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9559, "bytes_utf8": 9559, "lines": 298, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 547, "bytes_utf8": 547, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14991, "cached_input_tokens": 13696, "output_tokens": 482, "reasoning_output_tokens": 326}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc2e1b951048317b/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc2e1b951048317b/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..110fa4b4d96e16dd00bf9236779e670ebbdf7572 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc2e1b951048317b/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_fc2e1b951048317b", + "api_calls": 0, + "input_tokens": 14991, + "cached_input_tokens": 13696, + "output_tokens": 482, + "total_tokens": 15473, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10439.4, + "sql_execution_elapsed_ms_total": 19.72, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc2e1b951048317b/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc2e1b951048317b/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc2e1b951048317b/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..869bc8b13ec129f69702601c1944b105b430cdf3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc2e1b951048317b/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:44:29.221079+00:00", + "ended_at": "2026-05-19T15:44:39.660502+00:00", + "elapsed_ms": 10439.4, + "prompt_metrics": { + "chars": 9559, + "bytes_utf8": 9559, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 914, + "bytes_utf8": 914, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 547, + "bytes_utf8": 547, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14991, + "cached_input_tokens": 13696, + "output_tokens": 482, + "reasoning_output_tokens": 326 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc2e1b951048317b/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc2e1b951048317b/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ddae94be4ceb4ce28020570d7a94d7493fc4af67 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc2e1b951048317b/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=feature_16.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "bindings": { + "measure_col": "feature_16", + "top_k": 13, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 51.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "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_a/n9/artifacts/v2q_n9_fc2e1b951048317b/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc2e1b951048317b/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6790eff3b91147a126b8156dce9cff39bd5dc2c5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc2e1b951048317b/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e8-f52f-7501-b570-e1ed81574957"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n SELECT CAST(\\\"feature_16\\\" AS REAL) AS \\\"feature_16\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"feature_16\\\" AS REAL) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"n9\\\"\\n)\\nSELECT \\\"feature_16\\\"\\nFROM buckets\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"feature_16\\\" DESC;\",\"notes\":\"Applied the Quantile Tail Slice template with measure_col bound to feature_16 and num_tiles=10. CAST is used because the schema stores feature_16 as TEXT, but the task treats it as a numeric measure.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14991,"cached_input_tokens":13696,"output_tokens":482,"reasoning_output_tokens":326}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc2e1b951048317b/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc2e1b951048317b/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..573b8706f386302140b3f0768291611df4704545 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc2e1b951048317b/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_quantile_tail_slice\nWITH buckets AS (\n SELECT CAST(\"feature_16\" AS REAL) AS \"feature_16\",\n NTILE(10) OVER (ORDER BY CAST(\"feature_16\" AS REAL) DESC) AS \"tail_bucket\"\n FROM \"n9\"\n)\nSELECT \"feature_16\"\nFROM buckets\nWHERE \"tail_bucket\" = 1\nORDER BY \"feature_16\" DESC;","notes":"Applied the Quantile Tail Slice template with measure_col bound to feature_16 and num_tiles=10. CAST is used because the schema stores feature_16 as TEXT, but the task treats it as a numeric measure."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc2e1b951048317b/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc2e1b951048317b/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc69058e0c04deb5/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc69058e0c04deb5/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..29986eac8ec32e62e1c12e9d53778453682375e4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc69058e0c04deb5/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9298, "bytes_utf8": 9298, "lines": 298, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 295, "bytes_utf8": 295, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14911, "cached_input_tokens": 12032, "output_tokens": 206, "reasoning_output_tokens": 123}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc69058e0c04deb5/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc69058e0c04deb5/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..ad4d7017caf55d3f7b6ede74ac3cce634edef938 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc69058e0c04deb5/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_fc69058e0c04deb5", + "api_calls": 0, + "input_tokens": 14911, + "cached_input_tokens": 12032, + "output_tokens": 206, + "total_tokens": 15117, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10281.8, + "sql_execution_elapsed_ms_total": 9.56, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc69058e0c04deb5/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc69058e0c04deb5/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc69058e0c04deb5/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d93f12a33b16b3feb41f0df68a194a9233d6b8d3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc69058e0c04deb5/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": "2026-05-19T15:32:45.250268+00:00", + "ended_at": "2026-05-19T15:32:55.532115+00:00", + "elapsed_ms": 10281.8, + "prompt_metrics": { + "chars": 9298, + "bytes_utf8": 9298, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 645, + "bytes_utf8": 645, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 295, + "bytes_utf8": 295, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14911, + "cached_input_tokens": 12032, + "output_tokens": 206, + "reasoning_output_tokens": 123 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc69058e0c04deb5/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc69058e0c04deb5/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ad6fc1eaf8115d2a1a159198418b2baaff7d8749 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc69058e0c04deb5/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=feature_16.", + "planned_template_id": "tpl_clickbench_group_count", + "bindings": { + "group_col": "feature_16", + "top_k": 10, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 51.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc69058e0c04deb5/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc69058e0c04deb5/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a331b4167f4931f533790b0da28d8874d04a629a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc69058e0c04deb5/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40de-3752-7e83-8c48-ad2d47e35edb"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"feature_16\\\", COUNT(*) AS row_count\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_16\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Applied the provided Grouped Count by Category template with group_col bound to \\\"feature_16\\\" on the single table \\\"n9\\\".\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14911,"cached_input_tokens":12032,"output_tokens":206,"reasoning_output_tokens":123}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc69058e0c04deb5/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc69058e0c04deb5/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..79d7e882323d03a26d1fc79c32e5848dd134c765 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc69058e0c04deb5/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_clickbench_group_count\nSELECT \"feature_16\", COUNT(*) AS row_count\nFROM \"n9\"\nGROUP BY \"feature_16\"\nORDER BY row_count DESC;","notes":"Applied the provided Grouped Count by Category template with group_col bound to \"feature_16\" on the single table \"n9\"."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc69058e0c04deb5/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc69058e0c04deb5/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fe47df9acfdc2668/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fe47df9acfdc2668/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d5cb19fbaadb2040360b53e46c36ce4a7e9328de --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fe47df9acfdc2668/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": "2026-05-19T15:58:29.543337+00:00", + "ended_at": "2026-05-19T15:58:32.495808+00:00", + "elapsed_ms": 2952.45, + "returncode": 1, + "prompt_metrics": { + "chars": 9570, + "bytes_utf8": 9570, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fe47df9acfdc2668/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fe47df9acfdc2668/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f819ab604298d4dab292caa407b185a8e680f058 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fe47df9acfdc2668/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:58:33.497394+00:00", + "ended_at": "2026-05-19T15:58:36.737636+00:00", + "elapsed_ms": 3240.21, + "returncode": 1, + "prompt_metrics": { + "chars": 9570, + "bytes_utf8": 9570, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fe47df9acfdc2668/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fe47df9acfdc2668/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..95d8eb6890d3a9a5b51d0444452ae1a05c184977 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fe47df9acfdc2668/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=feature_8, measure_col=feature_13.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "feature_8", + "measure_col": "feature_13", + "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": 68.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_fe47df9acfdc2668/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fe47df9acfdc2668/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..95d8eb6890d3a9a5b51d0444452ae1a05c184977 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fe47df9acfdc2668/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=feature_8, measure_col=feature_13.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "feature_8", + "measure_col": "feature_13", + "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": 68.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_fe47df9acfdc2668/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fe47df9acfdc2668/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..2c28c439907655e060a8db9f7860af4fc25ddf1f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fe47df9acfdc2668/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f5-c7b3-7e73-b2df-9c4e48651488"} +{"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_a/n9/artifacts/v2q_n9_fe47df9acfdc2668/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fe47df9acfdc2668/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..297989d85ec7285ca2071695bb42c2a632a8db84 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fe47df9acfdc2668/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f5-c7b3-7e73-b2df-9c4e48651488"} +{"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_a/n9/artifacts/v2q_n9_fe47df9acfdc2668/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fe47df9acfdc2668/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..0a602e7af20feee4e944855fdc6a3fd7e2a872f9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fe47df9acfdc2668/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f5-d726-7fa0-bd6d-01cf9c3f1583"} +{"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_a/n9/artifacts/v2q_n9_fe47df9acfdc2668/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fe47df9acfdc2668/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..b870460d022ec289e3f6d20aca6e436fa8e924a0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fe47df9acfdc2668/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f5-d726-7fa0-bd6d-01cf9c3f1583"} +{"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_a/n9/artifacts/v2q_n9_fe47df9acfdc2668/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fe47df9acfdc2668/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fe47df9acfdc2668/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fe47df9acfdc2668/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff45febb889fd477/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff45febb889fd477/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b451fa02ee1808386a414f97107e98d7676fc2ca --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff45febb889fd477/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9570, "bytes_utf8": 9570, "lines": 300, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 1908, "bytes_utf8": 1908, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14978, "cached_input_tokens": 13696, "output_tokens": 3709, "reasoning_output_tokens": 3089}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff45febb889fd477/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff45febb889fd477/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..9064306c58ad34c716c78e47a94fa043ca27971b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff45febb889fd477/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_ff45febb889fd477", + "api_calls": 0, + "input_tokens": 14978, + "cached_input_tokens": 13696, + "output_tokens": 3709, + "total_tokens": 18687, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 56618.85, + "sql_execution_elapsed_ms_total": 53.01, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff45febb889fd477/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff45febb889fd477/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff45febb889fd477/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..37f748ad4e7f74e4de419bc6680104560ab7de76 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff45febb889fd477/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:56:13.061042+00:00", + "ended_at": "2026-05-19T15:57:09.679925+00:00", + "elapsed_ms": 56618.85, + "prompt_metrics": { + "chars": 9570, + "bytes_utf8": 9570, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2512, + "bytes_utf8": 2512, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 1908, + "bytes_utf8": 1908, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14978, + "cached_input_tokens": 13696, + "output_tokens": 3709, + "reasoning_output_tokens": 3089 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff45febb889fd477/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff45febb889fd477/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5be42718d30c72d1de57c961a7aa811784d47c6d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff45febb889fd477/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=feature_6, measure_col=feature_11.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "feature_6", + "measure_col": "feature_11", + "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": 89.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_ff45febb889fd477/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff45febb889fd477/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..59a074c63d039ca04cc4b03ff5aa143dcf935def --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff45febb889fd477/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f3-b27f-7991-a8f7-114026ef0a1d"} +{"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 \\\"feature_6\\\" AS \\\"group_col\\\",\\n CAST(\\\"feature_11\\\" AS REAL) AS \\\"measure\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"feature_6\\\"\\n ORDER BY CAST(\\\"feature_11\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"feature_6\\\") AS \\\"cnt\\\"\\n FROM \\\"n9\\\"\\n WHERE \\\"feature_6\\\" IS NOT NULL\\n AND \\\"feature_11\\\" IS NOT NULL\\n),\\n\\\"params\\\" AS (\\n SELECT\\n \\\"group_col\\\",\\n \\\"cnt\\\",\\n 1 + CAST((9 * (\\\"cnt\\\" - 1)) / 10 AS INTEGER) AS \\\"lower_rn\\\",\\n 1 + CAST((9 * (\\\"cnt\\\" - 1)) / 10 AS INTEGER)\\n + CASE WHEN ((9 * (\\\"cnt\\\" - 1)) % 10) = 0 THEN 0 ELSE 1 END AS \\\"upper_rn\\\",\\n ((9 * (\\\"cnt\\\" - 1)) % 10) / 10.0 AS \\\"frac\\\"\\n FROM (\\n SELECT DISTINCT \\\"group_col\\\", \\\"cnt\\\"\\n FROM \\\"ordered\\\"\\n )\\n WHERE \\\"cnt\\\" >= 5\\n)\\nSELECT\\n p.\\\"group_col\\\" AS \\\"feature_6\\\",\\n CASE\\n WHEN p.\\\"upper_rn\\\" = p.\\\"lower_rn\\\" THEN\\n MAX(CASE WHEN o.\\\"rn\\\" = p.\\\"lower_rn\\\" THEN o.\\\"measure\\\" END)\\n ELSE\\n MAX(CASE WHEN o.\\\"rn\\\" = p.\\\"lower_rn\\\" THEN o.\\\"measure\\\" END) +\\n p.\\\"frac\\\" * (\\n MAX(CASE WHEN o.\\\"rn\\\" = p.\\\"upper_rn\\\" THEN o.\\\"measure\\\" END) -\\n MAX(CASE WHEN o.\\\"rn\\\" = p.\\\"lower_rn\\\" THEN o.\\\"measure\\\" END)\\n )\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"params\\\" AS p\\nJOIN \\\"ordered\\\" AS o\\n ON o.\\\"group_col\\\" = p.\\\"group_col\\\"\\nGROUP BY p.\\\"group_col\\\", p.\\\"cnt\\\", p.\\\"lower_rn\\\", p.\\\"upper_rn\\\", p.\\\"frac\\\"\\nORDER BY \\\"percentile_measure\\\" DESC, CAST(p.\\\"group_col\\\" AS INTEGER) ASC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this query emulates the continuous 90th percentile of \\\"feature_11\\\" within each \\\"feature_6\\\" group using ordered window rows and linear interpolation. It also casts the TEXT measure to REAL and excludes groups with fewer than 5 rows using the provided min_group_size binding.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14978,"cached_input_tokens":13696,"output_tokens":3709,"reasoning_output_tokens":3089}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff45febb889fd477/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff45febb889fd477/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..dd36c830b0bb8309f59060ad3a0d0557d834ab72 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff45febb889fd477/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ordered\" AS (\n SELECT\n \"feature_6\" AS \"group_col\",\n CAST(\"feature_11\" AS REAL) AS \"measure\",\n ROW_NUMBER() OVER (\n PARTITION BY \"feature_6\"\n ORDER BY CAST(\"feature_11\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (PARTITION BY \"feature_6\") AS \"cnt\"\n FROM \"n9\"\n WHERE \"feature_6\" IS NOT NULL\n AND \"feature_11\" IS NOT NULL\n),\n\"params\" AS (\n SELECT\n \"group_col\",\n \"cnt\",\n 1 + CAST((9 * (\"cnt\" - 1)) / 10 AS INTEGER) AS \"lower_rn\",\n 1 + CAST((9 * (\"cnt\" - 1)) / 10 AS INTEGER)\n + CASE WHEN ((9 * (\"cnt\" - 1)) % 10) = 0 THEN 0 ELSE 1 END AS \"upper_rn\",\n ((9 * (\"cnt\" - 1)) % 10) / 10.0 AS \"frac\"\n FROM (\n SELECT DISTINCT \"group_col\", \"cnt\"\n FROM \"ordered\"\n )\n WHERE \"cnt\" >= 5\n)\nSELECT\n p.\"group_col\" AS \"feature_6\",\n CASE\n WHEN p.\"upper_rn\" = p.\"lower_rn\" THEN\n MAX(CASE WHEN o.\"rn\" = p.\"lower_rn\" THEN o.\"measure\" END)\n ELSE\n MAX(CASE WHEN o.\"rn\" = p.\"lower_rn\" THEN o.\"measure\" END) +\n p.\"frac\" * (\n MAX(CASE WHEN o.\"rn\" = p.\"upper_rn\" THEN o.\"measure\" END) -\n MAX(CASE WHEN o.\"rn\" = p.\"lower_rn\" THEN o.\"measure\" END)\n )\n END AS \"percentile_measure\"\nFROM \"params\" AS p\nJOIN \"ordered\" AS o\n ON o.\"group_col\" = p.\"group_col\"\nGROUP BY p.\"group_col\", p.\"cnt\", p.\"lower_rn\", p.\"upper_rn\", p.\"frac\"\nORDER BY \"percentile_measure\" DESC, CAST(p.\"group_col\" AS INTEGER) ASC;","notes":"SQLite does not support PERCENTILE_CONT, so this query emulates the continuous 90th percentile of \"feature_11\" within each \"feature_6\" group using ordered window rows and linear interpolation. It also casts the TEXT measure to REAL and excludes groups with fewer than 5 rows using the provided min_group_size binding."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff45febb889fd477/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff45febb889fd477/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff6d4453fa647527/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff6d4453fa647527/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e254a9b5249dca075cb3e13cfe55026450b90bd7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff6d4453fa647527/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9324, "bytes_utf8": 9324, "lines": 298, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 386, "bytes_utf8": 386, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14927, "cached_input_tokens": 12032, "output_tokens": 247, "reasoning_output_tokens": 137}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff6d4453fa647527/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff6d4453fa647527/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..ce8fa70552a58bc0e64f64559e0047a0ae00ed15 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff6d4453fa647527/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_ff6d4453fa647527", + "api_calls": 0, + "input_tokens": 14927, + "cached_input_tokens": 12032, + "output_tokens": 247, + "total_tokens": 15174, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8842.58, + "sql_execution_elapsed_ms_total": 1.72, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff6d4453fa647527/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff6d4453fa647527/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff6d4453fa647527/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..cd604942a0f2079392eb7753c350ef43d221e231 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff6d4453fa647527/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:04:55.436388+00:00", + "ended_at": "2026-05-19T16:05:04.279018+00:00", + "elapsed_ms": 8842.58, + "prompt_metrics": { + "chars": 9324, + "bytes_utf8": 9324, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 730, + "bytes_utf8": 730, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 386, + "bytes_utf8": 386, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14927, + "cached_input_tokens": 12032, + "output_tokens": 247, + "reasoning_output_tokens": 137 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff6d4453fa647527/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff6d4453fa647527/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e56ea35f08a35647b5aecd13e7dda594b0286110 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff6d4453fa647527/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=feature_5.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "feature_5", + "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": 78.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a/n9/artifacts/v2q_n9_ff6d4453fa647527/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff6d4453fa647527/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..eb10b0d99c6e57f7c0cf02fae96996916b27dc1d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff6d4453fa647527/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-ab22-7143-ad76-6a4e2aa65d79"} +{"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(\\\"feature_5\\\" AS REAL) <= 78.0 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"n9\\\";\",\"notes\":\"Used the provided Threshold Rarity CDF template with measure_col bound to \\\"feature_5\\\" and measure_threshold fixed at 78.0. CAST to REAL is included because the schema stores feature columns as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14927,"cached_input_tokens":12032,"output_tokens":247,"reasoning_output_tokens":137}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff6d4453fa647527/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff6d4453fa647527/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..54b6d2928aa6aaef1eae5874e50a10a904e36d1a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff6d4453fa647527/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_threshold_rarity_cdf\nSELECT AVG(CASE WHEN CAST(\"feature_5\" AS REAL) <= 78.0 THEN 1 ELSE 0 END) AS \"empirical_cdf_at_threshold\"\nFROM \"n9\";","notes":"Used the provided Threshold Rarity CDF template with measure_col bound to \"feature_5\" and measure_threshold fixed at 78.0. CAST to REAL is included because the schema stores feature columns as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff6d4453fa647527/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff6d4453fa647527/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391