diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_00963bbb241f6571/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_00963bbb241f6571/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a3a29e2d9dd8864fb82ae7b3b596d76d6bbfa53f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_00963bbb241f6571/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12590, "bytes_utf8": 12590, "lines": 400, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 486, "bytes_utf8": 486, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16155, "cached_input_tokens": 12032, "output_tokens": 659, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_00963bbb241f6571/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_00963bbb241f6571/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..ca6414504bc34ccb3b4885433ab9f9ad068cf030 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_00963bbb241f6571/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_00963bbb241f6571", + "api_calls": 0, + "input_tokens": 16155, + "cached_input_tokens": 12032, + "output_tokens": 659, + "total_tokens": 16814, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 19101.63, + "sql_execution_elapsed_ms_total": 160.39, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_00963bbb241f6571/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_00963bbb241f6571/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_00963bbb241f6571/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..5939fd5038b8e6f7853b4124c2023f4a5d76fa94 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_00963bbb241f6571/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": "2026-05-19T15:46:33.968747+00:00", + "ended_at": "2026-05-19T15:46:53.070417+00:00", + "elapsed_ms": 19101.63, + "prompt_metrics": { + "chars": 12590, + "bytes_utf8": 12590, + "lines": 400, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1194, + "bytes_utf8": 1194, + "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": 486, + "bytes_utf8": 486, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16155, + "cached_input_tokens": 12032, + "output_tokens": 659, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_00963bbb241f6571/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_00963bbb241f6571/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..37e9d9902e9c7235356daee5a22d8878ec7b5723 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_00963bbb241f6571/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,400 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=bin_3, group_col_2=nom_1.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "bin_3", + "group_col_2": "nom_1", + "predicate_col": "id", + "predicate_op": ">=", + "predicate_value": 509036.0, + "top_k": 10, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.75, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_00963bbb241f6571/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_00963bbb241f6571/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..82a4ec19a3dd14b7e1231e4a313a5ba615ed30f7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_00963bbb241f6571/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,5 @@ +{"type":"thread.started","thread_id":"019e40ea-dc94-7f63-a31e-52273d1de45d"} +{"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 1988333, Requested 16790. Please try again in 153ms. 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 \\\"bin_3\\\", \\\"nom_1\\\", COUNT(*) AS row_count\\nFROM \\\"c15\\\"\\nWHERE CAST(\\\"id\\\" AS REAL) >= 509036.0\\nGROUP BY \\\"bin_3\\\", \\\"nom_1\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Instantiated the provided filtered two-dimensional group count template with group_col=\\\"bin_3\\\", group_col_2=\\\"nom_1\\\", and predicate on \\\"id\\\". Used CAST(\\\"id\\\" AS REAL) because the schema stores \\\"id\\\" as TEXT while the bound predicate value is numeric.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16155,"cached_input_tokens":12032,"output_tokens":659,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_00963bbb241f6571/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_00963bbb241f6571/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8544810c9858d459366955217e14e9d8cc0deb6f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_00963bbb241f6571/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"bin_3\", \"nom_1\", COUNT(*) AS row_count\nFROM \"c15\"\nWHERE CAST(\"id\" AS REAL) >= 509036.0\nGROUP BY \"bin_3\", \"nom_1\"\nORDER BY row_count DESC;","notes":"Instantiated the provided filtered two-dimensional group count template with group_col=\"bin_3\", group_col_2=\"nom_1\", and predicate on \"id\". Used CAST(\"id\" AS REAL) because the schema stores \"id\" as TEXT while the bound predicate value is numeric."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_00963bbb241f6571/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_00963bbb241f6571/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_047e3a987f760c35/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_047e3a987f760c35/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..5f01789cea09b44de3086e735a06a6510a212be2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_047e3a987f760c35/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=ord_0, measure_col=id. +Result preview: [{"ord_0": "2.0", "nom_9": "717d31bdd", "total_measure": 53336880.0, "share_within_group": 0.11749679612185725}, {"ord_0": "3.0", "nom_9": "c5361037c", "total_measure": 63975937.0, "share_within_group": 0.11123597998336844}, {"ord_0": "2.0", "nom_9": "9d7b3d5d5", "total_measure": 49472166.0, "share_within_group": 0.1089831464121763}, {"ord_0": "1.0", "nom_9": "483535452", "total_measure": 72118952.0, "share_within_group": 0.10880020614191255}, {"ord_0": "3.0", "nom_9": "3bc419b1d", "total_measure": 61012679.0, "share_within_group": 0.10608371613182756}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_047e3a987f760c35/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_047e3a987f760c35/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..537ed9283a244778e0b54006feff50586157f7c9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_047e3a987f760c35/generated_sql.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c15 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: focused_target_view +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_c15_047e3a987f760c35 +-- problem_id: v2p_c15_7492c8f3b5d2d05e +-- realization_mode: agent +-- source_kind: agent +SELECT + "ord_0", + "nom_9", + SUM(CAST("id" AS REAL)) AS "total_measure", + SUM(CAST("id" AS REAL)) * 100.0 / SUM(SUM(CAST("id" AS REAL))) OVER (PARTITION BY "ord_0") AS "share_within_group" +FROM "c15" +WHERE "ord_0" IS NOT NULL AND "ord_0" <> '' + AND "nom_9" IS NOT NULL AND "nom_9" <> '' + AND "id" IS NOT NULL AND "id" <> '' +GROUP BY "ord_0", "nom_9" +HAVING COUNT(*) >= 4 +ORDER BY "share_within_group" DESC +LIMIT 18; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_047e3a987f760c35/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_047e3a987f760c35/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9294ab2d773ad3500ad6687a5a0e5a36da158988 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_047e3a987f760c35/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"ord_0\",\n \"nom_9\",\n SUM(CAST(\"id\" AS REAL)) AS \"total_measure\",\n SUM(CAST(\"id\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"id\" AS REAL))) OVER (PARTITION BY \"ord_0\") AS \"share_within_group\"\nFROM \"c15\"\nWHERE \"ord_0\" IS NOT NULL AND \"ord_0\" <> ''\n AND \"nom_9\" IS NOT NULL AND \"nom_9\" <> ''\n AND \"id\" IS NOT NULL AND \"id\" <> ''\nGROUP BY \"ord_0\", \"nom_9\"\nHAVING COUNT(*) >= 4\nORDER BY \"share_within_group\" DESC\nLIMIT 18;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"ord_0\\\",\\n \\\"nom_9\\\",\\n SUM(CAST(\\\"id\\\" AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(\\\"id\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"id\\\" AS REAL))) OVER (PARTITION BY \\\"ord_0\\\") AS \\\"share_within_group\\\"\\nFROM \\\"c15\\\"\\nWHERE \\\"ord_0\\\" IS NOT NULL AND \\\"ord_0\\\" <> ''\\n AND \\\"nom_9\\\" IS NOT NULL AND \\\"nom_9\\\" <> ''\\n AND \\\"id\\\" IS NOT NULL AND \\\"id\\\" <> ''\\nGROUP BY \\\"ord_0\\\", \\\"nom_9\\\"\\nHAVING COUNT(*) >= 4\\nORDER BY \\\"share_within_group\\\" DESC\\nLIMIT 18;\", \"columns\": [\"ord_0\", \"nom_9\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"ord_0\": \"2.0\", \"nom_9\": \"717d31bdd\", \"total_measure\": 53336880.0, \"share_within_group\": 0.11749679612185725}, {\"ord_0\": \"3.0\", \"nom_9\": \"c5361037c\", \"total_measure\": 63975937.0, \"share_within_group\": 0.11123597998336844}, {\"ord_0\": \"2.0\", \"nom_9\": \"9d7b3d5d5\", \"total_measure\": 49472166.0, \"share_within_group\": 0.1089831464121763}, {\"ord_0\": \"1.0\", \"nom_9\": \"483535452\", \"total_measure\": 72118952.0, \"share_within_group\": 0.10880020614191255}, {\"ord_0\": \"3.0\", \"nom_9\": \"3bc419b1d\", \"total_measure\": 61012679.0, \"share_within_group\": 0.10608371613182756}, {\"ord_0\": \"1.0\", \"nom_9\": \"9976322be\", \"total_measure\": 70124459.0, \"share_within_group\": 0.10579127099337347}, {\"ord_0\": \"3.0\", \"nom_9\": \"71375ae45\", \"total_measure\": 60838934.0, \"share_within_group\": 0.10578162293478365}, {\"ord_0\": \"1.0\", \"nom_9\": \"203149e41\", \"total_measure\": 68890514.0, \"share_within_group\": 0.10392971495789778}, {\"ord_0\": \"1.0\", \"nom_9\": \"956a98bcb\", \"total_measure\": 68865620.0, \"share_within_group\": 0.1038921593326899}, {\"ord_0\": \"3.0\", \"nom_9\": \"8f3276a6e\", \"total_measure\": 59738630.0, \"share_within_group\": 0.10386850685616145}, {\"ord_0\": \"2.0\", \"nom_9\": \"2fb5641aa\", \"total_measure\": 46809209.0, \"share_within_group\": 0.10311686935003332}, {\"ord_0\": \"3.0\", \"nom_9\": \"5e99ade9b\", \"total_measure\": 59253875.0, \"share_within_group\": 0.10302565562169125}, {\"ord_0\": \"2.0\", \"nom_9\": \"f37df64af\", \"total_measure\": 46538226.0, \"share_within_group\": 0.10251991590424704}, {\"ord_0\": \"1.0\", \"nom_9\": \"91e927321\", \"total_measure\": 67848648.0, \"share_within_group\": 0.10235793344376472}, {\"ord_0\": \"1.0\", \"nom_9\": \"8f3276a6e\", \"total_measure\": 67781649.0, \"share_within_group\": 0.10225685730761534}, {\"ord_0\": \"2.0\", \"nom_9\": \"2ead8fdf5\", \"total_measure\": 46402514.0, \"share_within_group\": 0.10222095343783938}, {\"ord_0\": \"2.0\", \"nom_9\": \"af2a16d75\", \"total_measure\": 46392173.0, \"share_within_group\": 0.10219817305832157}, {\"ord_0\": \"3.0\", \"nom_9\": \"a16717598\", \"total_measure\": 58739139.0, \"share_within_group\": 0.10213067594530575}], \"row_count_returned\": 18, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 715.22}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_047e3a987f760c35/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_047e3a987f760c35/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..a5e981fadc2902b98ec383949a91472d9721fb69 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_047e3a987f760c35/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c15", + "started_at": "2026-05-19T15:38:14.228368+00:00", + "ended_at": "2026-05-19T15:38:35.765067+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c15_047e3a987f760c35", + "problem_id": "v2p_c15_7492c8f3b5d2d05e", + "dataset_id": "c15", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=ord_0, measure_col=id.", + "bindings": { + "group_col": "ord_0", + "measure_col": "id", + "item_col": "nom_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": 502184.84, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=2/2", + "binding_index=28" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 5, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/sql/v2q_c15_047e3a987f760c35.sql", + "usage_summary": { + "dataset_id": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_047e3a987f760c35", + "api_calls": 0, + "input_tokens": 16175, + "cached_input_tokens": 12032, + "output_tokens": 1230, + "total_tokens": 17405, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 20788.01, + "sql_execution_elapsed_ms_total": 715.22, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_047e3a987f760c35/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_047e3a987f760c35/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_047e3a987f760c35/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..fd4cf3f2b89d728fb48ae9a84d5819051b1a42ff --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_047e3a987f760c35/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:38:35.047710+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 20788.01, "started_at": "2026-05-19T15:38:14.258880+00:00", "ended_at": "2026-05-19T15:38:35.046918+00:00", "prompt_metrics": {"chars": 12684, "bytes_utf8": 12684, "lines": 398, "estimated_tokens": null}, "response_metrics": {"chars": 760, "bytes_utf8": 760, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16175, "cached_input_tokens": 12032, "output_tokens": 1230, "reasoning_output_tokens": 978}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"ord_0\\\",\\n \\\"nom_9\\\",\\n SUM(CAST(\\\"id\\\" AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(\\\"id\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"id\\\" AS REAL))) OVER (PARTITION BY \\\"ord_0\\\") AS \\\"share_within_group\\\"\\nFROM \\\"c15\\\"\\nWHERE \\\"ord_0\\\" IS NOT NULL AND \\\"ord_0\\\" <> ''\\n AND \\\"nom_9\\\" IS NOT NULL AND \\\"nom_9\\\" <> ''\\n AND \\\"id\\\" IS NOT NULL AND \\\"id\\\" <> ''\\nGROUP BY \\\"ord_0\\\", \\\"nom_9\\\"\\nHAVING COUNT(*) >= 4\\nORDER BY \\\"share_within_group\\\" DESC\\nLIMIT 18;\",\"notes\":\"Uses the requested template with group_col=\\\"ord_0\\\", item_col=\\\"nom_9\\\", and measure_col=\\\"id\\\". \\\"id\\\" is cast from TEXT to REAL for SQLite aggregation, blank values are excluded, and min_support/top_k bindings are applied.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_047e3a987f760c35/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_047e3a987f760c35/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..e421fe725dfdddee97472b67999aa50acf7657c3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_047e3a987f760c35/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_047e3a987f760c35", + "api_calls": 0, + "input_tokens": 16175, + "cached_input_tokens": 12032, + "output_tokens": 1230, + "total_tokens": 17405, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 20788.01, + "sql_execution_elapsed_ms_total": 715.22, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_047e3a987f760c35/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_051c2b14bf40526c/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_051c2b14bf40526c/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..4dbf24c41e5c89b2ab6f6c52b96ed87950a7ece7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_051c2b14bf40526c/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=bin_4, measure_col=ord_0. +Result preview: [{"bin_4": "N", "total_measure": 590067.0}, {"bin_4": "Y", "total_measure": 509036.0}, {"bin_4": "", "total_measure": 34202.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_051c2b14bf40526c/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_051c2b14bf40526c/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..9c9b15dc2670958c5f644c3e6df420e0c5d58067 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_051c2b14bf40526c/generated_sql.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c15 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_rank_order +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_c15_051c2b14bf40526c +-- problem_id: v2p_c15_54ddee0f6fdca83f +-- realization_mode: agent +-- source_kind: agent +SELECT + "bin_4", + SUM(CAST(NULLIF("ord_0", '') AS REAL)) AS total_measure +FROM "c15" +GROUP BY "bin_4" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_051c2b14bf40526c/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_051c2b14bf40526c/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f4e8a13e8961947197935a03fbbbf5effc850de1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_051c2b14bf40526c/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_h2o_group_sum\nSELECT\n \"bin_4\",\n SUM(CAST(NULLIF(\"ord_0\", '') AS REAL)) AS total_measure\nFROM \"c15\"\nGROUP BY \"bin_4\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT\\n \\\"bin_4\\\",\\n SUM(CAST(NULLIF(\\\"ord_0\\\", '') AS REAL)) AS total_measure\\nFROM \\\"c15\\\"\\nGROUP BY \\\"bin_4\\\"\\nORDER BY total_measure DESC;\", \"columns\": [\"bin_4\", \"total_measure\"], \"rows\": [{\"bin_4\": \"N\", \"total_measure\": 590067.0}, {\"bin_4\": \"Y\", \"total_measure\": 509036.0}, {\"bin_4\": \"\", \"total_measure\": 34202.0}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 342.74}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_051c2b14bf40526c/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_051c2b14bf40526c/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..e473bf7bafcaefe63de753a75686046232147bf4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_051c2b14bf40526c/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c15", + "started_at": "2026-05-19T15:29:58.260330+00:00", + "ended_at": "2026-05-19T15:30:16.732808+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c15_051c2b14bf40526c", + "problem_id": "v2p_c15_54ddee0f6fdca83f", + "dataset_id": "c15", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_rank_order", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=bin_4, measure_col=ord_0.", + "bindings": { + "group_col": "bin_4", + "measure_col": "ord_0", + "top_k": 14, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2.5, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=1/2", + "binding_index=4" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/sql/v2q_c15_051c2b14bf40526c.sql", + "usage_summary": { + "dataset_id": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_051c2b14bf40526c", + "api_calls": 0, + "input_tokens": 16060, + "cached_input_tokens": 12032, + "output_tokens": 581, + "total_tokens": 16641, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 18091.98, + "sql_execution_elapsed_ms_total": 342.74, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_051c2b14bf40526c/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_051c2b14bf40526c/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_051c2b14bf40526c/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b8772489738ff289d2117b1cad18290b63dfb7a1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_051c2b14bf40526c/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:30:16.388194+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 18091.98, "started_at": "2026-05-19T15:29:58.294300+00:00", "ended_at": "2026-05-19T15:30:16.386319+00:00", "prompt_metrics": {"chars": 12280, "bytes_utf8": 12280, "lines": 396, "estimated_tokens": null}, "response_metrics": {"chars": 451, "bytes_utf8": 451, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16060, "cached_input_tokens": 12032, "output_tokens": 581, "reasoning_output_tokens": 452}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT\\n \\\"bin_4\\\",\\n SUM(CAST(NULLIF(\\\"ord_0\\\", '') AS REAL)) AS total_measure\\nFROM \\\"c15\\\"\\nGROUP BY \\\"bin_4\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Applies the planned grouped-sum template with group_col=\\\"bin_4\\\" and measure_col=\\\"ord_0\\\". Because \\\"ord_0\\\" is stored as TEXT and may contain empty strings, NULLIF plus CAST to REAL keeps the aggregation SQLite-compatible and skips missing values.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_051c2b14bf40526c/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_051c2b14bf40526c/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..de59c01b51070b2b2c1a8354d7c50cdf183ef95a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_051c2b14bf40526c/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_051c2b14bf40526c", + "api_calls": 0, + "input_tokens": 16060, + "cached_input_tokens": 12032, + "output_tokens": 581, + "total_tokens": 16641, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 18091.98, + "sql_execution_elapsed_ms_total": 342.74, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_051c2b14bf40526c/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_066dabea71ae6988/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_066dabea71ae6988/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..db2d4c387a1ec4198c8f40757e27b9c7c263ad47 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_066dabea71ae6988/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": "2026-05-19T16:09:28.474944+00:00", + "ended_at": "2026-05-19T16:09:31.602867+00:00", + "elapsed_ms": 3127.9, + "returncode": 1, + "prompt_metrics": { + "chars": 12271, + "bytes_utf8": 12271, + "lines": 394, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_066dabea71ae6988/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_066dabea71ae6988/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..04908f1a522ab38ca9a015d86b5e71850b8bebf8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_066dabea71ae6988/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": "2026-05-19T16:09:32.604656+00:00", + "ended_at": "2026-05-19T16:09:36.050777+00:00", + "elapsed_ms": 3446.08, + "returncode": 1, + "prompt_metrics": { + "chars": 12271, + "bytes_utf8": 12271, + "lines": 394, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_066dabea71ae6988/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_066dabea71ae6988/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..09e2471e404d719197c5989de38b42045662244f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_066dabea71ae6988/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,394 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=day.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "day", + "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": 2.5, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_066dabea71ae6988/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_066dabea71ae6988/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..09e2471e404d719197c5989de38b42045662244f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_066dabea71ae6988/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,394 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=day.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "day", + "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": 2.5, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_066dabea71ae6988/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_066dabea71ae6988/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..400c186ed05de22c6267bfd5e8fa0728c2b2db6c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_066dabea71ae6988/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-d5ae-7ef2-b478-06455afde665"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_066dabea71ae6988/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_066dabea71ae6988/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e7681053e836607c6ec7bd43160351b72f4cde16 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_066dabea71ae6988/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-d5ae-7ef2-b478-06455afde665"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_066dabea71ae6988/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_066dabea71ae6988/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..63d3fbe61c23b26f5f48bff5fbf1d8b88c09555b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_066dabea71ae6988/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-e5dc-7cc3-a5db-7dca88474d05"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_066dabea71ae6988/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_066dabea71ae6988/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..9fde48b1071a07943e8eb3567c6dba8fe450aab5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_066dabea71ae6988/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-e5dc-7cc3-a5db-7dca88474d05"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_066dabea71ae6988/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_066dabea71ae6988/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_066dabea71ae6988/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_066dabea71ae6988/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_077cebfa628cef23/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_077cebfa628cef23/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9fe13a9c6f9016a43270a46325335eb9cd1f04c5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_077cebfa628cef23/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 13107, "bytes_utf8": 13107, "lines": 399, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 702, "bytes_utf8": 702, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16272, "cached_input_tokens": 12032, "output_tokens": 728, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_077cebfa628cef23/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_077cebfa628cef23/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..13b71b5b388d338fe0c6383ba454fb9ebe2da7d5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_077cebfa628cef23/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_077cebfa628cef23", + "api_calls": 0, + "input_tokens": 16272, + "cached_input_tokens": 12032, + "output_tokens": 728, + "total_tokens": 17000, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 21486.64, + "sql_execution_elapsed_ms_total": 395.3, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_077cebfa628cef23/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_077cebfa628cef23/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_077cebfa628cef23/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..73ec5b984b9e649294f17b689bfea32d660d13cb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_077cebfa628cef23/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": "2026-05-19T15:44:58.554976+00:00", + "ended_at": "2026-05-19T15:45:20.041842+00:00", + "elapsed_ms": 21486.64, + "prompt_metrics": { + "chars": 13107, + "bytes_utf8": 13107, + "lines": 399, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1430, + "bytes_utf8": 1430, + "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": 702, + "bytes_utf8": 702, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16272, + "cached_input_tokens": 12032, + "output_tokens": 728, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_077cebfa628cef23/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_077cebfa628cef23/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3ec6a7eb3b4f90564ffe90b8fdbe8022f8dfcca3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_077cebfa628cef23/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,399 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=nom_1, condition_col=ord_2.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "nom_1", + "condition_col": "ord_2", + "condition_value": "Cold", + "positive_value": "Cold", + "negative_value": "Boiling Hot", + "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": 509036.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_077cebfa628cef23/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_077cebfa628cef23/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..63ca1ffd5caefd2350978865afd280b005ae3ed8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_077cebfa628cef23/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,5 @@ +{"type":"thread.started","thread_id":"019e40e9-67a9-7ac3-8d69-03395cfca875"} +{"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 16907. Please try again in 507ms. 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\\n \\\"nom_1\\\",\\n SUM(CASE WHEN \\\"ord_2\\\" = 'Cold' THEN 1 ELSE 0 END) AS \\\"numerator_count\\\",\\n SUM(CASE WHEN \\\"ord_2\\\" = 'Boiling Hot' THEN 1 ELSE 0 END) AS \\\"denominator_count\\\"\\n FROM \\\"c15\\\"\\n GROUP BY \\\"nom_1\\\"\\n)\\nSELECT\\n \\\"nom_1\\\",\\n CAST(\\\"numerator_count\\\" AS FLOAT) / NULLIF(\\\"denominator_count\\\", 0) AS \\\"condition_ratio\\\"\\nFROM \\\"grouped\\\"\\nORDER BY \\\"condition_ratio\\\" DESC;\",\"notes\":\"Grouped ratio template instantiated with group_col=nom_1 and condition_col=ord_2, measuring the Cold-to-Boiling Hot count ratio per nom_1 value. NULLIF prevents division by zero.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16272,"cached_input_tokens":12032,"output_tokens":728,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_077cebfa628cef23/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_077cebfa628cef23/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d90586a2d4fce271c2ac3ead00a7da172ea7d97f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_077cebfa628cef23/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_ratio_two_conditions\nWITH \"grouped\" AS (\n SELECT\n \"nom_1\",\n SUM(CASE WHEN \"ord_2\" = 'Cold' THEN 1 ELSE 0 END) AS \"numerator_count\",\n SUM(CASE WHEN \"ord_2\" = 'Boiling Hot' THEN 1 ELSE 0 END) AS \"denominator_count\"\n FROM \"c15\"\n GROUP BY \"nom_1\"\n)\nSELECT\n \"nom_1\",\n CAST(\"numerator_count\" AS FLOAT) / NULLIF(\"denominator_count\", 0) AS \"condition_ratio\"\nFROM \"grouped\"\nORDER BY \"condition_ratio\" DESC;","notes":"Grouped ratio template instantiated with group_col=nom_1 and condition_col=ord_2, measuring the Cold-to-Boiling Hot count ratio per nom_1 value. NULLIF prevents division by zero."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_077cebfa628cef23/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_077cebfa628cef23/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_08a0ff16f243c946/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_08a0ff16f243c946/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e0777e2df98e08e8a1552c6d0a51e40c2d0c7924 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_08a0ff16f243c946/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": "2026-05-19T16:05:04.336014+00:00", + "ended_at": "2026-05-19T16:05:07.857519+00:00", + "elapsed_ms": 3521.48, + "returncode": 1, + "prompt_metrics": { + "chars": 12557, + "bytes_utf8": 12557, + "lines": 399, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_08a0ff16f243c946/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_08a0ff16f243c946/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..5ed77e5777ff29e62bd64b044f5aa5815650c6f7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_08a0ff16f243c946/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": "2026-05-19T16:05:08.859682+00:00", + "ended_at": "2026-05-19T16:05:12.108136+00:00", + "elapsed_ms": 3248.42, + "returncode": 1, + "prompt_metrics": { + "chars": 12557, + "bytes_utf8": 12557, + "lines": 399, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_08a0ff16f243c946/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_08a0ff16f243c946/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..25e2756462f05c269d1d9c1749aea4445d69d025 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_08a0ff16f243c946/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,399 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=nom_3, condition_col=nom_3.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "nom_3", + "condition_col": "nom_3", + "condition_value": "Costa Rica", + "positive_value": "Costa Rica", + "negative_value": "India", + "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": 509036.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_08a0ff16f243c946/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_08a0ff16f243c946/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..25e2756462f05c269d1d9c1749aea4445d69d025 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_08a0ff16f243c946/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,399 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=nom_3, condition_col=nom_3.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "nom_3", + "condition_col": "nom_3", + "condition_value": "Costa Rica", + "positive_value": "Costa Rica", + "negative_value": "India", + "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": 509036.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_08a0ff16f243c946/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_08a0ff16f243c946/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..789be447f98361a92794b6845c16d67634a06ba8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_08a0ff16f243c946/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-cdda-7533-a9e9-80deb427cb33"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_08a0ff16f243c946/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_08a0ff16f243c946/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a6e669b8172415f4ce90c2418a512d79dd48a037 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_08a0ff16f243c946/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-cdda-7533-a9e9-80deb427cb33"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_08a0ff16f243c946/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_08a0ff16f243c946/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..0b9e12c669698b55b78826853bf83812010a78bd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_08a0ff16f243c946/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-df8c-7701-af54-d0acbe8790ca"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_08a0ff16f243c946/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_08a0ff16f243c946/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..b878883bce7dc81509b8918726503ac734b226d3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_08a0ff16f243c946/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-df8c-7701-af54-d0acbe8790ca"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_08a0ff16f243c946/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_08a0ff16f243c946/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_08a0ff16f243c946/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_08a0ff16f243c946/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_0cee3bbc9b500f07/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_0cee3bbc9b500f07/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b27b0b61ae72591af337e486a979ced4dbd7108d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_0cee3bbc9b500f07/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": "2026-05-19T16:10:12.691135+00:00", + "ended_at": "2026-05-19T16:10:17.534306+00:00", + "elapsed_ms": 4843.14, + "returncode": 1, + "prompt_metrics": { + "chars": 12280, + "bytes_utf8": 12280, + "lines": 394, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_0cee3bbc9b500f07/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_0cee3bbc9b500f07/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..be945716ba344ab625b2c8c4eced7f374c6a9438 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_0cee3bbc9b500f07/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": "2026-05-19T16:10:18.536740+00:00", + "ended_at": "2026-05-19T16:10:21.354159+00:00", + "elapsed_ms": 2817.37, + "returncode": 1, + "prompt_metrics": { + "chars": 12280, + "bytes_utf8": 12280, + "lines": 394, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_0cee3bbc9b500f07/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_0cee3bbc9b500f07/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..025cfb59cc8f0f8b5ef689cf02c4401b6dad883d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_0cee3bbc9b500f07/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,394 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=bin_0.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "bin_0", + "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": 509036.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_0cee3bbc9b500f07/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_0cee3bbc9b500f07/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..025cfb59cc8f0f8b5ef689cf02c4401b6dad883d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_0cee3bbc9b500f07/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,394 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=bin_0.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "bin_0", + "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": 509036.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_0cee3bbc9b500f07/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_0cee3bbc9b500f07/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..56359c26c5ebd74c769d88a137b3c6565e3660ec --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_0cee3bbc9b500f07/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-8253-77c1-960b-332a0b575562"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_0cee3bbc9b500f07/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_0cee3bbc9b500f07/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e13ae1e5472bc59834e88a1d681c4d7d422b15af --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_0cee3bbc9b500f07/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-8253-77c1-960b-332a0b575562"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_0cee3bbc9b500f07/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_0cee3bbc9b500f07/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..46ed562d9ffdea5e4939e4a00459d4494c4e8ab3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_0cee3bbc9b500f07/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-991e-7882-b2d6-2a88e1b46a17"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_0cee3bbc9b500f07/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_0cee3bbc9b500f07/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..66e46cdc5bcf75ab222c8c7a01eddad8d9475bb3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_0cee3bbc9b500f07/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-991e-7882-b2d6-2a88e1b46a17"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_0cee3bbc9b500f07/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_0cee3bbc9b500f07/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_0cee3bbc9b500f07/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_0cee3bbc9b500f07/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_0d6c387cf28fea8f/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_0d6c387cf28fea8f/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b0e613e123b392b19f95825ecf8f2cb83f279776 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_0d6c387cf28fea8f/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:54:28.278015+00:00", + "ended_at": "2026-05-19T15:54:31.604921+00:00", + "elapsed_ms": 3326.87, + "returncode": 1, + "prompt_metrics": { + "chars": 12837, + "bytes_utf8": 12837, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_0d6c387cf28fea8f/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_0d6c387cf28fea8f/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..09deec7401da441e995978bac1df44b8e555eaaa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_0d6c387cf28fea8f/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:54:32.607422+00:00", + "ended_at": "2026-05-19T15:54:35.500092+00:00", + "elapsed_ms": 2892.62, + "returncode": 1, + "prompt_metrics": { + "chars": 12837, + "bytes_utf8": 12837, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_0d6c387cf28fea8f/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_0d6c387cf28fea8f/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..47b64e204219636222fd2e5b8e7e8bcac3387603 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_0d6c387cf28fea8f/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,396 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=nom_2, measure_col=bin_1.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "nom_2", + "measure_col": "bin_1", + "top_k": 19, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.66, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_0d6c387cf28fea8f/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_0d6c387cf28fea8f/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..47b64e204219636222fd2e5b8e7e8bcac3387603 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_0d6c387cf28fea8f/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,396 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=nom_2, measure_col=bin_1.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "nom_2", + "measure_col": "bin_1", + "top_k": 19, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.66, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_0d6c387cf28fea8f/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_0d6c387cf28fea8f/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..40c297c007a4093d506b3b82666bf823a28ca17d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_0d6c387cf28fea8f/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f2-1945-7b13-bfb8-4476b0044852"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_0d6c387cf28fea8f/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_0d6c387cf28fea8f/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2cb82bf80dfb758b6009158d5e6616ded79a6fcb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_0d6c387cf28fea8f/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f2-1945-7b13-bfb8-4476b0044852"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_0d6c387cf28fea8f/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_0d6c387cf28fea8f/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..7359bfa9f95eef1883a1f363f5921e9f740bd66a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_0d6c387cf28fea8f/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f2-2a28-7e30-8f8a-2b47464fb874"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_0d6c387cf28fea8f/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_0d6c387cf28fea8f/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..af91c4eace3a7b91ae18f40d51cdc5b5b81e10be --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_0d6c387cf28fea8f/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f2-2a28-7e30-8f8a-2b47464fb874"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_0d6c387cf28fea8f/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_0d6c387cf28fea8f/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_0d6c387cf28fea8f/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_0d6c387cf28fea8f/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1293c5e4aae53d22/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1293c5e4aae53d22/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..b49a91d035636bc9999232ab1746340f7f4db1c0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1293c5e4aae53d22/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c15", + "started_at": "2026-05-19T16:08:03.479302+00:00", + "ended_at": "2026-05-19T16:08:11.028853+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c15_1293c5e4aae53d22", + "problem_id": "v2p_c15_43a67b11c89dbd27", + "dataset_id": "c15", + "template_id": "tpl_threshold_rarity_cdf", + "template_name": "Threshold Rarity CDF", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=id.", + "bindings": { + "measure_col": "id", + "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": 509036.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=1/1", + "binding_index=112" + ], + "template_selection_mode": "rule", + "selected_template_rank": 10, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1293c5e4aae53d22/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1293c5e4aae53d22/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d8875370a1a2079945dd522a54a9ffa504cb81e6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1293c5e4aae53d22/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:08:06.938789+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3419.94, "started_at": "2026-05-19T16:08:03.518019+00:00", "ended_at": "2026-05-19T16:08:06.938032+00:00", "prompt_metrics": {"chars": 12222, "bytes_utf8": 12222, "lines": 394, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fe-89ad-7ae0-bd2f-9b28aa2b35f2\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:08:11.028754+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3087.41, "started_at": "2026-05-19T16:08:07.940428+00:00", "ended_at": "2026-05-19T16:08:11.027887+00:00", "prompt_metrics": {"chars": 12222, "bytes_utf8": 12222, "lines": 394, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fe-9b1d-78e1-b482-af4ec00e1e82\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_14789c6082799abd/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_14789c6082799abd/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..927de6ca0ce762b13ec7b2a4ec19832698958a67 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_14789c6082799abd/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12462, "bytes_utf8": 12462, "lines": 396, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_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": 12462, "bytes_utf8": 12462, "lines": 396, "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": 925, "bytes_utf8": 925, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16098, "cached_input_tokens": 15744, "output_tokens": 800, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_14789c6082799abd/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_14789c6082799abd/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..f8dd1b9ad27f7c5614e6d0a76ad2812665d360c8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_14789c6082799abd/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_14789c6082799abd", + "api_calls": 0, + "input_tokens": 16098, + "cached_input_tokens": 15744, + "output_tokens": 800, + "total_tokens": 16898, + "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": 18577.75, + "sql_execution_elapsed_ms_total": 1660.73, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_14789c6082799abd/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_14789c6082799abd/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_14789c6082799abd/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c0737c533496ee67b36b292a448f831c3a201776 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_14789c6082799abd/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:56:47.277721+00:00", + "ended_at": "2026-05-19T15:56:50.510924+00:00", + "elapsed_ms": 3233.18, + "returncode": 1, + "prompt_metrics": { + "chars": 12462, + "bytes_utf8": 12462, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_14789c6082799abd/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_14789c6082799abd/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..515f10af867c50029c84d877884503a0392d8c37 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_14789c6082799abd/cli/sql_attempt_2.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:56:51.512548+00:00", + "ended_at": "2026-05-19T15:57:06.857150+00:00", + "elapsed_ms": 15344.57, + "prompt_metrics": { + "chars": 12462, + "bytes_utf8": 12462, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1386, + "bytes_utf8": 1386, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 925, + "bytes_utf8": 925, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16098, + "cached_input_tokens": 15744, + "output_tokens": 800, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_14789c6082799abd/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_14789c6082799abd/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..16dc868f718f8eb327e8a6678a2eb831bdda1b0d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_14789c6082799abd/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,396 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=ord_3, measure_col=bin_0.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "ord_3", + "measure_col": "bin_0", + "top_k": 15, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.66, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_14789c6082799abd/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_14789c6082799abd/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..16dc868f718f8eb327e8a6678a2eb831bdda1b0d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_14789c6082799abd/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,396 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=ord_3, measure_col=bin_0.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "ord_3", + "measure_col": "bin_0", + "top_k": 15, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.66, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_14789c6082799abd/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_14789c6082799abd/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..322fc3e2706836fcc8320520cd9555d9ba9a048d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_14789c6082799abd/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f4-3868-7661-b471-4cb5554e37b7"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_14789c6082799abd/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_14789c6082799abd/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..aa6628cd7d444d7041a2d836d12868733b18016f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_14789c6082799abd/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f4-3868-7661-b471-4cb5554e37b7"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_14789c6082799abd/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_14789c6082799abd/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..db6756c8a4d96523683cd57991104bdaf49a4585 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_14789c6082799abd/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f4-48b9-79c1-9a9c-3c5e05c6f07f"} +{"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 \\\"ord_3\\\" AS \\\"group_col\\\",\\n CAST(\\\"bin_0\\\" AS REAL) AS \\\"measure_col\\\"\\n FROM \\\"c15\\\"\\n WHERE NULLIF(\\\"bin_0\\\", '') IS NOT NULL\\n),\\n\\\"ranked\\\" AS (\\n SELECT\\n \\\"group_col\\\",\\n \\\"measure_col\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"group_col\\\"\\n ORDER BY \\\"measure_col\\\"\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"group_col\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"base\\\"\\n)\\nSELECT\\n \\\"group_col\\\" AS \\\"ord_3\\\",\\n MIN(\\\"measure_col\\\") AS \\\"percentile_measure\\\"\\nFROM \\\"ranked\\\"\\nWHERE \\\"rn\\\" >= CEIL(0.95 * \\\"cnt\\\")\\nGROUP BY \\\"group_col\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this emulates the grouped 95th percentile point using the nearest-rank method on CAST(\\\"bin_0\\\" AS REAL), excluding empty-string measures and grouping by \\\"ord_3\\\".\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16098,"cached_input_tokens":15744,"output_tokens":800,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_14789c6082799abd/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_14789c6082799abd/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..f5ee700f564d1d50461de2080fe692e4c599baa7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_14789c6082799abd/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"base\" AS (\n SELECT\n \"ord_3\" AS \"group_col\",\n CAST(\"bin_0\" AS REAL) AS \"measure_col\"\n FROM \"c15\"\n WHERE NULLIF(\"bin_0\", '') IS NOT NULL\n),\n\"ranked\" AS (\n SELECT\n \"group_col\",\n \"measure_col\",\n ROW_NUMBER() OVER (\n PARTITION BY \"group_col\"\n ORDER BY \"measure_col\"\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"group_col\"\n ) AS \"cnt\"\n FROM \"base\"\n)\nSELECT\n \"group_col\" AS \"ord_3\",\n MIN(\"measure_col\") AS \"percentile_measure\"\nFROM \"ranked\"\nWHERE \"rn\" >= CEIL(0.95 * \"cnt\")\nGROUP BY \"group_col\"\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite does not support PERCENTILE_CONT, so this emulates the grouped 95th percentile point using the nearest-rank method on CAST(\"bin_0\" AS REAL), excluding empty-string measures and grouping by \"ord_3\"."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_14789c6082799abd/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_14789c6082799abd/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_14789c6082799abd/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_14789c6082799abd/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_15b69bb9f5548e5a/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_15b69bb9f5548e5a/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..428aedd9126e168798bbd66ec79c8abde0e9d795 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_15b69bb9f5548e5a/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=ord_0, measure_col=id. +Result preview: [{"ord_0": "", "nom_9": "", "total_measure": 175908254.0, "share_within_group": 3.204652448491822}, {"ord_0": "3.0", "nom_9": "", "total_measure": 1804896248.0, "share_within_group": 3.041429787626468}, {"ord_0": "1.0", "nom_9": "", "total_measure": 2045617433.0, "share_within_group": 2.99261002214059}, {"ord_0": "2.0", "nom_9": "", "total_measure": 1376137572.0, "share_within_group": 2.939758763297955}, {"ord_0": "", "nom_9": "15b96812a", "total_measure": 10394933.0, "share_within_group": 0.1893722820440162}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_15b69bb9f5548e5a/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_15b69bb9f5548e5a/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..7d0bff9dfce360722d2ffb5fe3565c304431d1fd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_15b69bb9f5548e5a/generated_sql.sql @@ -0,0 +1,22 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c15 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_c15_15b69bb9f5548e5a +-- problem_id: v2p_c15_a83da04332b3cc72 +-- realization_mode: agent +-- source_kind: agent +SELECT + "ord_0", + "nom_9", + SUM(CAST("id" AS REAL)) AS total_measure, + SUM(CAST("id" AS REAL)) * 100.0 / SUM(SUM(CAST("id" AS REAL))) OVER (PARTITION BY "ord_0") AS share_within_group +FROM "c15" +GROUP BY "ord_0", "nom_9" +ORDER BY share_within_group DESC +LIMIT 13; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_15b69bb9f5548e5a/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_15b69bb9f5548e5a/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0d0b5a045fa23b4cf0ad325c9857da9e16d8d5d5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_15b69bb9f5548e5a/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"ord_0\",\n \"nom_9\",\n SUM(CAST(\"id\" AS REAL)) AS total_measure,\n SUM(CAST(\"id\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"id\" AS REAL))) OVER (PARTITION BY \"ord_0\") AS share_within_group\nFROM \"c15\"\nGROUP BY \"ord_0\", \"nom_9\"\nORDER BY share_within_group DESC\nLIMIT 13;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"ord_0\\\",\\n \\\"nom_9\\\",\\n SUM(CAST(\\\"id\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"id\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"id\\\" AS REAL))) OVER (PARTITION BY \\\"ord_0\\\") AS share_within_group\\nFROM \\\"c15\\\"\\nGROUP BY \\\"ord_0\\\", \\\"nom_9\\\"\\nORDER BY share_within_group DESC\\nLIMIT 13;\", \"columns\": [\"ord_0\", \"nom_9\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"ord_0\": \"\", \"nom_9\": \"\", \"total_measure\": 175908254.0, \"share_within_group\": 3.204652448491822}, {\"ord_0\": \"3.0\", \"nom_9\": \"\", \"total_measure\": 1804896248.0, \"share_within_group\": 3.041429787626468}, {\"ord_0\": \"1.0\", \"nom_9\": \"\", \"total_measure\": 2045617433.0, \"share_within_group\": 2.99261002214059}, {\"ord_0\": \"2.0\", \"nom_9\": \"\", \"total_measure\": 1376137572.0, \"share_within_group\": 2.939758763297955}, {\"ord_0\": \"\", \"nom_9\": \"15b96812a\", \"total_measure\": 10394933.0, \"share_within_group\": 0.1893722820440162}, {\"ord_0\": \"\", \"nom_9\": \"035be1628\", \"total_measure\": 8702688.0, \"share_within_group\": 0.15854338709802895}, {\"ord_0\": \"\", \"nom_9\": \"b28126ce4\", \"total_measure\": 7917155.0, \"share_within_group\": 0.14423274393843552}, {\"ord_0\": \"\", \"nom_9\": \"d4520f6f5\", \"total_measure\": 7904234.0, \"share_within_group\": 0.1439973524013962}, {\"ord_0\": \"\", \"nom_9\": \"3bc419b1d\", \"total_measure\": 7886639.0, \"share_within_group\": 0.14367681110473132}, {\"ord_0\": \"\", \"nom_9\": \"2dd479fa4\", \"total_measure\": 7557816.0, \"share_within_group\": 0.13768639616905454}, {\"ord_0\": \"\", \"nom_9\": \"cff148403\", \"total_measure\": 7538016.0, \"share_within_group\": 0.13732568473546747}, {\"ord_0\": \"\", \"nom_9\": \"836203022\", \"total_measure\": 7483127.0, \"share_within_group\": 0.13632573070121692}, {\"ord_0\": \"\", \"nom_9\": \"37d50602b\", \"total_measure\": 7424229.0, \"share_within_group\": 0.1352527417105396}], \"row_count_returned\": 13, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 680.38}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_15b69bb9f5548e5a/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_15b69bb9f5548e5a/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..1ba301672f91ebe957bc95636c900ff4dcd82ea9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_15b69bb9f5548e5a/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c15", + "started_at": "2026-05-19T15:37:54.727719+00:00", + "ended_at": "2026-05-19T15:38:14.227851+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c15_15b69bb9f5548e5a", + "problem_id": "v2p_c15_a83da04332b3cc72", + "dataset_id": "c15", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=ord_0, measure_col=id.", + "bindings": { + "group_col": "ord_0", + "measure_col": "id", + "item_col": "nom_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": 509036.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=1/2", + "binding_index=28" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/sql/v2q_c15_15b69bb9f5548e5a.sql", + "usage_summary": { + "dataset_id": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_15b69bb9f5548e5a", + "api_calls": 0, + "input_tokens": 16176, + "cached_input_tokens": 14720, + "output_tokens": 982, + "total_tokens": 17158, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 18785.17, + "sql_execution_elapsed_ms_total": 680.38, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_15b69bb9f5548e5a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_15b69bb9f5548e5a/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_15b69bb9f5548e5a/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b414d03aff2831303b19ff52c8ebd1ba650b3b4c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_15b69bb9f5548e5a/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:38:13.545279+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 18785.17, "started_at": "2026-05-19T15:37:54.759201+00:00", "ended_at": "2026-05-19T15:38:13.544407+00:00", "prompt_metrics": {"chars": 12686, "bytes_utf8": 12686, "lines": 398, "estimated_tokens": null}, "response_metrics": {"chars": 620, "bytes_utf8": 620, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16176, "cached_input_tokens": 14720, "output_tokens": 982, "reasoning_output_tokens": 785}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"ord_0\\\",\\n \\\"nom_9\\\",\\n SUM(CAST(\\\"id\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"id\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"id\\\" AS REAL))) OVER (PARTITION BY \\\"ord_0\\\") AS share_within_group\\nFROM \\\"c15\\\"\\nGROUP BY \\\"ord_0\\\", \\\"nom_9\\\"\\nORDER BY share_within_group DESC\\nLIMIT 13;\",\"notes\":\"Applied the Within-Group Share of Total template with group_col=\\\"ord_0\\\", item_col=\\\"nom_9\\\", and measure_col=\\\"id\\\". CAST(\\\"id\\\" AS REAL) is used because the SQLite schema stores \\\"id\\\" as TEXT. The result is limited to the top 13 rows by within-group share.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_15b69bb9f5548e5a/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_15b69bb9f5548e5a/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a7879b96c7dcdfd2b4f1c112fd58f201c10fd11a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_15b69bb9f5548e5a/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_15b69bb9f5548e5a", + "api_calls": 0, + "input_tokens": 16176, + "cached_input_tokens": 14720, + "output_tokens": 982, + "total_tokens": 17158, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 18785.17, + "sql_execution_elapsed_ms_total": 680.38, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_15b69bb9f5548e5a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_17907663cfa3bb04/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_17907663cfa3bb04/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..5463b3f27d6bb7e32d6a6afe44b706e8e02bdd87 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_17907663cfa3bb04/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=bin_0, measure_col=bin_1. +Result preview: [{"bin_0": "0.0", "group_value": 95199.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_17907663cfa3bb04/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_17907663cfa3bb04/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..810b1c16723bfc98fad16497f9c345489aa377c1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_17907663cfa3bb04/generated_sql.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c15 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: count_distribution +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_c15_17907663cfa3bb04 +-- problem_id: v2p_c15_4215efa96f4afd65 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "bin_0", SUM(CAST(COALESCE(NULLIF("bin_1", ''), '0') AS REAL)) AS group_value + FROM "c15" + GROUP BY "bin_0" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."bin_0", g.group_value +FROM grouped AS g +CROSS JOIN total AS t +WHERE g.group_value > t.total_value * 0.1 +ORDER BY g.group_value DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_17907663cfa3bb04/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_17907663cfa3bb04/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..32d72c4baabcac79ad559fdfbaa475013f952889 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_17907663cfa3bb04/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpch_relative_total_threshold.\nWITH grouped AS (\n SELECT \"bin_0\", SUM(CAST(COALESCE(NULLIF(\"bin_1\", ''), '0') AS REAL)) AS group_value\n FROM \"c15\"\n GROUP BY \"bin_0\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"bin_0\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.1\nORDER BY g.group_value DESC;", "result": "{\"query\": \"-- template_id: tpl_tpch_relative_total_threshold.\\nWITH grouped AS (\\n SELECT \\\"bin_0\\\", SUM(CAST(COALESCE(NULLIF(\\\"bin_1\\\", ''), '0') AS REAL)) AS group_value\\n FROM \\\"c15\\\"\\n GROUP BY \\\"bin_0\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"bin_0\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\", \"columns\": [\"bin_0\", \"group_value\"], \"rows\": [{\"bin_0\": \"0.0\", \"group_value\": 95199.0}], \"row_count_returned\": 1, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 304.85}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_17907663cfa3bb04/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_17907663cfa3bb04/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..897e478261b3841b4e256c58a85d9ccfc9cb1915 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_17907663cfa3bb04/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c15", + "started_at": "2026-05-19T15:50:36.900668+00:00", + "ended_at": "2026-05-19T15:50:55.564998+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c15_17907663cfa3bb04", + "problem_id": "v2p_c15_4215efa96f4afd65", + "dataset_id": "c15", + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=bin_0, measure_col=bin_1.", + "bindings": { + "group_col": "bin_0", + "measure_col": "bin_1", + "top_k": 12, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.75, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=1/2", + "binding_index=72" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/sql/v2q_c15_17907663cfa3bb04.sql", + "usage_summary": { + "dataset_id": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_17907663cfa3bb04", + "api_calls": 0, + "input_tokens": 16196, + "cached_input_tokens": 14720, + "output_tokens": 573, + "total_tokens": 16769, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 18323.95, + "sql_execution_elapsed_ms_total": 304.85, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_17907663cfa3bb04/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_17907663cfa3bb04/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_17907663cfa3bb04/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..801e59eb163ac4cea0e8baf532536950c51e5513 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_17907663cfa3bb04/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:50:55.258071+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 18323.95, "started_at": "2026-05-19T15:50:36.933323+00:00", "ended_at": "2026-05-19T15:50:55.257299+00:00", "prompt_metrics": {"chars": 12835, "bytes_utf8": 12835, "lines": 396, "estimated_tokens": null}, "response_metrics": {"chars": 693, "bytes_utf8": 693, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16196, "cached_input_tokens": 14720, "output_tokens": 573, "reasoning_output_tokens": 373}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold.\\nWITH grouped AS (\\n SELECT \\\"bin_0\\\", SUM(CAST(COALESCE(NULLIF(\\\"bin_1\\\", ''), '0') AS REAL)) AS group_value\\n FROM \\\"c15\\\"\\n GROUP BY \\\"bin_0\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"bin_0\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\",\"notes\":\"Used the required template with group_col=\\\"bin_0\\\" and measure_col=\\\"bin_1\\\". Since \\\"bin_1\\\" is stored as TEXT and may contain empty strings, the query coerces it to REAL and treats empty strings as 0 for SQLite-compatible aggregation.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_17907663cfa3bb04/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_17907663cfa3bb04/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..06ed632d51bb64f3ba33da4eeb5cd6f46826394b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_17907663cfa3bb04/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_17907663cfa3bb04", + "api_calls": 0, + "input_tokens": 16196, + "cached_input_tokens": 14720, + "output_tokens": 573, + "total_tokens": 16769, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 18323.95, + "sql_execution_elapsed_ms_total": 304.85, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_17907663cfa3bb04/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_183a1c316a345389/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_183a1c316a345389/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..527d89d915742656209bc4a4c26c80cde10cec6c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_183a1c316a345389/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"bin_1": "0.0", "total_rows": 474018, "missing_rows": 0, "missing_rate": 0.0}, {"bin_1": "1.0", "total_rows": 107979, "missing_rows": 0, "missing_rate": 0.0}, {"bin_1": "", "total_rows": 18003, "missing_rows": 0, "missing_rate": 0.0}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_183a1c316a345389/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_183a1c316a345389/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..1c899c872df1076f3018249f0af8fc5acea9ce7b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_183a1c316a345389/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c15 +-- family_id: missingness_structure +-- canonical_subitem_id: co_missingness_pattern_consistency +-- intended_facet_id: missing_rate_by_subgroup +-- variant_semantic_role: missing_rate_by_subgroup +-- template_id: tpl_missing_rate_by_subgroup +-- query_record_id: v2q_c15_183a1c316a345389 +-- problem_id: v2p_c15_c5636f62ad978639 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "bin_1", + COUNT(*) AS total_rows, + SUM(CASE WHEN "bin_0" IS NULL THEN 1 ELSE 0 END) AS missing_rows, + AVG(CASE WHEN "bin_0" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate +FROM "c15" +GROUP BY "bin_1" +ORDER BY missing_rate DESC, total_rows DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_183a1c316a345389/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_183a1c316a345389/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c14ab1f4c2ce63751b447a3174e43a6b080c4e1c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_183a1c316a345389/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_b\n-- sql_source_dataset_id: c15\n-- family_id: missingness_structure\n-- canonical_subitem_id: co_missingness_pattern_consistency\n-- intended_facet_id: missing_rate_by_subgroup\n-- variant_semantic_role: missing_rate_by_subgroup\n-- template_id: tpl_missing_rate_by_subgroup\n-- query_record_id: v2q_c15_183a1c316a345389\n-- problem_id: v2p_c15_c5636f62ad978639\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"bin_1\",\n COUNT(*) AS total_rows,\n SUM(CASE WHEN \"bin_0\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN \"bin_0\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM \"c15\"\nGROUP BY \"bin_1\"\nORDER BY missing_rate DESC, total_rows DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_b\\n-- sql_source_dataset_id: c15\\n-- family_id: missingness_structure\\n-- canonical_subitem_id: co_missingness_pattern_consistency\\n-- intended_facet_id: missing_rate_by_subgroup\\n-- variant_semantic_role: missing_rate_by_subgroup\\n-- template_id: tpl_missing_rate_by_subgroup\\n-- query_record_id: v2q_c15_183a1c316a345389\\n-- problem_id: v2p_c15_c5636f62ad978639\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"bin_1\\\",\\n COUNT(*) AS total_rows,\\n SUM(CASE WHEN \\\"bin_0\\\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\\n AVG(CASE WHEN \\\"bin_0\\\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\\nFROM \\\"c15\\\"\\nGROUP BY \\\"bin_1\\\"\\nORDER BY missing_rate DESC, total_rows DESC;\", \"columns\": [\"bin_1\", \"total_rows\", \"missing_rows\", \"missing_rate\"], \"rows\": [{\"bin_1\": \"0.0\", \"total_rows\": 474018, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"bin_1\": \"1.0\", \"total_rows\": 107979, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"bin_1\": \"\", \"total_rows\": 18003, \"missing_rows\": 0, \"missing_rate\": 0.0}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 324.0}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_183a1c316a345389/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_183a1c316a345389/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..f62f18264498323a0c371e8baf74e7ec9f28d0f4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_183a1c316a345389/run_manifest.json @@ -0,0 +1,59 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c15", + "started_at": "2026-05-19T16:13:01.579963+00:00", + "ended_at": "2026-05-19T16:13:01.905611+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c15_183a1c316a345389", + "problem_id": "v2p_c15_c5636f62ad978639", + "dataset_id": "c15", + "template_id": "tpl_missing_rate_by_subgroup", + "template_name": "Missing Rate by Subgroup", + "family_id": "missingness_structure", + "canonical_subitem_id": "co_missingness_pattern_consistency", + "intended_facet_id": "missing_rate_by_subgroup", + "variant_semantic_role": "missing_rate_by_subgroup", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": false, + "question": "Use template Missing Rate by Subgroup to probe co_missingness_pattern_consistency with semantic role missing_rate_by_subgroup. Focus on group_col=bin_1, missing_col=bin_0.", + "bindings": { + "missing_col": "bin_0", + "group_col": "bin_1" + }, + "binding_roles": [ + "missing_col", + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS total_rows,\n SUM(CASE WHEN {missing_col} IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN {missing_col} IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY missing_rate DESC, total_rows DESC;", + "notes": [ + "default_facets=missing_rate_by_subgroup,missing_target_interaction", + "template_selection_mode=deterministic", + "problem_index_within_template=1", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/sql/v2q_c15_183a1c316a345389.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_183a1c316a345389/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_183a1c316a345389/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_183a1c316a345389/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1b0eb6f53f3be47c/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1b0eb6f53f3be47c/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4037683c3adabc10cf1e2070e658548665bd60bb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1b0eb6f53f3be47c/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12458, "bytes_utf8": 12458, "lines": 396, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 1792, "bytes_utf8": 1792, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16098, "cached_input_tokens": 12032, "output_tokens": 2537, "reasoning_output_tokens": 1909}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1b0eb6f53f3be47c/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1b0eb6f53f3be47c/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..d28b0060eafe80a7148130d4c8ce88937b1711ec --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1b0eb6f53f3be47c/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_1b0eb6f53f3be47c", + "api_calls": 0, + "input_tokens": 16098, + "cached_input_tokens": 12032, + "output_tokens": 2537, + "total_tokens": 18635, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 38862.51, + "sql_execution_elapsed_ms_total": 2309.99, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1b0eb6f53f3be47c/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1b0eb6f53f3be47c/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1b0eb6f53f3be47c/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c1f27ffb4f148d673b89aca69f79e6ae772005d8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1b0eb6f53f3be47c/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": "2026-05-19T15:56:06.070308+00:00", + "ended_at": "2026-05-19T15:56:44.932852+00:00", + "elapsed_ms": 38862.51, + "prompt_metrics": { + "chars": 12458, + "bytes_utf8": 12458, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2420, + "bytes_utf8": 2420, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 1792, + "bytes_utf8": 1792, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16098, + "cached_input_tokens": 12032, + "output_tokens": 2537, + "reasoning_output_tokens": 1909 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1b0eb6f53f3be47c/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1b0eb6f53f3be47c/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0aec10f39bf0ead26408b51d63eeed35450a468a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1b0eb6f53f3be47c/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,396 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=ord_3, measure_col=bin_0.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "ord_3", + "measure_col": "bin_0", + "top_k": 10, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.75, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1b0eb6f53f3be47c/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1b0eb6f53f3be47c/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ccb0162f8aa43c7aafbfc70a857aeeb4d3ceb6e0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1b0eb6f53f3be47c/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f3-9751-7b01-a39c-2cb29d8c952b"} +{"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 \\\"ord_3\\\",\\n CAST(NULLIF(\\\"bin_0\\\", '') AS REAL) AS \\\"measure\\\"\\n FROM \\\"c15\\\"\\n WHERE NULLIF(\\\"bin_0\\\", '') IS NOT NULL\\n),\\n\\\"ranked\\\" AS (\\n SELECT\\n \\\"ord_3\\\",\\n \\\"measure\\\",\\n ROW_NUMBER() OVER (PARTITION BY \\\"ord_3\\\" ORDER BY \\\"measure\\\") AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"ord_3\\\") AS \\\"n\\\"\\n FROM \\\"base\\\"\\n),\\n\\\"positions\\\" AS (\\n SELECT DISTINCT\\n \\\"ord_3\\\",\\n (1.0 + 0.9 * (\\\"n\\\" - 1)) AS \\\"pos\\\",\\n CAST((1.0 + 0.9 * (\\\"n\\\" - 1)) AS INTEGER) AS \\\"lower_idx\\\",\\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) + 1\\n ELSE CAST((1.0 + 0.9 * (\\\"n\\\" - 1)) AS INTEGER)\\n END AS \\\"upper_idx\\\"\\n FROM \\\"ranked\\\"\\n),\\n\\\"picked\\\" AS (\\n SELECT\\n r.\\\"ord_3\\\",\\n p.\\\"pos\\\",\\n p.\\\"lower_idx\\\",\\n p.\\\"upper_idx\\\",\\n MAX(CASE WHEN r.\\\"rn\\\" = p.\\\"lower_idx\\\" THEN r.\\\"measure\\\" END) AS \\\"lower_value\\\",\\n MAX(CASE WHEN r.\\\"rn\\\" = p.\\\"upper_idx\\\" THEN r.\\\"measure\\\" END) AS \\\"upper_value\\\"\\n FROM \\\"ranked\\\" AS r\\n JOIN \\\"positions\\\" AS p\\n ON r.\\\"ord_3\\\" IS p.\\\"ord_3\\\"\\n GROUP BY r.\\\"ord_3\\\", p.\\\"pos\\\", p.\\\"lower_idx\\\", p.\\\"upper_idx\\\"\\n)\\nSELECT\\n \\\"ord_3\\\",\\n CASE\\n WHEN \\\"lower_idx\\\" = \\\"upper_idx\\\" THEN \\\"lower_value\\\"\\n ELSE \\\"lower_value\\\" + (\\\"pos\\\" - \\\"lower_idx\\\") * (\\\"upper_value\\\" - \\\"lower_value\\\")\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"picked\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite-compatible replacement for grouped PERCENTILE_CONT(0.9): computes the 90th percentile of text-stored numeric \\\"bin_0\\\" within each \\\"ord_3\\\" via ordered-row interpolation, ignoring empty \\\"bin_0\\\" values.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16098,"cached_input_tokens":12032,"output_tokens":2537,"reasoning_output_tokens":1909}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1b0eb6f53f3be47c/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1b0eb6f53f3be47c/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..722ae78c83ac9d9fc4f9e4ff6d1899b4a68664d8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1b0eb6f53f3be47c/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"base\" AS (\n SELECT\n \"ord_3\",\n CAST(NULLIF(\"bin_0\", '') AS REAL) AS \"measure\"\n FROM \"c15\"\n WHERE NULLIF(\"bin_0\", '') IS NOT NULL\n),\n\"ranked\" AS (\n SELECT\n \"ord_3\",\n \"measure\",\n ROW_NUMBER() OVER (PARTITION BY \"ord_3\" ORDER BY \"measure\") AS \"rn\",\n COUNT(*) OVER (PARTITION BY \"ord_3\") AS \"n\"\n FROM \"base\"\n),\n\"positions\" AS (\n SELECT DISTINCT\n \"ord_3\",\n (1.0 + 0.9 * (\"n\" - 1)) AS \"pos\",\n CAST((1.0 + 0.9 * (\"n\" - 1)) AS INTEGER) AS \"lower_idx\",\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) + 1\n ELSE CAST((1.0 + 0.9 * (\"n\" - 1)) AS INTEGER)\n END AS \"upper_idx\"\n FROM \"ranked\"\n),\n\"picked\" AS (\n SELECT\n r.\"ord_3\",\n p.\"pos\",\n p.\"lower_idx\",\n p.\"upper_idx\",\n MAX(CASE WHEN r.\"rn\" = p.\"lower_idx\" THEN r.\"measure\" END) AS \"lower_value\",\n MAX(CASE WHEN r.\"rn\" = p.\"upper_idx\" THEN r.\"measure\" END) AS \"upper_value\"\n FROM \"ranked\" AS r\n JOIN \"positions\" AS p\n ON r.\"ord_3\" IS p.\"ord_3\"\n GROUP BY r.\"ord_3\", p.\"pos\", p.\"lower_idx\", p.\"upper_idx\"\n)\nSELECT\n \"ord_3\",\n CASE\n WHEN \"lower_idx\" = \"upper_idx\" THEN \"lower_value\"\n ELSE \"lower_value\" + (\"pos\" - \"lower_idx\") * (\"upper_value\" - \"lower_value\")\n END AS \"percentile_measure\"\nFROM \"picked\"\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite-compatible replacement for grouped PERCENTILE_CONT(0.9): computes the 90th percentile of text-stored numeric \"bin_0\" within each \"ord_3\" via ordered-row interpolation, ignoring empty \"bin_0\" values."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1b0eb6f53f3be47c/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1b0eb6f53f3be47c/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_22152fcd2e31f597/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_22152fcd2e31f597/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..a29dccc3875180214b0ae9a46fed46c7ca71ea8e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_22152fcd2e31f597/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=bin_0, measure_col=id. +Result preview: [{"bin_0": "0.0", "total_measure": 158520413446}, {"bin_0": "1.0", "total_measure": 16127082832}, {"bin_0": "", "total_measure": 5352203722}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_22152fcd2e31f597/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_22152fcd2e31f597/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..3b16d1ab12e9eb300de2f80ea5c2976bf01b12e8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_22152fcd2e31f597/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c15 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_distribution_shift +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_c15_22152fcd2e31f597 +-- problem_id: v2p_c15_43d0a59257599f7f +-- realization_mode: agent +-- source_kind: agent +SELECT "bin_0", SUM(CAST("id" AS NUMERIC)) AS total_measure +FROM "c15" +GROUP BY "bin_0" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_22152fcd2e31f597/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_22152fcd2e31f597/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3193d6004669d65fcbfdde5cc12282e49cd5d4ce --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_22152fcd2e31f597/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_h2o_group_sum\nSELECT \"bin_0\", SUM(CAST(\"id\" AS NUMERIC)) AS total_measure\nFROM \"c15\"\nGROUP BY \"bin_0\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"bin_0\\\", SUM(CAST(\\\"id\\\" AS NUMERIC)) AS total_measure\\nFROM \\\"c15\\\"\\nGROUP BY \\\"bin_0\\\"\\nORDER BY total_measure DESC;\", \"columns\": [\"bin_0\", \"total_measure\"], \"rows\": [{\"bin_0\": \"0.0\", \"total_measure\": 158520413446}, {\"bin_0\": \"1.0\", \"total_measure\": 16127082832}, {\"bin_0\": \"\", \"total_measure\": 5352203722}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 302.21}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_22152fcd2e31f597/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_22152fcd2e31f597/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..6b54afd8e46722571d55b7d26e1acc352638f568 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_22152fcd2e31f597/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c15", + "started_at": "2026-05-19T15:28:17.972035+00:00", + "ended_at": "2026-05-19T15:28:27.869886+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c15_22152fcd2e31f597", + "problem_id": "v2p_c15_43d0a59257599f7f", + "dataset_id": "c15", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=bin_0, measure_col=id.", + "bindings": { + "group_col": "bin_0", + "measure_col": "id", + "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": 509036.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=1/2", + "binding_index=0" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/sql/v2q_c15_22152fcd2e31f597.sql", + "usage_summary": { + "dataset_id": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_22152fcd2e31f597", + "api_calls": 0, + "input_tokens": 16056, + "cached_input_tokens": 12288, + "output_tokens": 323, + "total_tokens": 16379, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9560.22, + "sql_execution_elapsed_ms_total": 302.21, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_22152fcd2e31f597/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_22152fcd2e31f597/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_22152fcd2e31f597/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..91583247efcd6aed7b88acf3b666d64f50725452 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_22152fcd2e31f597/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:28:27.565044+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 9560.22, "started_at": "2026-05-19T15:28:18.003935+00:00", "ended_at": "2026-05-19T15:28:27.564185+00:00", "prompt_metrics": {"chars": 12279, "bytes_utf8": 12279, "lines": 396, "estimated_tokens": null}, "response_metrics": {"chars": 334, "bytes_utf8": 334, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16056, "cached_input_tokens": 12288, "output_tokens": 323, "reasoning_output_tokens": 222}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"bin_0\\\", SUM(CAST(\\\"id\\\" AS NUMERIC)) AS total_measure\\nFROM \\\"c15\\\"\\nGROUP BY \\\"bin_0\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the required grouped-sum template with group_col=\\\"bin_0\\\" and measure_col=\\\"id\\\". CAST is applied because \\\"id\\\" is stored as TEXT in the schema.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_22152fcd2e31f597/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_22152fcd2e31f597/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..3e0923e508e3478887f438012f69be7b99ff6a02 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_22152fcd2e31f597/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_22152fcd2e31f597", + "api_calls": 0, + "input_tokens": 16056, + "cached_input_tokens": 12288, + "output_tokens": 323, + "total_tokens": 16379, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9560.22, + "sql_execution_elapsed_ms_total": 302.21, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_22152fcd2e31f597/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_22aaa20bf5f6f95b/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_22aaa20bf5f6f95b/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..a6bc111c9e78b681e1053bded0608cb8a47bfad6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_22aaa20bf5f6f95b/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=bin_3, group_col_2=nom_2. +Result preview: [{"bin_3": "F", "nom_2": "Hamster", "row_count": 9130}, {"bin_3": "F", "nom_2": "Axolotl", "row_count": 8279}, {"bin_3": "F", "nom_2": "Lion", "row_count": 6480}, {"bin_3": "F", "nom_2": "Dog", "row_count": 5754}, {"bin_3": "T", "nom_2": "Hamster", "row_count": 5342}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_22aaa20bf5f6f95b/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_22aaa20bf5f6f95b/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..7dd535337a1a63fdd25509141334b200a3038b03 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_22aaa20bf5f6f95b/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c15 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: slice_level_consistency +-- intended_facet_id: conditional_interaction_hotspots +-- variant_semantic_role: count_distribution +-- template_id: tpl_c2_filtered_group_count_2d +-- query_record_id: v2q_c15_22aaa20bf5f6f95b +-- problem_id: v2p_c15_9888625dde3b11a7 +-- realization_mode: agent +-- source_kind: agent +SELECT + "bin_3", + "nom_2", + COUNT(*) AS "row_count" +FROM "c15" +WHERE CAST(NULLIF("bin_0", '') AS REAL) >= 0.75 +GROUP BY "bin_3", "nom_2" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_22aaa20bf5f6f95b/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_22aaa20bf5f6f95b/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4f027f163d22ee849a36ce6556a8eb90d50091b9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_22aaa20bf5f6f95b/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_c2_filtered_group_count_2d\nSELECT\n \"bin_3\",\n \"nom_2\",\n COUNT(*) AS \"row_count\"\nFROM \"c15\"\nWHERE CAST(NULLIF(\"bin_0\", '') AS REAL) >= 0.75\nGROUP BY \"bin_3\", \"nom_2\"\nORDER BY \"row_count\" DESC;", "result": "{\"query\": \"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT\\n \\\"bin_3\\\",\\n \\\"nom_2\\\",\\n COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"c15\\\"\\nWHERE CAST(NULLIF(\\\"bin_0\\\", '') AS REAL) >= 0.75\\nGROUP BY \\\"bin_3\\\", \\\"nom_2\\\"\\nORDER BY \\\"row_count\\\" DESC;\", \"columns\": [\"bin_3\", \"nom_2\", \"row_count\"], \"rows\": [{\"bin_3\": \"F\", \"nom_2\": \"Hamster\", \"row_count\": 9130}, {\"bin_3\": \"F\", \"nom_2\": \"Axolotl\", \"row_count\": 8279}, {\"bin_3\": \"F\", \"nom_2\": \"Lion\", \"row_count\": 6480}, {\"bin_3\": \"F\", \"nom_2\": \"Dog\", \"row_count\": 5754}, {\"bin_3\": \"T\", \"nom_2\": \"Hamster\", \"row_count\": 5342}, {\"bin_3\": \"T\", \"nom_2\": \"Axolotl\", \"row_count\": 4974}, {\"bin_3\": \"T\", \"nom_2\": \"Lion\", \"row_count\": 3843}, {\"bin_3\": \"T\", \"nom_2\": \"Dog\", \"row_count\": 3373}, {\"bin_3\": \"F\", \"nom_2\": \"Cat\", \"row_count\": 1416}, {\"bin_3\": \"F\", \"nom_2\": \"\", \"row_count\": 954}, {\"bin_3\": \"T\", \"nom_2\": \"Cat\", \"row_count\": 819}, {\"bin_3\": \"F\", \"nom_2\": \"Snake\", \"row_count\": 787}, {\"bin_3\": \"T\", \"nom_2\": \"\", \"row_count\": 557}, {\"bin_3\": \"\", \"nom_2\": \"Hamster\", \"row_count\": 459}, {\"bin_3\": \"T\", \"nom_2\": \"Snake\", \"row_count\": 435}, {\"bin_3\": \"\", \"nom_2\": \"Axolotl\", \"row_count\": 409}, {\"bin_3\": \"\", \"nom_2\": \"Lion\", \"row_count\": 318}, {\"bin_3\": \"\", \"nom_2\": \"Dog\", \"row_count\": 244}, {\"bin_3\": \"\", \"nom_2\": \"Cat\", \"row_count\": 77}, {\"bin_3\": \"\", \"nom_2\": \"Snake\", \"row_count\": 41}, {\"bin_3\": \"\", \"nom_2\": \"\", \"row_count\": 38}], \"row_count_returned\": 21, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 156.59}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_22aaa20bf5f6f95b/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_22aaa20bf5f6f95b/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..60083a90adc9c5e6a5e3d5ac42d0bc3a9eb61045 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_22aaa20bf5f6f95b/run_manifest.json @@ -0,0 +1,93 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c15", + "started_at": "2026-05-19T15:46:53.234846+00:00", + "ended_at": "2026-05-19T15:47:07.191880+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c15_22aaa20bf5f6f95b", + "problem_id": "v2p_c15_9888625dde3b11a7", + "dataset_id": "c15", + "template_id": "tpl_c2_filtered_group_count_2d", + "template_name": "Filtered Two-Dimensional Group Count", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "slice_level_consistency", + "intended_facet_id": "conditional_interaction_hotspots", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=bin_3, group_col_2=nom_2.", + "bindings": { + "group_col": "bin_3", + "group_col_2": "nom_2", + "predicate_col": "bin_0", + "predicate_op": ">=", + "predicate_value": 0.75, + "top_k": 11, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.75, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=1/1", + "binding_index=51" + ], + "template_selection_mode": "rule", + "selected_template_rank": 5, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/sql/v2q_c15_22aaa20bf5f6f95b.sql", + "usage_summary": { + "dataset_id": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_22aaa20bf5f6f95b", + "api_calls": 0, + "input_tokens": 16156, + "cached_input_tokens": 14720, + "output_tokens": 484, + "total_tokens": 16640, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13745.43, + "sql_execution_elapsed_ms_total": 156.59, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_22aaa20bf5f6f95b/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_22aaa20bf5f6f95b/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_22aaa20bf5f6f95b/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..33f36195b040b239b0b1c254a2a0768bdfd1b7ee --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_22aaa20bf5f6f95b/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:47:07.032549+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 13745.43, "started_at": "2026-05-19T15:46:53.285987+00:00", "ended_at": "2026-05-19T15:47:07.031481+00:00", "prompt_metrics": {"chars": 12588, "bytes_utf8": 12588, "lines": 400, "estimated_tokens": null}, "response_metrics": {"chars": 444, "bytes_utf8": 444, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16156, "cached_input_tokens": 14720, "output_tokens": 484, "reasoning_output_tokens": 337}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT\\n \\\"bin_3\\\",\\n \\\"nom_2\\\",\\n COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"c15\\\"\\nWHERE CAST(NULLIF(\\\"bin_0\\\", '') AS REAL) >= 0.75\\nGROUP BY \\\"bin_3\\\", \\\"nom_2\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Used the planned template with \\\"bin_3\\\" and \\\"nom_2\\\" as grouping columns. Applied CAST(NULLIF(\\\"bin_0\\\", '') AS REAL) because \\\"bin_0\\\" is stored as TEXT and may contain empty strings.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_22aaa20bf5f6f95b/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_22aaa20bf5f6f95b/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5e697701e5447087b06a3910c0bcaa63b5507008 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_22aaa20bf5f6f95b/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_22aaa20bf5f6f95b", + "api_calls": 0, + "input_tokens": 16156, + "cached_input_tokens": 14720, + "output_tokens": 484, + "total_tokens": 16640, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13745.43, + "sql_execution_elapsed_ms_total": 156.59, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_22aaa20bf5f6f95b/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_232d06c76ddf4928/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_232d06c76ddf4928/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..772aa72a16328d1520a9dbd7796814a821aadfe6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_232d06c76ddf4928/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c15", + "started_at": "2026-05-19T16:07:49.182341+00:00", + "ended_at": "2026-05-19T16:07:56.432702+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c15_232d06c76ddf4928", + "problem_id": "v2p_c15_6101a791db85a012", + "dataset_id": "c15", + "template_id": "tpl_threshold_rarity_cdf", + "template_name": "Threshold Rarity CDF", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=day.", + "bindings": { + "measure_col": "day", + "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": 6.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=3", + "sql_variant_index=1/1", + "binding_index=110" + ], + "template_selection_mode": "rule", + "selected_template_rank": 10, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_232d06c76ddf4928/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_232d06c76ddf4928/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8e21e479d2c7e1b5fcb28237a6af2560a548de60 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_232d06c76ddf4928/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:07:52.514240+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3301.29, "started_at": "2026-05-19T16:07:49.212181+00:00", "ended_at": "2026-05-19T16:07:52.513496+00:00", "prompt_metrics": {"chars": 12219, "bytes_utf8": 12219, "lines": 394, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fe-51d9-7b61-930e-3f8447b66e5a\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:07:56.432612+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 2916.66, "started_at": "2026-05-19T16:07:53.515157+00:00", "ended_at": "2026-05-19T16:07:56.431848+00:00", "prompt_metrics": {"chars": 12219, "bytes_utf8": 12219, "lines": 394, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fe-62a3-78e1-bbf7-cbcfe4c2e61f\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_235176a9d977d841/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_235176a9d977d841/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4819848ca4b72ebc50d45256d3b8e5ccf9684d65 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_235176a9d977d841/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12837, "bytes_utf8": 12837, "lines": 396, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_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": 16196, "cached_input_tokens": 15744, "output_tokens": 604, "reasoning_output_tokens": 412}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_235176a9d977d841/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_235176a9d977d841/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..c713a0fedaa37cf2edf820311f3559944496e318 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_235176a9d977d841/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_235176a9d977d841", + "api_calls": 0, + "input_tokens": 16196, + "cached_input_tokens": 15744, + "output_tokens": 604, + "total_tokens": 16800, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12086.21, + "sql_execution_elapsed_ms_total": 368.73, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_235176a9d977d841/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_235176a9d977d841/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_235176a9d977d841/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f2eeb5a69d58c29b307e41e9ca809f4e92158744 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_235176a9d977d841/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": "2026-05-19T15:55:17.083244+00:00", + "ended_at": "2026-05-19T15:55:29.169483+00:00", + "elapsed_ms": 12086.21, + "prompt_metrics": { + "chars": 12837, + "bytes_utf8": 12837, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1052, + "bytes_utf8": 1052, + "lines": 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": 16196, + "cached_input_tokens": 15744, + "output_tokens": 604, + "reasoning_output_tokens": 412 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_235176a9d977d841/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_235176a9d977d841/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3ce53c5d8ed91015caeeec4db0b7cb005b5aeed4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_235176a9d977d841/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,396 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=nom_4, measure_col=ord_0.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "nom_4", + "measure_col": "ord_0", + "top_k": 16, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2.32, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_235176a9d977d841/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_235176a9d977d841/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..89b23f1a2f82aa18f01869456136ad11be344c9a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_235176a9d977d841/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f2-d800-7722-950a-67150016952a"} +{"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 \\\"nom_4\\\", SUM(CAST(NULLIF(\\\"ord_0\\\", '') AS REAL)) AS group_value\\n FROM \\\"c15\\\"\\n GROUP BY \\\"nom_4\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"nom_4\\\", 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=\\\"nom_4\\\" and measure_col=\\\"ord_0\\\". Used CAST(NULLIF(\\\"ord_0\\\", '') AS REAL) because the schema stores ord_0 as TEXT and empty strings appear in sample rows.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16196,"cached_input_tokens":15744,"output_tokens":604,"reasoning_output_tokens":412}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_235176a9d977d841/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_235176a9d977d841/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..12ac820d25876e44a4b8f5b7a3899b7f2fda10a1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_235176a9d977d841/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"nom_4\", SUM(CAST(NULLIF(\"ord_0\", '') AS REAL)) AS group_value\n FROM \"c15\"\n GROUP BY \"nom_4\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"nom_4\", 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=\"nom_4\" and measure_col=\"ord_0\". Used CAST(NULLIF(\"ord_0\", '') AS REAL) because the schema stores ord_0 as TEXT and empty strings appear in sample rows."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_235176a9d977d841/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_235176a9d977d841/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_23a0e8ca6bd86f5f/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_23a0e8ca6bd86f5f/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..527d89d915742656209bc4a4c26c80cde10cec6c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_23a0e8ca6bd86f5f/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"bin_1": "0.0", "total_rows": 474018, "missing_rows": 0, "missing_rate": 0.0}, {"bin_1": "1.0", "total_rows": 107979, "missing_rows": 0, "missing_rate": 0.0}, {"bin_1": "", "total_rows": 18003, "missing_rows": 0, "missing_rate": 0.0}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_23a0e8ca6bd86f5f/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_23a0e8ca6bd86f5f/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..84b861236f0fbcfa46bbcd8388ccc12019cd0bda --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_23a0e8ca6bd86f5f/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c15 +-- family_id: missingness_structure +-- canonical_subitem_id: co_missingness_pattern_consistency +-- intended_facet_id: missing_rate_by_subgroup +-- variant_semantic_role: missing_rate_by_subgroup +-- template_id: tpl_missing_rate_by_subgroup +-- query_record_id: v2q_c15_23a0e8ca6bd86f5f +-- problem_id: v2p_c15_a53ce8248c74bc88 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "bin_1", + COUNT(*) AS total_rows, + SUM(CASE WHEN "day" IS NULL THEN 1 ELSE 0 END) AS missing_rows, + AVG(CASE WHEN "day" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate +FROM "c15" +GROUP BY "bin_1" +ORDER BY missing_rate DESC, total_rows DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_23a0e8ca6bd86f5f/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_23a0e8ca6bd86f5f/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f653bd8692dfcdc597dcb1cef4570e4f38560e51 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_23a0e8ca6bd86f5f/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_b\n-- sql_source_dataset_id: c15\n-- family_id: missingness_structure\n-- canonical_subitem_id: co_missingness_pattern_consistency\n-- intended_facet_id: missing_rate_by_subgroup\n-- variant_semantic_role: missing_rate_by_subgroup\n-- template_id: tpl_missing_rate_by_subgroup\n-- query_record_id: v2q_c15_23a0e8ca6bd86f5f\n-- problem_id: v2p_c15_a53ce8248c74bc88\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"bin_1\",\n COUNT(*) AS total_rows,\n SUM(CASE WHEN \"day\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN \"day\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM \"c15\"\nGROUP BY \"bin_1\"\nORDER BY missing_rate DESC, total_rows DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_b\\n-- sql_source_dataset_id: c15\\n-- family_id: missingness_structure\\n-- canonical_subitem_id: co_missingness_pattern_consistency\\n-- intended_facet_id: missing_rate_by_subgroup\\n-- variant_semantic_role: missing_rate_by_subgroup\\n-- template_id: tpl_missing_rate_by_subgroup\\n-- query_record_id: v2q_c15_23a0e8ca6bd86f5f\\n-- problem_id: v2p_c15_a53ce8248c74bc88\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"bin_1\\\",\\n COUNT(*) AS total_rows,\\n SUM(CASE WHEN \\\"day\\\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\\n AVG(CASE WHEN \\\"day\\\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\\nFROM \\\"c15\\\"\\nGROUP BY \\\"bin_1\\\"\\nORDER BY missing_rate DESC, total_rows DESC;\", \"columns\": [\"bin_1\", \"total_rows\", \"missing_rows\", \"missing_rate\"], \"rows\": [{\"bin_1\": \"0.0\", \"total_rows\": 474018, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"bin_1\": \"1.0\", \"total_rows\": 107979, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"bin_1\": \"\", \"total_rows\": 18003, \"missing_rows\": 0, \"missing_rate\": 0.0}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 347.61}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_23a0e8ca6bd86f5f/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_23a0e8ca6bd86f5f/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..2286ae633d55604aa874f95cc2d8ba9e44c4d399 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_23a0e8ca6bd86f5f/run_manifest.json @@ -0,0 +1,59 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c15", + "started_at": "2026-05-19T16:13:05.385526+00:00", + "ended_at": "2026-05-19T16:13:05.734265+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c15_23a0e8ca6bd86f5f", + "problem_id": "v2p_c15_a53ce8248c74bc88", + "dataset_id": "c15", + "template_id": "tpl_missing_rate_by_subgroup", + "template_name": "Missing Rate by Subgroup", + "family_id": "missingness_structure", + "canonical_subitem_id": "co_missingness_pattern_consistency", + "intended_facet_id": "missing_rate_by_subgroup", + "variant_semantic_role": "missing_rate_by_subgroup", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": false, + "question": "Use template Missing Rate by Subgroup to probe co_missingness_pattern_consistency with semantic role missing_rate_by_subgroup. Focus on group_col=bin_1, missing_col=day.", + "bindings": { + "missing_col": "day", + "group_col": "bin_1" + }, + "binding_roles": [ + "missing_col", + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS total_rows,\n SUM(CASE WHEN {missing_col} IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN {missing_col} IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY missing_rate DESC, total_rows DESC;", + "notes": [ + "default_facets=missing_rate_by_subgroup,missing_target_interaction", + "template_selection_mode=deterministic", + "problem_index_within_template=12", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 12, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/sql/v2q_c15_23a0e8ca6bd86f5f.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_23a0e8ca6bd86f5f/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_23a0e8ca6bd86f5f/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_23a0e8ca6bd86f5f/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_23e88e2c864515a1/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_23e88e2c864515a1/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..9f03e150ebbf9c0e2ca650c7e5084f26a2c1e13a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_23e88e2c864515a1/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": "2026-05-19T16:12:22.756243+00:00", + "ended_at": "2026-05-19T16:12:26.373974+00:00", + "elapsed_ms": 3617.69, + "returncode": 1, + "prompt_metrics": { + "chars": 12362, + "bytes_utf8": 12362, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_23e88e2c864515a1/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_23e88e2c864515a1/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..087364610e20677bfbcbd8e6c16c264789295831 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_23e88e2c864515a1/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": "2026-05-19T16:12:27.377443+00:00", + "ended_at": "2026-05-19T16:12:30.631681+00:00", + "elapsed_ms": 3254.19, + "returncode": 1, + "prompt_metrics": { + "chars": 12362, + "bytes_utf8": 12362, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_23e88e2c864515a1/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_23e88e2c864515a1/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..71acc3d6487745a9c5f194b69e0433d82f0e9ebd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_23e88e2c864515a1/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,396 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=ord_2, measure_col=day.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "ord_2", + "measure_col": "day", + "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": 5.64, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_23e88e2c864515a1/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_23e88e2c864515a1/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..71acc3d6487745a9c5f194b69e0433d82f0e9ebd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_23e88e2c864515a1/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,396 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=ord_2, measure_col=day.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "ord_2", + "measure_col": "day", + "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": 5.64, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_23e88e2c864515a1/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_23e88e2c864515a1/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..99293a4d26b2993fddca924aac3d706bcc414036 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_23e88e2c864515a1/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-7e7b-7df1-9318-6a0d55767403"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_23e88e2c864515a1/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_23e88e2c864515a1/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2b149ceaf475ace0e3f31d87c3709133ed967a7a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_23e88e2c864515a1/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-7e7b-7df1-9318-6a0d55767403"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_23e88e2c864515a1/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_23e88e2c864515a1/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..08d89c52801fa2c8aec85c331ce122b83d8e21a4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_23e88e2c864515a1/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-906e-7f52-8cc3-6e7cb1feb5bd"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_23e88e2c864515a1/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_23e88e2c864515a1/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..5cc39214f779b1b2a61f9ff2403143bc7cbf01ba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_23e88e2c864515a1/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-906e-7f52-8cc3-6e7cb1feb5bd"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_23e88e2c864515a1/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_23e88e2c864515a1/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_23e88e2c864515a1/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_23e88e2c864515a1/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_27cccb5a222657ac/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_27cccb5a222657ac/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..36e4f82f7c25470dc13047a38cd8793499e84833 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_27cccb5a222657ac/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"nom_6": "", "support": 18131, "avg_response": 301341.86261099775}, {"nom_6": "ea8c5e181", "support": 805, "avg_response": 302091.26086956525}, {"nom_6": "9fa481341", "support": 798, "avg_response": 304789.9060150376}, {"nom_6": "2b94ada45", "support": 792, "avg_response": 294466.2083333333}, {"nom_6": "32e9bd1ff", "support": 788, "avg_response": 300757.1218274112}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_27cccb5a222657ac/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_27cccb5a222657ac/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..a1523e0372c32684e04111846e5c9ed100307dee --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_27cccb5a222657ac/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c15 +-- family_id: cardinality_structure +-- canonical_subitem_id: high_cardinality_response_stability +-- intended_facet_id: target_cardinality_cross_section +-- variant_semantic_role: focused_target_view +-- template_id: tpl_cardinality_high_card_response_stability +-- query_record_id: v2q_c15_27cccb5a222657ac +-- problem_id: v2p_c15_a7801fee1303c947 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "nom_6", + COUNT(*) AS support, + AVG("id") AS avg_response +FROM "c15" +GROUP BY "nom_6" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_27cccb5a222657ac/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_27cccb5a222657ac/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..883c85b91528acbe0fa61e6dccd47d01cb513a61 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_27cccb5a222657ac/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_b\n-- sql_source_dataset_id: c15\n-- family_id: cardinality_structure\n-- canonical_subitem_id: high_cardinality_response_stability\n-- intended_facet_id: target_cardinality_cross_section\n-- variant_semantic_role: focused_target_view\n-- template_id: tpl_cardinality_high_card_response_stability\n-- query_record_id: v2q_c15_27cccb5a222657ac\n-- problem_id: v2p_c15_a7801fee1303c947\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"nom_6\",\n COUNT(*) AS support,\n AVG(\"id\") AS avg_response\nFROM \"c15\"\nGROUP BY \"nom_6\"\nHAVING COUNT(*) >= 5.0\nORDER BY support DESC, avg_response DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_b\\n-- sql_source_dataset_id: c15\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: high_cardinality_response_stability\\n-- intended_facet_id: target_cardinality_cross_section\\n-- variant_semantic_role: focused_target_view\\n-- template_id: tpl_cardinality_high_card_response_stability\\n-- query_record_id: v2q_c15_27cccb5a222657ac\\n-- problem_id: v2p_c15_a7801fee1303c947\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"nom_6\\\",\\n COUNT(*) AS support,\\n AVG(\\\"id\\\") AS avg_response\\nFROM \\\"c15\\\"\\nGROUP BY \\\"nom_6\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"nom_6\", \"support\", \"avg_response\"], \"rows\": [{\"nom_6\": \"\", \"support\": 18131, \"avg_response\": 301341.86261099775}, {\"nom_6\": \"ea8c5e181\", \"support\": 805, \"avg_response\": 302091.26086956525}, {\"nom_6\": \"9fa481341\", \"support\": 798, \"avg_response\": 304789.9060150376}, {\"nom_6\": \"2b94ada45\", \"support\": 792, \"avg_response\": 294466.2083333333}, {\"nom_6\": \"32e9bd1ff\", \"support\": 788, \"avg_response\": 300757.1218274112}, {\"nom_6\": \"b88220966\", \"support\": 781, \"avg_response\": 292663.89116517286}, {\"nom_6\": \"840e7f4b5\", \"support\": 779, \"avg_response\": 296225.0115532734}, {\"nom_6\": \"72ccba7a4\", \"support\": 776, \"avg_response\": 298146.0399484536}, {\"nom_6\": \"e8ea54cf5\", \"support\": 775, \"avg_response\": 286298.5587096774}, {\"nom_6\": \"dfa75ccc7\", \"support\": 771, \"avg_response\": 305329.2477302205}, {\"nom_6\": \"0dfa3e5dd\", \"support\": 770, \"avg_response\": 293320.23766233766}, {\"nom_6\": \"04a2f06a3\", \"support\": 765, \"avg_response\": 300713.00653594773}, {\"nom_6\": \"33897911c\", \"support\": 762, \"avg_response\": 291090.4343832021}, {\"nom_6\": \"aaeae365f\", \"support\": 762, \"avg_response\": 288616.74278215226}, {\"nom_6\": \"4e161a54d\", \"support\": 761, \"avg_response\": 312164.2076215506}, {\"nom_6\": \"db2ac6978\", \"support\": 759, \"avg_response\": 299471.4084321476}, {\"nom_6\": \"400ea518a\", \"support\": 759, \"avg_response\": 298150.16864295123}, {\"nom_6\": \"de9e7f97d\", \"support\": 757, \"avg_response\": 298536.55085865257}, {\"nom_6\": \"b240ad8c0\", \"support\": 756, \"avg_response\": 306047.3955026455}, {\"nom_6\": \"b3c90f702\", \"support\": 756, \"avg_response\": 301364.9708994709}, {\"nom_6\": \"c19600087\", \"support\": 754, \"avg_response\": 300685.47082228115}, {\"nom_6\": \"fac5029fd\", \"support\": 753, \"avg_response\": 294206.2177954847}, {\"nom_6\": \"b18acce42\", \"support\": 752, \"avg_response\": 309475.92819148937}, {\"nom_6\": \"1fb51da5e\", \"support\": 752, \"avg_response\": 303158.8816489362}, {\"nom_6\": \"9e9048cf9\", \"support\": 750, \"avg_response\": 296455.27866666665}, {\"nom_6\": \"c9cde7633\", \"support\": 750, \"avg_response\": 292439.1213333333}, {\"nom_6\": \"c8c9513f5\", \"support\": 749, \"avg_response\": 299022.03738317755}, {\"nom_6\": \"4bb089ca4\", \"support\": 748, \"avg_response\": 289010.13636363635}, {\"nom_6\": \"cbdd65050\", \"support\": 746, \"avg_response\": 294706.8163538874}, {\"nom_6\": \"44331253f\", \"support\": 744, \"avg_response\": 297963.876344086}, {\"nom_6\": \"d61781d05\", \"support\": 743, \"avg_response\": 309727.0323014805}, {\"nom_6\": \"d7460b2cb\", \"support\": 743, \"avg_response\": 303543.06998654106}, {\"nom_6\": \"328b0cf4e\", \"support\": 743, \"avg_response\": 289579.45222072676}, {\"nom_6\": \"5afc91042\", \"support\": 743, \"avg_response\": 287982.998654105}, {\"nom_6\": \"9404b7387\", \"support\": 742, \"avg_response\": 304367.91239892185}, {\"nom_6\": \"b2c6e8899\", \"support\": 742, \"avg_response\": 296561.22776280326}, {\"nom_6\": \"d7395777b\", \"support\": 742, \"avg_response\": 294666.71698113205}, {\"nom_6\": \"432989164\", \"support\": 740, \"avg_response\": 315540.59324324323}, {\"nom_6\": \"90c5b8395\", \"support\": 739, \"avg_response\": 307799.3964817321}, {\"nom_6\": \"4f027736c\", \"support\": 739, \"avg_response\": 297097.45602165087}, {\"nom_6\": \"23dbf9179\", \"support\": 739, \"avg_response\": 294051.0094722598}, {\"nom_6\": \"98d696bd0\", \"support\": 738, \"avg_response\": 304161.64227642276}, {\"nom_6\": \"89442059b\", \"support\": 738, \"avg_response\": 300761.4539295393}, {\"nom_6\": \"336ebc4f3\", \"support\": 737, \"avg_response\": 293536.5902306649}, {\"nom_6\": \"007c05fbd\", \"support\": 736, \"avg_response\": 305792.35461956525}, {\"nom_6\": \"003b53013\", \"support\": 736, \"avg_response\": 303059.097826087}, {\"nom_6\": \"74b50abd6\", \"support\": 736, \"avg_response\": 298638.38858695654}, {\"nom_6\": \"05cb6c88e\", \"support\": 735, \"avg_response\": 292175.3605442177}, {\"nom_6\": \"6e3a13ee1\", \"support\": 733, \"avg_response\": 308049.8881309686}, {\"nom_6\": \"32bf0522b\", \"support\": 733, \"avg_response\": 294931.98908594815}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 452.42}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_27cccb5a222657ac/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_27cccb5a222657ac/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..5465ea3e2b46a22c066b8aa9555c81d06e8f7c17 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_27cccb5a222657ac/run_manifest.json @@ -0,0 +1,60 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c15", + "started_at": "2026-05-19T16:13:17.819013+00:00", + "ended_at": "2026-05-19T16:13:18.275276+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c15_27cccb5a222657ac", + "problem_id": "v2p_c15_a7801fee1303c947", + "dataset_id": "c15", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=id, key_col=nom_6.", + "bindings": { + "key_col": "nom_6", + "measure_col": "id", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=4", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/sql/v2q_c15_27cccb5a222657ac.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_27cccb5a222657ac/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_27cccb5a222657ac/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_27cccb5a222657ac/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_2896ded8c9421328/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_2896ded8c9421328/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..28b9641afbc3b0e64155eb9e90cd4df09ea887a1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_2896ded8c9421328/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"target": "0", "total_rows": 487677, "missing_rows": 0, "missing_rate": 0.0}, {"target": "1", "total_rows": 112323, "missing_rows": 0, "missing_rate": 0.0}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_2896ded8c9421328/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_2896ded8c9421328/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..52f3ac53f81fcc7a7bb5530be9bf08d5dae59244 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_2896ded8c9421328/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c15 +-- family_id: missingness_structure +-- canonical_subitem_id: co_missingness_pattern_consistency +-- intended_facet_id: missing_target_interaction +-- variant_semantic_role: missing_target_interaction +-- template_id: tpl_missing_target_interaction +-- query_record_id: v2q_c15_2896ded8c9421328 +-- problem_id: v2p_c15_1162609d81f841b7 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "target", + COUNT(*) AS total_rows, + SUM(CASE WHEN "bin_4" IS NULL THEN 1 ELSE 0 END) AS missing_rows, + AVG(CASE WHEN "bin_4" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate +FROM "c15" +GROUP BY "target" +ORDER BY missing_rate DESC, total_rows DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_2896ded8c9421328/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_2896ded8c9421328/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..17479bb630777f3f94e6c3133215df68a3f8f1d0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_2896ded8c9421328/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_b\n-- sql_source_dataset_id: c15\n-- family_id: missingness_structure\n-- canonical_subitem_id: co_missingness_pattern_consistency\n-- intended_facet_id: missing_target_interaction\n-- variant_semantic_role: missing_target_interaction\n-- template_id: tpl_missing_target_interaction\n-- query_record_id: v2q_c15_2896ded8c9421328\n-- problem_id: v2p_c15_1162609d81f841b7\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"target\",\n COUNT(*) AS total_rows,\n SUM(CASE WHEN \"bin_4\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN \"bin_4\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM \"c15\"\nGROUP BY \"target\"\nORDER BY missing_rate DESC, total_rows DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_b\\n-- sql_source_dataset_id: c15\\n-- family_id: missingness_structure\\n-- canonical_subitem_id: co_missingness_pattern_consistency\\n-- intended_facet_id: missing_target_interaction\\n-- variant_semantic_role: missing_target_interaction\\n-- template_id: tpl_missing_target_interaction\\n-- query_record_id: v2q_c15_2896ded8c9421328\\n-- problem_id: v2p_c15_1162609d81f841b7\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"target\\\",\\n COUNT(*) AS total_rows,\\n SUM(CASE WHEN \\\"bin_4\\\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\\n AVG(CASE WHEN \\\"bin_4\\\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\\nFROM \\\"c15\\\"\\nGROUP BY \\\"target\\\"\\nORDER BY missing_rate DESC, total_rows DESC;\", \"columns\": [\"target\", \"total_rows\", \"missing_rows\", \"missing_rate\"], \"rows\": [{\"target\": \"0\", \"total_rows\": 487677, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"target\": \"1\", \"total_rows\": 112323, \"missing_rows\": 0, \"missing_rate\": 0.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 336.47}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_2896ded8c9421328/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_2896ded8c9421328/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..f4e73ec73a4e75199ce0089bcd0af852e8508dfa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_2896ded8c9421328/run_manifest.json @@ -0,0 +1,59 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c15", + "started_at": "2026-05-19T16:13:06.415861+00:00", + "ended_at": "2026-05-19T16:13:06.753636+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c15_2896ded8c9421328", + "problem_id": "v2p_c15_1162609d81f841b7", + "dataset_id": "c15", + "template_id": "tpl_missing_target_interaction", + "template_name": "Missingness-Target Interaction", + "family_id": "missingness_structure", + "canonical_subitem_id": "co_missingness_pattern_consistency", + "intended_facet_id": "missing_target_interaction", + "variant_semantic_role": "missing_target_interaction", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": false, + "question": "Use template Missingness-Target Interaction to probe co_missingness_pattern_consistency with semantic role missing_target_interaction. Focus on target_col=target, missing_col=bin_4.", + "bindings": { + "missing_col": "bin_4", + "target_col": "target" + }, + "binding_roles": [ + "missing_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {target_col},\n COUNT(*) AS total_rows,\n SUM(CASE WHEN {missing_col} IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN {missing_col} IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM {table}\nGROUP BY {target_col}\nORDER BY missing_rate DESC, total_rows DESC;", + "notes": [ + "default_facets=missing_rate_by_subgroup,missing_target_interaction", + "template_selection_mode=deterministic", + "problem_index_within_template=3", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/sql/v2q_c15_2896ded8c9421328.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_2896ded8c9421328/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_2896ded8c9421328/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_2896ded8c9421328/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_29301b09df94a18e/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_29301b09df94a18e/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2cec533886931a988ac4eff2e4f59946834c744b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_29301b09df94a18e/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12460, "bytes_utf8": 12460, "lines": 396, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_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": 12460, "bytes_utf8": 12460, "lines": 396, "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": 1863, "bytes_utf8": 1863, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16094, "cached_input_tokens": 15744, "output_tokens": 1153, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_29301b09df94a18e/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_29301b09df94a18e/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..56d5c69c3578b14858589f17b3a22d3515f978ae --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_29301b09df94a18e/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_29301b09df94a18e", + "api_calls": 0, + "input_tokens": 16094, + "cached_input_tokens": 15744, + "output_tokens": 1153, + "total_tokens": 17247, + "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": 21398.56, + "sql_execution_elapsed_ms_total": 2090.82, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_29301b09df94a18e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_29301b09df94a18e/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_29301b09df94a18e/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d24935f291dbe33458acf601b115e6dbf9622cd4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_29301b09df94a18e/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:59:15.725487+00:00", + "ended_at": "2026-05-19T15:59:18.660343+00:00", + "elapsed_ms": 2934.61, + "returncode": 1, + "prompt_metrics": { + "chars": 12460, + "bytes_utf8": 12460, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_29301b09df94a18e/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_29301b09df94a18e/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f41063f4a85b1418b723f411453e5593b229e5ae --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_29301b09df94a18e/cli/sql_attempt_2.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:59:19.662324+00:00", + "ended_at": "2026-05-19T15:59:38.126311+00:00", + "elapsed_ms": 18463.95, + "prompt_metrics": { + "chars": 12460, + "bytes_utf8": 12460, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2504, + "bytes_utf8": 2504, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 1863, + "bytes_utf8": 1863, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16094, + "cached_input_tokens": 15744, + "output_tokens": 1153, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_29301b09df94a18e/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_29301b09df94a18e/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e4598f8cb1113f7546167c5ce99cf2ebc7e04697 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_29301b09df94a18e/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,396 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=month, measure_col=ord_0.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "month", + "measure_col": "ord_0", + "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": 2.32, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_29301b09df94a18e/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_29301b09df94a18e/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e4598f8cb1113f7546167c5ce99cf2ebc7e04697 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_29301b09df94a18e/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,396 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=month, measure_col=ord_0.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "month", + "measure_col": "ord_0", + "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": 2.32, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_29301b09df94a18e/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_29301b09df94a18e/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b4eb7207cb11185f896805f533c1c48ac3ab8ba1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_29301b09df94a18e/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f6-7c27-7892-9c30-59d18f572b60"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_29301b09df94a18e/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_29301b09df94a18e/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..018c1016b7f9fb9ea8fe20e2c765e0f968bedd07 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_29301b09df94a18e/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f6-7c27-7892-9c30-59d18f572b60"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_29301b09df94a18e/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_29301b09df94a18e/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..2598baafeb18941600e1fb5f167a5d70b6342279 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_29301b09df94a18e/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f6-8b92-7970-9def-1098d3d49edc"} +{"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 \\\"month\\\",\\n CAST(\\\"ord_0\\\" AS REAL) AS \\\"measure\\\"\\n FROM \\\"c15\\\"\\n WHERE \\\"month\\\" IS NOT NULL\\n AND \\\"month\\\" <> ''\\n AND \\\"ord_0\\\" IS NOT NULL\\n AND \\\"ord_0\\\" <> ''\\n),\\n\\\"ordered\\\" AS (\\n SELECT\\n \\\"month\\\",\\n \\\"measure\\\",\\n ROW_NUMBER() OVER (PARTITION BY \\\"month\\\" ORDER BY \\\"measure\\\") AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"month\\\") AS \\\"cnt\\\"\\n FROM \\\"base\\\"\\n),\\n\\\"positions\\\" AS (\\n SELECT DISTINCT\\n \\\"month\\\",\\n (1.0 + 0.9 * (\\\"cnt\\\" - 1)) AS \\\"pos\\\",\\n CAST(1.0 + 0.9 * (\\\"cnt\\\" - 1) AS INTEGER) AS \\\"lower_rn\\\",\\n CASE\\n WHEN (1.0 + 0.9 * (\\\"cnt\\\" - 1)) > CAST(1.0 + 0.9 * (\\\"cnt\\\" - 1) AS INTEGER)\\n THEN CAST(1.0 + 0.9 * (\\\"cnt\\\" - 1) AS INTEGER) + 1\\n ELSE CAST(1.0 + 0.9 * (\\\"cnt\\\" - 1) AS INTEGER)\\n END AS \\\"upper_rn\\\"\\n FROM \\\"ordered\\\"\\n),\\n\\\"bounds\\\" AS (\\n SELECT\\n p.\\\"month\\\",\\n p.\\\"pos\\\",\\n p.\\\"lower_rn\\\",\\n p.\\\"upper_rn\\\",\\n lo.\\\"measure\\\" AS \\\"lower_val\\\",\\n hi.\\\"measure\\\" AS \\\"upper_val\\\"\\n FROM \\\"positions\\\" AS p\\n JOIN \\\"ordered\\\" AS lo\\n ON lo.\\\"month\\\" = p.\\\"month\\\"\\n AND lo.\\\"rn\\\" = p.\\\"lower_rn\\\"\\n JOIN \\\"ordered\\\" AS hi\\n ON hi.\\\"month\\\" = p.\\\"month\\\"\\n AND hi.\\\"rn\\\" = p.\\\"upper_rn\\\"\\n)\\nSELECT\\n \\\"month\\\",\\n CASE\\n WHEN \\\"lower_rn\\\" = \\\"upper_rn\\\" THEN \\\"lower_val\\\"\\n ELSE \\\"lower_val\\\" + (\\\"pos\\\" - \\\"lower_rn\\\") * (\\\"upper_val\\\" - \\\"lower_val\\\")\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"bounds\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this query emulates the 0.9 continuous percentile of \\\"ord_0\\\" within each \\\"month\\\" using window functions and linear interpolation. Empty strings are excluded and \\\"ord_0\\\" is cast to REAL because the schema stores it as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16094,"cached_input_tokens":15744,"output_tokens":1153,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_29301b09df94a18e/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_29301b09df94a18e/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..ee710e23bc01b782efb1430526264dbd5ffd0359 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_29301b09df94a18e/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"base\" AS (\n SELECT\n \"month\",\n CAST(\"ord_0\" AS REAL) AS \"measure\"\n FROM \"c15\"\n WHERE \"month\" IS NOT NULL\n AND \"month\" <> ''\n AND \"ord_0\" IS NOT NULL\n AND \"ord_0\" <> ''\n),\n\"ordered\" AS (\n SELECT\n \"month\",\n \"measure\",\n ROW_NUMBER() OVER (PARTITION BY \"month\" ORDER BY \"measure\") AS \"rn\",\n COUNT(*) OVER (PARTITION BY \"month\") AS \"cnt\"\n FROM \"base\"\n),\n\"positions\" AS (\n SELECT DISTINCT\n \"month\",\n (1.0 + 0.9 * (\"cnt\" - 1)) AS \"pos\",\n CAST(1.0 + 0.9 * (\"cnt\" - 1) AS INTEGER) AS \"lower_rn\",\n CASE\n WHEN (1.0 + 0.9 * (\"cnt\" - 1)) > CAST(1.0 + 0.9 * (\"cnt\" - 1) AS INTEGER)\n THEN CAST(1.0 + 0.9 * (\"cnt\" - 1) AS INTEGER) + 1\n ELSE CAST(1.0 + 0.9 * (\"cnt\" - 1) AS INTEGER)\n END AS \"upper_rn\"\n FROM \"ordered\"\n),\n\"bounds\" AS (\n SELECT\n p.\"month\",\n p.\"pos\",\n p.\"lower_rn\",\n p.\"upper_rn\",\n lo.\"measure\" AS \"lower_val\",\n hi.\"measure\" AS \"upper_val\"\n FROM \"positions\" AS p\n JOIN \"ordered\" AS lo\n ON lo.\"month\" = p.\"month\"\n AND lo.\"rn\" = p.\"lower_rn\"\n JOIN \"ordered\" AS hi\n ON hi.\"month\" = p.\"month\"\n AND hi.\"rn\" = p.\"upper_rn\"\n)\nSELECT\n \"month\",\n CASE\n WHEN \"lower_rn\" = \"upper_rn\" THEN \"lower_val\"\n ELSE \"lower_val\" + (\"pos\" - \"lower_rn\") * (\"upper_val\" - \"lower_val\")\n END AS \"percentile_measure\"\nFROM \"bounds\"\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite does not support PERCENTILE_CONT, so this query emulates the 0.9 continuous percentile of \"ord_0\" within each \"month\" using window functions and linear interpolation. Empty strings are excluded and \"ord_0\" is cast to REAL because the schema stores it as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_29301b09df94a18e/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_29301b09df94a18e/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_29301b09df94a18e/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_29301b09df94a18e/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_2fa62883de09aff4/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_2fa62883de09aff4/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..3c461ee17a0a9f27f603b77d82bd08e3db731f09 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_2fa62883de09aff4/run_manifest.json @@ -0,0 +1,72 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c15", + "started_at": "2026-05-19T16:06:21.139111+00:00", + "ended_at": "2026-05-19T16:06:28.540867+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c15_2fa62883de09aff4", + "problem_id": "v2p_c15_e4e5fefaee5323e7", + "dataset_id": "c15", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=ord_2, condition_col=ord_2.", + "bindings": { + "group_col": "ord_2", + "condition_col": "ord_2", + "condition_value": "Cold", + "positive_value": "Cold", + "negative_value": "Boiling Hot", + "top_k": 12, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2.5, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=7", + "sql_variant_index=1/2", + "binding_index=102" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_2fa62883de09aff4/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_2fa62883de09aff4/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6be463d5f118e2bc85e33410d401afd2f310bbde --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_2fa62883de09aff4/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:06:24.590050+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3417.09, "started_at": "2026-05-19T16:06:21.172182+00:00", "ended_at": "2026-05-19T16:06:24.589303+00:00", "prompt_metrics": {"chars": 12546, "bytes_utf8": 12546, "lines": 399, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fc-f9f7-74c2-9cfd-19ab652d630f\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:06:28.540776+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 2948.23, "started_at": "2026-05-19T16:06:25.591690+00:00", "ended_at": "2026-05-19T16:06:28.539967+00:00", "prompt_metrics": {"chars": 12546, "bytes_utf8": 12546, "lines": 399, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fd-0b69-73d1-8cd0-8eb4c071dc5a\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_31ea682e3c148efc/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_31ea682e3c148efc/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..0ca9dc77eeb4eab44067ba3a7dfbe12dae1aca98 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_31ea682e3c148efc/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": "2026-05-19T16:12:38.110515+00:00", + "ended_at": "2026-05-19T16:12:41.161358+00:00", + "elapsed_ms": 3050.82, + "returncode": 1, + "prompt_metrics": { + "chars": 12367, + "bytes_utf8": 12367, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_31ea682e3c148efc/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_31ea682e3c148efc/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..5e9923cd067f49551293e7f00051ec23caae3db2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_31ea682e3c148efc/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": "2026-05-19T16:12:42.163035+00:00", + "ended_at": "2026-05-19T16:12:45.838794+00:00", + "elapsed_ms": 3675.73, + "returncode": 1, + "prompt_metrics": { + "chars": 12367, + "bytes_utf8": 12367, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_31ea682e3c148efc/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_31ea682e3c148efc/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e76f68b34aa45079fd7dddf4ca12d797bb3f5356 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_31ea682e3c148efc/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,396 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=ord_3, measure_col=month.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "ord_3", + "measure_col": "month", + "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": 7.92, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_31ea682e3c148efc/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_31ea682e3c148efc/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e76f68b34aa45079fd7dddf4ca12d797bb3f5356 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_31ea682e3c148efc/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,396 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=ord_3, measure_col=month.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "ord_3", + "measure_col": "month", + "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": 7.92, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_31ea682e3c148efc/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_31ea682e3c148efc/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6eb72c4c0b97f6c9b5b9b319a3136697fd330be0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_31ea682e3c148efc/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-ba59-78c2-9b09-6c1da4138934"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_31ea682e3c148efc/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_31ea682e3c148efc/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..24dca547f4639b1cb127b05db3a9b3acf9b5d84d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_31ea682e3c148efc/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-ba59-78c2-9b09-6c1da4138934"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_31ea682e3c148efc/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_31ea682e3c148efc/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..812c8725d0a5f612470a8bef4199865d1380f416 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_31ea682e3c148efc/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-ca4d-7383-8652-6c08c9790058"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_31ea682e3c148efc/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_31ea682e3c148efc/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..8d67cfc850b31e403273966975df3641b71a60ae --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_31ea682e3c148efc/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-ca4d-7383-8652-6c08c9790058"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_31ea682e3c148efc/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_31ea682e3c148efc/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_31ea682e3c148efc/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_31ea682e3c148efc/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3963cec9a9d007e5/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3963cec9a9d007e5/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..469eaa94bce5226032d642ba5b3abdf30e4d83ac --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3963cec9a9d007e5/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:02:06.720130+00:00", + "ended_at": "2026-05-19T16:02:10.477516+00:00", + "elapsed_ms": 3757.35, + "returncode": 1, + "prompt_metrics": { + "chars": 12456, + "bytes_utf8": 12456, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3963cec9a9d007e5/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3963cec9a9d007e5/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c5c210ea34161f17048cb8d44c4978a81d63f85b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3963cec9a9d007e5/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": "2026-05-19T16:02:11.480273+00:00", + "ended_at": "2026-05-19T16:02:14.820597+00:00", + "elapsed_ms": 3340.28, + "returncode": 1, + "prompt_metrics": { + "chars": 12456, + "bytes_utf8": 12456, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3963cec9a9d007e5/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3963cec9a9d007e5/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e0d4d3672c0dd7fb85f50c8a396f05a8692febba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3963cec9a9d007e5/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,396 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=bin_1, measure_col=id.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "bin_1", + "measure_col": "id", + "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": 509036.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3963cec9a9d007e5/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3963cec9a9d007e5/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e0d4d3672c0dd7fb85f50c8a396f05a8692febba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3963cec9a9d007e5/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,396 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=bin_1, measure_col=id.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "bin_1", + "measure_col": "id", + "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": 509036.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3963cec9a9d007e5/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3963cec9a9d007e5/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5506c55c70c36bc4f2797a874a8cc1e6d5dbfee5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3963cec9a9d007e5/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-1820-7fc1-a9b1-1480b28e22ae"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3963cec9a9d007e5/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3963cec9a9d007e5/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1e58dbc76c23b60158814c6fc6db5c366e8153b1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3963cec9a9d007e5/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-1820-7fc1-a9b1-1480b28e22ae"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3963cec9a9d007e5/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3963cec9a9d007e5/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..9b03eef0665cae89f783318d15269549929fce4d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3963cec9a9d007e5/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-2ab7-7920-8a9c-7ac8a92a13ea"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3963cec9a9d007e5/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3963cec9a9d007e5/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..437bc14141d0b79c0e6525e48b081009868f0a73 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3963cec9a9d007e5/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-2ab7-7920-8a9c-7ac8a92a13ea"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3963cec9a9d007e5/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3963cec9a9d007e5/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3963cec9a9d007e5/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3963cec9a9d007e5/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3a3d8dc4f280acd4/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3a3d8dc4f280acd4/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..11a2e3f9075f3f16d9a8263c17becdc5f941b475 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3a3d8dc4f280acd4/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=bin_0. +Result preview: [{"bin_0": "1.0"}, {"bin_0": "1.0"}, {"bin_0": "1.0"}, {"bin_0": "1.0"}, {"bin_0": "1.0"}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3a3d8dc4f280acd4/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3a3d8dc4f280acd4/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..2bc1b1f472073befb50892cca8420d4bc012f1fb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3a3d8dc4f280acd4/generated_sql.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c15 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_m4_quantile_tail_slice +-- query_record_id: v2q_c15_3a3d8dc4f280acd4 +-- problem_id: v2p_c15_1e2cf55b6e609646 +-- realization_mode: agent +-- source_kind: agent +WITH "buckets" AS ( + SELECT + "bin_0", + CAST(NULLIF("bin_0", '') AS REAL) AS "bin_0_num", + NTILE(10) OVER (ORDER BY CAST(NULLIF("bin_0", '') AS REAL) DESC) AS "tail_bucket" + FROM "c15" + WHERE NULLIF("bin_0", '') IS NOT NULL +) +SELECT "bin_0" +FROM "buckets" +WHERE "tail_bucket" = 1 +ORDER BY "bin_0_num" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3a3d8dc4f280acd4/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3a3d8dc4f280acd4/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e272484b116322ae09d9fb2e9f8c5d78c653e3c2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3a3d8dc4f280acd4/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_quantile_tail_slice.\nWITH \"buckets\" AS (\n SELECT\n \"bin_0\",\n CAST(NULLIF(\"bin_0\", '') AS REAL) AS \"bin_0_num\",\n NTILE(10) OVER (ORDER BY CAST(NULLIF(\"bin_0\", '') AS REAL) DESC) AS \"tail_bucket\"\n FROM \"c15\"\n WHERE NULLIF(\"bin_0\", '') IS NOT NULL\n)\nSELECT \"bin_0\"\nFROM \"buckets\"\nWHERE \"tail_bucket\" = 1\nORDER BY \"bin_0_num\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_quantile_tail_slice.\\nWITH \\\"buckets\\\" AS (\\n SELECT\\n \\\"bin_0\\\",\\n CAST(NULLIF(\\\"bin_0\\\", '') AS REAL) AS \\\"bin_0_num\\\",\\n NTILE(10) OVER (ORDER BY CAST(NULLIF(\\\"bin_0\\\", '') AS REAL) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"c15\\\"\\n WHERE NULLIF(\\\"bin_0\\\", '') IS NOT NULL\\n)\\nSELECT \\\"bin_0\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"bin_0_num\\\" DESC;\", \"columns\": [\"bin_0\"], \"rows\": [{\"bin_0\": \"1.0\"}, {\"bin_0\": \"1.0\"}, {\"bin_0\": \"1.0\"}, {\"bin_0\": \"1.0\"}, {\"bin_0\": \"1.0\"}, {\"bin_0\": \"1.0\"}, {\"bin_0\": \"1.0\"}, {\"bin_0\": \"1.0\"}, {\"bin_0\": \"1.0\"}, {\"bin_0\": \"1.0\"}, {\"bin_0\": \"1.0\"}, {\"bin_0\": \"1.0\"}, {\"bin_0\": \"1.0\"}, {\"bin_0\": \"1.0\"}, {\"bin_0\": \"1.0\"}, {\"bin_0\": \"1.0\"}, {\"bin_0\": \"1.0\"}, {\"bin_0\": \"1.0\"}, {\"bin_0\": \"1.0\"}, {\"bin_0\": \"1.0\"}, {\"bin_0\": \"1.0\"}, {\"bin_0\": \"1.0\"}, {\"bin_0\": \"1.0\"}, {\"bin_0\": \"1.0\"}, {\"bin_0\": \"1.0\"}, {\"bin_0\": \"1.0\"}, {\"bin_0\": \"1.0\"}, {\"bin_0\": \"1.0\"}, {\"bin_0\": \"1.0\"}, {\"bin_0\": \"1.0\"}, {\"bin_0\": \"1.0\"}, {\"bin_0\": \"1.0\"}, {\"bin_0\": \"1.0\"}, {\"bin_0\": \"1.0\"}, {\"bin_0\": \"1.0\"}, {\"bin_0\": \"1.0\"}, {\"bin_0\": \"1.0\"}, {\"bin_0\": \"1.0\"}, {\"bin_0\": \"1.0\"}, {\"bin_0\": \"1.0\"}, {\"bin_0\": \"1.0\"}, {\"bin_0\": \"1.0\"}, {\"bin_0\": \"1.0\"}, {\"bin_0\": \"1.0\"}, {\"bin_0\": \"1.0\"}, {\"bin_0\": \"1.0\"}, {\"bin_0\": \"1.0\"}, {\"bin_0\": \"1.0\"}, {\"bin_0\": \"1.0\"}, {\"bin_0\": \"1.0\"}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 921.88}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3a3d8dc4f280acd4/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3a3d8dc4f280acd4/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..afe07e33babb3fa2c2c361b86b145d9a3c68ce02 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3a3d8dc4f280acd4/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c15", + "started_at": "2026-05-19T15:49:15.472200+00:00", + "ended_at": "2026-05-19T15:49:37.351392+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c15_3a3d8dc4f280acd4", + "problem_id": "v2p_c15_1e2cf55b6e609646", + "dataset_id": "c15", + "template_id": "tpl_m4_quantile_tail_slice", + "template_name": "Quantile Tail Slice", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=bin_0.", + "bindings": { + "measure_col": "bin_0", + "top_k": 14, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.75, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=1/1", + "binding_index=64" + ], + "template_selection_mode": "rule", + "selected_template_rank": 6, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/sql/v2q_c15_3a3d8dc4f280acd4.sql", + "usage_summary": { + "dataset_id": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_3a3d8dc4f280acd4", + "api_calls": 0, + "input_tokens": 16111, + "cached_input_tokens": 14720, + "output_tokens": 993, + "total_tokens": 17104, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 20918.99, + "sql_execution_elapsed_ms_total": 921.88, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3a3d8dc4f280acd4/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3a3d8dc4f280acd4/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3a3d8dc4f280acd4/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..894b361582cef1681495a79bd9430b7b086a5ba4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3a3d8dc4f280acd4/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:49:36.422764+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 20918.99, "started_at": "2026-05-19T15:49:15.502881+00:00", "ended_at": "2026-05-19T15:49:36.421905+00:00", "prompt_metrics": {"chars": 12458, "bytes_utf8": 12458, "lines": 394, "estimated_tokens": null}, "response_metrics": {"chars": 683, "bytes_utf8": 683, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16111, "cached_input_tokens": 14720, "output_tokens": 993, "reasoning_output_tokens": 791}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice.\\nWITH \\\"buckets\\\" AS (\\n SELECT\\n \\\"bin_0\\\",\\n CAST(NULLIF(\\\"bin_0\\\", '') AS REAL) AS \\\"bin_0_num\\\",\\n NTILE(10) OVER (ORDER BY CAST(NULLIF(\\\"bin_0\\\", '') AS REAL) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"c15\\\"\\n WHERE NULLIF(\\\"bin_0\\\", '') IS NOT NULL\\n)\\nSELECT \\\"bin_0\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"bin_0_num\\\" DESC;\",\"notes\":\"Uses the requested Quantile Tail Slice template with measure_col bound to \\\"bin_0\\\". Because \\\"bin_0\\\" is stored as TEXT and may contain empty strings, the query excludes empty values and casts to REAL for SQLite-compatible numeric tail bucketing.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3a3d8dc4f280acd4/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3a3d8dc4f280acd4/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..e6e04f8c777aa79c49cb3ba3d9b3a5f7a98eda4a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3a3d8dc4f280acd4/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_3a3d8dc4f280acd4", + "api_calls": 0, + "input_tokens": 16111, + "cached_input_tokens": 14720, + "output_tokens": 993, + "total_tokens": 17104, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 20918.99, + "sql_execution_elapsed_ms_total": 921.88, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3a3d8dc4f280acd4/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3ac90519661807fd/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3ac90519661807fd/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..aeabde04d21b13b191b2e39fbe7bd3df5691cf61 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3ac90519661807fd/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": "2026-05-19T16:12:07.710821+00:00", + "ended_at": "2026-05-19T16:12:11.503505+00:00", + "elapsed_ms": 3792.65, + "returncode": 1, + "prompt_metrics": { + "chars": 12367, + "bytes_utf8": 12367, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3ac90519661807fd/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3ac90519661807fd/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..fd058623cdbf52003d10e9a25e0742a9a2d0feaa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3ac90519661807fd/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": "2026-05-19T16:12:12.505223+00:00", + "ended_at": "2026-05-19T16:12:15.302372+00:00", + "elapsed_ms": 2797.12, + "returncode": 1, + "prompt_metrics": { + "chars": 12367, + "bytes_utf8": 12367, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3ac90519661807fd/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3ac90519661807fd/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..bc081cc74a3833c0d355a03f555845daf1031193 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3ac90519661807fd/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,396 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=ord_1, measure_col=ord_0.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "ord_1", + "measure_col": "ord_0", + "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": 2.32, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3ac90519661807fd/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3ac90519661807fd/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..bc081cc74a3833c0d355a03f555845daf1031193 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3ac90519661807fd/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,396 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=ord_1, measure_col=ord_0.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "ord_1", + "measure_col": "ord_0", + "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": 2.32, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3ac90519661807fd/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3ac90519661807fd/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..37fe9508cd724cdb9e0a38d30d42b7d069dbda7e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3ac90519661807fd/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-43a8-7be1-9a11-3bc6057af03d"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3ac90519661807fd/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3ac90519661807fd/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c9bfa8df5518d002615b1deac1149475f4b24cf4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3ac90519661807fd/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-43a8-7be1-9a11-3bc6057af03d"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3ac90519661807fd/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3ac90519661807fd/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c1a75a516c9ca1d29133d6ced96be1d02770d982 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3ac90519661807fd/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-564c-7ba1-83f8-2410da7cbf5d"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3ac90519661807fd/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3ac90519661807fd/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..073cd82511ade77aeaac2da0913cf6996f9fd099 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3ac90519661807fd/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-564c-7ba1-83f8-2410da7cbf5d"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3ac90519661807fd/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3ac90519661807fd/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3ac90519661807fd/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3ac90519661807fd/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3d691ea0a3a49a0b/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3d691ea0a3a49a0b/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f6d269e53fa50b14e259e1984a93d6cb1105c8ad --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3d691ea0a3a49a0b/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 13093, "bytes_utf8": 13093, "lines": 399, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 623, "bytes_utf8": 623, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16269, "cached_input_tokens": 14720, "output_tokens": 402, "reasoning_output_tokens": 220}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3d691ea0a3a49a0b/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3d691ea0a3a49a0b/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..0f47301bb234f7b3eb93040212eca16754972a39 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3d691ea0a3a49a0b/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_3d691ea0a3a49a0b", + "api_calls": 0, + "input_tokens": 16269, + "cached_input_tokens": 14720, + "output_tokens": 402, + "total_tokens": 16671, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9746.31, + "sql_execution_elapsed_ms_total": 324.12, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3d691ea0a3a49a0b/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3d691ea0a3a49a0b/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3d691ea0a3a49a0b/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f455406d448969aca423d2ca91dea5ca52e5bb4d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3d691ea0a3a49a0b/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": "2026-05-19T15:43:42.926161+00:00", + "ended_at": "2026-05-19T15:43:52.672510+00:00", + "elapsed_ms": 9746.31, + "prompt_metrics": { + "chars": 13093, + "bytes_utf8": 13093, + "lines": 399, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 992, + "bytes_utf8": 992, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 623, + "bytes_utf8": 623, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16269, + "cached_input_tokens": 14720, + "output_tokens": 402, + "reasoning_output_tokens": 220 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3d691ea0a3a49a0b/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3d691ea0a3a49a0b/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..824ef670e7829b0e8fc5178ba3b8e9943e9f80e8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3d691ea0a3a49a0b/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,399 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=bin_1, condition_col=nom_2.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "bin_1", + "condition_col": "nom_2", + "condition_value": "Dog", + "positive_value": "Dog", + "negative_value": "Lion", + "top_k": 12, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.75, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3d691ea0a3a49a0b/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3d691ea0a3a49a0b/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c6d9736d2b3a87d030b93b1dbb36a79a3388fb78 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3d691ea0a3a49a0b/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e8-4060-7412-afa0-a9e3ffdb8239"} +{"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 \\\"bin_1\\\",\\n SUM(CASE WHEN \\\"nom_2\\\" = 'Dog' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"nom_2\\\" = 'Lion' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"c15\\\"\\n GROUP BY \\\"bin_1\\\"\\n)\\nSELECT \\\"bin_1\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Uses the grouped ratio template with \\\"bin_1\\\" as the grouping column and the Dog-to-Lion count ratio over \\\"nom_2\\\" as the conditional measure.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16269,"cached_input_tokens":14720,"output_tokens":402,"reasoning_output_tokens":220}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3d691ea0a3a49a0b/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3d691ea0a3a49a0b/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3e4673ebb7341e8863876567b38f2db2fb58458c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3d691ea0a3a49a0b/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT \"bin_1\",\n SUM(CASE WHEN \"nom_2\" = 'Dog' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"nom_2\" = 'Lion' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"c15\"\n GROUP BY \"bin_1\"\n)\nSELECT \"bin_1\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;","notes":"Uses the grouped ratio template with \"bin_1\" as the grouping column and the Dog-to-Lion count ratio over \"nom_2\" as the conditional measure."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3d691ea0a3a49a0b/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3d691ea0a3a49a0b/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3d87084084a14ba1/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3d87084084a14ba1/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..df1b4c06e90d152018a1d9498dc6e2c288ff6b7e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3d87084084a14ba1/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:53:34.217934+00:00", + "ended_at": "2026-05-19T15:53:37.803164+00:00", + "elapsed_ms": 3585.2, + "returncode": 1, + "prompt_metrics": { + "chars": 12836, + "bytes_utf8": 12836, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3d87084084a14ba1/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3d87084084a14ba1/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..953c494f659ae7fff7989c0808255c1df98b04c9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3d87084084a14ba1/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": "2026-05-19T15:53:38.805986+00:00", + "ended_at": "2026-05-19T15:53:41.933407+00:00", + "elapsed_ms": 3127.36, + "returncode": 1, + "prompt_metrics": { + "chars": 12836, + "bytes_utf8": 12836, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3d87084084a14ba1/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3d87084084a14ba1/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..dafe87625aa55b800d43c2dd037faa8b4c507224 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3d87084084a14ba1/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,396 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=nom_0, measure_col=id.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "nom_0", + "measure_col": "id", + "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": 502184.84, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3d87084084a14ba1/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3d87084084a14ba1/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..dafe87625aa55b800d43c2dd037faa8b4c507224 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3d87084084a14ba1/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,396 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=nom_0, measure_col=id.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "nom_0", + "measure_col": "id", + "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": 502184.84, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3d87084084a14ba1/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3d87084084a14ba1/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6581901ed1e484cdb31fcfc6dcff3def693af53a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3d87084084a14ba1/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f1-4614-7ce2-ba03-63a24b5fb77e"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3d87084084a14ba1/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3d87084084a14ba1/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..38eadc06080a932f8828f37b8acf9fb6bbe4abed --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3d87084084a14ba1/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f1-4614-7ce2-ba03-63a24b5fb77e"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3d87084084a14ba1/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3d87084084a14ba1/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b8c381bae3484d431746f6792e92257a4945265e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3d87084084a14ba1/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f1-5808-74c0-8255-043db187d8fb"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3d87084084a14ba1/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3d87084084a14ba1/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..b99a0c9315de8628f09a6caf79760b02a680bbbd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3d87084084a14ba1/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f1-5808-74c0-8255-043db187d8fb"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3d87084084a14ba1/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3d87084084a14ba1/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3d87084084a14ba1/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3d87084084a14ba1/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3ec560bfc0492304/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3ec560bfc0492304/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..b87782057b130a1ca4b6cdeb20135260d5153701 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3ec560bfc0492304/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"ord_4": "N", "support": 39978, "avg_response": 299485.9013957677}, {"ord_4": "P", "support": 37890, "avg_response": 301579.7437582476}, {"ord_4": "Y", "support": 36657, "avg_response": 298758.05035873095}, {"ord_4": "A", "support": 36633, "avg_response": 300692.2347610078}, {"ord_4": "R", "support": 33045, "avg_response": 301149.2412467847}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3ec560bfc0492304/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3ec560bfc0492304/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..5b89f488a4bb87e5375ef2697016ec0b338cc900 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3ec560bfc0492304/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c15 +-- family_id: cardinality_structure +-- canonical_subitem_id: high_cardinality_response_stability +-- intended_facet_id: target_cardinality_cross_section +-- variant_semantic_role: focused_target_view +-- template_id: tpl_cardinality_high_card_response_stability +-- query_record_id: v2q_c15_3ec560bfc0492304 +-- problem_id: v2p_c15_3cfd05047a4ec5f7 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "ord_4", + COUNT(*) AS support, + AVG("id") AS avg_response +FROM "c15" +GROUP BY "ord_4" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3ec560bfc0492304/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3ec560bfc0492304/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..655ba7cecaa661aadf953703cb3700a830aea96a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3ec560bfc0492304/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_b\n-- sql_source_dataset_id: c15\n-- family_id: cardinality_structure\n-- canonical_subitem_id: high_cardinality_response_stability\n-- intended_facet_id: target_cardinality_cross_section\n-- variant_semantic_role: focused_target_view\n-- template_id: tpl_cardinality_high_card_response_stability\n-- query_record_id: v2q_c15_3ec560bfc0492304\n-- problem_id: v2p_c15_3cfd05047a4ec5f7\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"ord_4\",\n COUNT(*) AS support,\n AVG(\"id\") AS avg_response\nFROM \"c15\"\nGROUP BY \"ord_4\"\nHAVING COUNT(*) >= 5.0\nORDER BY support DESC, avg_response DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_b\\n-- sql_source_dataset_id: c15\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: high_cardinality_response_stability\\n-- intended_facet_id: target_cardinality_cross_section\\n-- variant_semantic_role: focused_target_view\\n-- template_id: tpl_cardinality_high_card_response_stability\\n-- query_record_id: v2q_c15_3ec560bfc0492304\\n-- problem_id: v2p_c15_3cfd05047a4ec5f7\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"ord_4\\\",\\n COUNT(*) AS support,\\n AVG(\\\"id\\\") AS avg_response\\nFROM \\\"c15\\\"\\nGROUP BY \\\"ord_4\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"ord_4\", \"support\", \"avg_response\"], \"rows\": [{\"ord_4\": \"N\", \"support\": 39978, \"avg_response\": 299485.9013957677}, {\"ord_4\": \"P\", \"support\": 37890, \"avg_response\": 301579.7437582476}, {\"ord_4\": \"Y\", \"support\": 36657, \"avg_response\": 298758.05035873095}, {\"ord_4\": \"A\", \"support\": 36633, \"avg_response\": 300692.2347610078}, {\"ord_4\": \"R\", \"support\": 33045, \"avg_response\": 301149.2412467847}, {\"ord_4\": \"U\", \"support\": 32897, \"avg_response\": 299793.6372921543}, {\"ord_4\": \"M\", \"support\": 32504, \"avg_response\": 299388.5702990401}, {\"ord_4\": \"X\", \"support\": 32347, \"avg_response\": 299803.6604012737}, {\"ord_4\": \"C\", \"support\": 32112, \"avg_response\": 297331.15928624815}, {\"ord_4\": \"H\", \"support\": 31189, \"avg_response\": 299891.2964827343}, {\"ord_4\": \"Q\", \"support\": 30145, \"avg_response\": 300496.8374854868}, {\"ord_4\": \"T\", \"support\": 29723, \"avg_response\": 298157.4469266225}, {\"ord_4\": \"O\", \"support\": 25610, \"avg_response\": 299886.089105818}, {\"ord_4\": \"B\", \"support\": 25212, \"avg_response\": 299347.8562589243}, {\"ord_4\": \"E\", \"support\": 21871, \"avg_response\": 300736.59544602444}, {\"ord_4\": \"K\", \"support\": 21676, \"avg_response\": 301279.328750692}, {\"ord_4\": \"I\", \"support\": 19805, \"avg_response\": 300071.08235294116}, {\"ord_4\": \"\", \"support\": 17930, \"avg_response\": 299936.74696040154}, {\"ord_4\": \"D\", \"support\": 17284, \"avg_response\": 301075.5255149271}, {\"ord_4\": \"F\", \"support\": 16721, \"avg_response\": 303317.8796722684}, {\"ord_4\": \"W\", \"support\": 8268, \"avg_response\": 298300.37626995647}, {\"ord_4\": \"Z\", \"support\": 5790, \"avg_response\": 299072.14006908465}, {\"ord_4\": \"S\", \"support\": 4595, \"avg_response\": 300736.60326441785}, {\"ord_4\": \"G\", \"support\": 3404, \"avg_response\": 305106.11222091655}, {\"ord_4\": \"V\", \"support\": 3107, \"avg_response\": 298940.5909237206}, {\"ord_4\": \"J\", \"support\": 1950, \"avg_response\": 305956.43025641027}, {\"ord_4\": \"L\", \"support\": 1657, \"avg_response\": 297582.5226312613}], \"row_count_returned\": 27, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 392.87}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3ec560bfc0492304/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3ec560bfc0492304/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..318561353b81b476677e1539ec94adc4c42589af --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3ec560bfc0492304/run_manifest.json @@ -0,0 +1,60 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c15", + "started_at": "2026-05-19T16:13:20.454495+00:00", + "ended_at": "2026-05-19T16:13:20.848650+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c15_3ec560bfc0492304", + "problem_id": "v2p_c15_3cfd05047a4ec5f7", + "dataset_id": "c15", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=id, key_col=ord_4.", + "bindings": { + "key_col": "ord_4", + "measure_col": "id", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=10", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 10, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/sql/v2q_c15_3ec560bfc0492304.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3ec560bfc0492304/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3ec560bfc0492304/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3ec560bfc0492304/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_403ea36c031cf590/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_403ea36c031cf590/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..adc7aed6ad8a5b5f186cbd72af876782bae95e9a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_403ea36c031cf590/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=ord_4, condition_col=target. +Result preview: [{"ord_4": "B", "condition_rate": 0.8641519911153419}, {"ord_4": "A", "condition_rate": 0.8632926596238364}, {"ord_4": "C", "condition_rate": 0.8610176880916791}, {"ord_4": "D", "condition_rate": 0.8547789863457533}, {"ord_4": "E", "condition_rate": 0.8498011064880435}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_403ea36c031cf590/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_403ea36c031cf590/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..12d28e507ee0672d5a7e91d647bcbcf874d9a682 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_403ea36c031cf590/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c15 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_c15_403ea36c031cf590 +-- problem_id: v2p_c15_f2af63e5dadf1f0d +-- realization_mode: agent +-- source_kind: agent +SELECT "ord_4", + AVG(CASE WHEN "target" = '0' THEN 1 ELSE 0 END) AS "condition_rate" +FROM "c15" +GROUP BY "ord_4" +ORDER BY "condition_rate" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_403ea36c031cf590/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_403ea36c031cf590/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d81e75109fa6fc352adbc09b1b7bef526079b083 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_403ea36c031cf590/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 2, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_condition_rate\nSELECT \"ord_4\",\n AVG(CASE WHEN \"target\" = '0' THEN 1 ELSE 0 END) AS \"condition_rate\"\nFROM \"c15\"\nGROUP BY \"ord_4\"\nORDER BY \"condition_rate\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"ord_4\\\",\\n AVG(CASE WHEN \\\"target\\\" = '0' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"c15\\\"\\nGROUP BY \\\"ord_4\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\", \"columns\": [\"ord_4\", \"condition_rate\"], \"rows\": [{\"ord_4\": \"B\", \"condition_rate\": 0.8641519911153419}, {\"ord_4\": \"A\", \"condition_rate\": 0.8632926596238364}, {\"ord_4\": \"C\", \"condition_rate\": 0.8610176880916791}, {\"ord_4\": \"D\", \"condition_rate\": 0.8547789863457533}, {\"ord_4\": \"E\", \"condition_rate\": 0.8498011064880435}, {\"ord_4\": \"F\", \"condition_rate\": 0.843370611805514}, {\"ord_4\": \"G\", \"condition_rate\": 0.8387191539365453}, {\"ord_4\": \"H\", \"condition_rate\": 0.8376350636442336}, {\"ord_4\": \"I\", \"condition_rate\": 0.8345367331481949}, {\"ord_4\": \"K\", \"condition_rate\": 0.8255674478686105}, {\"ord_4\": \"J\", \"condition_rate\": 0.8246153846153846}, {\"ord_4\": \"L\", \"condition_rate\": 0.815932407966204}, {\"ord_4\": \"M\", \"condition_rate\": 0.815530396258922}, {\"ord_4\": \"N\", \"condition_rate\": 0.8128970934013707}, {\"ord_4\": \"\", \"condition_rate\": 0.8109871723368656}, {\"ord_4\": \"O\", \"condition_rate\": 0.806833268254588}, {\"ord_4\": \"P\", \"condition_rate\": 0.7989970968593296}, {\"ord_4\": \"Q\", \"condition_rate\": 0.7969812572565931}, {\"ord_4\": \"R\", \"condition_rate\": 0.792616129520351}, {\"ord_4\": \"S\", \"condition_rate\": 0.7926006528835691}, {\"ord_4\": \"T\", \"condition_rate\": 0.7801029505769942}, {\"ord_4\": \"U\", \"condition_rate\": 0.7770617381524151}, {\"ord_4\": \"V\", \"condition_rate\": 0.7734148696491793}, {\"ord_4\": \"W\", \"condition_rate\": 0.7704402515723271}, {\"ord_4\": \"X\", \"condition_rate\": 0.7662534392679383}, {\"ord_4\": \"Y\", \"condition_rate\": 0.757781596966473}, {\"ord_4\": \"Z\", \"condition_rate\": 0.7531951640759931}], \"row_count_returned\": 27, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 355.34}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_403ea36c031cf590/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_403ea36c031cf590/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..67557aacb3e0d1bd2ca0206848f387e18b6c580d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_403ea36c031cf590/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c15", + "started_at": "2026-05-19T16:06:56.754726+00:00", + "ended_at": "2026-05-19T16:07:11.479257+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c15_403ea36c031cf590", + "problem_id": "v2p_c15_f2af63e5dadf1f0d", + "dataset_id": "c15", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=ord_4, condition_col=target.", + "bindings": { + "group_col": "ord_4", + "condition_col": "target", + "condition_value": "0", + "positive_value": "0", + "negative_value": "1", + "top_k": 14, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 9.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=9", + "sql_variant_index=1/2", + "binding_index=104" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/sql/v2q_c15_403ea36c031cf590.sql", + "usage_summary": { + "dataset_id": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_403ea36c031cf590", + "api_calls": 0, + "input_tokens": 16118, + "cached_input_tokens": 12032, + "output_tokens": 440, + "total_tokens": 16558, + "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": 13330.94, + "sql_execution_elapsed_ms_total": 355.34, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_403ea36c031cf590/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_403ea36c031cf590/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_403ea36c031cf590/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6767171766152d66b6c5f3c5020352665d830c24 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_403ea36c031cf590/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:06:59.697596+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 2909.27, "started_at": "2026-05-19T16:06:56.786559+00:00", "ended_at": "2026-05-19T16:06:59.695864+00:00", "prompt_metrics": {"chars": 12532, "bytes_utf8": 12532, "lines": 399, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fd-8537-7ea2-913c-620706511d7b\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:07:11.121593+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 10421.67, "started_at": "2026-05-19T16:07:00.698581+00:00", "ended_at": "2026-05-19T16:07:11.120290+00:00", "prompt_metrics": {"chars": 12532, "bytes_utf8": 12532, "lines": 399, "estimated_tokens": null}, "response_metrics": {"chars": 414, "bytes_utf8": 414, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16118, "cached_input_tokens": 12032, "output_tokens": 440, "reasoning_output_tokens": 322}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"ord_4\\\",\\n AVG(CASE WHEN \\\"target\\\" = '0' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"c15\\\"\\nGROUP BY \\\"ord_4\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Applied the provided Grouped Condition Rate template with group_col=\\\"ord_4\\\" and condition_col=\\\"target\\\", using text literal '0' because the SQLite schema shows \\\"target\\\" as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_403ea36c031cf590/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_403ea36c031cf590/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..46dd276313ee0bdcf745e2f4cd1f112bf97ce4f1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_403ea36c031cf590/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_403ea36c031cf590", + "api_calls": 0, + "input_tokens": 16118, + "cached_input_tokens": 12032, + "output_tokens": 440, + "total_tokens": 16558, + "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": 13330.94, + "sql_execution_elapsed_ms_total": 355.34, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_403ea36c031cf590/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4195b04751c7b5cf/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4195b04751c7b5cf/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3298b98a88265899599acda6b47adfb709e92e3c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4195b04751c7b5cf/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12457, "bytes_utf8": 12457, "lines": 394, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 575, "bytes_utf8": 575, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16111, "cached_input_tokens": 12032, "output_tokens": 568, "reasoning_output_tokens": 386}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4195b04751c7b5cf/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4195b04751c7b5cf/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..2adfbd6c7c9acc44324a664f300f0bf52f63752c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4195b04751c7b5cf/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_4195b04751c7b5cf", + "api_calls": 0, + "input_tokens": 16111, + "cached_input_tokens": 12032, + "output_tokens": 568, + "total_tokens": 16679, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12101.59, + "sql_execution_elapsed_ms_total": 956.98, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4195b04751c7b5cf/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4195b04751c7b5cf/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4195b04751c7b5cf/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ccdaff8b99a41935b20b6438731b4b581ba4f185 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4195b04751c7b5cf/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": "2026-05-19T15:49:37.383367+00:00", + "ended_at": "2026-05-19T15:49:49.484986+00:00", + "elapsed_ms": 12101.59, + "prompt_metrics": { + "chars": 12457, + "bytes_utf8": 12457, + "lines": 394, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 964, + "bytes_utf8": 964, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 575, + "bytes_utf8": 575, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16111, + "cached_input_tokens": 12032, + "output_tokens": 568, + "reasoning_output_tokens": 386 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4195b04751c7b5cf/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4195b04751c7b5cf/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6e868928d72c28427567f55119833b65e20c45ba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4195b04751c7b5cf/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,394 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=bin_1.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "bindings": { + "measure_col": "bin_1", + "top_k": 10, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.75, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4195b04751c7b5cf/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4195b04751c7b5cf/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5d359b0cec3ccad49cb9de6052110f692b1dfd4d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4195b04751c7b5cf/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ed-a8e8-71d1-b0ec-a8c1f9d76e16"} +{"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(NULLIF(\\\"bin_1\\\", '') AS REAL) AS \\\"bin_1\\\",\\n NTILE(10) OVER (ORDER BY CAST(NULLIF(\\\"bin_1\\\", '') AS REAL) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"c15\\\"\\n WHERE NULLIF(\\\"bin_1\\\", '') IS NOT NULL\\n)\\nSELECT \\\"bin_1\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"bin_1\\\" DESC;\",\"notes\":\"Applied the Quantile Tail Slice template on \\\"bin_1\\\" with 10 tiles. Casted \\\"bin_1\\\" to REAL and excluded empty strings because the SQLite schema stores this measure column as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16111,"cached_input_tokens":12032,"output_tokens":568,"reasoning_output_tokens":386}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4195b04751c7b5cf/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4195b04751c7b5cf/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..56ddeb8fee8ce9476a9dc497875f0df4d021ec15 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4195b04751c7b5cf/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_quantile_tail_slice\nWITH \"buckets\" AS (\n SELECT\n CAST(NULLIF(\"bin_1\", '') AS REAL) AS \"bin_1\",\n NTILE(10) OVER (ORDER BY CAST(NULLIF(\"bin_1\", '') AS REAL) DESC) AS \"tail_bucket\"\n FROM \"c15\"\n WHERE NULLIF(\"bin_1\", '') IS NOT NULL\n)\nSELECT \"bin_1\"\nFROM \"buckets\"\nWHERE \"tail_bucket\" = 1\nORDER BY \"bin_1\" DESC;","notes":"Applied the Quantile Tail Slice template on \"bin_1\" with 10 tiles. Casted \"bin_1\" to REAL and excluded empty strings because the SQLite schema stores this measure column as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4195b04751c7b5cf/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4195b04751c7b5cf/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_42c9448669a291f9/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_42c9448669a291f9/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..46a725e8cb4d27bcad1c81f0c54243d00be0f7cf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_42c9448669a291f9/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"total_rows": 600000, "missing_rows": 0, "missing_rate": 0.0}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_42c9448669a291f9/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_42c9448669a291f9/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..b211d1fc05696570ae0aeb0710609e4751abc82e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_42c9448669a291f9/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c15 +-- family_id: missingness_structure +-- canonical_subitem_id: marginal_missing_rate_consistency +-- intended_facet_id: missing_indicator_distribution +-- variant_semantic_role: missing_indicator_view +-- template_id: tpl_missing_marginal_rate_profile +-- query_record_id: v2q_c15_42c9448669a291f9 +-- problem_id: v2p_c15_921a4f255d4dede7 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + COUNT(*) AS total_rows, + SUM(CASE WHEN "ord_4" IS NULL THEN 1 ELSE 0 END) AS missing_rows, + AVG(CASE WHEN "ord_4" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate +FROM "c15"; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_42c9448669a291f9/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_42c9448669a291f9/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0a2a739180f16896adcbcccc01852005510a1f68 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_42c9448669a291f9/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_b\n-- sql_source_dataset_id: c15\n-- family_id: missingness_structure\n-- canonical_subitem_id: marginal_missing_rate_consistency\n-- intended_facet_id: missing_indicator_distribution\n-- variant_semantic_role: missing_indicator_view\n-- template_id: tpl_missing_marginal_rate_profile\n-- query_record_id: v2q_c15_42c9448669a291f9\n-- problem_id: v2p_c15_921a4f255d4dede7\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n COUNT(*) AS total_rows,\n SUM(CASE WHEN \"ord_4\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN \"ord_4\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM \"c15\";", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_b\\n-- sql_source_dataset_id: c15\\n-- family_id: missingness_structure\\n-- canonical_subitem_id: marginal_missing_rate_consistency\\n-- intended_facet_id: missing_indicator_distribution\\n-- variant_semantic_role: missing_indicator_view\\n-- template_id: tpl_missing_marginal_rate_profile\\n-- query_record_id: v2q_c15_42c9448669a291f9\\n-- problem_id: v2p_c15_921a4f255d4dede7\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n COUNT(*) AS total_rows,\\n SUM(CASE WHEN \\\"ord_4\\\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\\n AVG(CASE WHEN \\\"ord_4\\\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\\nFROM \\\"c15\\\";\", \"columns\": [\"total_rows\", \"missing_rows\", \"missing_rate\"], \"rows\": [{\"total_rows\": 600000, \"missing_rows\": 0, \"missing_rate\": 0.0}], \"row_count_returned\": 1, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 113.96}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_42c9448669a291f9/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_42c9448669a291f9/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..804f3808909084748b4c71990bf95c64e8f0bfae --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_42c9448669a291f9/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c15", + "started_at": "2026-05-19T16:13:01.352184+00:00", + "ended_at": "2026-05-19T16:13:01.467148+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c15_42c9448669a291f9", + "problem_id": "v2p_c15_921a4f255d4dede7", + "dataset_id": "c15", + "template_id": "tpl_missing_marginal_rate_profile", + "template_name": "Marginal Missing Rate Profile", + "family_id": "missingness_structure", + "canonical_subitem_id": "marginal_missing_rate_consistency", + "intended_facet_id": "missing_indicator_distribution", + "variant_semantic_role": "missing_indicator_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": false, + "question": "Use template Marginal Missing Rate Profile to probe marginal_missing_rate_consistency with semantic role missing_indicator_view. Focus on missing_col=ord_4.", + "bindings": { + "missing_col": "ord_4" + }, + "binding_roles": [ + "missing_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n COUNT(*) AS total_rows,\n SUM(CASE WHEN {missing_col} IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN {missing_col} IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM {table};", + "notes": [ + "default_facets=missing_indicator_distribution", + "template_selection_mode=deterministic", + "problem_index_within_template=11", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 11, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/sql/v2q_c15_42c9448669a291f9.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_42c9448669a291f9/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_42c9448669a291f9/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_42c9448669a291f9/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_434870c19737027d/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_434870c19737027d/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3b5c092cc620670b5fa71a814c17318e87a1b34b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_434870c19737027d/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12280, "bytes_utf8": 12280, "lines": 396, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 373, "bytes_utf8": 373, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16060, "cached_input_tokens": 12032, "output_tokens": 372, "reasoning_output_tokens": 261}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_434870c19737027d/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_434870c19737027d/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..84fb07c9130c758c15c58cf9cc235f00df17c5c9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_434870c19737027d/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_434870c19737027d", + "api_calls": 0, + "input_tokens": 16060, + "cached_input_tokens": 12032, + "output_tokens": 372, + "total_tokens": 16432, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10051.88, + "sql_execution_elapsed_ms_total": 297.19, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_434870c19737027d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_434870c19737027d/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_434870c19737027d/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f885b6c2041a728ac94f43800f1782213d3c5d14 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_434870c19737027d/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": "2026-05-19T15:28:37.911474+00:00", + "ended_at": "2026-05-19T15:28:47.963395+00:00", + "elapsed_ms": 10051.88, + "prompt_metrics": { + "chars": 12280, + "bytes_utf8": 12280, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 735, + "bytes_utf8": 735, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 373, + "bytes_utf8": 373, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16060, + "cached_input_tokens": 12032, + "output_tokens": 372, + "reasoning_output_tokens": 261 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_434870c19737027d/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_434870c19737027d/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ffc075d280c6ac79fbfd6379726d65ffc21f128e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_434870c19737027d/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,396 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=bin_1, measure_col=bin_0.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "bin_1", + "measure_col": "bin_0", + "top_k": 11, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.75, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_434870c19737027d/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_434870c19737027d/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..9b01c136e45f938f294540a4f1cfe5c25185d852 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_434870c19737027d/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40da-7144-7e40-96cd-066eaf4f44ae"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"bin_1\\\", SUM(CAST(NULLIF(\\\"bin_0\\\", '') AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"c15\\\"\\nGROUP BY \\\"bin_1\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Applied the grouped numeric sum template with group_col=\\\"bin_1\\\" and measure_col=\\\"bin_0\\\". CAST and NULLIF handle TEXT-typed numeric values and empty strings in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16060,"cached_input_tokens":12032,"output_tokens":372,"reasoning_output_tokens":261}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_434870c19737027d/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_434870c19737027d/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..221c29ba7b84b6c77de3afef32e6f1ecd455defb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_434870c19737027d/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"bin_1\", SUM(CAST(NULLIF(\"bin_0\", '') AS REAL)) AS \"total_measure\"\nFROM \"c15\"\nGROUP BY \"bin_1\"\nORDER BY \"total_measure\" DESC;","notes":"Applied the grouped numeric sum template with group_col=\"bin_1\" and measure_col=\"bin_0\". CAST and NULLIF handle TEXT-typed numeric values and empty strings in SQLite."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_434870c19737027d/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_434870c19737027d/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4481ecdb2e2907bc/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4481ecdb2e2907bc/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..7651b98306e4e7dc7ff069a93b05a33f0386affa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4481ecdb2e2907bc/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "Triangle", "support": 164190, "support_share": 0.27365, "cumulative_support": 164190}, {"value_label": "Polygon", "support": 152563, "support_share": 0.2542716666666667, "cumulative_support": 316753}, {"value_label": "Trapezoid", "support": 119438, "support_share": 0.19906333333333334, "cumulative_support": 436191}, {"value_label": "Circle", "support": 104995, "support_share": 0.17499166666666666, "cumulative_support": 541186}, {"value_label": "Square", "support": 26503, "support_share": 0.044171666666666665, "cumulative_support": 567689}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4481ecdb2e2907bc/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4481ecdb2e2907bc/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..27040a1c768cfbbdf86d9daff719821507ab86f0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4481ecdb2e2907bc/generated_sql.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c15 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: support_concentration +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_cardinality_distinct_share_profile +-- query_record_id: v2q_c15_4481ecdb2e2907bc +-- problem_id: v2p_c15_92b095f55c8cd71e +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "nom_1" AS value_label, COUNT(*) AS support + FROM "c15" + GROUP BY "nom_1" +), ranked AS ( + SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support + FROM grouped +) +SELECT * +FROM ranked +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4481ecdb2e2907bc/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4481ecdb2e2907bc/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9d5a24b90a581b66053dbe8a1aba58a37ff132f6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4481ecdb2e2907bc/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_b\n-- sql_source_dataset_id: c15\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: support_concentration\n-- variant_semantic_role: ranked_signal_view\n-- template_id: tpl_cardinality_distinct_share_profile\n-- query_record_id: v2q_c15_4481ecdb2e2907bc\n-- problem_id: v2p_c15_92b095f55c8cd71e\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"nom_1\" AS value_label, COUNT(*) AS support\n FROM \"c15\"\n GROUP BY \"nom_1\"\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_b\\n-- sql_source_dataset_id: c15\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: support_concentration\\n-- variant_semantic_role: ranked_signal_view\\n-- template_id: tpl_cardinality_distinct_share_profile\\n-- query_record_id: v2q_c15_4481ecdb2e2907bc\\n-- problem_id: v2p_c15_92b095f55c8cd71e\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"nom_1\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"c15\\\"\\n GROUP BY \\\"nom_1\\\"\\n), ranked AS (\\n SELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\\n FROM grouped\\n)\\nSELECT *\\nFROM ranked\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"cumulative_support\"], \"rows\": [{\"value_label\": \"Triangle\", \"support\": 164190, \"support_share\": 0.27365, \"cumulative_support\": 164190}, {\"value_label\": \"Polygon\", \"support\": 152563, \"support_share\": 0.2542716666666667, \"cumulative_support\": 316753}, {\"value_label\": \"Trapezoid\", \"support\": 119438, \"support_share\": 0.19906333333333334, \"cumulative_support\": 436191}, {\"value_label\": \"Circle\", \"support\": 104995, \"support_share\": 0.17499166666666666, \"cumulative_support\": 541186}, {\"value_label\": \"Square\", \"support\": 26503, \"support_share\": 0.044171666666666665, \"cumulative_support\": 567689}, {\"value_label\": \"\", \"support\": 18156, \"support_share\": 0.03026, \"cumulative_support\": 585845}, {\"value_label\": \"Star\", \"support\": 14155, \"support_share\": 0.023591666666666667, \"cumulative_support\": 600000}], \"row_count_returned\": 7, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 272.82}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4481ecdb2e2907bc/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4481ecdb2e2907bc/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..528dad19373d1f5d273ba41e14eac2bfe1bfa7f6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4481ecdb2e2907bc/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c15", + "started_at": "2026-05-19T16:13:10.779310+00:00", + "ended_at": "2026-05-19T16:13:11.053282+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c15_4481ecdb2e2907bc", + "problem_id": "v2p_c15_92b095f55c8cd71e", + "dataset_id": "c15", + "template_id": "tpl_cardinality_distinct_share_profile", + "template_name": "Cardinality Distinct Share Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "support_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Distinct Share Profile to probe support_rank_profile_consistency with semantic role ranked_signal_view. Focus on group_col=nom_1.", + "bindings": { + "group_col": "nom_1" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=5", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/sql/v2q_c15_4481ecdb2e2907bc.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4481ecdb2e2907bc/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4481ecdb2e2907bc/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4481ecdb2e2907bc/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_45810ae9b9c3aa7f/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_45810ae9b9c3aa7f/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7ac96d43156d46c18ca84ee5d0dab15fb1867e40 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_45810ae9b9c3aa7f/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": "2026-05-19T16:09:58.002145+00:00", + "ended_at": "2026-05-19T16:10:01.204869+00:00", + "elapsed_ms": 3202.69, + "returncode": 1, + "prompt_metrics": { + "chars": 12277, + "bytes_utf8": 12277, + "lines": 394, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_45810ae9b9c3aa7f/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_45810ae9b9c3aa7f/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..67761ffa9fee02f979b5631d72f97d9e72cc982f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_45810ae9b9c3aa7f/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": "2026-05-19T16:10:02.206719+00:00", + "ended_at": "2026-05-19T16:10:05.306331+00:00", + "elapsed_ms": 3099.58, + "returncode": 1, + "prompt_metrics": { + "chars": 12277, + "bytes_utf8": 12277, + "lines": 394, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_45810ae9b9c3aa7f/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_45810ae9b9c3aa7f/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..423c11b17fdfb1319ddd4b49514d114727153c59 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_45810ae9b9c3aa7f/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,394 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=target.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "target", + "top_k": 10, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 9.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_45810ae9b9c3aa7f/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_45810ae9b9c3aa7f/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..423c11b17fdfb1319ddd4b49514d114727153c59 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_45810ae9b9c3aa7f/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,394 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=target.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "target", + "top_k": 10, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 9.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_45810ae9b9c3aa7f/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_45810ae9b9c3aa7f/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..0fed7000dc70081507a26453caffb6b128eeb35d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_45810ae9b9c3aa7f/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-4901-7c93-8bfb-afcdcfc6a79c"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_45810ae9b9c3aa7f/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_45810ae9b9c3aa7f/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4eea94ac6c8c25c141b8b4f8b197942b8b769a3d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_45810ae9b9c3aa7f/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-4901-7c93-8bfb-afcdcfc6a79c"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_45810ae9b9c3aa7f/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_45810ae9b9c3aa7f/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6c3901df1a5f1e8c0fd3b354ff7965fefe8c9c82 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_45810ae9b9c3aa7f/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-595d-7680-b509-dc543cd48fcf"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_45810ae9b9c3aa7f/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_45810ae9b9c3aa7f/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..a22efc45b7b893cbc41460e4cb2e194f7ae9f420 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_45810ae9b9c3aa7f/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-595d-7680-b509-dc543cd48fcf"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_45810ae9b9c3aa7f/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_45810ae9b9c3aa7f/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_45810ae9b9c3aa7f/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_45810ae9b9c3aa7f/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_45d0eb67dabf44c5/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_45d0eb67dabf44c5/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a1e094db4c1964d98dad764d7f0d624af8f69319 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_45d0eb67dabf44c5/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12838, "bytes_utf8": 12838, "lines": 396, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 748, "bytes_utf8": 748, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16198, "cached_input_tokens": 12032, "output_tokens": 614, "reasoning_output_tokens": 401}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_45d0eb67dabf44c5/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_45d0eb67dabf44c5/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..b3133f78ea988b534973fbb6efe829efd87ce0ee --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_45d0eb67dabf44c5/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_45d0eb67dabf44c5", + "api_calls": 0, + "input_tokens": 16198, + "cached_input_tokens": 12032, + "output_tokens": 614, + "total_tokens": 16812, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12008.89, + "sql_execution_elapsed_ms_total": 375.12, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_45d0eb67dabf44c5/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_45d0eb67dabf44c5/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_45d0eb67dabf44c5/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6a23e5019ae748933602fab4945b6ec604f243bc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_45d0eb67dabf44c5/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": "2026-05-19T15:53:57.497263+00:00", + "ended_at": "2026-05-19T15:54:09.506187+00:00", + "elapsed_ms": 12008.89, + "prompt_metrics": { + "chars": 12838, + "bytes_utf8": 12838, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1129, + "bytes_utf8": 1129, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 748, + "bytes_utf8": 748, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16198, + "cached_input_tokens": 12032, + "output_tokens": 614, + "reasoning_output_tokens": 401 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_45d0eb67dabf44c5/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_45d0eb67dabf44c5/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c2170e051db9f8fffebd708a3a234cf594122f7e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_45d0eb67dabf44c5/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,396 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=nom_1, measure_col=bin_0.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "nom_1", + "measure_col": "bin_0", + "top_k": 18, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.66, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_45d0eb67dabf44c5/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_45d0eb67dabf44c5/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..80294e29f4c46136742b1e228df8491891b3df9d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_45d0eb67dabf44c5/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f1-a109-78d0-ad66-b7db4de78f87"} +{"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 \\\"nom_1\\\", SUM(CAST(NULLIF(\\\"bin_0\\\", '') AS REAL)) AS group_value\\n FROM \\\"c15\\\"\\n WHERE NULLIF(\\\"nom_1\\\", '') IS NOT NULL\\n AND NULLIF(\\\"bin_0\\\", '') IS NOT NULL\\n GROUP BY \\\"nom_1\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"nom_1\\\", 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 requested relative-to-total threshold template with group_col=\\\"nom_1\\\" and measure_col=\\\"bin_0\\\". Because \\\"bin_0\\\" is stored as TEXT, blank strings are filtered and values are cast to REAL before summation.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16198,"cached_input_tokens":12032,"output_tokens":614,"reasoning_output_tokens":401}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_45d0eb67dabf44c5/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_45d0eb67dabf44c5/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6f5051295f95cfa5014fe351d6a6b982f9dd2e16 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_45d0eb67dabf44c5/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"nom_1\", SUM(CAST(NULLIF(\"bin_0\", '') AS REAL)) AS group_value\n FROM \"c15\"\n WHERE NULLIF(\"nom_1\", '') IS NOT NULL\n AND NULLIF(\"bin_0\", '') IS NOT NULL\n GROUP BY \"nom_1\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"nom_1\", 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 requested relative-to-total threshold template with group_col=\"nom_1\" and measure_col=\"bin_0\". Because \"bin_0\" is stored as TEXT, blank strings are filtered and values are cast to REAL before summation."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_45d0eb67dabf44c5/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_45d0eb67dabf44c5/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_461ee956f6ba73cd/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_461ee956f6ba73cd/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..4d8aab1a4dfd33810ad054475968ff35a61d748e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_461ee956f6ba73cd/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "1.0", "support": 227917, "support_share": 0.37986166666666665, "support_rank": 1}, {"value_label": "3.0", "support": 197798, "support_share": 0.3296633333333333, "support_rank": 2}, {"value_label": "2.0", "support": 155997, "support_share": 0.259995, "support_rank": 3}, {"value_label": "", "support": 18288, "support_share": 0.03048, "support_rank": 4}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_461ee956f6ba73cd/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_461ee956f6ba73cd/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..e51da5e88589ccf9f5ed44d9e8c706e611745666 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_461ee956f6ba73cd/generated_sql.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c15 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: value_imbalance_profile +-- variant_semantic_role: count_distribution +-- template_id: tpl_cardinality_support_rank_profile +-- query_record_id: v2q_c15_461ee956f6ba73cd +-- problem_id: v2p_c15_c28c461c1a9c3f48 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "ord_0" AS value_label, COUNT(*) AS support + FROM "c15" + GROUP BY "ord_0" +) +SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank +FROM grouped +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_461ee956f6ba73cd/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_461ee956f6ba73cd/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7aff5b83fb7df597bfb0c2d0aef0db72bbd4577d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_461ee956f6ba73cd/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_b\n-- sql_source_dataset_id: c15\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: value_imbalance_profile\n-- variant_semantic_role: count_distribution\n-- template_id: tpl_cardinality_support_rank_profile\n-- query_record_id: v2q_c15_461ee956f6ba73cd\n-- problem_id: v2p_c15_c28c461c1a9c3f48\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"ord_0\" AS value_label, COUNT(*) AS support\n FROM \"c15\"\n GROUP BY \"ord_0\"\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_b\\n-- sql_source_dataset_id: c15\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: value_imbalance_profile\\n-- variant_semantic_role: count_distribution\\n-- template_id: tpl_cardinality_support_rank_profile\\n-- query_record_id: v2q_c15_461ee956f6ba73cd\\n-- problem_id: v2p_c15_c28c461c1a9c3f48\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"ord_0\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"c15\\\"\\n GROUP BY \\\"ord_0\\\"\\n)\\nSELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\\nFROM grouped\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"support_rank\"], \"rows\": [{\"value_label\": \"1.0\", \"support\": 227917, \"support_share\": 0.37986166666666665, \"support_rank\": 1}, {\"value_label\": \"3.0\", \"support\": 197798, \"support_share\": 0.3296633333333333, \"support_rank\": 2}, {\"value_label\": \"2.0\", \"support\": 155997, \"support_share\": 0.259995, \"support_rank\": 3}, {\"value_label\": \"\", \"support\": 18288, \"support_share\": 0.03048, \"support_rank\": 4}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 275.82}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_461ee956f6ba73cd/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_461ee956f6ba73cd/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..828375c81ad12f065777670fd61722afffff9dbb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_461ee956f6ba73cd/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c15", + "started_at": "2026-05-19T16:13:15.035130+00:00", + "ended_at": "2026-05-19T16:13:15.313578+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c15_461ee956f6ba73cd", + "problem_id": "v2p_c15_c28c461c1a9c3f48", + "dataset_id": "c15", + "template_id": "tpl_cardinality_support_rank_profile", + "template_name": "Cardinality Support Rank Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "value_imbalance_profile", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=ord_0.", + "bindings": { + "group_col": "ord_0" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=8", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/sql/v2q_c15_461ee956f6ba73cd.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_461ee956f6ba73cd/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_461ee956f6ba73cd/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_461ee956f6ba73cd/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_476af806446f170a/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_476af806446f170a/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..df59faa6a638d4d5b44a8ddaf920b9a57e44891c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_476af806446f170a/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c15", + "started_at": "2026-05-19T16:12:00.619100+00:00", + "ended_at": "2026-05-19T16:12:07.678230+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c15_476af806446f170a", + "problem_id": "v2p_c15_9a3e2ad9ef13e123", + "dataset_id": "c15", + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=ord_1, measure_col=ord_0.", + "bindings": { + "group_col": "ord_1", + "measure_col": "ord_0", + "top_k": 12, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2.5, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=1/2", + "binding_index=137" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_476af806446f170a/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_476af806446f170a/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..64a88bf2a128637a603580167999a188d09897a4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_476af806446f170a/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:12:03.542517+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 2889.73, "started_at": "2026-05-19T16:12:00.651638+00:00", "ended_at": "2026-05-19T16:12:03.541400+00:00", "prompt_metrics": {"chars": 12361, "bytes_utf8": 12361, "lines": 396, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e4102-280e-7250-b7be-56c50dfde346\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:12:07.678137+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3132.87, "started_at": "2026-05-19T16:12:04.544414+00:00", "ended_at": "2026-05-19T16:12:07.677329+00:00", "prompt_metrics": {"chars": 12361, "bytes_utf8": 12361, "lines": 396, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e4102-373a-7a80-a0b9-b85a1df5141b\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_49d86e3004a4a60d/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_49d86e3004a4a60d/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c269dc9ad94a5cc25edefc67aca1056585c68486 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_49d86e3004a4a60d/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": "2026-05-19T16:07:28.205078+00:00", + "ended_at": "2026-05-19T16:07:31.501303+00:00", + "elapsed_ms": 3296.2, + "returncode": 1, + "prompt_metrics": { + "chars": 12224, + "bytes_utf8": 12224, + "lines": 394, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_49d86e3004a4a60d/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_49d86e3004a4a60d/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c0f9b3e45ff807a9a9ad0b6d0e4154ce12a62cb5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_49d86e3004a4a60d/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": "2026-05-19T16:07:32.502869+00:00", + "ended_at": "2026-05-19T16:07:35.838441+00:00", + "elapsed_ms": 3335.54, + "returncode": 1, + "prompt_metrics": { + "chars": 12224, + "bytes_utf8": 12224, + "lines": 394, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_49d86e3004a4a60d/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_49d86e3004a4a60d/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..48467dac7a35e170b89523b9c6e4979cf0ea449f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_49d86e3004a4a60d/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,394 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=bin_2.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "bin_2", + "top_k": 13, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.75, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_49d86e3004a4a60d/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_49d86e3004a4a60d/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..48467dac7a35e170b89523b9c6e4979cf0ea449f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_49d86e3004a4a60d/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,394 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=bin_2.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "bin_2", + "top_k": 13, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.75, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_49d86e3004a4a60d/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_49d86e3004a4a60d/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..eb7d8dc250c239521b7d925e66712d65fac651cf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_49d86e3004a4a60d/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-ffd0-7be2-a685-a17fc0c9c53f"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_49d86e3004a4a60d/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_49d86e3004a4a60d/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..bcfdc2a312ce7cec2b8203001530a2ab2d947250 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_49d86e3004a4a60d/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-ffd0-7be2-a685-a17fc0c9c53f"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_49d86e3004a4a60d/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_49d86e3004a4a60d/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..296a8b30fbd132865a5dd4c5e33a813cd9161b5d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_49d86e3004a4a60d/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-10a9-7b00-9a45-0ea9232cab93"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_49d86e3004a4a60d/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_49d86e3004a4a60d/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..0657fef27944370350af286808f20fc93e7771e4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_49d86e3004a4a60d/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-10a9-7b00-9a45-0ea9232cab93"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_49d86e3004a4a60d/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_49d86e3004a4a60d/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_49d86e3004a4a60d/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_49d86e3004a4a60d/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4a51d102b3f8c4ef/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4a51d102b3f8c4ef/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d1082ba94ffa99f310cabce61f7a7d617c5eb8ed --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4a51d102b3f8c4ef/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12195, "bytes_utf8": 12195, "lines": 394, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 266, "bytes_utf8": 266, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16031, "cached_input_tokens": 12032, "output_tokens": 403, "reasoning_output_tokens": 326}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4a51d102b3f8c4ef/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4a51d102b3f8c4ef/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..7822a2f32423ed923e3f265c3f3f7e6d7a46c2c9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4a51d102b3f8c4ef/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_4a51d102b3f8c4ef", + "api_calls": 0, + "input_tokens": 16031, + "cached_input_tokens": 12032, + "output_tokens": 403, + "total_tokens": 16434, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 18984.68, + "sql_execution_elapsed_ms_total": 314.39, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4a51d102b3f8c4ef/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4a51d102b3f8c4ef/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4a51d102b3f8c4ef/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..bf486dc167a32a6b17daccee098f06ca7fdb613c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4a51d102b3f8c4ef/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": "2026-05-19T15:32:53.960766+00:00", + "ended_at": "2026-05-19T15:33:12.945479+00:00", + "elapsed_ms": 18984.68, + "prompt_metrics": { + "chars": 12195, + "bytes_utf8": 12195, + "lines": 394, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1618, + "bytes_utf8": 1618, + "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": 266, + "bytes_utf8": 266, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16031, + "cached_input_tokens": 12032, + "output_tokens": 403, + "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_b/c15/artifacts/v2q_c15_4a51d102b3f8c4ef/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4a51d102b3f8c4ef/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..87dd786ee10ffeb36262f6b0eaa1c4d874779d7b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4a51d102b3f8c4ef/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,394 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=ord_3.", + "planned_template_id": "tpl_clickbench_group_count", + "bindings": { + "group_col": "ord_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": 9.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4a51d102b3f8c4ef/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4a51d102b3f8c4ef/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ffff55a47492c606cc90f4d90ff99481dc2a5525 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4a51d102b3f8c4ef/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,7 @@ +{"type":"thread.started","thread_id":"019e40de-595c-7ab1-a599-76754152ce70"} +{"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 1985436, Requested 16666. Please try again in 63ms. 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 1992359, Requested 16666. Please try again in 270ms. 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 16666. Please try again in 499ms. 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 \\\"ord_3\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"c15\\\"\\nGROUP BY \\\"ord_3\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Grouped count distribution for the bound category column \\\"ord_3\\\" using the planned template.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16031,"cached_input_tokens":12032,"output_tokens":403,"reasoning_output_tokens":326}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4a51d102b3f8c4ef/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4a51d102b3f8c4ef/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..805451989dd9f59a76a4b980981224b0c5551696 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4a51d102b3f8c4ef/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_clickbench_group_count\nSELECT \"ord_3\", COUNT(*) AS \"row_count\"\nFROM \"c15\"\nGROUP BY \"ord_3\"\nORDER BY \"row_count\" DESC;","notes":"Grouped count distribution for the bound category column \"ord_3\" using the planned template."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4a51d102b3f8c4ef/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4a51d102b3f8c4ef/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4b513e51bc33245f/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4b513e51bc33245f/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9d71ffcd944230851b5918bc5a9c2edafa842d22 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4b513e51bc33245f/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12682, "bytes_utf8": 12682, "lines": 398, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_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": 16172, "cached_input_tokens": 14720, "output_tokens": 1119, "reasoning_output_tokens": 938}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4b513e51bc33245f/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4b513e51bc33245f/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..c8453b417960359823c7753490ae97b450535b0a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4b513e51bc33245f/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_4b513e51bc33245f", + "api_calls": 0, + "input_tokens": 16172, + "cached_input_tokens": 14720, + "output_tokens": 1119, + "total_tokens": 17291, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 23961.25, + "sql_execution_elapsed_ms_total": 700.57, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4b513e51bc33245f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4b513e51bc33245f/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4b513e51bc33245f/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f36e244a90123285f36167b297d6f248971b3a59 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4b513e51bc33245f/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": "2026-05-19T15:42:20.975018+00:00", + "ended_at": "2026-05-19T15:42:44.936299+00:00", + "elapsed_ms": 23961.25, + "prompt_metrics": { + "chars": 12682, + "bytes_utf8": 12682, + "lines": 398, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1018, + "bytes_utf8": 1018, + "lines": 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": 16172, + "cached_input_tokens": 14720, + "output_tokens": 1119, + "reasoning_output_tokens": 938 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4b513e51bc33245f/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4b513e51bc33245f/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..64c2e5c1eda923c1b9fd3eecaf8428a53f044083 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4b513e51bc33245f/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,398 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=day, measure_col=day.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "day", + "measure_col": "day", + "item_col": "nom_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": 5.64, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4b513e51bc33245f/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4b513e51bc33245f/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..9a0addd2fbdb10633189845109a5e009e555857f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4b513e51bc33245f/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e7-0054-7a32-b0a2-6de08b01d20e"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share.\\nSELECT \\\"day\\\", \\\"nom_6\\\",\\n SUM(CAST(NULLIF(\\\"day\\\", '') AS REAL)) AS total_measure,\\n SUM(CAST(NULLIF(\\\"day\\\", '') AS REAL)) * 100.0 / SUM(SUM(CAST(NULLIF(\\\"day\\\", '') AS REAL))) OVER (PARTITION BY \\\"day\\\") AS share_within_group\\nFROM \\\"c15\\\"\\nGROUP BY \\\"day\\\", \\\"nom_6\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Instantiated the required Within-Group Share of Total template with group_col=\\\"day\\\", item_col=\\\"nom_6\\\", and measure_col=\\\"day\\\". CAST(NULLIF(\\\"day\\\", '')) is used so SQLite sums numeric-like TEXT values correctly while ignoring empty strings.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16172,"cached_input_tokens":14720,"output_tokens":1119,"reasoning_output_tokens":938}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4b513e51bc33245f/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4b513e51bc33245f/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..85c09de483b59af58c7e9be40b3cbcc4f83730ff --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4b513e51bc33245f/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share.\nSELECT \"day\", \"nom_6\",\n SUM(CAST(NULLIF(\"day\", '') AS REAL)) AS total_measure,\n SUM(CAST(NULLIF(\"day\", '') AS REAL)) * 100.0 / SUM(SUM(CAST(NULLIF(\"day\", '') AS REAL))) OVER (PARTITION BY \"day\") AS share_within_group\nFROM \"c15\"\nGROUP BY \"day\", \"nom_6\"\nORDER BY share_within_group DESC;","notes":"Instantiated the required Within-Group Share of Total template with group_col=\"day\", item_col=\"nom_6\", and measure_col=\"day\". CAST(NULLIF(\"day\", '')) is used so SQLite sums numeric-like TEXT values correctly while ignoring empty strings."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4b513e51bc33245f/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4b513e51bc33245f/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4d0a098ccca31c13/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4d0a098ccca31c13/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..8fe7fbc6d6f199a4f75aa342114603e6710d1b3f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4d0a098ccca31c13/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": "2026-05-19T16:12:30.664227+00:00", + "ended_at": "2026-05-19T16:12:33.711285+00:00", + "elapsed_ms": 3047.03, + "returncode": 1, + "prompt_metrics": { + "chars": 12361, + "bytes_utf8": 12361, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4d0a098ccca31c13/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4d0a098ccca31c13/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c40f9d03a27945f6d41e3360b419c90b5efef9b6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4d0a098ccca31c13/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": "2026-05-19T16:12:34.713583+00:00", + "ended_at": "2026-05-19T16:12:38.077515+00:00", + "elapsed_ms": 3363.89, + "returncode": 1, + "prompt_metrics": { + "chars": 12361, + "bytes_utf8": 12361, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4d0a098ccca31c13/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4d0a098ccca31c13/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e53fbf5b96c4a6f05bde84b0f468b7cef95c218f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4d0a098ccca31c13/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,396 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=ord_3, measure_col=month.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "ord_3", + "measure_col": "month", + "top_k": 14, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 9.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4d0a098ccca31c13/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4d0a098ccca31c13/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e53fbf5b96c4a6f05bde84b0f468b7cef95c218f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4d0a098ccca31c13/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,396 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=ord_3, measure_col=month.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "ord_3", + "measure_col": "month", + "top_k": 14, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 9.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4d0a098ccca31c13/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4d0a098ccca31c13/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a061885e4a0f719187113cda45ed207ce52dd79f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4d0a098ccca31c13/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-9d49-7bd0-bf6e-a7f56515df00"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4d0a098ccca31c13/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4d0a098ccca31c13/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2e331cbcd8fbee87bc17f9b04eff7be4338221fe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4d0a098ccca31c13/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-9d49-7bd0-bf6e-a7f56515df00"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4d0a098ccca31c13/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4d0a098ccca31c13/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..1f09b08a3330e74dd1caf3062bac5535ca45fb3b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4d0a098ccca31c13/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-ad19-7122-8db1-43fba3028486"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4d0a098ccca31c13/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4d0a098ccca31c13/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..d1206b75a7b6a28d728b813ed18dddc15d5f7e71 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4d0a098ccca31c13/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-ad19-7122-8db1-43fba3028486"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4d0a098ccca31c13/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4d0a098ccca31c13/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4d0a098ccca31c13/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4d0a098ccca31c13/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4d176ce5f61b2800/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4d176ce5f61b2800/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..aeb3b7d71cb78a4d9de67e0b86473e659aa0de7e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4d176ce5f61b2800/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12462, "bytes_utf8": 12462, "lines": 396, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 1179, "bytes_utf8": 1179, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16098, "cached_input_tokens": 12032, "output_tokens": 2361, "reasoning_output_tokens": 1979}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4d176ce5f61b2800/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4d176ce5f61b2800/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..8e86ce138478d305106f5c75043e6f3f6dbe1f4c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4d176ce5f61b2800/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_4d176ce5f61b2800", + "api_calls": 0, + "input_tokens": 16098, + "cached_input_tokens": 12032, + "output_tokens": 2361, + "total_tokens": 18459, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 33681.19, + "sql_execution_elapsed_ms_total": 1352.66, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4d176ce5f61b2800/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4d176ce5f61b2800/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4d176ce5f61b2800/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..0cd75f49f15429bec02f9dc891f8aba9e253d3d5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4d176ce5f61b2800/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": "2026-05-19T16:03:50.753203+00:00", + "ended_at": "2026-05-19T16:04:24.434429+00:00", + "elapsed_ms": 33681.19, + "prompt_metrics": { + "chars": 12462, + "bytes_utf8": 12462, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1691, + "bytes_utf8": 1691, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 1179, + "bytes_utf8": 1179, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16098, + "cached_input_tokens": 12032, + "output_tokens": 2361, + "reasoning_output_tokens": 1979 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4d176ce5f61b2800/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4d176ce5f61b2800/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d8b63024bc12bed4e2d9a8d2c1e7b012b882abc9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4d176ce5f61b2800/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,396 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=bin_3, measure_col=bin_1.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "bin_3", + "measure_col": "bin_1", + "top_k": 18, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.66, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4d176ce5f61b2800/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4d176ce5f61b2800/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a477ec37e0f46a8d98abe164aa0f119b39704a6a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4d176ce5f61b2800/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-ae8a-7580-8630-274de7c568b8"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"filtered\\\" AS (\\n SELECT\\n \\\"bin_3\\\",\\n CAST(\\\"bin_1\\\" AS REAL) AS \\\"measure_value\\\"\\n FROM \\\"c15\\\"\\n WHERE \\\"bin_3\\\" IS NOT NULL\\n AND \\\"bin_3\\\" <> ''\\n AND \\\"bin_1\\\" IS NOT NULL\\n AND \\\"bin_1\\\" <> ''\\n),\\n\\\"ranked\\\" AS (\\n SELECT\\n \\\"bin_3\\\",\\n \\\"measure_value\\\",\\n COUNT(*) OVER (PARTITION BY \\\"bin_3\\\") AS \\\"group_size\\\",\\n CUME_DIST() OVER (PARTITION BY \\\"bin_3\\\" ORDER BY \\\"measure_value\\\") AS \\\"cdf\\\"\\n FROM \\\"filtered\\\"\\n),\\n\\\"picked\\\" AS (\\n SELECT\\n \\\"bin_3\\\",\\n \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"bin_3\\\"\\n ORDER BY \\\"cdf\\\", \\\"measure_value\\\"\\n ) AS \\\"pick_order\\\"\\n FROM \\\"ranked\\\"\\n WHERE \\\"group_size\\\" >= 5\\n AND \\\"cdf\\\" >= 0.95\\n)\\nSELECT\\n \\\"bin_3\\\",\\n \\\"measure_value\\\" AS \\\"percentile_measure\\\"\\nFROM \\\"picked\\\"\\nWHERE \\\"pick_order\\\" = 1\\nORDER BY \\\"percentile_measure\\\" DESC, \\\"bin_3\\\";\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this uses CUME_DIST() to return the nearest-rank 95th percentile of non-empty numeric-cast \\\"bin_1\\\" within each \\\"bin_3\\\" group, filtered to groups with at least 5 rows.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16098,"cached_input_tokens":12032,"output_tokens":2361,"reasoning_output_tokens":1979}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4d176ce5f61b2800/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4d176ce5f61b2800/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f624df35e3243291c29f03afc12a8fd2452b488d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4d176ce5f61b2800/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"filtered\" AS (\n SELECT\n \"bin_3\",\n CAST(\"bin_1\" AS REAL) AS \"measure_value\"\n FROM \"c15\"\n WHERE \"bin_3\" IS NOT NULL\n AND \"bin_3\" <> ''\n AND \"bin_1\" IS NOT NULL\n AND \"bin_1\" <> ''\n),\n\"ranked\" AS (\n SELECT\n \"bin_3\",\n \"measure_value\",\n COUNT(*) OVER (PARTITION BY \"bin_3\") AS \"group_size\",\n CUME_DIST() OVER (PARTITION BY \"bin_3\" ORDER BY \"measure_value\") AS \"cdf\"\n FROM \"filtered\"\n),\n\"picked\" AS (\n SELECT\n \"bin_3\",\n \"measure_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"bin_3\"\n ORDER BY \"cdf\", \"measure_value\"\n ) AS \"pick_order\"\n FROM \"ranked\"\n WHERE \"group_size\" >= 5\n AND \"cdf\" >= 0.95\n)\nSELECT\n \"bin_3\",\n \"measure_value\" AS \"percentile_measure\"\nFROM \"picked\"\nWHERE \"pick_order\" = 1\nORDER BY \"percentile_measure\" DESC, \"bin_3\";","notes":"SQLite does not support PERCENTILE_CONT, so this uses CUME_DIST() to return the nearest-rank 95th percentile of non-empty numeric-cast \"bin_1\" within each \"bin_3\" group, filtered to groups with at least 5 rows."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4d176ce5f61b2800/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4d176ce5f61b2800/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4f1e4293e4305212/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4f1e4293e4305212/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4b26f56d7d843817998b5d463a1c8156d1eb135e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4f1e4293e4305212/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": "2026-05-19T16:08:44.530539+00:00", + "ended_at": "2026-05-19T16:08:47.752859+00:00", + "elapsed_ms": 3222.29, + "returncode": 1, + "prompt_metrics": { + "chars": 12276, + "bytes_utf8": 12276, + "lines": 394, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4f1e4293e4305212/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4f1e4293e4305212/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ef0dcc3cc9431b307e72a87271d5214e6930c35e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4f1e4293e4305212/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": "2026-05-19T16:08:48.754808+00:00", + "ended_at": "2026-05-19T16:08:51.506921+00:00", + "elapsed_ms": 2752.06, + "returncode": 1, + "prompt_metrics": { + "chars": 12276, + "bytes_utf8": 12276, + "lines": 394, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4f1e4293e4305212/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4f1e4293e4305212/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4ac65d3a7f6727c11f854e006a7d55c8ed099132 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4f1e4293e4305212/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,394 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=ord_2.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "ord_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": 0.75, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4f1e4293e4305212/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4f1e4293e4305212/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..4ac65d3a7f6727c11f854e006a7d55c8ed099132 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4f1e4293e4305212/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,394 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=ord_2.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "ord_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": 0.75, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4f1e4293e4305212/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4f1e4293e4305212/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..601c9bc3d3c9d2ee07bec9be5be4aabf668d1e09 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4f1e4293e4305212/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-29ef-7cd1-8b32-569f31054b3a"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4f1e4293e4305212/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4f1e4293e4305212/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c1a02d1d2de4ce0cfa3e9fb5685e99e29e540c07 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4f1e4293e4305212/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-29ef-7cd1-8b32-569f31054b3a"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4f1e4293e4305212/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4f1e4293e4305212/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..43d61fd0891fcf225f9833d9cbb13715e34888a7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4f1e4293e4305212/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-3a81-7f32-b599-133252bfd272"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4f1e4293e4305212/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4f1e4293e4305212/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..7e471dc0b1f35e77d2b1d02e01cc78416d2ad7a3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4f1e4293e4305212/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-3a81-7f32-b599-133252bfd272"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4f1e4293e4305212/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4f1e4293e4305212/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4f1e4293e4305212/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4f1e4293e4305212/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5248fbf8f720d4c8/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5248fbf8f720d4c8/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..46a725e8cb4d27bcad1c81f0c54243d00be0f7cf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5248fbf8f720d4c8/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"total_rows": 600000, "missing_rows": 0, "missing_rate": 0.0}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5248fbf8f720d4c8/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5248fbf8f720d4c8/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..a1707b0e46ef130bd5b17558ec776b068d2cc6bb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5248fbf8f720d4c8/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c15 +-- family_id: missingness_structure +-- canonical_subitem_id: marginal_missing_rate_consistency +-- intended_facet_id: missing_indicator_distribution +-- variant_semantic_role: missing_indicator_view +-- template_id: tpl_missing_marginal_rate_profile +-- query_record_id: v2q_c15_5248fbf8f720d4c8 +-- problem_id: v2p_c15_e0cc439db59f96bc +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + COUNT(*) AS total_rows, + SUM(CASE WHEN "nom_6" IS NULL THEN 1 ELSE 0 END) AS missing_rows, + AVG(CASE WHEN "nom_6" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate +FROM "c15"; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5248fbf8f720d4c8/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5248fbf8f720d4c8/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..fdb4334e15a11eab22066ef2bb591a5fe83b51f7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5248fbf8f720d4c8/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_b\n-- sql_source_dataset_id: c15\n-- family_id: missingness_structure\n-- canonical_subitem_id: marginal_missing_rate_consistency\n-- intended_facet_id: missing_indicator_distribution\n-- variant_semantic_role: missing_indicator_view\n-- template_id: tpl_missing_marginal_rate_profile\n-- query_record_id: v2q_c15_5248fbf8f720d4c8\n-- problem_id: v2p_c15_e0cc439db59f96bc\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n COUNT(*) AS total_rows,\n SUM(CASE WHEN \"nom_6\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN \"nom_6\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM \"c15\";", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_b\\n-- sql_source_dataset_id: c15\\n-- family_id: missingness_structure\\n-- canonical_subitem_id: marginal_missing_rate_consistency\\n-- intended_facet_id: missing_indicator_distribution\\n-- variant_semantic_role: missing_indicator_view\\n-- template_id: tpl_missing_marginal_rate_profile\\n-- query_record_id: v2q_c15_5248fbf8f720d4c8\\n-- problem_id: v2p_c15_e0cc439db59f96bc\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n COUNT(*) AS total_rows,\\n SUM(CASE WHEN \\\"nom_6\\\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\\n AVG(CASE WHEN \\\"nom_6\\\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\\nFROM \\\"c15\\\";\", \"columns\": [\"total_rows\", \"missing_rows\", \"missing_rate\"], \"rows\": [{\"total_rows\": 600000, \"missing_rows\": 0, \"missing_rate\": 0.0}], \"row_count_returned\": 1, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 95.73}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5248fbf8f720d4c8/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5248fbf8f720d4c8/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..54e5c8bc951cacb9c59f8eb719d6878cbf446a26 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5248fbf8f720d4c8/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c15", + "started_at": "2026-05-19T16:13:00.931127+00:00", + "ended_at": "2026-05-19T16:13:01.027720+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c15_5248fbf8f720d4c8", + "problem_id": "v2p_c15_e0cc439db59f96bc", + "dataset_id": "c15", + "template_id": "tpl_missing_marginal_rate_profile", + "template_name": "Marginal Missing Rate Profile", + "family_id": "missingness_structure", + "canonical_subitem_id": "marginal_missing_rate_consistency", + "intended_facet_id": "missing_indicator_distribution", + "variant_semantic_role": "missing_indicator_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": false, + "question": "Use template Marginal Missing Rate Profile to probe marginal_missing_rate_consistency with semantic role missing_indicator_view. Focus on missing_col=nom_6.", + "bindings": { + "missing_col": "nom_6" + }, + "binding_roles": [ + "missing_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n COUNT(*) AS total_rows,\n SUM(CASE WHEN {missing_col} IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN {missing_col} IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM {table};", + "notes": [ + "default_facets=missing_indicator_distribution", + "template_selection_mode=deterministic", + "problem_index_within_template=7", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/sql/v2q_c15_5248fbf8f720d4c8.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5248fbf8f720d4c8/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5248fbf8f720d4c8/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5248fbf8f720d4c8/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_52c3c2d5ab14ac90/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_52c3c2d5ab14ac90/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..19bbb29a79ac5f80632a65cb5da117b231e77886 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_52c3c2d5ab14ac90/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": "2026-05-19T16:10:43.527427+00:00", + "ended_at": "2026-05-19T16:10:47.027194+00:00", + "elapsed_ms": 3499.74, + "returncode": 1, + "prompt_metrics": { + "chars": 12366, + "bytes_utf8": 12366, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_52c3c2d5ab14ac90/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_52c3c2d5ab14ac90/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..323c6233136bbf274cfa52046c2bbf68c9ace418 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_52c3c2d5ab14ac90/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": "2026-05-19T16:10:48.028915+00:00", + "ended_at": "2026-05-19T16:10:52.068703+00:00", + "elapsed_ms": 4039.76, + "returncode": 1, + "prompt_metrics": { + "chars": 12366, + "bytes_utf8": 12366, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_52c3c2d5ab14ac90/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_52c3c2d5ab14ac90/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f3c4c9d643c530463e4cce577a26a1df1370f69b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_52c3c2d5ab14ac90/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,396 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=nom_1, measure_col=month.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "nom_1", + "measure_col": "month", + "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": 9.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_52c3c2d5ab14ac90/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_52c3c2d5ab14ac90/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..f3c4c9d643c530463e4cce577a26a1df1370f69b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_52c3c2d5ab14ac90/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,396 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=nom_1, measure_col=month.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "nom_1", + "measure_col": "month", + "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": 9.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_52c3c2d5ab14ac90/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_52c3c2d5ab14ac90/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5b72bea8a4dcaa0fb2b1c6a05eda81e9fec6f224 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_52c3c2d5ab14ac90/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-fad5-7023-8497-70962b80b554"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_52c3c2d5ab14ac90/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_52c3c2d5ab14ac90/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9c2ce4ce287d2934dc42e85031d8165488f71a57 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_52c3c2d5ab14ac90/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-fad5-7023-8497-70962b80b554"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_52c3c2d5ab14ac90/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_52c3c2d5ab14ac90/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6c8bf2041c9f55031cf18e81bc6116497920ccbf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_52c3c2d5ab14ac90/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-0c60-7df2-aec5-74766d4a9e81"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_52c3c2d5ab14ac90/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_52c3c2d5ab14ac90/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..0678e221fcb8a67420dcea4475c0e79f0cc57221 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_52c3c2d5ab14ac90/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-0c60-7df2-aec5-74766d4a9e81"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_52c3c2d5ab14ac90/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_52c3c2d5ab14ac90/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_52c3c2d5ab14ac90/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_52c3c2d5ab14ac90/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5ad609809061f461/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5ad609809061f461/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1829b470b6459c258824cdf4445f5c40900b78b0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5ad609809061f461/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12201, "bytes_utf8": 12201, "lines": 394, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 323, "bytes_utf8": 323, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16032, "cached_input_tokens": 12032, "output_tokens": 312, "reasoning_output_tokens": 224}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5ad609809061f461/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5ad609809061f461/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a1fe0a4dfac4c8dec115eb02a396f0185497d529 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5ad609809061f461/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_5ad609809061f461", + "api_calls": 0, + "input_tokens": 16032, + "cached_input_tokens": 12032, + "output_tokens": 312, + "total_tokens": 16344, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11502.2, + "sql_execution_elapsed_ms_total": 311.0, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5ad609809061f461/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5ad609809061f461/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5ad609809061f461/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..780ac211df68460fadfc9019f05f672aa3c55527 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5ad609809061f461/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": "2026-05-19T15:33:13.297477+00:00", + "ended_at": "2026-05-19T15:33:24.799720+00:00", + "elapsed_ms": 11502.2, + "prompt_metrics": { + "chars": 12201, + "bytes_utf8": 12201, + "lines": 394, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 677, + "bytes_utf8": 677, + "lines": 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": 16032, + "cached_input_tokens": 12032, + "output_tokens": 312, + "reasoning_output_tokens": 224 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5ad609809061f461/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5ad609809061f461/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2fde528508939659a76f29e26333048ff5a8607f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5ad609809061f461/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,394 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=ord_4.", + "planned_template_id": "tpl_clickbench_group_count", + "bindings": { + "group_col": "ord_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": 509036.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5ad609809061f461/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5ad609809061f461/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..283421b74ae08ec4fa21ea408019219ca87c553d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5ad609809061f461/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40de-a4d6-7f40-8aec-35422137e6b4"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"ord_4\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"c15\\\"\\nGROUP BY \\\"ord_4\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Grouped count distribution for \\\"ord_4\\\" using the planned template. This includes any empty-string values present in the column as their own subgroup.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16032,"cached_input_tokens":12032,"output_tokens":312,"reasoning_output_tokens":224}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5ad609809061f461/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5ad609809061f461/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c4849c5729856bcdc7144e2b08824f3756b8d525 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5ad609809061f461/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_clickbench_group_count\nSELECT \"ord_4\", COUNT(*) AS \"row_count\"\nFROM \"c15\"\nGROUP BY \"ord_4\"\nORDER BY \"row_count\" DESC;","notes":"Grouped count distribution for \"ord_4\" using the planned template. This includes any empty-string values present in the column as their own subgroup."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5ad609809061f461/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5ad609809061f461/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5b53cf0185834518/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5b53cf0185834518/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..a00937d105923df286664e73d86ff36fe4e25a96 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5b53cf0185834518/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=nom_2, measure_col=id. +Result preview: [{"nom_2": "Hamster", "total_measure": 49527610023}, {"nom_2": "Axolotl", "total_measure": 45740427388}, {"nom_2": "Lion", "total_measure": 35836327060}, {"nom_2": "Dog", "total_measure": 31357180329}, {"nom_2": "Cat", "total_measure": 7895840156}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5b53cf0185834518/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5b53cf0185834518/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..802711fb8bc880478b6ffb39b970ae85744f3d14 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5b53cf0185834518/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c15 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_conditional_contrast +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_c15_5b53cf0185834518 +-- problem_id: v2p_c15_94783a9d1abcc90c +-- realization_mode: agent +-- source_kind: agent +SELECT "nom_2", SUM(CAST(NULLIF("id", '') AS INTEGER)) AS "total_measure" +FROM "c15" +GROUP BY "nom_2" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5b53cf0185834518/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5b53cf0185834518/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..baba388d0c19f2fe6c1b5e6b6b3112e54670e0b3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5b53cf0185834518/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_h2o_group_sum\nSELECT \"nom_2\", SUM(CAST(NULLIF(\"id\", '') AS INTEGER)) AS \"total_measure\"\nFROM \"c15\"\nGROUP BY \"nom_2\"\nORDER BY \"total_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"nom_2\\\", SUM(CAST(NULLIF(\\\"id\\\", '') AS INTEGER)) AS \\\"total_measure\\\"\\nFROM \\\"c15\\\"\\nGROUP BY \\\"nom_2\\\"\\nORDER BY \\\"total_measure\\\" DESC;\", \"columns\": [\"nom_2\", \"total_measure\"], \"rows\": [{\"nom_2\": \"Hamster\", \"total_measure\": 49527610023}, {\"nom_2\": \"Axolotl\", \"total_measure\": 45740427388}, {\"nom_2\": \"Lion\", \"total_measure\": 35836327060}, {\"nom_2\": \"Dog\", \"total_measure\": 31357180329}, {\"nom_2\": \"Cat\", \"total_measure\": 7895840156}, {\"nom_2\": \"\", \"total_measure\": 5404942266}, {\"nom_2\": \"Snake\", \"total_measure\": 4237372778}], \"row_count_returned\": 7, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 344.3}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5b53cf0185834518/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5b53cf0185834518/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..2e49880dc8aa56690d8baffc2e1ee735a8a17930 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5b53cf0185834518/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c15", + "started_at": "2026-05-19T15:31:43.552006+00:00", + "ended_at": "2026-05-19T15:32:01.454046+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c15_5b53cf0185834518", + "problem_id": "v2p_c15_94783a9d1abcc90c", + "dataset_id": "c15", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_conditional_contrast", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=nom_2, measure_col=id.", + "bindings": { + "group_col": "nom_2", + "measure_col": "id", + "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": 502184.84, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=8", + "sql_variant_index=2/2", + "binding_index=7" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 8, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/sql/v2q_c15_5b53cf0185834518.sql", + "usage_summary": { + "dataset_id": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_5b53cf0185834518", + "api_calls": 0, + "input_tokens": 16056, + "cached_input_tokens": 12032, + "output_tokens": 634, + "total_tokens": 16690, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 17525.0, + "sql_execution_elapsed_ms_total": 344.3, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5b53cf0185834518/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5b53cf0185834518/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5b53cf0185834518/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..bda04f439ce90b1e26d5377b85f643ae645aa07d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5b53cf0185834518/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:32:01.107725+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 17525.0, "started_at": "2026-05-19T15:31:43.581875+00:00", "ended_at": "2026-05-19T15:32:01.106906+00:00", "prompt_metrics": {"chars": 12282, "bytes_utf8": 12282, "lines": 396, "estimated_tokens": null}, "response_metrics": {"chars": 412, "bytes_utf8": 412, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16056, "cached_input_tokens": 12032, "output_tokens": 634, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"nom_2\\\", SUM(CAST(NULLIF(\\\"id\\\", '') AS INTEGER)) AS \\\"total_measure\\\"\\nFROM \\\"c15\\\"\\nGROUP BY \\\"nom_2\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Used the required grouped-sum template with group_col=\\\"nom_2\\\" and measure_col=\\\"id\\\". Since \\\"id\\\" is stored as TEXT in SQLite, it is cast to INTEGER and empty strings are treated as NULL during aggregation.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5b53cf0185834518/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5b53cf0185834518/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5c1d3663ac48df07b3aad21af1adee172518468f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5b53cf0185834518/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_5b53cf0185834518", + "api_calls": 0, + "input_tokens": 16056, + "cached_input_tokens": 12032, + "output_tokens": 634, + "total_tokens": 16690, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 17525.0, + "sql_execution_elapsed_ms_total": 344.3, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5b53cf0185834518/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5d5742f0f7b7451a/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5d5742f0f7b7451a/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..c22991a947035e50adcf17ec702bb67e33a04f98 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5d5742f0f7b7451a/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=ord_2. +Result preview: [{"ord_2": "Freezing", "row_count": 142726}, {"ord_2": "Warm", "row_count": 124239}, {"ord_2": "Cold", "row_count": 97822}, {"ord_2": "Boiling Hot", "row_count": 84790}, {"ord_2": "Hot", "row_count": 67508}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5d5742f0f7b7451a/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5d5742f0f7b7451a/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..a83d51cb02bcb675126827ea7cc7c8bd84155f6e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5d5742f0f7b7451a/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c15 +-- family_id: subgroup_structure +-- canonical_subitem_id: subgroup_size_stability +-- intended_facet_id: subgroup_distribution_shift +-- variant_semantic_role: count_distribution +-- template_id: tpl_clickbench_group_count +-- query_record_id: v2q_c15_5d5742f0f7b7451a +-- problem_id: v2p_c15_7d58aa83e839bd07 +-- realization_mode: agent +-- source_kind: agent +SELECT "ord_2", COUNT(*) AS row_count +FROM "c15" +GROUP BY "ord_2" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5d5742f0f7b7451a/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5d5742f0f7b7451a/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..70efeeb432f2cf09d0e8e7de90ee54cec3d17acb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5d5742f0f7b7451a/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_clickbench_group_count\nSELECT \"ord_2\", COUNT(*) AS row_count\nFROM \"c15\"\nGROUP BY \"ord_2\"\nORDER BY row_count DESC;", "result": "{\"query\": \"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"ord_2\\\", COUNT(*) AS row_count\\nFROM \\\"c15\\\"\\nGROUP BY \\\"ord_2\\\"\\nORDER BY row_count DESC;\", \"columns\": [\"ord_2\", \"row_count\"], \"rows\": [{\"ord_2\": \"Freezing\", \"row_count\": 142726}, {\"ord_2\": \"Warm\", \"row_count\": 124239}, {\"ord_2\": \"Cold\", \"row_count\": 97822}, {\"ord_2\": \"Boiling Hot\", \"row_count\": 84790}, {\"ord_2\": \"Hot\", \"row_count\": 67508}, {\"ord_2\": \"Lava Hot\", \"row_count\": 64840}, {\"ord_2\": \"\", \"row_count\": 18075}], \"row_count_returned\": 7, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 371.04}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5d5742f0f7b7451a/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5d5742f0f7b7451a/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..5187315b318d8741deae04fda4eb68878a172921 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5d5742f0f7b7451a/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c15", + "started_at": "2026-05-19T15:32:40.893484+00:00", + "ended_at": "2026-05-19T15:32:53.930118+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c15_5d5742f0f7b7451a", + "problem_id": "v2p_c15_7d58aa83e839bd07", + "dataset_id": "c15", + "template_id": "tpl_clickbench_group_count", + "template_name": "Grouped Count by Category", + "family_id": "subgroup_structure", + "canonical_subitem_id": "subgroup_size_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=ord_2.", + "bindings": { + "group_col": "ord_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": 6.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=1/1", + "binding_index=12" + ], + "template_selection_mode": "rule", + "selected_template_rank": 2, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/sql/v2q_c15_5d5742f0f7b7451a.sql", + "usage_summary": { + "dataset_id": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_5d5742f0f7b7451a", + "api_calls": 0, + "input_tokens": 16031, + "cached_input_tokens": 12032, + "output_tokens": 347, + "total_tokens": 16378, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12628.95, + "sql_execution_elapsed_ms_total": 371.04, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5d5742f0f7b7451a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5d5742f0f7b7451a/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5d5742f0f7b7451a/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d99bb1007f60165b16db730c3b91cd1d60965463 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5d5742f0f7b7451a/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:32:53.557086+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 12628.95, "started_at": "2026-05-19T15:32:40.926697+00:00", "ended_at": "2026-05-19T15:32:53.555681+00:00", "prompt_metrics": {"chars": 12196, "bytes_utf8": 12196, "lines": 394, "estimated_tokens": null}, "response_metrics": {"chars": 391, "bytes_utf8": 391, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16031, "cached_input_tokens": 12032, "output_tokens": 347, "reasoning_output_tokens": 245}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"ord_2\\\", COUNT(*) AS row_count\\nFROM \\\"c15\\\"\\nGROUP BY \\\"ord_2\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Applied the provided grouped-count template with group_col bound to \\\"ord_2\\\" on the single table \\\"c15\\\". No filters were added so all rows contribute to the count distribution, including empty-string categories and any NULLs.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5d5742f0f7b7451a/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5d5742f0f7b7451a/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a95bdc0d97fe8cb422bc01c79cddbea7f93ccf47 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5d5742f0f7b7451a/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_5d5742f0f7b7451a", + "api_calls": 0, + "input_tokens": 16031, + "cached_input_tokens": 12032, + "output_tokens": 347, + "total_tokens": 16378, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12628.95, + "sql_execution_elapsed_ms_total": 371.04, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5d5742f0f7b7451a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5e5e72945e444d11/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5e5e72945e444d11/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5b53dab72ef85479b6dec7a829db10befe575421 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5e5e72945e444d11/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12587, "bytes_utf8": 12587, "lines": 400, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 449, "bytes_utf8": 449, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16154, "cached_input_tokens": 14720, "output_tokens": 317, "reasoning_output_tokens": 182}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5e5e72945e444d11/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5e5e72945e444d11/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..fc03ddfbd35c3394cb7c02f8f037886afb0847bd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5e5e72945e444d11/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_5e5e72945e444d11", + "api_calls": 0, + "input_tokens": 16154, + "cached_input_tokens": 14720, + "output_tokens": 317, + "total_tokens": 16471, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11285.36, + "sql_execution_elapsed_ms_total": 208.56, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5e5e72945e444d11/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5e5e72945e444d11/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5e5e72945e444d11/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..9949e556138bf2359013d82d491cf246f095308b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5e5e72945e444d11/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": "2026-05-19T15:46:11.918214+00:00", + "ended_at": "2026-05-19T15:46:23.203617+00:00", + "elapsed_ms": 11285.36, + "prompt_metrics": { + "chars": 12587, + "bytes_utf8": 12587, + "lines": 400, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 820, + "bytes_utf8": 820, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 449, + "bytes_utf8": 449, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16154, + "cached_input_tokens": 14720, + "output_tokens": 317, + "reasoning_output_tokens": 182 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5e5e72945e444d11/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5e5e72945e444d11/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..43bae97a3f5685192d36c71a2fbdecd698d3e05c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5e5e72945e444d11/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,400 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=bin_3, group_col_2=bin_4.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "bin_3", + "group_col_2": "bin_4", + "predicate_col": "month", + "predicate_op": ">=", + "predicate_value": 9.0, + "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": 9.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5e5e72945e444d11/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5e5e72945e444d11/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e4b37d7d14c0653f2cccb51ff95a8082b2548ca1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5e5e72945e444d11/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ea-8665-7b33-b4bb-a827fa02bf4a"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"bin_3\\\", \\\"bin_4\\\", COUNT(*) AS row_count\\nFROM \\\"c15\\\"\\nWHERE CAST(\\\"month\\\" AS REAL) >= 9.0\\nGROUP BY \\\"bin_3\\\", \\\"bin_4\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Used the planned template with group_col=\\\"bin_3\\\", group_col_2=\\\"bin_4\\\", and predicate on \\\"month\\\". CAST(\\\"month\\\" AS REAL) is applied because the schema stores month as TEXT while the bound predicate value is numeric.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16154,"cached_input_tokens":14720,"output_tokens":317,"reasoning_output_tokens":182}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5e5e72945e444d11/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5e5e72945e444d11/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b6182a3e854af88af0c482d2970ed53cfa278a16 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5e5e72945e444d11/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"bin_3\", \"bin_4\", COUNT(*) AS row_count\nFROM \"c15\"\nWHERE CAST(\"month\" AS REAL) >= 9.0\nGROUP BY \"bin_3\", \"bin_4\"\nORDER BY row_count DESC;","notes":"Used the planned template with group_col=\"bin_3\", group_col_2=\"bin_4\", and predicate on \"month\". CAST(\"month\" AS REAL) is applied because the schema stores month as TEXT while the bound predicate value is numeric."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5e5e72945e444d11/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5e5e72945e444d11/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_61b483678ea81d76/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_61b483678ea81d76/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..9f84fe73fda2432ac4e9065952d0b8e82a989a59 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_61b483678ea81d76/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": "2026-05-19T16:06:28.572186+00:00", + "ended_at": "2026-05-19T16:06:31.658402+00:00", + "elapsed_ms": 3086.19, + "returncode": 1, + "prompt_metrics": { + "chars": 12550, + "bytes_utf8": 12550, + "lines": 399, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_61b483678ea81d76/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_61b483678ea81d76/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b621672333fc8f6572f42df9c8f8accd48f43aa9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_61b483678ea81d76/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": "2026-05-19T16:06:32.660794+00:00", + "ended_at": "2026-05-19T16:06:35.905753+00:00", + "elapsed_ms": 3244.91, + "returncode": 1, + "prompt_metrics": { + "chars": 12550, + "bytes_utf8": 12550, + "lines": 399, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_61b483678ea81d76/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_61b483678ea81d76/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8d88324804f88115bb63f9ded7e8ccb4b2b7a3ce --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_61b483678ea81d76/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,399 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=ord_2, condition_col=ord_2.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "ord_2", + "condition_col": "ord_2", + "condition_value": "Boiling Hot", + "positive_value": "Cold", + "negative_value": "Boiling Hot", + "top_k": 17, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2.5, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_61b483678ea81d76/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_61b483678ea81d76/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..8d88324804f88115bb63f9ded7e8ccb4b2b7a3ce --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_61b483678ea81d76/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,399 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=ord_2, condition_col=ord_2.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "ord_2", + "condition_col": "ord_2", + "condition_value": "Boiling Hot", + "positive_value": "Cold", + "negative_value": "Boiling Hot", + "top_k": 17, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2.5, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_61b483678ea81d76/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_61b483678ea81d76/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..957bb95d97ca60922901d51e0b05d766105e76ad --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_61b483678ea81d76/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-16e5-7733-850a-a0f4da102b61"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_61b483678ea81d76/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_61b483678ea81d76/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a6b2176574b902b8ed956a4d663448dc9acf4790 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_61b483678ea81d76/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-16e5-7733-850a-a0f4da102b61"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_61b483678ea81d76/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_61b483678ea81d76/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6deb969a570310d3e5d491f6696199c347bd1bcc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_61b483678ea81d76/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-26fb-7ff1-96d7-706f07550428"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_61b483678ea81d76/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_61b483678ea81d76/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..ef828a8e9323a911f28b00bd507a0fa7683be72d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_61b483678ea81d76/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-26fb-7ff1-96d7-706f07550428"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_61b483678ea81d76/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_61b483678ea81d76/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_61b483678ea81d76/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_61b483678ea81d76/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6274926875848682/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6274926875848682/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..bfff3eeba053b24270c3710552dc275141af4ba9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6274926875848682/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": "2026-05-19T16:09:50.741827+00:00", + "ended_at": "2026-05-19T16:09:53.728579+00:00", + "elapsed_ms": 2986.72, + "returncode": 1, + "prompt_metrics": { + "chars": 12277, + "bytes_utf8": 12277, + "lines": 394, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6274926875848682/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6274926875848682/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4abbe4a7ddf2a5cf0671cf7ba359763b94b81023 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6274926875848682/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": "2026-05-19T16:09:54.731407+00:00", + "ended_at": "2026-05-19T16:09:57.969620+00:00", + "elapsed_ms": 3238.16, + "returncode": 1, + "prompt_metrics": { + "chars": 12277, + "bytes_utf8": 12277, + "lines": 394, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6274926875848682/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6274926875848682/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..18b5f7bb1501528f1a60bcb2ac5a41a246f8e678 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6274926875848682/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,394 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role count_distribution. Focus on group_col=month.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "month", + "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": 6.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6274926875848682/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6274926875848682/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..18b5f7bb1501528f1a60bcb2ac5a41a246f8e678 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6274926875848682/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,394 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role count_distribution. Focus on group_col=month.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "month", + "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": 6.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6274926875848682/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6274926875848682/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..abad07218c088cb1cc9cba3609a97f403634369b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6274926875848682/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-2ca2-7ee0-bcb1-4b8be5b38424"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6274926875848682/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6274926875848682/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e43aed45b4beb16a6632b2df158ce37b0503fa3d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6274926875848682/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-2ca2-7ee0-bcb1-4b8be5b38424"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6274926875848682/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6274926875848682/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..0fad0b692ec5165f83017f74c8022f898ebad6ec --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6274926875848682/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-3c29-7823-8b6b-ebb069c127ea"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6274926875848682/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6274926875848682/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..57854a6340f7098c517b9559a4585b5285481a00 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6274926875848682/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-3c29-7823-8b6b-ebb069c127ea"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6274926875848682/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6274926875848682/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6274926875848682/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6274926875848682/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_642b243f70374271/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_642b243f70374271/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..236d01e360a5aa1fa081ae58490e5a6e1f724938 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_642b243f70374271/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": "2026-05-19T16:09:21.314010+00:00", + "ended_at": "2026-05-19T16:09:24.430604+00:00", + "elapsed_ms": 3116.56, + "returncode": 1, + "prompt_metrics": { + "chars": 12278, + "bytes_utf8": 12278, + "lines": 394, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_642b243f70374271/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_642b243f70374271/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..40922cdb1e89f2b3e3115b747ac17456af132eeb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_642b243f70374271/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": "2026-05-19T16:09:25.433308+00:00", + "ended_at": "2026-05-19T16:09:28.442930+00:00", + "elapsed_ms": 3009.57, + "returncode": 1, + "prompt_metrics": { + "chars": 12278, + "bytes_utf8": 12278, + "lines": 394, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_642b243f70374271/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_642b243f70374271/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..304aa8e108cf76550a8822f09186596dc3f4ae08 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_642b243f70374271/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,394 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role count_distribution. Focus on group_col=ord_4.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "ord_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": 0.75, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_642b243f70374271/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_642b243f70374271/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..304aa8e108cf76550a8822f09186596dc3f4ae08 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_642b243f70374271/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,394 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role count_distribution. Focus on group_col=ord_4.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "ord_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": 0.75, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_642b243f70374271/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_642b243f70374271/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..40be4393703a5df38356336731ef951e1a195188 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_642b243f70374271/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-b9b6-7fe3-be7c-02b86affba02"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_642b243f70374271/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_642b243f70374271/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ece8ac6e88e22a168c8ccf0d32910456caba36a5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_642b243f70374271/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-b9b6-7fe3-be7c-02b86affba02"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_642b243f70374271/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_642b243f70374271/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ebaae8486a93e16c46b87077bff7980e53ff1d4d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_642b243f70374271/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-c9bc-7190-a4bf-955951a527c8"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_642b243f70374271/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_642b243f70374271/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..223e275786a87c53740ea409c812690654cd6cd1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_642b243f70374271/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-c9bc-7190-a4bf-955951a527c8"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_642b243f70374271/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_642b243f70374271/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_642b243f70374271/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_642b243f70374271/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6577f934653cbb43/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6577f934653cbb43/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..896c7a4bf2f89566174d0b9bcf4d142ba1513976 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6577f934653cbb43/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12198, "bytes_utf8": 12198, "lines": 394, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 244, "bytes_utf8": 244, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16027, "cached_input_tokens": 12032, "output_tokens": 266, "reasoning_output_tokens": 199}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6577f934653cbb43/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6577f934653cbb43/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..3d69aed37803599b44a97101506b159375977c8b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6577f934653cbb43/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_6577f934653cbb43", + "api_calls": 0, + "input_tokens": 16027, + "cached_input_tokens": 12032, + "output_tokens": 266, + "total_tokens": 16293, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 23527.29, + "sql_execution_elapsed_ms_total": 216.76, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6577f934653cbb43/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6577f934653cbb43/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6577f934653cbb43/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4f64bf5197a15b4444a9e07a65781ec27625b9d6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6577f934653cbb43/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": "2026-05-19T15:33:49.658479+00:00", + "ended_at": "2026-05-19T15:34:13.185798+00:00", + "elapsed_ms": 23527.29, + "prompt_metrics": { + "chars": 12198, + "bytes_utf8": 12198, + "lines": 394, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1925, + "bytes_utf8": 1925, + "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": 244, + "bytes_utf8": 244, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16027, + "cached_input_tokens": 12032, + "output_tokens": 266, + "reasoning_output_tokens": 199 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6577f934653cbb43/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6577f934653cbb43/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e6970efc9cc78cd85959387eb6736283d507a355 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6577f934653cbb43/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,394 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=target.", + "planned_template_id": "tpl_clickbench_group_count", + "bindings": { + "group_col": "target", + "top_k": 12, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.75, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6577f934653cbb43/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6577f934653cbb43/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..1492815dbdb6fbc91826c38f9ce55bb46423b0f3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6577f934653cbb43/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,8 @@ +{"type":"thread.started","thread_id":"019e40df-32f5-78b0-b409-258b0299ee1f"} +{"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 1988890, Requested 16662. Please try again in 166ms. 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 1983683, Requested 16662. Please try again in 10ms. 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 1993386, Requested 16662. Please try again in 301ms. 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 1987569, Requested 16662. Please try again in 126ms. 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 \\\"target\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"c15\\\"\\nGROUP BY \\\"target\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Counts rows per target value using the planned grouped-count template.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16027,"cached_input_tokens":12032,"output_tokens":266,"reasoning_output_tokens":199}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6577f934653cbb43/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6577f934653cbb43/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..683ec86e284a2f1c6576aca0c241aa834fd26922 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6577f934653cbb43/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_clickbench_group_count\nSELECT \"target\", COUNT(*) AS \"row_count\"\nFROM \"c15\"\nGROUP BY \"target\"\nORDER BY \"row_count\" DESC;","notes":"Counts rows per target value using the planned grouped-count template."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6577f934653cbb43/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6577f934653cbb43/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_66e03a8df80f9b66/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_66e03a8df80f9b66/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..059a3508db130b9803d6cd57c600cb4ccac6ea11 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_66e03a8df80f9b66/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": "2026-05-19T16:01:08.591522+00:00", + "ended_at": "2026-05-19T16:01:11.832172+00:00", + "elapsed_ms": 3240.61, + "returncode": 1, + "prompt_metrics": { + "chars": 12459, + "bytes_utf8": 12459, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_66e03a8df80f9b66/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_66e03a8df80f9b66/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..95d70df74e3af58ae94bba15427f2c88a9b64972 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_66e03a8df80f9b66/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": "2026-05-19T16:01:12.834710+00:00", + "ended_at": "2026-05-19T16:01:16.208724+00:00", + "elapsed_ms": 3373.98, + "returncode": 1, + "prompt_metrics": { + "chars": 12459, + "bytes_utf8": 12459, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_66e03a8df80f9b66/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_66e03a8df80f9b66/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0e804ab40b3bba61162d9f01ca7732695069be3d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_66e03a8df80f9b66/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,396 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=bin_0, measure_col=month.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "bin_0", + "measure_col": "month", + "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": 9.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_66e03a8df80f9b66/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_66e03a8df80f9b66/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..0e804ab40b3bba61162d9f01ca7732695069be3d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_66e03a8df80f9b66/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,396 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=bin_0, measure_col=month.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "bin_0", + "measure_col": "month", + "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": 9.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_66e03a8df80f9b66/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_66e03a8df80f9b66/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..35e6b814073bd3ffac1f6bef2d8ef5b324350c8e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_66e03a8df80f9b66/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-34e4-7cf0-a312-e0010544e0e8"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_66e03a8df80f9b66/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_66e03a8df80f9b66/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6c9f2220ca7998262942f936b6188698e5d0f0e1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_66e03a8df80f9b66/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-34e4-7cf0-a312-e0010544e0e8"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_66e03a8df80f9b66/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_66e03a8df80f9b66/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..006c99ec58efd0f4ea4da9b50cda8fade4786936 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_66e03a8df80f9b66/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-4587-76e3-a4d8-1dd33f047a81"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_66e03a8df80f9b66/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_66e03a8df80f9b66/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..f993043e809d3e5b9ce487173eac5f481f8635cc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_66e03a8df80f9b66/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-4587-76e3-a4d8-1dd33f047a81"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_66e03a8df80f9b66/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_66e03a8df80f9b66/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_66e03a8df80f9b66/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_66e03a8df80f9b66/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6d70e4104bf31987/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6d70e4104bf31987/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..a4cfdc2d868b69d2be67f207d85cc3512ff57de0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6d70e4104bf31987/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=ord_4, measure_col=ord_0. +Result preview: [{"ord_4": "L", "nom_5": "7d6c0cf07", "total_measure": 17.0, "share_within_group": 0.5573770491803278}, {"ord_4": "J", "nom_5": "58782c7b9", "total_measure": 18.0, "share_within_group": 0.5077574047954866}, {"ord_4": "L", "nom_5": "58782c7b9", "total_measure": 14.0, "share_within_group": 0.45901639344262296}, {"ord_4": "L", "nom_5": "cdb65fd22", "total_measure": 14.0, "share_within_group": 0.45901639344262296}, {"ord_4": "J", "nom_5": "aabf2baad", "total_measure": 16.0, "share_within_group": 0.4513399153737659}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6d70e4104bf31987/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6d70e4104bf31987/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..244e31479f9dad945ec2b0785b88eeef7c9ceabc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6d70e4104bf31987/generated_sql.sql @@ -0,0 +1,32 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c15 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: focused_target_view +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_c15_6d70e4104bf31987 +-- problem_id: v2p_c15_5a80b046ea534e0b +-- realization_mode: agent +-- source_kind: agent +WITH "agg" AS ( + SELECT + "ord_4", + "nom_5", + SUM(CAST(NULLIF("ord_0", '') AS REAL)) AS "total_measure" + FROM "c15" + WHERE NULLIF("ord_4", '') IS NOT NULL + AND NULLIF("nom_5", '') IS NOT NULL + AND NULLIF("ord_0", '') IS NOT NULL + GROUP BY "ord_4", "nom_5" +) +SELECT + "ord_4", + "nom_5", + "total_measure", + "total_measure" * 100.0 / SUM("total_measure") OVER (PARTITION BY "ord_4") AS "share_within_group" +FROM "agg" +ORDER BY "share_within_group" DESC +LIMIT 17; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6d70e4104bf31987/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6d70e4104bf31987/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..cdc1e499bede2a720e990c96ea4ab68fc0456fcb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6d70e4104bf31987/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpcds_within_group_share\nWITH \"agg\" AS (\n SELECT\n \"ord_4\",\n \"nom_5\",\n SUM(CAST(NULLIF(\"ord_0\", '') AS REAL)) AS \"total_measure\"\n FROM \"c15\"\n WHERE NULLIF(\"ord_4\", '') IS NOT NULL\n AND NULLIF(\"nom_5\", '') IS NOT NULL\n AND NULLIF(\"ord_0\", '') IS NOT NULL\n GROUP BY \"ord_4\", \"nom_5\"\n)\nSELECT\n \"ord_4\",\n \"nom_5\",\n \"total_measure\",\n \"total_measure\" * 100.0 / SUM(\"total_measure\") OVER (PARTITION BY \"ord_4\") AS \"share_within_group\"\nFROM \"agg\"\nORDER BY \"share_within_group\" DESC\nLIMIT 17;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nWITH \\\"agg\\\" AS (\\n SELECT\\n \\\"ord_4\\\",\\n \\\"nom_5\\\",\\n SUM(CAST(NULLIF(\\\"ord_0\\\", '') AS REAL)) AS \\\"total_measure\\\"\\n FROM \\\"c15\\\"\\n WHERE NULLIF(\\\"ord_4\\\", '') IS NOT NULL\\n AND NULLIF(\\\"nom_5\\\", '') IS NOT NULL\\n AND NULLIF(\\\"ord_0\\\", '') IS NOT NULL\\n GROUP BY \\\"ord_4\\\", \\\"nom_5\\\"\\n)\\nSELECT\\n \\\"ord_4\\\",\\n \\\"nom_5\\\",\\n \\\"total_measure\\\",\\n \\\"total_measure\\\" * 100.0 / SUM(\\\"total_measure\\\") OVER (PARTITION BY \\\"ord_4\\\") AS \\\"share_within_group\\\"\\nFROM \\\"agg\\\"\\nORDER BY \\\"share_within_group\\\" DESC\\nLIMIT 17;\", \"columns\": [\"ord_4\", \"nom_5\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"ord_4\": \"L\", \"nom_5\": \"7d6c0cf07\", \"total_measure\": 17.0, \"share_within_group\": 0.5573770491803278}, {\"ord_4\": \"J\", \"nom_5\": \"58782c7b9\", \"total_measure\": 18.0, \"share_within_group\": 0.5077574047954866}, {\"ord_4\": \"L\", \"nom_5\": \"58782c7b9\", \"total_measure\": 14.0, \"share_within_group\": 0.45901639344262296}, {\"ord_4\": \"L\", \"nom_5\": \"cdb65fd22\", \"total_measure\": 14.0, \"share_within_group\": 0.45901639344262296}, {\"ord_4\": \"J\", \"nom_5\": \"aabf2baad\", \"total_measure\": 16.0, \"share_within_group\": 0.4513399153737659}, {\"ord_4\": \"J\", \"nom_5\": \"0714feb00\", \"total_measure\": 15.0, \"share_within_group\": 0.4231311706629055}, {\"ord_4\": \"J\", \"nom_5\": \"4a4f85396\", \"total_measure\": 15.0, \"share_within_group\": 0.4231311706629055}, {\"ord_4\": \"J\", \"nom_5\": \"1488710ac\", \"total_measure\": 14.0, \"share_within_group\": 0.39492242595204513}, {\"ord_4\": \"J\", \"nom_5\": \"5116f453f\", \"total_measure\": 14.0, \"share_within_group\": 0.39492242595204513}, {\"ord_4\": \"J\", \"nom_5\": \"d9c2c1d6c\", \"total_measure\": 14.0, \"share_within_group\": 0.39492242595204513}, {\"ord_4\": \"L\", \"nom_5\": \"0714feb00\", \"total_measure\": 12.0, \"share_within_group\": 0.39344262295081966}, {\"ord_4\": \"L\", \"nom_5\": \"1afcc7a12\", \"total_measure\": 12.0, \"share_within_group\": 0.39344262295081966}, {\"ord_4\": \"L\", \"nom_5\": \"237b86561\", \"total_measure\": 12.0, \"share_within_group\": 0.39344262295081966}, {\"ord_4\": \"L\", \"nom_5\": \"245af180f\", \"total_measure\": 12.0, \"share_within_group\": 0.39344262295081966}, {\"ord_4\": \"L\", \"nom_5\": \"a16f19e9b\", \"total_measure\": 12.0, \"share_within_group\": 0.39344262295081966}, {\"ord_4\": \"L\", \"nom_5\": \"a4a2c472a\", \"total_measure\": 12.0, \"share_within_group\": 0.39344262295081966}, {\"ord_4\": \"V\", \"nom_5\": \"fc8fc7e56\", \"total_measure\": 22.0, \"share_within_group\": 0.39180765805877116}], \"row_count_returned\": 17, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 773.77}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6d70e4104bf31987/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6d70e4104bf31987/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..f06759d9f41defcfa1abd68271879b045b553634 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6d70e4104bf31987/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c15", + "started_at": "2026-05-19T15:41:19.791347+00:00", + "ended_at": "2026-05-19T15:42:03.789597+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c15_6d70e4104bf31987", + "problem_id": "v2p_c15_5a80b046ea534e0b", + "dataset_id": "c15", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=ord_4, measure_col=ord_0.", + "bindings": { + "group_col": "ord_4", + "measure_col": "ord_0", + "item_col": "nom_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": 2.32, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=9", + "sql_variant_index=2/2", + "binding_index=32" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 9, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/sql/v2q_c15_6d70e4104bf31987.sql", + "usage_summary": { + "dataset_id": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_6d70e4104bf31987", + "api_calls": 0, + "input_tokens": 16179, + "cached_input_tokens": 14720, + "output_tokens": 2256, + "total_tokens": 18435, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 43190.35, + "sql_execution_elapsed_ms_total": 773.77, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6d70e4104bf31987/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6d70e4104bf31987/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6d70e4104bf31987/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3dfa1a700a1cd4a75dea8cf64f7f965c9192c752 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6d70e4104bf31987/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:42:03.013174+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 43190.35, "started_at": "2026-05-19T15:41:19.821501+00:00", "ended_at": "2026-05-19T15:42:03.011882+00:00", "prompt_metrics": {"chars": 12685, "bytes_utf8": 12685, "lines": 398, "estimated_tokens": null}, "response_metrics": {"chars": 835, "bytes_utf8": 835, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16179, "cached_input_tokens": 14720, "output_tokens": 2256, "reasoning_output_tokens": 1987}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nWITH \\\"agg\\\" AS (\\n SELECT\\n \\\"ord_4\\\",\\n \\\"nom_5\\\",\\n SUM(CAST(NULLIF(\\\"ord_0\\\", '') AS REAL)) AS \\\"total_measure\\\"\\n FROM \\\"c15\\\"\\n WHERE NULLIF(\\\"ord_4\\\", '') IS NOT NULL\\n AND NULLIF(\\\"nom_5\\\", '') IS NOT NULL\\n AND NULLIF(\\\"ord_0\\\", '') IS NOT NULL\\n GROUP BY \\\"ord_4\\\", \\\"nom_5\\\"\\n)\\nSELECT\\n \\\"ord_4\\\",\\n \\\"nom_5\\\",\\n \\\"total_measure\\\",\\n \\\"total_measure\\\" * 100.0 / SUM(\\\"total_measure\\\") OVER (PARTITION BY \\\"ord_4\\\") AS \\\"share_within_group\\\"\\nFROM \\\"agg\\\"\\nORDER BY \\\"share_within_group\\\" DESC\\nLIMIT 17;\",\"notes\":\"Uses the planned template with group_col=\\\"ord_4\\\", item_col=\\\"nom_5\\\", and measure_col=\\\"ord_0\\\". Since \\\"ord_0\\\" is stored as TEXT, it is cast to REAL after excluding empty strings; empty group and item values are also excluded.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6d70e4104bf31987/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6d70e4104bf31987/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..106ea9c69468492c49f93ddf91821874b8d817bc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6d70e4104bf31987/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_6d70e4104bf31987", + "api_calls": 0, + "input_tokens": 16179, + "cached_input_tokens": 14720, + "output_tokens": 2256, + "total_tokens": 18435, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 43190.35, + "sql_execution_elapsed_ms_total": 773.77, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6d70e4104bf31987/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6df0ad95b8584492/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6df0ad95b8584492/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..4ed0c67c0012607bacea78f35f828be0f46a617f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6df0ad95b8584492/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"ord_5": "", "support": 17713, "avg_response": 0.08756280697792582}, {"ord_5": "Fl", "support": 10562, "avg_response": 0.08701003597803446}, {"ord_5": "DN", "support": 9527, "avg_response": 0.08712081452713341}, {"ord_5": "Sz", "support": 8654, "avg_response": 0.08897619597873815}, {"ord_5": "RV", "support": 5648, "avg_response": 0.08622521246458924}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6df0ad95b8584492/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6df0ad95b8584492/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..8fb8af25e464d6d4fe5aea0784719277ae3d8b1b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6df0ad95b8584492/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c15 +-- family_id: cardinality_structure +-- canonical_subitem_id: high_cardinality_response_stability +-- intended_facet_id: target_cardinality_cross_section +-- variant_semantic_role: focused_target_view +-- template_id: tpl_cardinality_high_card_response_stability +-- query_record_id: v2q_c15_6df0ad95b8584492 +-- problem_id: v2p_c15_30f8fe385a137c50 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "ord_5", + COUNT(*) AS support, + AVG("bin_0") AS avg_response +FROM "c15" +GROUP BY "ord_5" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6df0ad95b8584492/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6df0ad95b8584492/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..134add72262a8bf7a96ce77adc89783182dc4823 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6df0ad95b8584492/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_b\n-- sql_source_dataset_id: c15\n-- family_id: cardinality_structure\n-- canonical_subitem_id: high_cardinality_response_stability\n-- intended_facet_id: target_cardinality_cross_section\n-- variant_semantic_role: focused_target_view\n-- template_id: tpl_cardinality_high_card_response_stability\n-- query_record_id: v2q_c15_6df0ad95b8584492\n-- problem_id: v2p_c15_30f8fe385a137c50\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"ord_5\",\n COUNT(*) AS support,\n AVG(\"bin_0\") AS avg_response\nFROM \"c15\"\nGROUP BY \"ord_5\"\nHAVING COUNT(*) >= 5.0\nORDER BY support DESC, avg_response DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_b\\n-- sql_source_dataset_id: c15\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: high_cardinality_response_stability\\n-- intended_facet_id: target_cardinality_cross_section\\n-- variant_semantic_role: focused_target_view\\n-- template_id: tpl_cardinality_high_card_response_stability\\n-- query_record_id: v2q_c15_6df0ad95b8584492\\n-- problem_id: v2p_c15_30f8fe385a137c50\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"ord_5\\\",\\n COUNT(*) AS support,\\n AVG(\\\"bin_0\\\") AS avg_response\\nFROM \\\"c15\\\"\\nGROUP BY \\\"ord_5\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"ord_5\", \"support\", \"avg_response\"], \"rows\": [{\"ord_5\": \"\", \"support\": 17713, \"avg_response\": 0.08756280697792582}, {\"ord_5\": \"Fl\", \"support\": 10562, \"avg_response\": 0.08701003597803446}, {\"ord_5\": \"DN\", \"support\": 9527, \"avg_response\": 0.08712081452713341}, {\"ord_5\": \"Sz\", \"support\": 8654, \"avg_response\": 0.08897619597873815}, {\"ord_5\": \"RV\", \"support\": 5648, \"avg_response\": 0.08622521246458924}, {\"ord_5\": \"oJ\", \"support\": 5596, \"avg_response\": 0.09238741958541816}, {\"ord_5\": \"PS\", \"support\": 5447, \"avg_response\": 0.08903983844317973}, {\"ord_5\": \"vq\", \"support\": 5443, \"avg_response\": 0.08487966195112989}, {\"ord_5\": \"WW\", \"support\": 5385, \"avg_response\": 0.09136490250696379}, {\"ord_5\": \"XC\", \"support\": 5383, \"avg_response\": 0.09084153817573844}, {\"ord_5\": \"AG\", \"support\": 5364, \"avg_response\": 0.08985831469052946}, {\"ord_5\": \"GZ\", \"support\": 5348, \"avg_response\": 0.09704562453253553}, {\"ord_5\": \"be\", \"support\": 5313, \"avg_response\": 0.09486166007905138}, {\"ord_5\": \"DR\", \"support\": 5292, \"avg_response\": 0.0829554043839758}, {\"ord_5\": \"vx\", \"support\": 5237, \"avg_response\": 0.08688180255871682}, {\"ord_5\": \"tn\", \"support\": 5231, \"avg_response\": 0.08908430510418658}, {\"ord_5\": \"lS\", \"support\": 5229, \"avg_response\": 0.09064830751577739}, {\"ord_5\": \"hG\", \"support\": 5224, \"avg_response\": 0.0903522205206738}, {\"ord_5\": \"mo\", \"support\": 5174, \"avg_response\": 0.09006571318129107}, {\"ord_5\": \"Ib\", \"support\": 5129, \"avg_response\": 0.08676155195944629}, {\"ord_5\": \"mD\", \"support\": 5120, \"avg_response\": 0.09375}, {\"ord_5\": \"TL\", \"support\": 5112, \"avg_response\": 0.08548513302034429}, {\"ord_5\": \"TZ\", \"support\": 5092, \"avg_response\": 0.08994501178318931}, {\"ord_5\": \"Hk\", \"support\": 5033, \"avg_response\": 0.09715875223524736}, {\"ord_5\": \"Nh\", \"support\": 4986, \"avg_response\": 0.08263136782992378}, {\"ord_5\": \"YJ\", \"support\": 4968, \"avg_response\": 0.09219001610305957}, {\"ord_5\": \"rl\", \"support\": 4961, \"avg_response\": 0.08748236242693005}, {\"ord_5\": \"RD\", \"support\": 4949, \"avg_response\": 0.08809860577894524}, {\"ord_5\": \"gc\", \"support\": 4926, \"avg_response\": 0.09135200974421437}, {\"ord_5\": \"uQ\", \"support\": 4923, \"avg_response\": 0.09343895998374975}, {\"ord_5\": \"pB\", \"support\": 4852, \"avg_response\": 0.08676834295136027}, {\"ord_5\": \"Mg\", \"support\": 4831, \"avg_response\": 0.09397640240115918}, {\"ord_5\": \"MV\", \"support\": 4826, \"avg_response\": 0.09179444674678823}, {\"ord_5\": \"rM\", \"support\": 4792, \"avg_response\": 0.08889816360601002}, {\"ord_5\": \"oU\", \"support\": 4753, \"avg_response\": 0.08373658741847255}, {\"ord_5\": \"rA\", \"support\": 4738, \"avg_response\": 0.08864499788940482}, {\"ord_5\": \"JQ\", \"support\": 4717, \"avg_response\": 0.09179563281746873}, {\"ord_5\": \"Dj\", \"support\": 4686, \"avg_response\": 0.09240290226205719}, {\"ord_5\": \"DI\", \"support\": 4682, \"avg_response\": 0.08821016659547203}, {\"ord_5\": \"UV\", \"support\": 4654, \"avg_response\": 0.09604641168886979}, {\"ord_5\": \"yE\", \"support\": 4623, \"avg_response\": 0.09582522171749946}, {\"ord_5\": \"fV\", \"support\": 4582, \"avg_response\": 0.0962461807071148}, {\"ord_5\": \"ep\", \"support\": 4572, \"avg_response\": 0.081583552055993}, {\"ord_5\": \"Pw\", \"support\": 4568, \"avg_response\": 0.09347635726795096}, {\"ord_5\": \"OZ\", \"support\": 4565, \"avg_response\": 0.09178532311062432}, {\"ord_5\": \"XM\", \"support\": 4554, \"avg_response\": 0.08827404479578392}, {\"ord_5\": \"Ey\", \"support\": 4520, \"avg_response\": 0.08628318584070796}, {\"ord_5\": \"oh\", \"support\": 4512, \"avg_response\": 0.09042553191489362}, {\"ord_5\": \"ly\", \"support\": 4489, \"avg_response\": 0.08621073735798619}, {\"ord_5\": \"AU\", \"support\": 4487, \"avg_response\": 0.08402050367728994}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 385.64}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6df0ad95b8584492/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6df0ad95b8584492/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..5fe7b2792af367d0c8fb5a7d9a9fd92f407994dc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6df0ad95b8584492/run_manifest.json @@ -0,0 +1,60 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c15", + "started_at": "2026-05-19T16:13:21.239196+00:00", + "ended_at": "2026-05-19T16:13:21.627113+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c15_6df0ad95b8584492", + "problem_id": "v2p_c15_30f8fe385a137c50", + "dataset_id": "c15", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=bin_0, key_col=ord_5.", + "bindings": { + "key_col": "ord_5", + "measure_col": "bin_0", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=12", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 12, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/sql/v2q_c15_6df0ad95b8584492.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6df0ad95b8584492/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6df0ad95b8584492/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6df0ad95b8584492/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6fd14689d0155d7d/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6fd14689d0155d7d/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..af1f1b6f6b58ae9c2030c8af91588cff05089754 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6fd14689d0155d7d/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c15", + "started_at": "2026-05-19T15:54:51.691475+00:00", + "ended_at": "2026-05-19T15:54:58.538066+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c15_6fd14689d0155d7d", + "problem_id": "v2p_c15_e3ccb0508981c381", + "dataset_id": "c15", + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=nom_3, measure_col=bin_2.", + "bindings": { + "group_col": "nom_3", + "measure_col": "bin_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": 0.66, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=9", + "sql_variant_index=2/2", + "binding_index=80" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 9, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6fd14689d0155d7d/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6fd14689d0155d7d/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..071dd9ff32de105c1e34afdf656296545ba89f00 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6fd14689d0155d7d/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:54:54.584478+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 2861.83, "started_at": "2026-05-19T15:54:51.721930+00:00", "ended_at": "2026-05-19T15:54:54.583789+00:00", "prompt_metrics": {"chars": 12838, "bytes_utf8": 12838, "lines": 396, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f2-74d6-7de2-b137-34c47e284c68\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T15:54:58.537899+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 2950.47, "started_at": "2026-05-19T15:54:55.585911+00:00", "ended_at": "2026-05-19T15:54:58.536418+00:00", "prompt_metrics": {"chars": 12838, "bytes_utf8": 12838, "lines": 396, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f2-83fc-7133-a95e-e544bce8b971\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7120827080ce65a4/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7120827080ce65a4/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e55787a9c2d77a3457b8939c12aea4fd03d347ac --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7120827080ce65a4/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": "2026-05-19T15:58:58.072039+00:00", + "ended_at": "2026-05-19T15:59:01.382868+00:00", + "elapsed_ms": 3310.8, + "returncode": 1, + "prompt_metrics": { + "chars": 12458, + "bytes_utf8": 12458, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7120827080ce65a4/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7120827080ce65a4/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c67c13293181ea0821ea7e17b2ddace858276101 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7120827080ce65a4/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:59:02.385440+00:00", + "ended_at": "2026-05-19T15:59:06.652631+00:00", + "elapsed_ms": 4267.14, + "returncode": 1, + "prompt_metrics": { + "chars": 12458, + "bytes_utf8": 12458, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7120827080ce65a4/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7120827080ce65a4/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..aaed7e517fae39be247687a89b0f45da9dfabe8d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7120827080ce65a4/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,396 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=day, measure_col=bin_2.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "day", + "measure_col": "bin_2", + "top_k": 17, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.66, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7120827080ce65a4/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7120827080ce65a4/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..aaed7e517fae39be247687a89b0f45da9dfabe8d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7120827080ce65a4/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,396 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=day, measure_col=bin_2.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "day", + "measure_col": "bin_2", + "top_k": 17, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.66, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7120827080ce65a4/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7120827080ce65a4/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..3a99991e2f4dc966a107f66a95dcd2787208ee5f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7120827080ce65a4/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f6-3725-7d32-8e8c-5203e13e1b73"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7120827080ce65a4/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7120827080ce65a4/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..429c9be770011d53860858d468be2b600f81bb4f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7120827080ce65a4/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f6-3725-7d32-8e8c-5203e13e1b73"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7120827080ce65a4/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7120827080ce65a4/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c3c3ee50271a88f3b139f917b4616747098b845e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7120827080ce65a4/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f6-480a-7f22-af22-53ab46c63d18"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7120827080ce65a4/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7120827080ce65a4/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..230dacc9f35c18786caa9ce60eb85a101c644bd1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7120827080ce65a4/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f6-480a-7f22-af22-53ab46c63d18"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7120827080ce65a4/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7120827080ce65a4/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7120827080ce65a4/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7120827080ce65a4/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_74aa64a9ef1af948/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_74aa64a9ef1af948/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..aa3fbce73ae4afeb4b24d63213f137f5ad568e10 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_74aa64a9ef1af948/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"bin_4": "N", "total_rows": 312344, "missing_rows": 0, "missing_rate": 0.0}, {"bin_4": "Y", "total_rows": 269609, "missing_rows": 0, "missing_rate": 0.0}, {"bin_4": "", "total_rows": 18047, "missing_rows": 0, "missing_rate": 0.0}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_74aa64a9ef1af948/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_74aa64a9ef1af948/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..3d97f31a5d4dd16730196a933d87f142d7089049 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_74aa64a9ef1af948/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c15 +-- family_id: missingness_structure +-- canonical_subitem_id: co_missingness_pattern_consistency +-- intended_facet_id: missing_target_interaction +-- variant_semantic_role: missing_target_interaction +-- template_id: tpl_missing_target_interaction +-- query_record_id: v2q_c15_74aa64a9ef1af948 +-- problem_id: v2p_c15_580c173710746507 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "bin_4", + COUNT(*) AS total_rows, + SUM(CASE WHEN "ord_2" IS NULL THEN 1 ELSE 0 END) AS missing_rows, + AVG(CASE WHEN "ord_2" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate +FROM "c15" +GROUP BY "bin_4" +ORDER BY missing_rate DESC, total_rows DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_74aa64a9ef1af948/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_74aa64a9ef1af948/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..020efc04c632e661d1c22d1faae4c5f52f143283 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_74aa64a9ef1af948/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_b\n-- sql_source_dataset_id: c15\n-- family_id: missingness_structure\n-- canonical_subitem_id: co_missingness_pattern_consistency\n-- intended_facet_id: missing_target_interaction\n-- variant_semantic_role: missing_target_interaction\n-- template_id: tpl_missing_target_interaction\n-- query_record_id: v2q_c15_74aa64a9ef1af948\n-- problem_id: v2p_c15_580c173710746507\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"bin_4\",\n COUNT(*) AS total_rows,\n SUM(CASE WHEN \"ord_2\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN \"ord_2\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM \"c15\"\nGROUP BY \"bin_4\"\nORDER BY missing_rate DESC, total_rows DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_b\\n-- sql_source_dataset_id: c15\\n-- family_id: missingness_structure\\n-- canonical_subitem_id: co_missingness_pattern_consistency\\n-- intended_facet_id: missing_target_interaction\\n-- variant_semantic_role: missing_target_interaction\\n-- template_id: tpl_missing_target_interaction\\n-- query_record_id: v2q_c15_74aa64a9ef1af948\\n-- problem_id: v2p_c15_580c173710746507\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"bin_4\\\",\\n COUNT(*) AS total_rows,\\n SUM(CASE WHEN \\\"ord_2\\\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\\n AVG(CASE WHEN \\\"ord_2\\\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\\nFROM \\\"c15\\\"\\nGROUP BY \\\"bin_4\\\"\\nORDER BY missing_rate DESC, total_rows DESC;\", \"columns\": [\"bin_4\", \"total_rows\", \"missing_rows\", \"missing_rate\"], \"rows\": [{\"bin_4\": \"N\", \"total_rows\": 312344, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"bin_4\": \"Y\", \"total_rows\": 269609, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"bin_4\": \"\", \"total_rows\": 18047, \"missing_rows\": 0, \"missing_rate\": 0.0}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 360.4}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_74aa64a9ef1af948/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_74aa64a9ef1af948/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..6434f9d5a6804f5546a03baaa8e1b900349d2782 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_74aa64a9ef1af948/run_manifest.json @@ -0,0 +1,59 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c15", + "started_at": "2026-05-19T16:13:08.900008+00:00", + "ended_at": "2026-05-19T16:13:09.262040+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c15_74aa64a9ef1af948", + "problem_id": "v2p_c15_580c173710746507", + "dataset_id": "c15", + "template_id": "tpl_missing_target_interaction", + "template_name": "Missingness-Target Interaction", + "family_id": "missingness_structure", + "canonical_subitem_id": "co_missingness_pattern_consistency", + "intended_facet_id": "missing_target_interaction", + "variant_semantic_role": "missing_target_interaction", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": false, + "question": "Use template Missingness-Target Interaction to probe co_missingness_pattern_consistency with semantic role missing_target_interaction. Focus on target_col=bin_4, missing_col=ord_2.", + "bindings": { + "missing_col": "ord_2", + "target_col": "bin_4" + }, + "binding_roles": [ + "missing_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {target_col},\n COUNT(*) AS total_rows,\n SUM(CASE WHEN {missing_col} IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN {missing_col} IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM {table}\nGROUP BY {target_col}\nORDER BY missing_rate DESC, total_rows DESC;", + "notes": [ + "default_facets=missing_rate_by_subgroup,missing_target_interaction", + "template_selection_mode=deterministic", + "problem_index_within_template=10", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 10, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/sql/v2q_c15_74aa64a9ef1af948.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_74aa64a9ef1af948/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_74aa64a9ef1af948/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_74aa64a9ef1af948/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_74df09dbebdbc066/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_74df09dbebdbc066/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8c952760016e79a2d1838ccfbd79f510f694f0ab --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_74df09dbebdbc066/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12275, "bytes_utf8": 12275, "lines": 396, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 418, "bytes_utf8": 418, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16056, "cached_input_tokens": 12032, "output_tokens": 358, "reasoning_output_tokens": 239}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_74df09dbebdbc066/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_74df09dbebdbc066/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..e9ea8e766734f3e360ffc2f0cf33c948ee4bc97c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_74df09dbebdbc066/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_74df09dbebdbc066", + "api_calls": 0, + "input_tokens": 16056, + "cached_input_tokens": 12032, + "output_tokens": 358, + "total_tokens": 16414, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 22574.45, + "sql_execution_elapsed_ms_total": 343.53, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_74df09dbebdbc066/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_74df09dbebdbc066/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_74df09dbebdbc066/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..3e728341723e1b6d062f48baff513735cca6dc5c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_74df09dbebdbc066/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:30:29.323091+00:00", + "ended_at": "2026-05-19T15:30:51.897571+00:00", + "elapsed_ms": 22574.45, + "prompt_metrics": { + "chars": 12275, + "bytes_utf8": 12275, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2113, + "bytes_utf8": 2113, + "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": 418, + "bytes_utf8": 418, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16056, + "cached_input_tokens": 12032, + "output_tokens": 358, + "reasoning_output_tokens": 239 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_74df09dbebdbc066/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_74df09dbebdbc066/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..baba7205be30ebbee46892d09c5df1e9df1a6225 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_74df09dbebdbc066/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,396 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=nom_0, measure_col=day.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "nom_0", + "measure_col": "day", + "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": 6.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_74df09dbebdbc066/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_74df09dbebdbc066/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..944d29b1d5a52570dd2ac216e6a1c22cd7e1216e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_74df09dbebdbc066/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,8 @@ +{"type":"thread.started","thread_id":"019e40dc-2464-7c81-84c8-f672f62f5547"} +{"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 1991425, Requested 16691. Please try again in 243ms. 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 1993346, Requested 16691. Please try again in 301ms. 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 16691. Please try again in 500ms. 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 2000000, Requested 16691. Please try again in 500ms. 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 \\\"nom_0\\\", SUM(CAST(\\\"day\\\" AS REAL)) AS total_measure\\nFROM \\\"c15\\\"\\nWHERE \\\"day\\\" <> ''\\nGROUP BY \\\"nom_0\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the required Grouped Numeric Sum template with group_col=\\\"nom_0\\\" and measure_col=\\\"day\\\". CAST was added because \\\"day\\\" is stored as TEXT in the SQLite snapshot, and empty strings are excluded before summing.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16056,"cached_input_tokens":12032,"output_tokens":358,"reasoning_output_tokens":239}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_74df09dbebdbc066/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_74df09dbebdbc066/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6728fe388821a90ac9da9e748a44973bee45e5b5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_74df09dbebdbc066/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"nom_0\", SUM(CAST(\"day\" AS REAL)) AS total_measure\nFROM \"c15\"\nWHERE \"day\" <> ''\nGROUP BY \"nom_0\"\nORDER BY total_measure DESC;","notes":"Used the required Grouped Numeric Sum template with group_col=\"nom_0\" and measure_col=\"day\". CAST was added because \"day\" is stored as TEXT in the SQLite snapshot, and empty strings are excluded before summing."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_74df09dbebdbc066/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_74df09dbebdbc066/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_770ac3def0323331/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_770ac3def0323331/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4ed332b32d734ca46d8cb5d8bef3239481a678e1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_770ac3def0323331/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12834, "bytes_utf8": 12834, "lines": 396, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_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": 16196, "cached_input_tokens": 12032, "output_tokens": 658, "reasoning_output_tokens": 475}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_770ac3def0323331/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_770ac3def0323331/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..45727abe38c5ec964d97f70ba0d0fba0a8bde235 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_770ac3def0323331/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_770ac3def0323331", + "api_calls": 0, + "input_tokens": 16196, + "cached_input_tokens": 12032, + "output_tokens": 658, + "total_tokens": 16854, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13162.91, + "sql_execution_elapsed_ms_total": 311.24, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_770ac3def0323331/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_770ac3def0323331/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_770ac3def0323331/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7ce784d4cefae993f46fb0d4a5903b9726bd1dd9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_770ac3def0323331/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": "2026-05-19T15:51:47.568407+00:00", + "ended_at": "2026-05-19T15:52:00.731349+00:00", + "elapsed_ms": 13162.91, + "prompt_metrics": { + "chars": 12834, + "bytes_utf8": 12834, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1015, + "bytes_utf8": 1015, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 644, + "bytes_utf8": 644, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16196, + "cached_input_tokens": 12032, + "output_tokens": 658, + "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_b/c15/artifacts/v2q_c15_770ac3def0323331/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_770ac3def0323331/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1e13f243e6d6027d50276b292eb6c9fc682ab658 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_770ac3def0323331/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,396 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=bin_2, measure_col=ord_0.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "bin_2", + "measure_col": "ord_0", + "top_k": 14, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2.5, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_770ac3def0323331/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_770ac3def0323331/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f18d6f6d4b8b8121ea8cadcfd45633b4999f55e7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_770ac3def0323331/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ef-a573-7f53-a137-6df72e8bc56b"} +{"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 \\\"bin_2\\\", SUM(CAST(NULLIF(\\\"ord_0\\\", '') AS REAL)) AS group_value\\n FROM \\\"c15\\\"\\n GROUP BY \\\"bin_2\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"bin_2\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\",\"notes\":\"Applied the provided template with group_col=\\\"bin_2\\\" and measure_col=\\\"ord_0\\\". Since \\\"ord_0\\\" is stored as TEXT, empty strings are converted to NULL and remaining values are CAST to REAL before SUM().\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16196,"cached_input_tokens":12032,"output_tokens":658,"reasoning_output_tokens":475}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_770ac3def0323331/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_770ac3def0323331/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f4cd0d96c6090d48725c6a2c28f1f5ab2d191499 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_770ac3def0323331/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"bin_2\", SUM(CAST(NULLIF(\"ord_0\", '') AS REAL)) AS group_value\n FROM \"c15\"\n GROUP BY \"bin_2\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"bin_2\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.1\nORDER BY g.group_value DESC;","notes":"Applied the provided template with group_col=\"bin_2\" and measure_col=\"ord_0\". Since \"ord_0\" is stored as TEXT, empty strings are converted to NULL and remaining values are CAST to REAL before SUM()."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_770ac3def0323331/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_770ac3def0323331/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7982bfdfa5813aa5/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7982bfdfa5813aa5/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..20f9e4c87648b33ed2e8901af4b72654c95edcda --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7982bfdfa5813aa5/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12586, "bytes_utf8": 12586, "lines": 400, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_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": 16153, "cached_input_tokens": 12032, "output_tokens": 557, "reasoning_output_tokens": 438}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7982bfdfa5813aa5/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7982bfdfa5813aa5/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..1ee00f99a844aeb57efd65badf2241eaa18a58be --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7982bfdfa5813aa5/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_7982bfdfa5813aa5", + "api_calls": 0, + "input_tokens": 16153, + "cached_input_tokens": 12032, + "output_tokens": 557, + "total_tokens": 16710, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15198.35, + "sql_execution_elapsed_ms_total": 351.21, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7982bfdfa5813aa5/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7982bfdfa5813aa5/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7982bfdfa5813aa5/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..034647621916e1f6b95390716611daa6cab8ef12 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7982bfdfa5813aa5/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": "2026-05-19T15:47:36.738718+00:00", + "ended_at": "2026-05-19T15:47:51.937120+00:00", + "elapsed_ms": 15198.35, + "prompt_metrics": { + "chars": 12586, + "bytes_utf8": 12586, + "lines": 400, + "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": 385, + "bytes_utf8": 385, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16153, + "cached_input_tokens": 12032, + "output_tokens": 557, + "reasoning_output_tokens": 438 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7982bfdfa5813aa5/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7982bfdfa5813aa5/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2e076685f654866596f3ea082cd3b81ac9d4c3f5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7982bfdfa5813aa5/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,400 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=bin_3, group_col_2=ord_0.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "bin_3", + "group_col_2": "ord_0", + "predicate_col": "bin_3", + "predicate_op": "=", + "predicate_value": "F", + "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": 6.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7982bfdfa5813aa5/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7982bfdfa5813aa5/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..68871313add08789311a5bee1e4adef7b890c4c4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7982bfdfa5813aa5/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40eb-d225-75f3-a493-5505d220f140"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"bin_3\\\", \\\"ord_0\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"c15\\\"\\nWHERE \\\"bin_3\\\" = 'F'\\nGROUP BY \\\"bin_3\\\", \\\"ord_0\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Uses the specified filtered two-dimensional group count template with \\\"bin_3\\\" as both the grouping and filter column, and \\\"ord_0\\\" as the second grouping column.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16153,"cached_input_tokens":12032,"output_tokens":557,"reasoning_output_tokens":438}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7982bfdfa5813aa5/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7982bfdfa5813aa5/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0efe2e2c644dc042ad0bc81032b56731afdcdab0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7982bfdfa5813aa5/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"bin_3\", \"ord_0\", COUNT(*) AS \"row_count\"\nFROM \"c15\"\nWHERE \"bin_3\" = 'F'\nGROUP BY \"bin_3\", \"ord_0\"\nORDER BY \"row_count\" DESC;","notes":"Uses the specified filtered two-dimensional group count template with \"bin_3\" as both the grouping and filter column, and \"ord_0\" as the second grouping column."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7982bfdfa5813aa5/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7982bfdfa5813aa5/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_79e26891e93428d9/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_79e26891e93428d9/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..93215b7d88410826c88d64f7dfa3a6416a12c8a3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_79e26891e93428d9/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "Hamster", "support": 164897, "support_share": 0.27482833333333334, "support_rank": 1}, {"value_label": "Axolotl", "support": 152319, "support_share": 0.253865, "support_rank": 2}, {"value_label": "Lion", "support": 119504, "support_share": 0.19917333333333334, "support_rank": 3}, {"value_label": "Dog", "support": 104825, "support_share": 0.17470833333333333, "support_rank": 4}, {"value_label": "Cat", "support": 26276, "support_share": 0.04379333333333333, "support_rank": 5}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_79e26891e93428d9/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_79e26891e93428d9/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..1cbb1b7e9b7db1b357d55bc530eec335d86c62d6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_79e26891e93428d9/generated_sql.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c15 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: value_imbalance_profile +-- variant_semantic_role: count_distribution +-- template_id: tpl_cardinality_support_rank_profile +-- query_record_id: v2q_c15_79e26891e93428d9 +-- problem_id: v2p_c15_fe19c3514f44792a +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "nom_2" AS value_label, COUNT(*) AS support + FROM "c15" + GROUP BY "nom_2" +) +SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank +FROM grouped +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_79e26891e93428d9/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_79e26891e93428d9/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ebb920800392a928f5f759f43e377ff6c894356e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_79e26891e93428d9/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_b\n-- sql_source_dataset_id: c15\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: value_imbalance_profile\n-- variant_semantic_role: count_distribution\n-- template_id: tpl_cardinality_support_rank_profile\n-- query_record_id: v2q_c15_79e26891e93428d9\n-- problem_id: v2p_c15_fe19c3514f44792a\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"nom_2\" AS value_label, COUNT(*) AS support\n FROM \"c15\"\n GROUP BY \"nom_2\"\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_b\\n-- sql_source_dataset_id: c15\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: value_imbalance_profile\\n-- variant_semantic_role: count_distribution\\n-- template_id: tpl_cardinality_support_rank_profile\\n-- query_record_id: v2q_c15_79e26891e93428d9\\n-- problem_id: v2p_c15_fe19c3514f44792a\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"nom_2\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"c15\\\"\\n GROUP BY \\\"nom_2\\\"\\n)\\nSELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\\nFROM grouped\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"support_rank\"], \"rows\": [{\"value_label\": \"Hamster\", \"support\": 164897, \"support_share\": 0.27482833333333334, \"support_rank\": 1}, {\"value_label\": \"Axolotl\", \"support\": 152319, \"support_share\": 0.253865, \"support_rank\": 2}, {\"value_label\": \"Lion\", \"support\": 119504, \"support_share\": 0.19917333333333334, \"support_rank\": 3}, {\"value_label\": \"Dog\", \"support\": 104825, \"support_share\": 0.17470833333333333, \"support_rank\": 4}, {\"value_label\": \"Cat\", \"support\": 26276, \"support_share\": 0.04379333333333333, \"support_rank\": 5}, {\"value_label\": \"\", \"support\": 18035, \"support_share\": 0.030058333333333333, \"support_rank\": 6}, {\"value_label\": \"Snake\", \"support\": 14144, \"support_share\": 0.023573333333333335, \"support_rank\": 7}], \"row_count_returned\": 7, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 308.42}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_79e26891e93428d9/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_79e26891e93428d9/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..ca6ce2d9ff1cc691e5cadc06a8eff4d4491c99c5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_79e26891e93428d9/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c15", + "started_at": "2026-05-19T16:13:14.427443+00:00", + "ended_at": "2026-05-19T16:13:14.737338+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c15_79e26891e93428d9", + "problem_id": "v2p_c15_fe19c3514f44792a", + "dataset_id": "c15", + "template_id": "tpl_cardinality_support_rank_profile", + "template_name": "Cardinality Support Rank Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "value_imbalance_profile", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=nom_2.", + "bindings": { + "group_col": "nom_2" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=6", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/sql/v2q_c15_79e26891e93428d9.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_79e26891e93428d9/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_79e26891e93428d9/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_79e26891e93428d9/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7b69c65d51df5e27/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7b69c65d51df5e27/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..34bc831907842ffe3f51f3497a1a4e9913d9c836 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7b69c65d51df5e27/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": "2026-05-19T16:11:14.723350+00:00", + "ended_at": "2026-05-19T16:11:18.726092+00:00", + "elapsed_ms": 4002.7, + "returncode": 1, + "prompt_metrics": { + "chars": 12367, + "bytes_utf8": 12367, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7b69c65d51df5e27/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7b69c65d51df5e27/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..af0a7b01ecf97a8188afcecb5a49ad90229ee76d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7b69c65d51df5e27/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": "2026-05-19T16:11:19.729203+00:00", + "ended_at": "2026-05-19T16:11:22.664172+00:00", + "elapsed_ms": 2934.92, + "returncode": 1, + "prompt_metrics": { + "chars": 12367, + "bytes_utf8": 12367, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7b69c65d51df5e27/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7b69c65d51df5e27/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5a8e1536b889e5fb637492fb14dd65d7c93094ba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7b69c65d51df5e27/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,396 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=nom_3, measure_col=bin_0.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "nom_3", + "measure_col": "bin_0", + "top_k": 14, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.75, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7b69c65d51df5e27/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7b69c65d51df5e27/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..5a8e1536b889e5fb637492fb14dd65d7c93094ba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7b69c65d51df5e27/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,396 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=nom_3, measure_col=bin_0.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "nom_3", + "measure_col": "bin_0", + "top_k": 14, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.75, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7b69c65d51df5e27/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7b69c65d51df5e27/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e0d04e88a1bfd6d63d6cc881b5b7ca6fa12e6304 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7b69c65d51df5e27/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-74be-7380-953c-0264ed1462a5"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7b69c65d51df5e27/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7b69c65d51df5e27/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5a329967d07513e977f0147e32a6e22c3e48bbaa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7b69c65d51df5e27/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-74be-7380-953c-0264ed1462a5"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7b69c65d51df5e27/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7b69c65d51df5e27/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ebff9f37e1435d3278863c53ad8f37502f0f783b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7b69c65d51df5e27/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-886d-7683-9eab-c096572c9e48"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7b69c65d51df5e27/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7b69c65d51df5e27/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..b4de02943b2d056f40e27fb5d9aa4ccf44058040 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7b69c65d51df5e27/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-886d-7683-9eab-c096572c9e48"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7b69c65d51df5e27/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7b69c65d51df5e27/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7b69c65d51df5e27/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7b69c65d51df5e27/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7d20d00dc9b54dd5/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7d20d00dc9b54dd5/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..683df73a43409b9a7f37cabc4bbd70bcf0edd1af --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7d20d00dc9b54dd5/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12589, "bytes_utf8": 12589, "lines": 400, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 431, "bytes_utf8": 431, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16156, "cached_input_tokens": 15744, "output_tokens": 558, "reasoning_output_tokens": 424}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7d20d00dc9b54dd5/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7d20d00dc9b54dd5/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..618a7c880b67ac3f46b3b483c14b2200d2336755 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7d20d00dc9b54dd5/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_7d20d00dc9b54dd5", + "api_calls": 0, + "input_tokens": 16156, + "cached_input_tokens": 15744, + "output_tokens": 558, + "total_tokens": 16714, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14683.66, + "sql_execution_elapsed_ms_total": 174.8, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7d20d00dc9b54dd5/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7d20d00dc9b54dd5/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7d20d00dc9b54dd5/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..36ccd7033875f067e52bca6648ca1349c4c22cce --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7d20d00dc9b54dd5/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": "2026-05-19T15:47:07.242651+00:00", + "ended_at": "2026-05-19T15:47:21.926370+00:00", + "elapsed_ms": 14683.66, + "prompt_metrics": { + "chars": 12589, + "bytes_utf8": 12589, + "lines": 400, + "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": 431, + "bytes_utf8": 431, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16156, + "cached_input_tokens": 15744, + "output_tokens": 558, + "reasoning_output_tokens": 424 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7d20d00dc9b54dd5/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7d20d00dc9b54dd5/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..39f040454918c1cc08fc9267a0887435cb32ebb5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7d20d00dc9b54dd5/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,400 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=bin_3, group_col_2=nom_3.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "bin_3", + "group_col_2": "nom_3", + "predicate_col": "bin_1", + "predicate_op": ">=", + "predicate_value": 0.75, + "top_k": 12, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.75, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7d20d00dc9b54dd5/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7d20d00dc9b54dd5/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..44cf61a8416ab79f01ab8241eca8deb6fd63b216 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7d20d00dc9b54dd5/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40eb-5f06-7222-9ac5-211468959c98"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"bin_3\\\", \\\"nom_3\\\", COUNT(*) AS row_count\\nFROM \\\"c15\\\"\\nWHERE CAST(\\\"bin_1\\\" AS REAL) >= 0.75\\nGROUP BY \\\"bin_3\\\", \\\"nom_3\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Used the planned template with group columns \\\"bin_3\\\" and \\\"nom_3\\\". CAST(\\\"bin_1\\\" AS REAL) is needed because the SQLite schema stores values as TEXT while the predicate compares against numeric 0.75.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16156,"cached_input_tokens":15744,"output_tokens":558,"reasoning_output_tokens":424}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7d20d00dc9b54dd5/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7d20d00dc9b54dd5/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3311f20f69f723f7c9f369946538bdd5dd63f77c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7d20d00dc9b54dd5/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"bin_3\", \"nom_3\", COUNT(*) AS row_count\nFROM \"c15\"\nWHERE CAST(\"bin_1\" AS REAL) >= 0.75\nGROUP BY \"bin_3\", \"nom_3\"\nORDER BY row_count DESC;","notes":"Used the planned template with group columns \"bin_3\" and \"nom_3\". CAST(\"bin_1\" AS REAL) is needed because the SQLite schema stores values as TEXT while the predicate compares against numeric 0.75."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7d20d00dc9b54dd5/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7d20d00dc9b54dd5/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7e924ea54d984b1b/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7e924ea54d984b1b/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..2a007fda2049a0ddee9d82cab2bbfa5e72e4c38c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7e924ea54d984b1b/run_manifest.json @@ -0,0 +1,72 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c15", + "started_at": "2026-05-19T16:05:27.714795+00:00", + "ended_at": "2026-05-19T16:05:35.153934+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c15_7e924ea54d984b1b", + "problem_id": "v2p_c15_7dee0dd15d622986", + "dataset_id": "c15", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=nom_4, condition_col=nom_4.", + "bindings": { + "group_col": "nom_4", + "condition_col": "nom_4", + "condition_value": "Piano", + "positive_value": "Piano", + "negative_value": "Theremin", + "top_k": 14, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.75, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=1/2", + "binding_index=99" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7e924ea54d984b1b/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7e924ea54d984b1b/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..226decda4fd9dfdcb4680e8e7bef573e3a92564e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7e924ea54d984b1b/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:05:30.929655+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3182.92, "started_at": "2026-05-19T16:05:27.745884+00:00", "ended_at": "2026-05-19T16:05:30.928837+00:00", "prompt_metrics": {"chars": 12532, "bytes_utf8": 12532, "lines": 399, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fc-293e-7602-88e6-68b114d3544e\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:05:35.153848+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3221.86, "started_at": "2026-05-19T16:05:31.931272+00:00", "ended_at": "2026-05-19T16:05:35.153166+00:00", "prompt_metrics": {"chars": 12532, "bytes_utf8": 12532, "lines": 399, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fc-399e-73b2-8a53-c756b0289f19\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_813f11fefb6b7de0/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_813f11fefb6b7de0/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..07f8b0508d11b9ec3c072953662c194e59583a76 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_813f11fefb6b7de0/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"bin_0": "0.0", "total_rows": 528377, "missing_rows": 0, "missing_rate": 0.0}, {"bin_0": "1.0", "total_rows": 53729, "missing_rows": 0, "missing_rate": 0.0}, {"bin_0": "", "total_rows": 17894, "missing_rows": 0, "missing_rate": 0.0}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_813f11fefb6b7de0/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_813f11fefb6b7de0/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..e92480478868ffa982348c1293113928539df9eb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_813f11fefb6b7de0/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c15 +-- family_id: missingness_structure +-- canonical_subitem_id: co_missingness_pattern_consistency +-- intended_facet_id: missing_rate_by_subgroup +-- variant_semantic_role: missing_rate_by_subgroup +-- template_id: tpl_missing_rate_by_subgroup +-- query_record_id: v2q_c15_813f11fefb6b7de0 +-- problem_id: v2p_c15_564c648acfa49ee2 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "bin_0", + COUNT(*) AS total_rows, + SUM(CASE WHEN "bin_2" IS NULL THEN 1 ELSE 0 END) AS missing_rows, + AVG(CASE WHEN "bin_2" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate +FROM "c15" +GROUP BY "bin_0" +ORDER BY missing_rate DESC, total_rows DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_813f11fefb6b7de0/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_813f11fefb6b7de0/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5d4e5c7bf3b4087f265b0e195a6c8069f1e35f23 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_813f11fefb6b7de0/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_b\n-- sql_source_dataset_id: c15\n-- family_id: missingness_structure\n-- canonical_subitem_id: co_missingness_pattern_consistency\n-- intended_facet_id: missing_rate_by_subgroup\n-- variant_semantic_role: missing_rate_by_subgroup\n-- template_id: tpl_missing_rate_by_subgroup\n-- query_record_id: v2q_c15_813f11fefb6b7de0\n-- problem_id: v2p_c15_564c648acfa49ee2\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"bin_0\",\n COUNT(*) AS total_rows,\n SUM(CASE WHEN \"bin_2\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN \"bin_2\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM \"c15\"\nGROUP BY \"bin_0\"\nORDER BY missing_rate DESC, total_rows DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_b\\n-- sql_source_dataset_id: c15\\n-- family_id: missingness_structure\\n-- canonical_subitem_id: co_missingness_pattern_consistency\\n-- intended_facet_id: missing_rate_by_subgroup\\n-- variant_semantic_role: missing_rate_by_subgroup\\n-- template_id: tpl_missing_rate_by_subgroup\\n-- query_record_id: v2q_c15_813f11fefb6b7de0\\n-- problem_id: v2p_c15_564c648acfa49ee2\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"bin_0\\\",\\n COUNT(*) AS total_rows,\\n SUM(CASE WHEN \\\"bin_2\\\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\\n AVG(CASE WHEN \\\"bin_2\\\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\\nFROM \\\"c15\\\"\\nGROUP BY \\\"bin_0\\\"\\nORDER BY missing_rate DESC, total_rows DESC;\", \"columns\": [\"bin_0\", \"total_rows\", \"missing_rows\", \"missing_rate\"], \"rows\": [{\"bin_0\": \"0.0\", \"total_rows\": 528377, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"bin_0\": \"1.0\", \"total_rows\": 53729, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"bin_0\": \"\", \"total_rows\": 17894, \"missing_rows\": 0, \"missing_rate\": 0.0}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 338.26}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_813f11fefb6b7de0/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_813f11fefb6b7de0/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..fe7123a873dca279b5776cb02076eea1f8b8092c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_813f11fefb6b7de0/run_manifest.json @@ -0,0 +1,59 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c15", + "started_at": "2026-05-19T16:13:01.906201+00:00", + "ended_at": "2026-05-19T16:13:02.245833+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c15_813f11fefb6b7de0", + "problem_id": "v2p_c15_564c648acfa49ee2", + "dataset_id": "c15", + "template_id": "tpl_missing_rate_by_subgroup", + "template_name": "Missing Rate by Subgroup", + "family_id": "missingness_structure", + "canonical_subitem_id": "co_missingness_pattern_consistency", + "intended_facet_id": "missing_rate_by_subgroup", + "variant_semantic_role": "missing_rate_by_subgroup", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": false, + "question": "Use template Missing Rate by Subgroup to probe co_missingness_pattern_consistency with semantic role missing_rate_by_subgroup. Focus on group_col=bin_0, missing_col=bin_2.", + "bindings": { + "missing_col": "bin_2", + "group_col": "bin_0" + }, + "binding_roles": [ + "missing_col", + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS total_rows,\n SUM(CASE WHEN {missing_col} IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN {missing_col} IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY missing_rate DESC, total_rows DESC;", + "notes": [ + "default_facets=missing_rate_by_subgroup,missing_target_interaction", + "template_selection_mode=deterministic", + "problem_index_within_template=2", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/sql/v2q_c15_813f11fefb6b7de0.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_813f11fefb6b7de0/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_813f11fefb6b7de0/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_813f11fefb6b7de0/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8263b9cdbc4271f0/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8263b9cdbc4271f0/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..eeae6604c178e9ea7e8fd97cd4193a2b4ed0b72f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8263b9cdbc4271f0/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=day, measure_col=day. +Result preview: [{"day": "4.0", "nom_6": "bacb39773", "total_measure": 176.0, "share_within_group": 0.191512513601741}, {"day": "4.0", "nom_6": "9ad7eaa26", "total_measure": 172.0, "share_within_group": 0.18715995647442873}, {"day": "4.0", "nom_6": "e4c79527a", "total_measure": 172.0, "share_within_group": 0.18715995647442873}, {"day": "4.0", "nom_6": "add65af59", "total_measure": 164.0, "share_within_group": 0.17845484221980412}, {"day": "4.0", "nom_6": "1fb51da5e", "total_measure": 160.0, "share_within_group": 0.17410228509249184}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8263b9cdbc4271f0/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8263b9cdbc4271f0/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..84776ff3cc6fdf96f568b2edf202f966223e5096 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8263b9cdbc4271f0/generated_sql.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c15 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: focused_target_view +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_c15_8263b9cdbc4271f0 +-- problem_id: v2p_c15_60fed9b16f93f128 +-- realization_mode: agent +-- source_kind: agent +SELECT + "day", + "nom_6", + SUM(CAST(NULLIF("day", '') AS REAL)) AS total_measure, + SUM(CAST(NULLIF("day", '') AS REAL)) * 100.0 / SUM(SUM(CAST(NULLIF("day", '') AS REAL))) OVER (PARTITION BY "day") AS share_within_group +FROM "c15" +WHERE NULLIF("day", '') IS NOT NULL + AND NULLIF("nom_6", '') IS NOT NULL +GROUP BY "day", "nom_6" +ORDER BY share_within_group DESC +LIMIT 13; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8263b9cdbc4271f0/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8263b9cdbc4271f0/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..69fbf9a16b0f95c823c67a112a10736d7ca1ab24 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8263b9cdbc4271f0/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"day\",\n \"nom_6\",\n SUM(CAST(NULLIF(\"day\", '') AS REAL)) AS total_measure,\n SUM(CAST(NULLIF(\"day\", '') AS REAL)) * 100.0 / SUM(SUM(CAST(NULLIF(\"day\", '') AS REAL))) OVER (PARTITION BY \"day\") AS share_within_group\nFROM \"c15\"\nWHERE NULLIF(\"day\", '') IS NOT NULL\n AND NULLIF(\"nom_6\", '') IS NOT NULL\nGROUP BY \"day\", \"nom_6\"\nORDER BY share_within_group DESC\nLIMIT 13;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"day\\\",\\n \\\"nom_6\\\",\\n SUM(CAST(NULLIF(\\\"day\\\", '') AS REAL)) AS total_measure,\\n SUM(CAST(NULLIF(\\\"day\\\", '') AS REAL)) * 100.0 / SUM(SUM(CAST(NULLIF(\\\"day\\\", '') AS REAL))) OVER (PARTITION BY \\\"day\\\") AS share_within_group\\nFROM \\\"c15\\\"\\nWHERE NULLIF(\\\"day\\\", '') IS NOT NULL\\n AND NULLIF(\\\"nom_6\\\", '') IS NOT NULL\\nGROUP BY \\\"day\\\", \\\"nom_6\\\"\\nORDER BY share_within_group DESC\\nLIMIT 13;\", \"columns\": [\"day\", \"nom_6\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"day\": \"4.0\", \"nom_6\": \"bacb39773\", \"total_measure\": 176.0, \"share_within_group\": 0.191512513601741}, {\"day\": \"4.0\", \"nom_6\": \"9ad7eaa26\", \"total_measure\": 172.0, \"share_within_group\": 0.18715995647442873}, {\"day\": \"4.0\", \"nom_6\": \"e4c79527a\", \"total_measure\": 172.0, \"share_within_group\": 0.18715995647442873}, {\"day\": \"4.0\", \"nom_6\": \"add65af59\", \"total_measure\": 164.0, \"share_within_group\": 0.17845484221980412}, {\"day\": \"4.0\", \"nom_6\": \"1fb51da5e\", \"total_measure\": 160.0, \"share_within_group\": 0.17410228509249184}, {\"day\": \"4.0\", \"nom_6\": \"020b0e75a\", \"total_measure\": 156.0, \"share_within_group\": 0.16974972796517954}, {\"day\": \"4.0\", \"nom_6\": \"5afc91042\", \"total_measure\": 156.0, \"share_within_group\": 0.16974972796517954}, {\"day\": \"4.0\", \"nom_6\": \"881f80fef\", \"total_measure\": 156.0, \"share_within_group\": 0.16974972796517954}, {\"day\": \"4.0\", \"nom_6\": \"c9cde7633\", \"total_measure\": 156.0, \"share_within_group\": 0.16974972796517954}, {\"day\": \"4.0\", \"nom_6\": \"d61781d05\", \"total_measure\": 156.0, \"share_within_group\": 0.16974972796517954}, {\"day\": \"4.0\", \"nom_6\": \"74b50abd6\", \"total_measure\": 152.0, \"share_within_group\": 0.16539717083786726}, {\"day\": \"4.0\", \"nom_6\": \"eb7f67449\", \"total_measure\": 152.0, \"share_within_group\": 0.16539717083786726}, {\"day\": \"1.0\", \"nom_6\": \"d7395777b\", \"total_measure\": 135.0, \"share_within_group\": 0.16444363237712406}], \"row_count_returned\": 13, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 710.83}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8263b9cdbc4271f0/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8263b9cdbc4271f0/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..9a48df255d2af81699897f65419fb9ff0169f2b3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8263b9cdbc4271f0/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c15", + "started_at": "2026-05-19T15:42:03.790140+00:00", + "ended_at": "2026-05-19T15:42:20.944121+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c15_8263b9cdbc4271f0", + "problem_id": "v2p_c15_60fed9b16f93f128", + "dataset_id": "c15", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=day, measure_col=day.", + "bindings": { + "group_col": "day", + "measure_col": "day", + "item_col": "nom_6", + "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": 6.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=10", + "sql_variant_index=1/2", + "binding_index=33" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 10, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/sql/v2q_c15_8263b9cdbc4271f0.sql", + "usage_summary": { + "dataset_id": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_8263b9cdbc4271f0", + "api_calls": 0, + "input_tokens": 16171, + "cached_input_tokens": 12032, + "output_tokens": 970, + "total_tokens": 17141, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 16407.89, + "sql_execution_elapsed_ms_total": 710.83, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8263b9cdbc4271f0/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8263b9cdbc4271f0/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8263b9cdbc4271f0/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2f032fc14441bb95e028e2e383943ede7f4401d6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8263b9cdbc4271f0/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:42:20.231091+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 16407.89, "started_at": "2026-05-19T15:42:03.821916+00:00", "ended_at": "2026-05-19T15:42:20.229838+00:00", "prompt_metrics": {"chars": 12674, "bytes_utf8": 12674, "lines": 398, "estimated_tokens": null}, "response_metrics": {"chars": 675, "bytes_utf8": 675, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16171, "cached_input_tokens": 12032, "output_tokens": 970, "reasoning_output_tokens": 760}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"day\\\",\\n \\\"nom_6\\\",\\n SUM(CAST(NULLIF(\\\"day\\\", '') AS REAL)) AS total_measure,\\n SUM(CAST(NULLIF(\\\"day\\\", '') AS REAL)) * 100.0 / SUM(SUM(CAST(NULLIF(\\\"day\\\", '') AS REAL))) OVER (PARTITION BY \\\"day\\\") AS share_within_group\\nFROM \\\"c15\\\"\\nWHERE NULLIF(\\\"day\\\", '') IS NOT NULL\\n AND NULLIF(\\\"nom_6\\\", '') IS NOT NULL\\nGROUP BY \\\"day\\\", \\\"nom_6\\\"\\nORDER BY share_within_group DESC\\nLIMIT 13;\",\"notes\":\"Used the requested template with group_col=\\\"day\\\", item_col=\\\"nom_6\\\", and measure_col=\\\"day\\\". Blank \\\"day\\\" and \\\"nom_6\\\" values are excluded, and \\\"day\\\" is cast to REAL for SQLite-safe aggregation.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8263b9cdbc4271f0/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8263b9cdbc4271f0/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..f7f108df22774075f2e1746b8c173ce5b24f5ed1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8263b9cdbc4271f0/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_8263b9cdbc4271f0", + "api_calls": 0, + "input_tokens": 16171, + "cached_input_tokens": 12032, + "output_tokens": 970, + "total_tokens": 17141, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 16407.89, + "sql_execution_elapsed_ms_total": 710.83, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8263b9cdbc4271f0/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_82ef419d65866955/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_82ef419d65866955/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..625ae9bffb3835a861f616e6f4c7a5ca865347cb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_82ef419d65866955/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=ord_2, measure_col=bin_1. +Result preview: [{"ord_2": "", "ord_5": "", "total_measure": 112.0, "share_within_group": 3.389830508474576}, {"ord_2": "Cold", "ord_5": "", "total_measure": 547.0, "share_within_group": 3.1309026386583483}, {"ord_2": "Boiling Hot", "ord_5": "", "total_measure": 474.0, "share_within_group": 3.1108485922425673}, {"ord_2": "Lava Hot", "ord_5": "", "total_measure": 363.0, "share_within_group": 3.085422864428389}, {"ord_2": "Warm", "ord_5": "", "total_measure": 666.0, "share_within_group": 2.968178982083965}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_82ef419d65866955/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_82ef419d65866955/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..25c2ce80f868c7d6be8fc891ab63638e50662d17 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_82ef419d65866955/generated_sql.sql @@ -0,0 +1,22 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c15 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: focused_target_view +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_c15_82ef419d65866955 +-- problem_id: v2p_c15_876c51948d5efeec +-- realization_mode: agent +-- source_kind: agent +SELECT + "ord_2", + "ord_5", + SUM(CAST(NULLIF("bin_1", '') AS REAL)) AS total_measure, + SUM(CAST(NULLIF("bin_1", '') AS REAL)) * 100.0 + / SUM(SUM(CAST(NULLIF("bin_1", '') AS REAL))) OVER (PARTITION BY "ord_2") AS share_within_group +FROM "c15" +GROUP BY "ord_2", "ord_5" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_82ef419d65866955/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_82ef419d65866955/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..38205257e5ddfd835b402a8156c037fd08bee298 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_82ef419d65866955/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"ord_2\",\n \"ord_5\",\n SUM(CAST(NULLIF(\"bin_1\", '') AS REAL)) AS total_measure,\n SUM(CAST(NULLIF(\"bin_1\", '') AS REAL)) * 100.0\n / SUM(SUM(CAST(NULLIF(\"bin_1\", '') AS REAL))) OVER (PARTITION BY \"ord_2\") AS share_within_group\nFROM \"c15\"\nGROUP BY \"ord_2\", \"ord_5\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"ord_2\\\",\\n \\\"ord_5\\\",\\n SUM(CAST(NULLIF(\\\"bin_1\\\", '') AS REAL)) AS total_measure,\\n SUM(CAST(NULLIF(\\\"bin_1\\\", '') AS REAL)) * 100.0\\n / SUM(SUM(CAST(NULLIF(\\\"bin_1\\\", '') AS REAL))) OVER (PARTITION BY \\\"ord_2\\\") AS share_within_group\\nFROM \\\"c15\\\"\\nGROUP BY \\\"ord_2\\\", \\\"ord_5\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"ord_2\", \"ord_5\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"ord_2\": \"\", \"ord_5\": \"\", \"total_measure\": 112.0, \"share_within_group\": 3.389830508474576}, {\"ord_2\": \"Cold\", \"ord_5\": \"\", \"total_measure\": 547.0, \"share_within_group\": 3.1309026386583483}, {\"ord_2\": \"Boiling Hot\", \"ord_5\": \"\", \"total_measure\": 474.0, \"share_within_group\": 3.1108485922425673}, {\"ord_2\": \"Lava Hot\", \"ord_5\": \"\", \"total_measure\": 363.0, \"share_within_group\": 3.085422864428389}, {\"ord_2\": \"Warm\", \"ord_5\": \"\", \"total_measure\": 666.0, \"share_within_group\": 2.968178982083965}, {\"ord_2\": \"Hot\", \"ord_5\": \"\", \"total_measure\": 346.0, \"share_within_group\": 2.853137626783211}, {\"ord_2\": \"Freezing\", \"ord_5\": \"\", \"total_measure\": 697.0, \"share_within_group\": 2.7187268401138978}, {\"ord_2\": \"Lava Hot\", \"ord_5\": \"Fl\", \"total_measure\": 209.0, \"share_within_group\": 1.7764555886102849}, {\"ord_2\": \"Cold\", \"ord_5\": \"DN\", \"total_measure\": 301.0, \"share_within_group\": 1.722855016885124}, {\"ord_2\": \"Warm\", \"ord_5\": \"Fl\", \"total_measure\": 383.0, \"share_within_group\": 1.7069257509581959}, {\"ord_2\": \"Boiling Hot\", \"ord_5\": \"DN\", \"total_measure\": 260.0, \"share_within_group\": 1.7063726455338977}, {\"ord_2\": \"Boiling Hot\", \"ord_5\": \"Fl\", \"total_measure\": 257.0, \"share_within_group\": 1.686683730393122}, {\"ord_2\": \"Cold\", \"ord_5\": \"Sz\", \"total_measure\": 292.0, \"share_within_group\": 1.6713410795031767}, {\"ord_2\": \"Freezing\", \"ord_5\": \"Fl\", \"total_measure\": 428.0, \"share_within_group\": 1.6694621055505714}, {\"ord_2\": \"Cold\", \"ord_5\": \"Fl\", \"total_measure\": 291.0, \"share_within_group\": 1.6656173086829604}, {\"ord_2\": \"Hot\", \"ord_5\": \"Fl\", \"total_measure\": 199.0, \"share_within_group\": 1.640966438525604}, {\"ord_2\": \"Freezing\", \"ord_5\": \"DN\", \"total_measure\": 416.0, \"share_within_group\": 1.622654756796817}, {\"ord_2\": \"Lava Hot\", \"ord_5\": \"DN\", \"total_measure\": 188.0, \"share_within_group\": 1.597960050998725}, {\"ord_2\": \"Warm\", \"ord_5\": \"DN\", \"total_measure\": 343.0, \"share_within_group\": 1.5286567430252251}, {\"ord_2\": \"\", \"ord_5\": \"Fl\", \"total_measure\": 50.0, \"share_within_group\": 1.513317191283293}, {\"ord_2\": \"Freezing\", \"ord_5\": \"Sz\", \"total_measure\": 387.0, \"share_within_group\": 1.5095369973085775}, {\"ord_2\": \"Hot\", \"ord_5\": \"Sz\", \"total_measure\": 183.0, \"share_within_group\": 1.5090294384431433}, {\"ord_2\": \"\", \"ord_5\": \"Sz\", \"total_measure\": 49.0, \"share_within_group\": 1.4830508474576272}, {\"ord_2\": \"Lava Hot\", \"ord_5\": \"Sz\", \"total_measure\": 174.0, \"share_within_group\": 1.4789630259243518}, {\"ord_2\": \"Warm\", \"ord_5\": \"Sz\", \"total_measure\": 331.0, \"share_within_group\": 1.4751760406453338}, {\"ord_2\": \"Hot\", \"ord_5\": \"DN\", \"total_measure\": 175.0, \"share_within_group\": 1.443060938401913}, {\"ord_2\": \"Boiling Hot\", \"ord_5\": \"Sz\", \"total_measure\": 208.0, \"share_within_group\": 1.365098116427118}, {\"ord_2\": \"\", \"ord_5\": \"DN\", \"total_measure\": 39.0, \"share_within_group\": 1.1803874092009685}, {\"ord_2\": \"Boiling Hot\", \"ord_5\": \"mo\", \"total_measure\": 174.0, \"share_within_group\": 1.141957078164993}, {\"ord_2\": \"\", \"ord_5\": \"hG\", \"total_measure\": 37.0, \"share_within_group\": 1.1198547215496368}, {\"ord_2\": \"\", \"ord_5\": \"vq\", \"total_measure\": 37.0, \"share_within_group\": 1.1198547215496368}, {\"ord_2\": \"Warm\", \"ord_5\": \"DR\", \"total_measure\": 246.0, \"share_within_group\": 1.0963543987877709}, {\"ord_2\": \"Cold\", \"ord_5\": \"WW\", \"total_measure\": 189.0, \"share_within_group\": 1.0817926850208917}, {\"ord_2\": \"\", \"ord_5\": \"AG\", \"total_measure\": 35.0, \"share_within_group\": 1.0593220338983051}, {\"ord_2\": \"\", \"ord_5\": \"DR\", \"total_measure\": 35.0, \"share_within_group\": 1.0593220338983051}, {\"ord_2\": \"\", \"ord_5\": \"zc\", \"total_measure\": 35.0, \"share_within_group\": 1.0593220338983051}, {\"ord_2\": \"Lava Hot\", \"ord_5\": \"tn\", \"total_measure\": 124.0, \"share_within_group\": 1.0539736506587336}, {\"ord_2\": \"Boiling Hot\", \"ord_5\": \"pB\", \"total_measure\": 159.0, \"share_within_group\": 1.0435125024611145}, {\"ord_2\": \"Lava Hot\", \"ord_5\": \"TZ\", \"total_measure\": 122.0, \"share_within_group\": 1.0369740756481087}, {\"ord_2\": \"\", \"ord_5\": \"mo\", \"total_measure\": 34.0, \"share_within_group\": 1.0290556900726393}, {\"ord_2\": \"\", \"ord_5\": \"tn\", \"total_measure\": 34.0, \"share_within_group\": 1.0290556900726393}, {\"ord_2\": \"Lava Hot\", \"ord_5\": \"GZ\", \"total_measure\": 120.0, \"share_within_group\": 1.019974500637484}, {\"ord_2\": \"Warm\", \"ord_5\": \"Ib\", \"total_measure\": 227.0, \"share_within_group\": 1.0116766200196097}, {\"ord_2\": \"Hot\", \"ord_5\": \"vx\", \"total_measure\": 122.0, \"share_within_group\": 1.0060196256287623}, {\"ord_2\": \"Freezing\", \"ord_5\": \"oJ\", \"total_measure\": 257.0, \"share_within_group\": 1.002457385809572}, {\"ord_2\": \"Cold\", \"ord_5\": \"vq\", \"total_measure\": 175.0, \"share_within_group\": 1.0016598935378627}, {\"ord_2\": \"\", \"ord_5\": \"Ib\", \"total_measure\": 33.0, \"share_within_group\": 0.9987893462469734}, {\"ord_2\": \"\", \"ord_5\": \"gc\", \"total_measure\": 33.0, \"share_within_group\": 0.9987893462469734}, {\"ord_2\": \"\", \"ord_5\": \"vx\", \"total_measure\": 33.0, \"share_within_group\": 0.9987893462469734}, {\"ord_2\": \"Boiling Hot\", \"ord_5\": \"GZ\", \"total_measure\": 152.0, \"share_within_group\": 0.997571700465971}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 790.36}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_82ef419d65866955/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_82ef419d65866955/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..5ea2e9409702a38eaab0c2eb2bfbc2f739e2310a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_82ef419d65866955/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c15", + "started_at": "2026-05-19T15:39:59.946691+00:00", + "ended_at": "2026-05-19T15:40:15.379671+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c15_82ef419d65866955", + "problem_id": "v2p_c15_876c51948d5efeec", + "dataset_id": "c15", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=ord_2, measure_col=bin_1.", + "bindings": { + "group_col": "ord_2", + "measure_col": "bin_1", + "item_col": "ord_5", + "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": 0.66, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=7", + "sql_variant_index=2/2", + "binding_index=30" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 7, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/sql/v2q_c15_82ef419d65866955.sql", + "usage_summary": { + "dataset_id": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_82ef419d65866955", + "api_calls": 0, + "input_tokens": 16179, + "cached_input_tokens": 12032, + "output_tokens": 725, + "total_tokens": 16904, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14603.05, + "sql_execution_elapsed_ms_total": 790.36, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_82ef419d65866955/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_82ef419d65866955/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_82ef419d65866955/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a5a6c42319d541a5e055a1554051e466d1449e53 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_82ef419d65866955/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:40:14.584632+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 14603.05, "started_at": "2026-05-19T15:39:59.979916+00:00", "ended_at": "2026-05-19T15:40:14.583106+00:00", "prompt_metrics": {"chars": 12685, "bytes_utf8": 12685, "lines": 398, "estimated_tokens": null}, "response_metrics": {"chars": 670, "bytes_utf8": 670, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16179, "cached_input_tokens": 12032, "output_tokens": 725, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"ord_2\\\",\\n \\\"ord_5\\\",\\n SUM(CAST(NULLIF(\\\"bin_1\\\", '') AS REAL)) AS total_measure,\\n SUM(CAST(NULLIF(\\\"bin_1\\\", '') AS REAL)) * 100.0\\n / SUM(SUM(CAST(NULLIF(\\\"bin_1\\\", '') AS REAL))) OVER (PARTITION BY \\\"ord_2\\\") AS share_within_group\\nFROM \\\"c15\\\"\\nGROUP BY \\\"ord_2\\\", \\\"ord_5\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the provided Within-Group Share of Total template with group_col=\\\"ord_2\\\", item_col=\\\"ord_5\\\", and measure_col=\\\"bin_1\\\". Used CAST(NULLIF(\\\"bin_1\\\", '') AS REAL) so SQLite sums numeric text values and treats empty strings as missing rather than zero-like text.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_82ef419d65866955/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_82ef419d65866955/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a8d3307b0ef1cef722f310e7cd2cb3d63c9f4c03 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_82ef419d65866955/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_82ef419d65866955", + "api_calls": 0, + "input_tokens": 16179, + "cached_input_tokens": 12032, + "output_tokens": 725, + "total_tokens": 16904, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14603.05, + "sql_execution_elapsed_ms_total": 790.36, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_82ef419d65866955/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_84e1caa2cb118fd1/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_84e1caa2cb118fd1/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f08cf52c3f37db5b36aa1555fc0c364dbca61539 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_84e1caa2cb118fd1/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12283, "bytes_utf8": 12283, "lines": 396, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 303, "bytes_utf8": 303, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16060, "cached_input_tokens": 12032, "output_tokens": 613, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_84e1caa2cb118fd1/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_84e1caa2cb118fd1/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..b579b36fba79053c41f5027c455223d58e4a01bf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_84e1caa2cb118fd1/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_84e1caa2cb118fd1", + "api_calls": 0, + "input_tokens": 16060, + "cached_input_tokens": 12032, + "output_tokens": 613, + "total_tokens": 16673, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 22891.68, + "sql_execution_elapsed_ms_total": 311.56, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_84e1caa2cb118fd1/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_84e1caa2cb118fd1/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_84e1caa2cb118fd1/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..479c5b3484f60e9919ecfc3835e581d05a112467 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_84e1caa2cb118fd1/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": "2026-05-19T15:29:35.052585+00:00", + "ended_at": "2026-05-19T15:29:57.944301+00:00", + "elapsed_ms": 22891.68, + "prompt_metrics": { + "chars": 12283, + "bytes_utf8": 12283, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1667, + "bytes_utf8": 1667, + "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": 303, + "bytes_utf8": 303, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16060, + "cached_input_tokens": 12032, + "output_tokens": 613, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_84e1caa2cb118fd1/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_84e1caa2cb118fd1/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b933e73c7157c4d0c86bf443a9913fbabcd4c2d8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_84e1caa2cb118fd1/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,396 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=bin_3, measure_col=bin_2.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "bin_3", + "measure_col": "bin_2", + "top_k": 18, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.66, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_84e1caa2cb118fd1/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_84e1caa2cb118fd1/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..3549dededc4f967a305d42afe81b0f2d3a1dd06a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_84e1caa2cb118fd1/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,7 @@ +{"type":"thread.started","thread_id":"019e40db-5043-78c3-966f-34205509c4d9"} +{"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 16695. Please try again in 500ms. 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 1987267, Requested 16695. Please try again in 118ms. 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 1986462, Requested 16695. Please try again in 94ms. 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 \\\"bin_3\\\", SUM(\\\"bin_2\\\") AS \\\"total_measure\\\"\\nFROM \\\"c15\\\"\\nGROUP BY \\\"bin_3\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Uses the provided Grouped Numeric Sum template with group_col=\\\"bin_3\\\" and measure_col=\\\"bin_2\\\" on the single table \\\"c15\\\".\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16060,"cached_input_tokens":12032,"output_tokens":613,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_84e1caa2cb118fd1/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_84e1caa2cb118fd1/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c3af2431e43b557e0bd262770c1cea727727ce07 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_84e1caa2cb118fd1/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"bin_3\", SUM(\"bin_2\") AS \"total_measure\"\nFROM \"c15\"\nGROUP BY \"bin_3\"\nORDER BY \"total_measure\" DESC;","notes":"Uses the provided Grouped Numeric Sum template with group_col=\"bin_3\" and measure_col=\"bin_2\" on the single table \"c15\"."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_84e1caa2cb118fd1/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_84e1caa2cb118fd1/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_89d4016202f6452b/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_89d4016202f6452b/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..46a725e8cb4d27bcad1c81f0c54243d00be0f7cf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_89d4016202f6452b/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"total_rows": 600000, "missing_rows": 0, "missing_rate": 0.0}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_89d4016202f6452b/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_89d4016202f6452b/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..bcea1978dda8d97856867a6891b49d15e2fd1a23 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_89d4016202f6452b/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c15 +-- family_id: missingness_structure +-- canonical_subitem_id: marginal_missing_rate_consistency +-- intended_facet_id: missing_indicator_distribution +-- variant_semantic_role: missing_indicator_view +-- template_id: tpl_missing_marginal_rate_profile +-- query_record_id: v2q_c15_89d4016202f6452b +-- problem_id: v2p_c15_f8b10d0b40a55866 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + COUNT(*) AS total_rows, + SUM(CASE WHEN "ord_2" IS NULL THEN 1 ELSE 0 END) AS missing_rows, + AVG(CASE WHEN "ord_2" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate +FROM "c15"; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_89d4016202f6452b/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_89d4016202f6452b/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1b40f6277f025f7e71d86cf6dc8dc0f5baad96fa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_89d4016202f6452b/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_b\n-- sql_source_dataset_id: c15\n-- family_id: missingness_structure\n-- canonical_subitem_id: marginal_missing_rate_consistency\n-- intended_facet_id: missing_indicator_distribution\n-- variant_semantic_role: missing_indicator_view\n-- template_id: tpl_missing_marginal_rate_profile\n-- query_record_id: v2q_c15_89d4016202f6452b\n-- problem_id: v2p_c15_f8b10d0b40a55866\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n COUNT(*) AS total_rows,\n SUM(CASE WHEN \"ord_2\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN \"ord_2\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM \"c15\";", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_b\\n-- sql_source_dataset_id: c15\\n-- family_id: missingness_structure\\n-- canonical_subitem_id: marginal_missing_rate_consistency\\n-- intended_facet_id: missing_indicator_distribution\\n-- variant_semantic_role: missing_indicator_view\\n-- template_id: tpl_missing_marginal_rate_profile\\n-- query_record_id: v2q_c15_89d4016202f6452b\\n-- problem_id: v2p_c15_f8b10d0b40a55866\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n COUNT(*) AS total_rows,\\n SUM(CASE WHEN \\\"ord_2\\\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\\n AVG(CASE WHEN \\\"ord_2\\\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\\nFROM \\\"c15\\\";\", \"columns\": [\"total_rows\", \"missing_rows\", \"missing_rate\"], \"rows\": [{\"total_rows\": 600000, \"missing_rows\": 0, \"missing_rate\": 0.0}], \"row_count_returned\": 1, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 120.07}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_89d4016202f6452b/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_89d4016202f6452b/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..67ba04afecdde447ca2287467792d089ae6a3c77 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_89d4016202f6452b/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c15", + "started_at": "2026-05-19T16:13:01.230354+00:00", + "ended_at": "2026-05-19T16:13:01.351631+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c15_89d4016202f6452b", + "problem_id": "v2p_c15_f8b10d0b40a55866", + "dataset_id": "c15", + "template_id": "tpl_missing_marginal_rate_profile", + "template_name": "Marginal Missing Rate Profile", + "family_id": "missingness_structure", + "canonical_subitem_id": "marginal_missing_rate_consistency", + "intended_facet_id": "missing_indicator_distribution", + "variant_semantic_role": "missing_indicator_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": false, + "question": "Use template Marginal Missing Rate Profile to probe marginal_missing_rate_consistency with semantic role missing_indicator_view. Focus on missing_col=ord_2.", + "bindings": { + "missing_col": "ord_2" + }, + "binding_roles": [ + "missing_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n COUNT(*) AS total_rows,\n SUM(CASE WHEN {missing_col} IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN {missing_col} IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM {table};", + "notes": [ + "default_facets=missing_indicator_distribution", + "template_selection_mode=deterministic", + "problem_index_within_template=10", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 10, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/sql/v2q_c15_89d4016202f6452b.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_89d4016202f6452b/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_89d4016202f6452b/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_89d4016202f6452b/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8c0ffce4fe020e5c/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8c0ffce4fe020e5c/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..84f4ee40bce6f41f24bd13f1fb81ce4bc8c082c2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8c0ffce4fe020e5c/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": "2026-05-19T16:10:28.427477+00:00", + "ended_at": "2026-05-19T16:10:31.608657+00:00", + "elapsed_ms": 3181.15, + "returncode": 1, + "prompt_metrics": { + "chars": 12276, + "bytes_utf8": 12276, + "lines": 394, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8c0ffce4fe020e5c/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8c0ffce4fe020e5c/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..836cf4f61ba3574f8a5734ee226f5d51e9bf34eb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8c0ffce4fe020e5c/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": "2026-05-19T16:10:32.610301+00:00", + "ended_at": "2026-05-19T16:10:35.745071+00:00", + "elapsed_ms": 3134.74, + "returncode": 1, + "prompt_metrics": { + "chars": 12276, + "bytes_utf8": 12276, + "lines": 394, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8c0ffce4fe020e5c/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8c0ffce4fe020e5c/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..af91063dec9f515c1824cdc87026e0cc3606a42e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8c0ffce4fe020e5c/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,394 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=bin_1.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "bin_1", + "top_k": 12, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.75, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8c0ffce4fe020e5c/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8c0ffce4fe020e5c/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..af91063dec9f515c1824cdc87026e0cc3606a42e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8c0ffce4fe020e5c/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,394 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=bin_1.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "bin_1", + "top_k": 12, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.75, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8c0ffce4fe020e5c/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8c0ffce4fe020e5c/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..98384e04d084079817a16b2da38de9e6326d3d82 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8c0ffce4fe020e5c/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-bfc2-7912-9f3f-27abb4e05385"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8c0ffce4fe020e5c/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8c0ffce4fe020e5c/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0e7d849d3d47e6598bb9439e7a680f3e49c24bbd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8c0ffce4fe020e5c/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-bfc2-7912-9f3f-27abb4e05385"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8c0ffce4fe020e5c/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8c0ffce4fe020e5c/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..3f1018b9a5caa9c047f9bcc582a0b8c8150e5628 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8c0ffce4fe020e5c/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-d01d-70e0-9fb9-19a2c3ba5f80"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8c0ffce4fe020e5c/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8c0ffce4fe020e5c/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..0cd9097cd0c4767b08c6fd6956debae86eec9051 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8c0ffce4fe020e5c/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-d01d-70e0-9fb9-19a2c3ba5f80"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8c0ffce4fe020e5c/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8c0ffce4fe020e5c/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8c0ffce4fe020e5c/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8c0ffce4fe020e5c/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8f27941aec612b04/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8f27941aec612b04/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..64e8feef0316f823ce138d3f41f646edd058ebc7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8f27941aec612b04/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12838, "bytes_utf8": 12838, "lines": 396, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 846, "bytes_utf8": 846, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16194, "cached_input_tokens": 14720, "output_tokens": 771, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8f27941aec612b04/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8f27941aec612b04/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..ab57b7e47295b950ea4a81b4fc9d5025da21afc7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8f27941aec612b04/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_8f27941aec612b04", + "api_calls": 0, + "input_tokens": 16194, + "cached_input_tokens": 14720, + "output_tokens": 771, + "total_tokens": 16965, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14309.55, + "sql_execution_elapsed_ms_total": 339.69, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8f27941aec612b04/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8f27941aec612b04/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8f27941aec612b04/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4c74542964c539670533c4960befed58df87ef21 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8f27941aec612b04/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": "2026-05-19T15:53:02.881690+00:00", + "ended_at": "2026-05-19T15:53:17.191274+00:00", + "elapsed_ms": 14309.55, + "prompt_metrics": { + "chars": 12838, + "bytes_utf8": 12838, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1290, + "bytes_utf8": 1290, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 846, + "bytes_utf8": 846, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16194, + "cached_input_tokens": 14720, + "output_tokens": 771, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8f27941aec612b04/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8f27941aec612b04/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7836d7ba883b505bdcbeef627913be08d8b720b5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8f27941aec612b04/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,396 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=bin_4, measure_col=month.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "bin_4", + "measure_col": "month", + "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": 7.92, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8f27941aec612b04/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8f27941aec612b04/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..1e9c521ea82f87ebec713a30346406e48142306a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8f27941aec612b04/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f0-cbd3-73d2-9994-590574af6f5b"} +{"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 \\\"bin_4\\\",\\n SUM(CAST(\\\"month\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"c15\\\"\\n WHERE \\\"bin_4\\\" IS NOT NULL\\n AND \\\"bin_4\\\" <> ''\\n AND \\\"month\\\" IS NOT NULL\\n AND \\\"month\\\" <> ''\\n GROUP BY \\\"bin_4\\\"\\n),\\n\\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT\\n g.\\\"bin_4\\\",\\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 requested template with group_col=\\\"bin_4\\\" and measure_col=\\\"month\\\". Empty-string and NULL values are filtered out for a stable grouped view, and \\\"month\\\" is cast to REAL because the schema stores it as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16194,"cached_input_tokens":14720,"output_tokens":771,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8f27941aec612b04/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8f27941aec612b04/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b69e4b10d9f3b969c33a9b425d90ecfbbf11f208 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8f27941aec612b04/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH \"grouped\" AS (\n SELECT\n \"bin_4\",\n SUM(CAST(\"month\" AS REAL)) AS \"group_value\"\n FROM \"c15\"\n WHERE \"bin_4\" IS NOT NULL\n AND \"bin_4\" <> ''\n AND \"month\" IS NOT NULL\n AND \"month\" <> ''\n GROUP BY \"bin_4\"\n),\n\"total\" AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM \"grouped\"\n)\nSELECT\n g.\"bin_4\",\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 requested template with group_col=\"bin_4\" and measure_col=\"month\". Empty-string and NULL values are filtered out for a stable grouped view, and \"month\" is cast to REAL because the schema stores it as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8f27941aec612b04/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8f27941aec612b04/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8ff2fccd77cf60ec/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8ff2fccd77cf60ec/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c31ac12b2dabf20147657cc3dbb1138a240e17e3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8ff2fccd77cf60ec/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:08:37.364239+00:00", + "ended_at": "2026-05-19T16:08:40.413611+00:00", + "elapsed_ms": 3049.34, + "returncode": 1, + "prompt_metrics": { + "chars": 12223, + "bytes_utf8": 12223, + "lines": 394, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8ff2fccd77cf60ec/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8ff2fccd77cf60ec/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c28a597c5e7b1b95f9c14dc5799fa8d97a03ab9f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8ff2fccd77cf60ec/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:08:41.415181+00:00", + "ended_at": "2026-05-19T16:08:44.493678+00:00", + "elapsed_ms": 3078.46, + "returncode": 1, + "prompt_metrics": { + "chars": 12223, + "bytes_utf8": 12223, + "lines": 394, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8ff2fccd77cf60ec/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8ff2fccd77cf60ec/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..33274c55c8f40b990a709e7a5b2ebad03f0ff495 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8ff2fccd77cf60ec/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,394 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=ord_0.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "ord_0", + "top_k": 11, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2.5, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8ff2fccd77cf60ec/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8ff2fccd77cf60ec/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..33274c55c8f40b990a709e7a5b2ebad03f0ff495 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8ff2fccd77cf60ec/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,394 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=ord_0.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "ord_0", + "top_k": 11, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2.5, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8ff2fccd77cf60ec/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8ff2fccd77cf60ec/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..d658c456a808a089902d6587b81e693863fa2109 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8ff2fccd77cf60ec/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-0de6-75b2-9886-a8360feecf29"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8ff2fccd77cf60ec/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8ff2fccd77cf60ec/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3ed483fb70360c053b97b17a2a33cb057b2c044d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8ff2fccd77cf60ec/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-0de6-75b2-9886-a8360feecf29"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8ff2fccd77cf60ec/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8ff2fccd77cf60ec/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f06e6e5fc57116aa2d1bbe3b45981cb47ca4d52d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8ff2fccd77cf60ec/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-1dbe-7ec2-8508-0f57dfaeb88e"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8ff2fccd77cf60ec/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8ff2fccd77cf60ec/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..b28c258b5b9a015509ec6a6d6f03dc60333cfc0d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8ff2fccd77cf60ec/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-1dbe-7ec2-8508-0f57dfaeb88e"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8ff2fccd77cf60ec/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8ff2fccd77cf60ec/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8ff2fccd77cf60ec/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8ff2fccd77cf60ec/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_90accca40071c282/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_90accca40071c282/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..2409a0973a329ddf5a6e218e1596ad3a92e35b59 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_90accca40071c282/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c15", + "started_at": "2026-05-19T16:09:14.059907+00:00", + "ended_at": "2026-05-19T16:09:21.275174+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c15_90accca40071c282", + "problem_id": "v2p_c15_60211c92d3c65a20", + "dataset_id": "c15", + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=ord_4.", + "bindings": { + "group_col": "ord_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": 0.75, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=3", + "sql_variant_index=1/2", + "binding_index=122" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_90accca40071c282/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_90accca40071c282/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3d3878216368e481599ebb93ce0d4051c6cc20b3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_90accca40071c282/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:09:17.153006+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3058.56, "started_at": "2026-05-19T16:09:14.092852+00:00", "ended_at": "2026-05-19T16:09:17.151454+00:00", "prompt_metrics": {"chars": 12276, "bytes_utf8": 12276, "lines": 394, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40ff-9d7d-7d60-8c96-b7b676ade673\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:09:21.275082+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3120.19, "started_at": "2026-05-19T16:09:18.154098+00:00", "ended_at": "2026-05-19T16:09:21.274318+00:00", "prompt_metrics": {"chars": 12276, "bytes_utf8": 12276, "lines": 394, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40ff-ad4c-7c42-80b8-dbcc1648b1c4\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_913343967fc70179/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_913343967fc70179/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..19860079c9abb92e9b454387297a80a283c16793 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_913343967fc70179/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12460, "bytes_utf8": 12460, "lines": 396, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_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": 12460, "bytes_utf8": 12460, "lines": 396, "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": 1838, "bytes_utf8": 1838, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16094, "cached_input_tokens": 12032, "output_tokens": 2820, "reasoning_output_tokens": 2156}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_913343967fc70179/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_913343967fc70179/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..c84b37d8cab74c1dad09523681c4a1f22c67ffb1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_913343967fc70179/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_913343967fc70179", + "api_calls": 0, + "input_tokens": 16094, + "cached_input_tokens": 12032, + "output_tokens": 2820, + "total_tokens": 18914, + "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": 46975.83, + "sql_execution_elapsed_ms_total": 2461.17, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_913343967fc70179/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_913343967fc70179/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_913343967fc70179/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c80821f6eb85850c3a0ff35268abf209392013bb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_913343967fc70179/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": "2026-05-19T16:01:16.247057+00:00", + "ended_at": "2026-05-19T16:01:19.405449+00:00", + "elapsed_ms": 3158.36, + "returncode": 1, + "prompt_metrics": { + "chars": 12460, + "bytes_utf8": 12460, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_913343967fc70179/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_913343967fc70179/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..25a7bd551163655f9eb5dccecaeadcf64400c248 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_913343967fc70179/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": "2026-05-19T16:01:20.407689+00:00", + "ended_at": "2026-05-19T16:02:04.225199+00:00", + "elapsed_ms": 43817.47, + "prompt_metrics": { + "chars": 12460, + "bytes_utf8": 12460, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2467, + "bytes_utf8": 2467, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 1838, + "bytes_utf8": 1838, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16094, + "cached_input_tokens": 12032, + "output_tokens": 2820, + "reasoning_output_tokens": 2156 + } + }, + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_913343967fc70179/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_913343967fc70179/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0e61f10de752856dd19c23331ef3b3fba44a8088 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_913343967fc70179/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,396 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=bin_0, measure_col=month.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "bin_0", + "measure_col": "month", + "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": 7.92, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_913343967fc70179/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_913343967fc70179/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..0e61f10de752856dd19c23331ef3b3fba44a8088 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_913343967fc70179/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,396 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=bin_0, measure_col=month.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "bin_0", + "measure_col": "month", + "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": 7.92, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_913343967fc70179/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_913343967fc70179/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a9c74e74382bf4e1327a79e397db6e2047654e70 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_913343967fc70179/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-52e9-7883-ac88-b09a3b489f38"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_913343967fc70179/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_913343967fc70179/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..220c3309bb6bde1e1481822288d0e67cc3f4f420 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_913343967fc70179/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-52e9-7883-ac88-b09a3b489f38"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_913343967fc70179/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_913343967fc70179/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..66cb6e60e562093001c5c700f37561956c220604 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_913343967fc70179/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-6339-78e0-a182-5c602e9d48ab"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"cleaned\\\" AS (\\n SELECT\\n \\\"bin_0\\\" AS \\\"bin_0\\\",\\n CAST(\\\"month\\\" AS REAL) AS \\\"month_value\\\"\\n FROM \\\"c15\\\"\\n WHERE NULLIF(\\\"bin_0\\\", '') IS NOT NULL\\n AND NULLIF(\\\"month\\\", '') IS NOT NULL\\n),\\n\\\"ranked\\\" AS (\\n SELECT\\n \\\"bin_0\\\",\\n \\\"month_value\\\",\\n ROW_NUMBER() OVER (PARTITION BY \\\"bin_0\\\" ORDER BY \\\"month_value\\\") AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"bin_0\\\") AS \\\"cnt\\\"\\n FROM \\\"cleaned\\\"\\n),\\n\\\"group_pos\\\" AS (\\n SELECT DISTINCT\\n \\\"bin_0\\\",\\n \\\"cnt\\\",\\n (1.0 + 0.9 * (\\\"cnt\\\" - 1)) AS \\\"pos\\\",\\n CAST((1.0 + 0.9 * (\\\"cnt\\\" - 1)) AS INTEGER) AS \\\"lower_rn\\\",\\n CAST((1.0 + 0.9 * (\\\"cnt\\\" - 1)) AS INTEGER) +\\n CASE\\n WHEN (1.0 + 0.9 * (\\\"cnt\\\" - 1)) > CAST((1.0 + 0.9 * (\\\"cnt\\\" - 1)) AS INTEGER) THEN 1\\n ELSE 0\\n END AS \\\"upper_rn\\\"\\n FROM \\\"ranked\\\"\\n)\\nSELECT\\n g.\\\"bin_0\\\",\\n CASE\\n WHEN g.\\\"lower_rn\\\" = g.\\\"upper_rn\\\" THEN\\n MAX(CASE WHEN r.\\\"rn\\\" = g.\\\"lower_rn\\\" THEN r.\\\"month_value\\\" END)\\n ELSE\\n MAX(CASE WHEN r.\\\"rn\\\" = g.\\\"lower_rn\\\" THEN r.\\\"month_value\\\" END) +\\n (g.\\\"pos\\\" - g.\\\"lower_rn\\\") *\\n (\\n MAX(CASE WHEN r.\\\"rn\\\" = g.\\\"upper_rn\\\" THEN r.\\\"month_value\\\" END) -\\n MAX(CASE WHEN r.\\\"rn\\\" = g.\\\"lower_rn\\\" THEN r.\\\"month_value\\\" END)\\n )\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"group_pos\\\" AS g\\nJOIN \\\"ranked\\\" AS r\\n ON r.\\\"bin_0\\\" = g.\\\"bin_0\\\"\\nWHERE g.\\\"cnt\\\" >= 5\\nGROUP BY\\n g.\\\"bin_0\\\",\\n g.\\\"cnt\\\",\\n g.\\\"pos\\\",\\n g.\\\"lower_rn\\\",\\n g.\\\"upper_rn\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"Emulates PERCENTILE_CONT(0.9) in SQLite with linear interpolation over CAST(\\\"month\\\" AS REAL), grouped by \\\"bin_0\\\". Empty \\\"bin_0\\\" and \\\"month\\\" values are excluded, and groups must have at least 5 rows.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16094,"cached_input_tokens":12032,"output_tokens":2820,"reasoning_output_tokens":2156}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_913343967fc70179/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_913343967fc70179/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..b076ed6699d5d554fcf451747bdfffd973ce7e30 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_913343967fc70179/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"cleaned\" AS (\n SELECT\n \"bin_0\" AS \"bin_0\",\n CAST(\"month\" AS REAL) AS \"month_value\"\n FROM \"c15\"\n WHERE NULLIF(\"bin_0\", '') IS NOT NULL\n AND NULLIF(\"month\", '') IS NOT NULL\n),\n\"ranked\" AS (\n SELECT\n \"bin_0\",\n \"month_value\",\n ROW_NUMBER() OVER (PARTITION BY \"bin_0\" ORDER BY \"month_value\") AS \"rn\",\n COUNT(*) OVER (PARTITION BY \"bin_0\") AS \"cnt\"\n FROM \"cleaned\"\n),\n\"group_pos\" AS (\n SELECT DISTINCT\n \"bin_0\",\n \"cnt\",\n (1.0 + 0.9 * (\"cnt\" - 1)) AS \"pos\",\n CAST((1.0 + 0.9 * (\"cnt\" - 1)) AS INTEGER) AS \"lower_rn\",\n CAST((1.0 + 0.9 * (\"cnt\" - 1)) AS INTEGER) +\n CASE\n WHEN (1.0 + 0.9 * (\"cnt\" - 1)) > CAST((1.0 + 0.9 * (\"cnt\" - 1)) AS INTEGER) THEN 1\n ELSE 0\n END AS \"upper_rn\"\n FROM \"ranked\"\n)\nSELECT\n g.\"bin_0\",\n CASE\n WHEN g.\"lower_rn\" = g.\"upper_rn\" THEN\n MAX(CASE WHEN r.\"rn\" = g.\"lower_rn\" THEN r.\"month_value\" END)\n ELSE\n MAX(CASE WHEN r.\"rn\" = g.\"lower_rn\" THEN r.\"month_value\" END) +\n (g.\"pos\" - g.\"lower_rn\") *\n (\n MAX(CASE WHEN r.\"rn\" = g.\"upper_rn\" THEN r.\"month_value\" END) -\n MAX(CASE WHEN r.\"rn\" = g.\"lower_rn\" THEN r.\"month_value\" END)\n )\n END AS \"percentile_measure\"\nFROM \"group_pos\" AS g\nJOIN \"ranked\" AS r\n ON r.\"bin_0\" = g.\"bin_0\"\nWHERE g.\"cnt\" >= 5\nGROUP BY\n g.\"bin_0\",\n g.\"cnt\",\n g.\"pos\",\n g.\"lower_rn\",\n g.\"upper_rn\"\nORDER BY \"percentile_measure\" DESC;","notes":"Emulates PERCENTILE_CONT(0.9) in SQLite with linear interpolation over CAST(\"month\" AS REAL), grouped by \"bin_0\". Empty \"bin_0\" and \"month\" values are excluded, and groups must have at least 5 rows."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_913343967fc70179/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_913343967fc70179/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_913343967fc70179/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_913343967fc70179/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_917e2931b46ced24/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_917e2931b46ced24/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..75b25642909d5333ec95e761f00f5eebbedf2ec3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_917e2931b46ced24/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": "2026-05-19T16:11:06.050054+00:00", + "ended_at": "2026-05-19T16:11:09.366937+00:00", + "elapsed_ms": 3316.84, + "returncode": 1, + "prompt_metrics": { + "chars": 12366, + "bytes_utf8": 12366, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_917e2931b46ced24/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_917e2931b46ced24/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b68fa219e16f01ff1fa16e8c3b676e44ee0f72e6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_917e2931b46ced24/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": "2026-05-19T16:11:10.369179+00:00", + "ended_at": "2026-05-19T16:11:14.691387+00:00", + "elapsed_ms": 4322.18, + "returncode": 1, + "prompt_metrics": { + "chars": 12366, + "bytes_utf8": 12366, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_917e2931b46ced24/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_917e2931b46ced24/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d852274955938698d8211f3a9462e5b115f3d357 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_917e2931b46ced24/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,396 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=nom_2, measure_col=id.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "nom_2", + "measure_col": "id", + "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": 502184.84, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_917e2931b46ced24/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_917e2931b46ced24/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..d852274955938698d8211f3a9462e5b115f3d357 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_917e2931b46ced24/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,396 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=nom_2, measure_col=id.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "nom_2", + "measure_col": "id", + "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": 502184.84, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_917e2931b46ced24/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_917e2931b46ced24/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..7f59007607752f11f91cebe822426ba94d207266 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_917e2931b46ced24/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-52dc-7bb3-b205-3e22d4c079c9"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_917e2931b46ced24/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_917e2931b46ced24/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4ed4d9fefb0c3ecc3cb7f261f7fde93ef449ad67 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_917e2931b46ced24/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-52dc-7bb3-b205-3e22d4c079c9"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_917e2931b46ced24/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_917e2931b46ced24/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..4744c40b653845bda7eb0c4582c9982da1c9c300 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_917e2931b46ced24/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-639a-78a1-8d66-907d71b92568"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_917e2931b46ced24/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_917e2931b46ced24/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..2e77effda03bccfbce4e299b00333f9eac96d64c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_917e2931b46ced24/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-639a-78a1-8d66-907d71b92568"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_917e2931b46ced24/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_917e2931b46ced24/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_917e2931b46ced24/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_917e2931b46ced24/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_91dac80f90d11e3a/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_91dac80f90d11e3a/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..fe8e60a87596eb77e7a0f8b1ce9b80143306cefe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_91dac80f90d11e3a/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c15", + "started_at": "2026-05-19T16:03:42.716054+00:00", + "ended_at": "2026-05-19T16:03:50.722229+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c15_91dac80f90d11e3a", + "problem_id": "v2p_c15_1161a0e5cb7c8559", + "dataset_id": "c15", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=bin_3, measure_col=bin_1.", + "bindings": { + "group_col": "bin_3", + "measure_col": "bin_1", + "top_k": 13, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.75, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=10", + "sql_variant_index=1/2", + "binding_index=93" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 10, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_91dac80f90d11e3a/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_91dac80f90d11e3a/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b502658fab714c2728c89f910683e5310aa5d7c2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_91dac80f90d11e3a/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:03:45.602417+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 2855.11, "started_at": "2026-05-19T16:03:42.746556+00:00", "ended_at": "2026-05-19T16:03:45.601686+00:00", "prompt_metrics": {"chars": 12458, "bytes_utf8": 12458, "lines": 396, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fa-8f21-70d0-a0d1-b9050d4ad872\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:03:50.722141+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 4117.25, "started_at": "2026-05-19T16:03:46.604111+00:00", "ended_at": "2026-05-19T16:03:50.721405+00:00", "prompt_metrics": {"chars": 12458, "bytes_utf8": 12458, "lines": 396, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fa-9e65-7d43-8d8b-99b85649e8f3\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_94781f2d860b011b/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_94781f2d860b011b/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..5be011e6686541fca1f4daf831a17b7d08bee306 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_94781f2d860b011b/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c15", + "started_at": "2026-05-19T16:09:36.052579+00:00", + "ended_at": "2026-05-19T16:09:43.188980+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c15_94781f2d860b011b", + "problem_id": "v2p_c15_1c882f6b7dd270e4", + "dataset_id": "c15", + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=day.", + "bindings": { + "group_col": "day", + "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": 2.5, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=2/2", + "binding_index=123" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "problem_index_within_template": 4, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_94781f2d860b011b/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_94781f2d860b011b/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4db7621b70f65995f0fd466396b91f922a4ff830 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_94781f2d860b011b/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:09:39.266576+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3182.61, "started_at": "2026-05-19T16:09:36.083139+00:00", "ended_at": "2026-05-19T16:09:39.265784+00:00", "prompt_metrics": {"chars": 12273, "bytes_utf8": 12273, "lines": 394, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40ff-f36f-7bb1-943d-bba44927604b\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:09:43.188873+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 2920.15, "started_at": "2026-05-19T16:09:40.267769+00:00", "ended_at": "2026-05-19T16:09:43.187950+00:00", "prompt_metrics": {"chars": 12273, "bytes_utf8": 12273, "lines": 394, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e4100-03b8-7642-a7ec-3b1891f8c453\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_959f7c2e39ef0714/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_959f7c2e39ef0714/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e01182ab8857a3817f899f869b940d5c565311c6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_959f7c2e39ef0714/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12687, "bytes_utf8": 12687, "lines": 398, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 669, "bytes_utf8": 669, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16172, "cached_input_tokens": 12032, "output_tokens": 1489, "reasoning_output_tokens": 1291}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_959f7c2e39ef0714/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_959f7c2e39ef0714/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..61c17ed4bd6c519db9a2cfbf1c019d38ffef0bd7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_959f7c2e39ef0714/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_959f7c2e39ef0714", + "api_calls": 0, + "input_tokens": 16172, + "cached_input_tokens": 12032, + "output_tokens": 1489, + "total_tokens": 17661, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 25219.49, + "sql_execution_elapsed_ms_total": 662.51, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_959f7c2e39ef0714/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_959f7c2e39ef0714/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_959f7c2e39ef0714/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c39408f3104d1acb96e2908cae708d572bcc01c6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_959f7c2e39ef0714/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": "2026-05-19T15:42:45.673682+00:00", + "ended_at": "2026-05-19T15:43:10.893204+00:00", + "elapsed_ms": 25219.49, + "prompt_metrics": { + "chars": 12687, + "bytes_utf8": 12687, + "lines": 398, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1075, + "bytes_utf8": 1075, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 669, + "bytes_utf8": 669, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16172, + "cached_input_tokens": 12032, + "output_tokens": 1489, + "reasoning_output_tokens": 1291 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_959f7c2e39ef0714/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_959f7c2e39ef0714/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9f90b1cf58667bb9d3a4f9efa9b47a917f732aea --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_959f7c2e39ef0714/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,398 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=month, measure_col=month.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "month", + "measure_col": "month", + "item_col": "nom_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": 9.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_959f7c2e39ef0714/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_959f7c2e39ef0714/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..295ab90bc25bab608c92e98d4953893508d583fb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_959f7c2e39ef0714/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e7-60b0-7a72-8a09-afd4be70cd58"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"month\\\",\\n \\\"nom_7\\\",\\n SUM(CAST(NULLIF(\\\"month\\\", '') AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(NULLIF(\\\"month\\\", '') AS REAL)) * 100.0 / SUM(SUM(CAST(NULLIF(\\\"month\\\", '') AS REAL))) OVER (PARTITION BY \\\"month\\\") AS \\\"share_within_group\\\"\\nFROM \\\"c15\\\"\\nWHERE NULLIF(\\\"month\\\", '') IS NOT NULL\\nGROUP BY \\\"month\\\", \\\"nom_7\\\"\\nORDER BY \\\"share_within_group\\\" DESC\\nLIMIT 14;\",\"notes\":\"Uses the planned within-group share template with group_col=\\\"month\\\", item_col=\\\"nom_7\\\", and measure_col=\\\"month\\\". Since \\\"month\\\" is stored as TEXT, the query casts it to REAL and ignores blank month values.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16172,"cached_input_tokens":12032,"output_tokens":1489,"reasoning_output_tokens":1291}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_959f7c2e39ef0714/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_959f7c2e39ef0714/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..77e5fe18242c6b8b0fc924a35cdb1d0540ee31e0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_959f7c2e39ef0714/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"month\",\n \"nom_7\",\n SUM(CAST(NULLIF(\"month\", '') AS REAL)) AS \"total_measure\",\n SUM(CAST(NULLIF(\"month\", '') AS REAL)) * 100.0 / SUM(SUM(CAST(NULLIF(\"month\", '') AS REAL))) OVER (PARTITION BY \"month\") AS \"share_within_group\"\nFROM \"c15\"\nWHERE NULLIF(\"month\", '') IS NOT NULL\nGROUP BY \"month\", \"nom_7\"\nORDER BY \"share_within_group\" DESC\nLIMIT 14;","notes":"Uses the planned within-group share template with group_col=\"month\", item_col=\"nom_7\", and measure_col=\"month\". Since \"month\" is stored as TEXT, the query casts it to REAL and ignores blank month values."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_959f7c2e39ef0714/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_959f7c2e39ef0714/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9ae025563e673675/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9ae025563e673675/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..60e2d7481b0e5f0e98c94d17486d862e59fbeb13 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9ae025563e673675/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": "2026-05-19T16:05:43.089138+00:00", + "ended_at": "2026-05-19T16:05:45.924464+00:00", + "elapsed_ms": 2835.28, + "returncode": 1, + "prompt_metrics": { + "chars": 12537, + "bytes_utf8": 12537, + "lines": 399, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9ae025563e673675/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9ae025563e673675/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..5810a00af530d8b92ab48c9fae9cc852e7001a91 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9ae025563e673675/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": "2026-05-19T16:05:46.927972+00:00", + "ended_at": "2026-05-19T16:05:50.235923+00:00", + "elapsed_ms": 3307.87, + "returncode": 1, + "prompt_metrics": { + "chars": 12537, + "bytes_utf8": 12537, + "lines": 399, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9ae025563e673675/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9ae025563e673675/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..41202c1bc9df670506e21b59d6905808158b60cf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9ae025563e673675/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,399 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=ord_0, condition_col=ord_0.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "ord_0", + "condition_col": "ord_0", + "condition_value": "3.0", + "positive_value": "3.0", + "negative_value": "2.0", + "top_k": 10, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.75, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9ae025563e673675/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9ae025563e673675/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..41202c1bc9df670506e21b59d6905808158b60cf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9ae025563e673675/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,399 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=ord_0, condition_col=ord_0.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "ord_0", + "condition_col": "ord_0", + "condition_value": "3.0", + "positive_value": "3.0", + "negative_value": "2.0", + "top_k": 10, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.75, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9ae025563e673675/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9ae025563e673675/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..10b7f81386b3fd8acad2c33daf818e7f94fc460a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9ae025563e673675/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-6552-73f3-9956-7f629921054a"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9ae025563e673675/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9ae025563e673675/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..28ac7f2741d0157345ae09af40a4244ef0d80a00 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9ae025563e673675/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-6552-73f3-9956-7f629921054a"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9ae025563e673675/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9ae025563e673675/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e4ab8d39b3046808ec185fbeac8641ab0d72cea4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9ae025563e673675/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-7444-7ae2-ab9e-e8f8764379e8"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9ae025563e673675/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9ae025563e673675/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..c45fe65b75ae3a84186989581f08ac778ed54394 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9ae025563e673675/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-7444-7ae2-ab9e-e8f8764379e8"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9ae025563e673675/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9ae025563e673675/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9ae025563e673675/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9ae025563e673675/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9bb49bc1ca37956d/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9bb49bc1ca37956d/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..0d1f0fe130ee1fcff342e84062422afc0dd20461 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9bb49bc1ca37956d/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=nom_1, measure_col=month. +Result preview: [{"nom_1": "Triangle", "total_measure": 1015626.0}, {"nom_1": "Polygon", "total_measure": 942390.0}, {"nom_1": "Trapezoid", "total_measure": 737619.0}, {"nom_1": "Circle", "total_measure": 648980.0}, {"nom_1": "Square", "total_measure": 164316.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9bb49bc1ca37956d/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9bb49bc1ca37956d/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..a6147546d9f51c2bed98e00d96912d1dc3cc251e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9bb49bc1ca37956d/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c15 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_rank_order +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_c15_9bb49bc1ca37956d +-- problem_id: v2p_c15_13ff395c8bbde403 +-- realization_mode: agent +-- source_kind: agent +SELECT "nom_1", SUM(CAST(NULLIF("month", '') AS REAL)) AS total_measure +FROM "c15" +GROUP BY "nom_1" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9bb49bc1ca37956d/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9bb49bc1ca37956d/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..196b50eea0a0061380c4be9910614704bf483107 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9bb49bc1ca37956d/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_h2o_group_sum\nSELECT \"nom_1\", SUM(CAST(NULLIF(\"month\", '') AS REAL)) AS total_measure\nFROM \"c15\"\nGROUP BY \"nom_1\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"nom_1\\\", SUM(CAST(NULLIF(\\\"month\\\", '') AS REAL)) AS total_measure\\nFROM \\\"c15\\\"\\nGROUP BY \\\"nom_1\\\"\\nORDER BY total_measure DESC;\", \"columns\": [\"nom_1\", \"total_measure\"], \"rows\": [{\"nom_1\": \"Triangle\", \"total_measure\": 1015626.0}, {\"nom_1\": \"Polygon\", \"total_measure\": 942390.0}, {\"nom_1\": \"Trapezoid\", \"total_measure\": 737619.0}, {\"nom_1\": \"Circle\", \"total_measure\": 648980.0}, {\"nom_1\": \"Square\", \"total_measure\": 164316.0}, {\"nom_1\": \"\", \"total_measure\": 112127.0}, {\"nom_1\": \"Star\", \"total_measure\": 87125.0}], \"row_count_returned\": 7, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 378.33}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9bb49bc1ca37956d/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9bb49bc1ca37956d/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..52eafcd0a4c75a3349c94b3e92d4947195df984b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9bb49bc1ca37956d/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c15", + "started_at": "2026-05-19T15:31:16.310005+00:00", + "ended_at": "2026-05-19T15:31:29.910455+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c15_9bb49bc1ca37956d", + "problem_id": "v2p_c15_13ff395c8bbde403", + "dataset_id": "c15", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_rank_order", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=nom_1, measure_col=month.", + "bindings": { + "group_col": "nom_1", + "measure_col": "month", + "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": 7.92, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=7", + "sql_variant_index=2/2", + "binding_index=6" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 7, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/sql/v2q_c15_9bb49bc1ca37956d.sql", + "usage_summary": { + "dataset_id": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_9bb49bc1ca37956d", + "api_calls": 0, + "input_tokens": 16056, + "cached_input_tokens": 12032, + "output_tokens": 632, + "total_tokens": 16688, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13183.04, + "sql_execution_elapsed_ms_total": 378.33, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9bb49bc1ca37956d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9bb49bc1ca37956d/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9bb49bc1ca37956d/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..96ab8d701dc2a73926b6f569b14bdf942054dbfa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9bb49bc1ca37956d/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:31:29.528577+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 13183.04, "started_at": "2026-05-19T15:31:16.344732+00:00", "ended_at": "2026-05-19T15:31:29.527806+00:00", "prompt_metrics": {"chars": 12282, "bytes_utf8": 12282, "lines": 396, "estimated_tokens": null}, "response_metrics": {"chars": 419, "bytes_utf8": 419, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16056, "cached_input_tokens": 12032, "output_tokens": 632, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"nom_1\\\", SUM(CAST(NULLIF(\\\"month\\\", '') AS REAL)) AS total_measure\\nFROM \\\"c15\\\"\\nGROUP BY \\\"nom_1\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the planned Grouped Numeric Sum template with group_col=\\\"nom_1\\\" and measure_col=\\\"month\\\". \\\"month\\\" is stored as TEXT in the snapshot, so the query casts non-empty values to REAL and ignores empty strings during SUM.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9bb49bc1ca37956d/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9bb49bc1ca37956d/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..4a6f271cb52cfafff5eb02f20183f54a3e83ce3c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9bb49bc1ca37956d/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_9bb49bc1ca37956d", + "api_calls": 0, + "input_tokens": 16056, + "cached_input_tokens": 12032, + "output_tokens": 632, + "total_tokens": 16688, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13183.04, + "sql_execution_elapsed_ms_total": 378.33, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9bb49bc1ca37956d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9c8d7ce656a0ceea/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9c8d7ce656a0ceea/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..46a725e8cb4d27bcad1c81f0c54243d00be0f7cf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9c8d7ce656a0ceea/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"total_rows": 600000, "missing_rows": 0, "missing_rate": 0.0}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9c8d7ce656a0ceea/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9c8d7ce656a0ceea/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..e886508e6b5b64d86b0dce2d6501deccfad62ade --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9c8d7ce656a0ceea/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c15 +-- family_id: missingness_structure +-- canonical_subitem_id: marginal_missing_rate_consistency +-- intended_facet_id: missing_indicator_distribution +-- variant_semantic_role: missing_indicator_view +-- template_id: tpl_missing_marginal_rate_profile +-- query_record_id: v2q_c15_9c8d7ce656a0ceea +-- problem_id: v2p_c15_a0c22c7086143703 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + COUNT(*) AS total_rows, + SUM(CASE WHEN "bin_3" IS NULL THEN 1 ELSE 0 END) AS missing_rows, + AVG(CASE WHEN "bin_3" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate +FROM "c15"; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9c8d7ce656a0ceea/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9c8d7ce656a0ceea/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..44b6e3f0e5b0917acd6895c15e558decea313dba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9c8d7ce656a0ceea/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_b\n-- sql_source_dataset_id: c15\n-- family_id: missingness_structure\n-- canonical_subitem_id: marginal_missing_rate_consistency\n-- intended_facet_id: missing_indicator_distribution\n-- variant_semantic_role: missing_indicator_view\n-- template_id: tpl_missing_marginal_rate_profile\n-- query_record_id: v2q_c15_9c8d7ce656a0ceea\n-- problem_id: v2p_c15_a0c22c7086143703\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n COUNT(*) AS total_rows,\n SUM(CASE WHEN \"bin_3\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN \"bin_3\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM \"c15\";", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_b\\n-- sql_source_dataset_id: c15\\n-- family_id: missingness_structure\\n-- canonical_subitem_id: marginal_missing_rate_consistency\\n-- intended_facet_id: missing_indicator_distribution\\n-- variant_semantic_role: missing_indicator_view\\n-- template_id: tpl_missing_marginal_rate_profile\\n-- query_record_id: v2q_c15_9c8d7ce656a0ceea\\n-- problem_id: v2p_c15_a0c22c7086143703\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n COUNT(*) AS total_rows,\\n SUM(CASE WHEN \\\"bin_3\\\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\\n AVG(CASE WHEN \\\"bin_3\\\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\\nFROM \\\"c15\\\";\", \"columns\": [\"total_rows\", \"missing_rows\", \"missing_rate\"], \"rows\": [{\"total_rows\": 600000, \"missing_rows\": 0, \"missing_rate\": 0.0}], \"row_count_returned\": 1, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 90.58}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9c8d7ce656a0ceea/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9c8d7ce656a0ceea/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..845b2fe7e503d588cbd1fca2d15f0a3ac02694ee --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9c8d7ce656a0ceea/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c15", + "started_at": "2026-05-19T16:13:00.542555+00:00", + "ended_at": "2026-05-19T16:13:00.633957+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c15_9c8d7ce656a0ceea", + "problem_id": "v2p_c15_a0c22c7086143703", + "dataset_id": "c15", + "template_id": "tpl_missing_marginal_rate_profile", + "template_name": "Marginal Missing Rate Profile", + "family_id": "missingness_structure", + "canonical_subitem_id": "marginal_missing_rate_consistency", + "intended_facet_id": "missing_indicator_distribution", + "variant_semantic_role": "missing_indicator_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": false, + "question": "Use template Marginal Missing Rate Profile to probe marginal_missing_rate_consistency with semantic role missing_indicator_view. Focus on missing_col=bin_3.", + "bindings": { + "missing_col": "bin_3" + }, + "binding_roles": [ + "missing_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n COUNT(*) AS total_rows,\n SUM(CASE WHEN {missing_col} IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN {missing_col} IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM {table};", + "notes": [ + "default_facets=missing_indicator_distribution", + "template_selection_mode=deterministic", + "problem_index_within_template=3", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/sql/v2q_c15_9c8d7ce656a0ceea.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9c8d7ce656a0ceea/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9c8d7ce656a0ceea/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9c8d7ce656a0ceea/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9ce908d27a27fe5e/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9ce908d27a27fe5e/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..239fc9701d50589cf6e2d96cbc57007d7fecfdca --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9ce908d27a27fe5e/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=bin_1, measure_col=bin_0. +Result preview: [{"bin_1": "0.0", "total_measure": 42617.0}, {"bin_1": "1.0", "total_measure": 9508.0}, {"bin_1": "", "total_measure": 1604.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9ce908d27a27fe5e/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9ce908d27a27fe5e/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..b44511d7119702b94c214326eb3c422664db58d2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9ce908d27a27fe5e/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c15 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_conditional_contrast +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_c15_9ce908d27a27fe5e +-- problem_id: v2p_c15_61f69fc2e0803153 +-- realization_mode: agent +-- source_kind: agent +SELECT "bin_1", SUM(CAST(NULLIF("bin_0", '') AS REAL)) AS total_measure +FROM "c15" +GROUP BY "bin_1" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9ce908d27a27fe5e/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9ce908d27a27fe5e/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8a16e28f7c206a501540de7e9f5403bbf7d0d4cf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9ce908d27a27fe5e/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_h2o_group_sum\nSELECT \"bin_1\", SUM(CAST(NULLIF(\"bin_0\", '') AS REAL)) AS total_measure\nFROM \"c15\"\nGROUP BY \"bin_1\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"bin_1\\\", SUM(CAST(NULLIF(\\\"bin_0\\\", '') AS REAL)) AS total_measure\\nFROM \\\"c15\\\"\\nGROUP BY \\\"bin_1\\\"\\nORDER BY total_measure DESC;\", \"columns\": [\"bin_1\", \"total_measure\"], \"rows\": [{\"bin_1\": \"0.0\", \"total_measure\": 42617.0}, {\"bin_1\": \"1.0\", \"total_measure\": 9508.0}, {\"bin_1\": \"\", \"total_measure\": 1604.0}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 295.62}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9ce908d27a27fe5e/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9ce908d27a27fe5e/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..c59d48b9b96c87df4537ec225d34b9b843f6d7ad --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9ce908d27a27fe5e/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c15", + "started_at": "2026-05-19T15:28:48.263967+00:00", + "ended_at": "2026-05-19T15:28:58.827014+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c15_9ce908d27a27fe5e", + "problem_id": "v2p_c15_61f69fc2e0803153", + "dataset_id": "c15", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_conditional_contrast", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=bin_1, measure_col=bin_0.", + "bindings": { + "group_col": "bin_1", + "measure_col": "bin_0", + "top_k": 16, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.66, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=2/2", + "binding_index=1" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 2, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/sql/v2q_c15_9ce908d27a27fe5e.sql", + "usage_summary": { + "dataset_id": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_9ce908d27a27fe5e", + "api_calls": 0, + "input_tokens": 16060, + "cached_input_tokens": 0, + "output_tokens": 392, + "total_tokens": 16452, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10233.94, + "sql_execution_elapsed_ms_total": 295.62, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9ce908d27a27fe5e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9ce908d27a27fe5e/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9ce908d27a27fe5e/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8ff1694aba308fe9953dad7546443c70221e50fe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9ce908d27a27fe5e/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:28:58.528801+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 10233.94, "started_at": "2026-05-19T15:28:48.294093+00:00", "ended_at": "2026-05-19T15:28:58.528064+00:00", "prompt_metrics": {"chars": 12283, "bytes_utf8": 12283, "lines": 396, "estimated_tokens": null}, "response_metrics": {"chars": 398, "bytes_utf8": 398, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16060, "cached_input_tokens": 0, "output_tokens": 392, "reasoning_output_tokens": 279}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"bin_1\\\", SUM(CAST(NULLIF(\\\"bin_0\\\", '') AS REAL)) AS total_measure\\nFROM \\\"c15\\\"\\nGROUP BY \\\"bin_1\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the planned grouped-sum template with group_col=\\\"bin_1\\\" and measure_col=\\\"bin_0\\\". Applied NULLIF and CAST because both columns are stored as TEXT and sample rows show empty-string missing values.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9ce908d27a27fe5e/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9ce908d27a27fe5e/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..537cf54a13ecbfcd9c6cc3437559c3b64b2967c9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9ce908d27a27fe5e/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_9ce908d27a27fe5e", + "api_calls": 0, + "input_tokens": 16060, + "cached_input_tokens": 0, + "output_tokens": 392, + "total_tokens": 16452, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10233.94, + "sql_execution_elapsed_ms_total": 295.62, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9ce908d27a27fe5e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9d512b908af84a41/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9d512b908af84a41/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..07f8b0508d11b9ec3c072953662c194e59583a76 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9d512b908af84a41/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"bin_0": "0.0", "total_rows": 528377, "missing_rows": 0, "missing_rate": 0.0}, {"bin_0": "1.0", "total_rows": 53729, "missing_rows": 0, "missing_rate": 0.0}, {"bin_0": "", "total_rows": 17894, "missing_rows": 0, "missing_rate": 0.0}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9d512b908af84a41/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9d512b908af84a41/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..fbcde6bd4981e189b88aee47be63689118c4729c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9d512b908af84a41/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c15 +-- family_id: missingness_structure +-- canonical_subitem_id: co_missingness_pattern_consistency +-- intended_facet_id: missing_rate_by_subgroup +-- variant_semantic_role: missing_rate_by_subgroup +-- template_id: tpl_missing_rate_by_subgroup +-- query_record_id: v2q_c15_9d512b908af84a41 +-- problem_id: v2p_c15_e8f29c78e470352f +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "bin_0", + COUNT(*) AS total_rows, + SUM(CASE WHEN "nom_7" IS NULL THEN 1 ELSE 0 END) AS missing_rows, + AVG(CASE WHEN "nom_7" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate +FROM "c15" +GROUP BY "bin_0" +ORDER BY missing_rate DESC, total_rows DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9d512b908af84a41/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9d512b908af84a41/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f9a6241d2d382c10e2ed88d9464f0e49d4ed2180 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9d512b908af84a41/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_b\n-- sql_source_dataset_id: c15\n-- family_id: missingness_structure\n-- canonical_subitem_id: co_missingness_pattern_consistency\n-- intended_facet_id: missing_rate_by_subgroup\n-- variant_semantic_role: missing_rate_by_subgroup\n-- template_id: tpl_missing_rate_by_subgroup\n-- query_record_id: v2q_c15_9d512b908af84a41\n-- problem_id: v2p_c15_e8f29c78e470352f\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"bin_0\",\n COUNT(*) AS total_rows,\n SUM(CASE WHEN \"nom_7\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN \"nom_7\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM \"c15\"\nGROUP BY \"bin_0\"\nORDER BY missing_rate DESC, total_rows DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_b\\n-- sql_source_dataset_id: c15\\n-- family_id: missingness_structure\\n-- canonical_subitem_id: co_missingness_pattern_consistency\\n-- intended_facet_id: missing_rate_by_subgroup\\n-- variant_semantic_role: missing_rate_by_subgroup\\n-- template_id: tpl_missing_rate_by_subgroup\\n-- query_record_id: v2q_c15_9d512b908af84a41\\n-- problem_id: v2p_c15_e8f29c78e470352f\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"bin_0\\\",\\n COUNT(*) AS total_rows,\\n SUM(CASE WHEN \\\"nom_7\\\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\\n AVG(CASE WHEN \\\"nom_7\\\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\\nFROM \\\"c15\\\"\\nGROUP BY \\\"bin_0\\\"\\nORDER BY missing_rate DESC, total_rows DESC;\", \"columns\": [\"bin_0\", \"total_rows\", \"missing_rows\", \"missing_rate\"], \"rows\": [{\"bin_0\": \"0.0\", \"total_rows\": 528377, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"bin_0\": \"1.0\", \"total_rows\": 53729, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"bin_0\": \"\", \"total_rows\": 17894, \"missing_rows\": 0, \"missing_rate\": 0.0}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 334.9}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9d512b908af84a41/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9d512b908af84a41/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..54501ae7cefcfda3f5cf8848b38280afe05fd7fd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9d512b908af84a41/run_manifest.json @@ -0,0 +1,59 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c15", + "started_at": "2026-05-19T16:13:03.590010+00:00", + "ended_at": "2026-05-19T16:13:03.926138+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c15_9d512b908af84a41", + "problem_id": "v2p_c15_e8f29c78e470352f", + "dataset_id": "c15", + "template_id": "tpl_missing_rate_by_subgroup", + "template_name": "Missing Rate by Subgroup", + "family_id": "missingness_structure", + "canonical_subitem_id": "co_missingness_pattern_consistency", + "intended_facet_id": "missing_rate_by_subgroup", + "variant_semantic_role": "missing_rate_by_subgroup", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": false, + "question": "Use template Missing Rate by Subgroup to probe co_missingness_pattern_consistency with semantic role missing_rate_by_subgroup. Focus on group_col=bin_0, missing_col=nom_7.", + "bindings": { + "missing_col": "nom_7", + "group_col": "bin_0" + }, + "binding_roles": [ + "missing_col", + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS total_rows,\n SUM(CASE WHEN {missing_col} IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN {missing_col} IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY missing_rate DESC, total_rows DESC;", + "notes": [ + "default_facets=missing_rate_by_subgroup,missing_target_interaction", + "template_selection_mode=deterministic", + "problem_index_within_template=7", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/sql/v2q_c15_9d512b908af84a41.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9d512b908af84a41/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9d512b908af84a41/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9d512b908af84a41/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a01fb5dbb7a230df/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a01fb5dbb7a230df/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..589c0de4ad8b739a1803f095f13435d8fd1ec922 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a01fb5dbb7a230df/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ed-1930-7af0-9be0-6651b375dc47"} +{"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 \\\"id\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"id\\\" AS REAL) DESC) AS tail_bucket\\n FROM \\\"c15\\\"\\n WHERE \\\"id\\\" IS NOT NULL AND \\\"id\\\" <> ''\\n)\\nSELECT \\\"id\\\"\\nFROM buckets\\nWHERE tail_bucket = 1\\nORDER BY CAST(\\\"id\\\" AS REAL) DESC;\",\"notes\":\"Applied the Quantile Tail Slice template on \\\"id\\\" with 10 tiles; used CAST(\\\"id\\\" AS REAL) because the schema stores \\\"id\\\" as TEXT but the field is semantically numeric.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16107,"cached_input_tokens":14720,"output_tokens":430,"reasoning_output_tokens":279}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a3137313ca710a0d/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a3137313ca710a0d/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..f82a951b423565b507ec6596579eb012097f73ed --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a3137313ca710a0d/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=bin_0, measure_col=bin_1. +Result preview: [{"bin_0": "0.0", "group_value": 95199.0}, {"bin_0": "1.0", "group_value": 9508.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a3137313ca710a0d/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a3137313ca710a0d/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..5508cdf2070b016d41da1add6cd7acaa35b43a6f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a3137313ca710a0d/generated_sql.sql @@ -0,0 +1,37 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c15 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: filtered_stable_view +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_c15_a3137313ca710a0d +-- problem_id: v2p_c15_a002a33bc8d40fa0 +-- realization_mode: agent +-- source_kind: agent +WITH "filtered" AS ( + SELECT + "bin_0", + CAST(NULLIF("bin_1", '') AS REAL) AS "bin_1_value" + FROM "c15" + WHERE NULLIF("bin_0", '') IS NOT NULL + AND NULLIF("bin_1", '') IS NOT NULL +), +"grouped" AS ( + SELECT + "bin_0", + SUM("bin_1_value") AS "group_value" + FROM "filtered" + GROUP BY "bin_0" +), +"total" AS ( + SELECT SUM("group_value") AS "total_value" + FROM "grouped" +) +SELECT g."bin_0", g."group_value" +FROM "grouped" AS g +CROSS JOIN "total" AS t +WHERE g."group_value" > t."total_value" * 0.05 +ORDER BY g."group_value" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a3137313ca710a0d/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a3137313ca710a0d/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ebea197201b0eebb9afa79695e22924f80f00802 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a3137313ca710a0d/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpch_relative_total_threshold\nWITH \"filtered\" AS (\n SELECT\n \"bin_0\",\n CAST(NULLIF(\"bin_1\", '') AS REAL) AS \"bin_1_value\"\n FROM \"c15\"\n WHERE NULLIF(\"bin_0\", '') IS NOT NULL\n AND NULLIF(\"bin_1\", '') IS NOT NULL\n),\n\"grouped\" AS (\n SELECT\n \"bin_0\",\n SUM(\"bin_1_value\") AS \"group_value\"\n FROM \"filtered\"\n GROUP BY \"bin_0\"\n),\n\"total\" AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM \"grouped\"\n)\nSELECT g.\"bin_0\", g.\"group_value\"\nFROM \"grouped\" AS g\nCROSS JOIN \"total\" AS t\nWHERE g.\"group_value\" > t.\"total_value\" * 0.05\nORDER BY g.\"group_value\" DESC;", "result": "{\"query\": \"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"filtered\\\" AS (\\n SELECT\\n \\\"bin_0\\\",\\n CAST(NULLIF(\\\"bin_1\\\", '') AS REAL) AS \\\"bin_1_value\\\"\\n FROM \\\"c15\\\"\\n WHERE NULLIF(\\\"bin_0\\\", '') IS NOT NULL\\n AND NULLIF(\\\"bin_1\\\", '') IS NOT NULL\\n),\\n\\\"grouped\\\" AS (\\n SELECT\\n \\\"bin_0\\\",\\n SUM(\\\"bin_1_value\\\") AS \\\"group_value\\\"\\n FROM \\\"filtered\\\"\\n GROUP BY \\\"bin_0\\\"\\n),\\n\\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT g.\\\"bin_0\\\", g.\\\"group_value\\\"\\nFROM \\\"grouped\\\" AS g\\nCROSS JOIN \\\"total\\\" AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.05\\nORDER BY g.\\\"group_value\\\" DESC;\", \"columns\": [\"bin_0\", \"group_value\"], \"rows\": [{\"bin_0\": \"0.0\", \"group_value\": 95199.0}, {\"bin_0\": \"1.0\", \"group_value\": 9508.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 391.93}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a3137313ca710a0d/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a3137313ca710a0d/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..f27cf112e4325116a9536136c78b2f62a090fd8d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a3137313ca710a0d/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c15", + "started_at": "2026-05-19T15:50:55.565563+00:00", + "ended_at": "2026-05-19T15:51:11.943036+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c15_a3137313ca710a0d", + "problem_id": "v2p_c15_a002a33bc8d40fa0", + "dataset_id": "c15", + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=bin_0, measure_col=bin_1.", + "bindings": { + "group_col": "bin_0", + "measure_col": "bin_1", + "top_k": 17, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.66, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=2/2", + "binding_index=72" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 1, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/sql/v2q_c15_a3137313ca710a0d.sql", + "usage_summary": { + "dataset_id": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_a3137313ca710a0d", + "api_calls": 0, + "input_tokens": 16198, + "cached_input_tokens": 14720, + "output_tokens": 804, + "total_tokens": 17002, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15951.91, + "sql_execution_elapsed_ms_total": 391.93, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a3137313ca710a0d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a3137313ca710a0d/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a3137313ca710a0d/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..66cdce2121101ec08f908b95111dfd37d7ad49a5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a3137313ca710a0d/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:51:11.549035+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 15951.91, "started_at": "2026-05-19T15:50:55.596033+00:00", "ended_at": "2026-05-19T15:51:11.547973+00:00", "prompt_metrics": {"chars": 12838, "bytes_utf8": 12838, "lines": 396, "estimated_tokens": null}, "response_metrics": {"chars": 933, "bytes_utf8": 933, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16198, "cached_input_tokens": 14720, "output_tokens": 804, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"filtered\\\" AS (\\n SELECT\\n \\\"bin_0\\\",\\n CAST(NULLIF(\\\"bin_1\\\", '') AS REAL) AS \\\"bin_1_value\\\"\\n FROM \\\"c15\\\"\\n WHERE NULLIF(\\\"bin_0\\\", '') IS NOT NULL\\n AND NULLIF(\\\"bin_1\\\", '') IS NOT NULL\\n),\\n\\\"grouped\\\" AS (\\n SELECT\\n \\\"bin_0\\\",\\n SUM(\\\"bin_1_value\\\") AS \\\"group_value\\\"\\n FROM \\\"filtered\\\"\\n GROUP BY \\\"bin_0\\\"\\n),\\n\\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT g.\\\"bin_0\\\", g.\\\"group_value\\\"\\nFROM \\\"grouped\\\" AS g\\nCROSS JOIN \\\"total\\\" AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.05\\nORDER BY g.\\\"group_value\\\" DESC;\",\"notes\":\"Used the planned Relative-to-Total Extreme Threshold template with group_col=bin_0 and measure_col=bin_1. Because both columns are stored as TEXT and can contain empty strings, the query filters empty values and casts bin_1 to REAL before summing.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a3137313ca710a0d/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a3137313ca710a0d/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..b1197faaf553e3d3de2144f4ef263e4b58e05369 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a3137313ca710a0d/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_a3137313ca710a0d", + "api_calls": 0, + "input_tokens": 16198, + "cached_input_tokens": 14720, + "output_tokens": 804, + "total_tokens": 17002, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15951.91, + "sql_execution_elapsed_ms_total": 391.93, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a3137313ca710a0d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a421470a5f03dc0b/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a421470a5f03dc0b/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..5329c2fe5e4a6e45fda703aa49670f0d884b5f3b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a421470a5f03dc0b/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=target, measure_col=day. +Result preview: [{"target": "0", "percentile_measure": 7.0}, {"target": "1", "percentile_measure": 7.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a421470a5f03dc0b/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a421470a5f03dc0b/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..454572c2da2b0e4e3b375c0031bf3cb30a0143b2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a421470a5f03dc0b/generated_sql.sql @@ -0,0 +1,62 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c15 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_concentration_consistency +-- intended_facet_id: rare_target_concentration +-- variant_semantic_role: focused_target_view +-- template_id: tpl_grouped_percentile_point +-- query_record_id: v2q_c15_a421470a5f03dc0b +-- problem_id: v2p_c15_6d3c202ce316e4db +-- realization_mode: agent +-- source_kind: agent +WITH "base" AS ( + SELECT + "target", + CAST(NULLIF("day", '') AS REAL) AS "day_value" + FROM "c15" + WHERE NULLIF("target", '') IS NOT NULL + AND NULLIF("day", '') IS NOT NULL +), +"ranked" AS ( + SELECT + "target", + "day_value", + ROW_NUMBER() OVER (PARTITION BY "target" ORDER BY "day_value") AS "rn", + COUNT(*) OVER (PARTITION BY "target") AS "cnt" + FROM "base" +), +"positions" AS ( + SELECT + "target", + "day_value", + "rn", + ((CAST("cnt" AS REAL) - 1.0) * 0.95) + 1.0 AS "p", + CAST(((CAST("cnt" AS REAL) - 1.0) * 0.95) + 1.0 AS INTEGER) AS "lower_rn", + CAST(((CAST("cnt" AS REAL) - 1.0) * 0.95) + 1.0 AS INTEGER) + + CASE + WHEN (((CAST("cnt" AS REAL) - 1.0) * 0.95) + 1.0) > CAST(((CAST("cnt" AS REAL) - 1.0) * 0.95) + 1.0 AS INTEGER) THEN 1 + ELSE 0 + END AS "upper_rn" + FROM "ranked" +), +"bounds" AS ( + SELECT + "target", + MAX("p") AS "p", + MAX("lower_rn") AS "lower_rn", + MAX("upper_rn") AS "upper_rn", + MAX(CASE WHEN "rn" = "lower_rn" THEN "day_value" END) AS "lower_value", + MAX(CASE WHEN "rn" = "upper_rn" THEN "day_value" END) AS "upper_value" + FROM "positions" + GROUP BY "target" +) +SELECT + "target", + CASE + WHEN "lower_rn" = "upper_rn" THEN "lower_value" + ELSE "lower_value" + ("p" - "lower_rn") * ("upper_value" - "lower_value") + END AS "percentile_measure" +FROM "bounds" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a421470a5f03dc0b/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a421470a5f03dc0b/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9c896c28ca7cdf46d738f5c5aa162a70fef34de2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a421470a5f03dc0b/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_grouped_percentile_point\nWITH \"base\" AS (\n SELECT\n \"target\",\n CAST(NULLIF(\"day\", '') AS REAL) AS \"day_value\"\n FROM \"c15\"\n WHERE NULLIF(\"target\", '') IS NOT NULL\n AND NULLIF(\"day\", '') IS NOT NULL\n),\n\"ranked\" AS (\n SELECT\n \"target\",\n \"day_value\",\n ROW_NUMBER() OVER (PARTITION BY \"target\" ORDER BY \"day_value\") AS \"rn\",\n COUNT(*) OVER (PARTITION BY \"target\") AS \"cnt\"\n FROM \"base\"\n),\n\"positions\" AS (\n SELECT\n \"target\",\n \"day_value\",\n \"rn\",\n ((CAST(\"cnt\" AS REAL) - 1.0) * 0.95) + 1.0 AS \"p\",\n CAST(((CAST(\"cnt\" AS REAL) - 1.0) * 0.95) + 1.0 AS INTEGER) AS \"lower_rn\",\n CAST(((CAST(\"cnt\" AS REAL) - 1.0) * 0.95) + 1.0 AS INTEGER)\n + CASE\n WHEN (((CAST(\"cnt\" AS REAL) - 1.0) * 0.95) + 1.0) > CAST(((CAST(\"cnt\" AS REAL) - 1.0) * 0.95) + 1.0 AS INTEGER) THEN 1\n ELSE 0\n END AS \"upper_rn\"\n FROM \"ranked\"\n),\n\"bounds\" AS (\n SELECT\n \"target\",\n MAX(\"p\") AS \"p\",\n MAX(\"lower_rn\") AS \"lower_rn\",\n MAX(\"upper_rn\") AS \"upper_rn\",\n MAX(CASE WHEN \"rn\" = \"lower_rn\" THEN \"day_value\" END) AS \"lower_value\",\n MAX(CASE WHEN \"rn\" = \"upper_rn\" THEN \"day_value\" END) AS \"upper_value\"\n FROM \"positions\"\n GROUP BY \"target\"\n)\nSELECT\n \"target\",\n CASE\n WHEN \"lower_rn\" = \"upper_rn\" THEN \"lower_value\"\n ELSE \"lower_value\" + (\"p\" - \"lower_rn\") * (\"upper_value\" - \"lower_value\")\n END AS \"percentile_measure\"\nFROM \"bounds\"\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"base\\\" AS (\\n SELECT\\n \\\"target\\\",\\n CAST(NULLIF(\\\"day\\\", '') AS REAL) AS \\\"day_value\\\"\\n FROM \\\"c15\\\"\\n WHERE NULLIF(\\\"target\\\", '') IS NOT NULL\\n AND NULLIF(\\\"day\\\", '') IS NOT NULL\\n),\\n\\\"ranked\\\" AS (\\n SELECT\\n \\\"target\\\",\\n \\\"day_value\\\",\\n ROW_NUMBER() OVER (PARTITION BY \\\"target\\\" ORDER BY \\\"day_value\\\") AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"target\\\") AS \\\"cnt\\\"\\n FROM \\\"base\\\"\\n),\\n\\\"positions\\\" AS (\\n SELECT\\n \\\"target\\\",\\n \\\"day_value\\\",\\n \\\"rn\\\",\\n ((CAST(\\\"cnt\\\" AS REAL) - 1.0) * 0.95) + 1.0 AS \\\"p\\\",\\n CAST(((CAST(\\\"cnt\\\" AS REAL) - 1.0) * 0.95) + 1.0 AS INTEGER) AS \\\"lower_rn\\\",\\n CAST(((CAST(\\\"cnt\\\" AS REAL) - 1.0) * 0.95) + 1.0 AS INTEGER)\\n + CASE\\n WHEN (((CAST(\\\"cnt\\\" AS REAL) - 1.0) * 0.95) + 1.0) > CAST(((CAST(\\\"cnt\\\" AS REAL) - 1.0) * 0.95) + 1.0 AS INTEGER) THEN 1\\n ELSE 0\\n END AS \\\"upper_rn\\\"\\n FROM \\\"ranked\\\"\\n),\\n\\\"bounds\\\" AS (\\n SELECT\\n \\\"target\\\",\\n MAX(\\\"p\\\") AS \\\"p\\\",\\n MAX(\\\"lower_rn\\\") AS \\\"lower_rn\\\",\\n MAX(\\\"upper_rn\\\") AS \\\"upper_rn\\\",\\n MAX(CASE WHEN \\\"rn\\\" = \\\"lower_rn\\\" THEN \\\"day_value\\\" END) AS \\\"lower_value\\\",\\n MAX(CASE WHEN \\\"rn\\\" = \\\"upper_rn\\\" THEN \\\"day_value\\\" END) AS \\\"upper_value\\\"\\n FROM \\\"positions\\\"\\n GROUP BY \\\"target\\\"\\n)\\nSELECT\\n \\\"target\\\",\\n CASE\\n WHEN \\\"lower_rn\\\" = \\\"upper_rn\\\" THEN \\\"lower_value\\\"\\n ELSE \\\"lower_value\\\" + (\\\"p\\\" - \\\"lower_rn\\\") * (\\\"upper_value\\\" - \\\"lower_value\\\")\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"bounds\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"target\", \"percentile_measure\"], \"rows\": [{\"target\": \"0\", \"percentile_measure\": 7.0}, {\"target\": \"1\", \"percentile_measure\": 7.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2048.62}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a421470a5f03dc0b/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a421470a5f03dc0b/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..cec88eb5afb5b7cd477ddab8a8d92e91100eaa41 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a421470a5f03dc0b/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c15", + "started_at": "2026-05-19T16:00:25.866821+00:00", + "ended_at": "2026-05-19T16:01:08.560926+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c15_a421470a5f03dc0b", + "problem_id": "v2p_c15_6d3c202ce316e4db", + "dataset_id": "c15", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=target, measure_col=day.", + "bindings": { + "group_col": "target", + "measure_col": "day", + "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": 5.64, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=2/2", + "binding_index=89" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 6, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/sql/v2q_c15_a421470a5f03dc0b.sql", + "usage_summary": { + "dataset_id": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_a421470a5f03dc0b", + "api_calls": 0, + "input_tokens": 16090, + "cached_input_tokens": 12032, + "output_tokens": 2710, + "total_tokens": 18800, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 40612.24, + "sql_execution_elapsed_ms_total": 2048.62, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a421470a5f03dc0b/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a421470a5f03dc0b/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a421470a5f03dc0b/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7e5740f6491709dee4eca6d5639dd7c29ad08303 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a421470a5f03dc0b/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:01:06.510554+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 40612.24, "started_at": "2026-05-19T16:00:25.897071+00:00", "ended_at": "2026-05-19T16:01:06.509346+00:00", "prompt_metrics": {"chars": 12460, "bytes_utf8": 12460, "lines": 396, "estimated_tokens": null}, "response_metrics": {"chars": 1960, "bytes_utf8": 1960, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16090, "cached_input_tokens": 12032, "output_tokens": 2710, "reasoning_output_tokens": 2070}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"base\\\" AS (\\n SELECT\\n \\\"target\\\",\\n CAST(NULLIF(\\\"day\\\", '') AS REAL) AS \\\"day_value\\\"\\n FROM \\\"c15\\\"\\n WHERE NULLIF(\\\"target\\\", '') IS NOT NULL\\n AND NULLIF(\\\"day\\\", '') IS NOT NULL\\n),\\n\\\"ranked\\\" AS (\\n SELECT\\n \\\"target\\\",\\n \\\"day_value\\\",\\n ROW_NUMBER() OVER (PARTITION BY \\\"target\\\" ORDER BY \\\"day_value\\\") AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"target\\\") AS \\\"cnt\\\"\\n FROM \\\"base\\\"\\n),\\n\\\"positions\\\" AS (\\n SELECT\\n \\\"target\\\",\\n \\\"day_value\\\",\\n \\\"rn\\\",\\n ((CAST(\\\"cnt\\\" AS REAL) - 1.0) * 0.95) + 1.0 AS \\\"p\\\",\\n CAST(((CAST(\\\"cnt\\\" AS REAL) - 1.0) * 0.95) + 1.0 AS INTEGER) AS \\\"lower_rn\\\",\\n CAST(((CAST(\\\"cnt\\\" AS REAL) - 1.0) * 0.95) + 1.0 AS INTEGER)\\n + CASE\\n WHEN (((CAST(\\\"cnt\\\" AS REAL) - 1.0) * 0.95) + 1.0) > CAST(((CAST(\\\"cnt\\\" AS REAL) - 1.0) * 0.95) + 1.0 AS INTEGER) THEN 1\\n ELSE 0\\n END AS \\\"upper_rn\\\"\\n FROM \\\"ranked\\\"\\n),\\n\\\"bou"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a421470a5f03dc0b/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a421470a5f03dc0b/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..d28687b59f8e80c6b92a8516018310643bca1982 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a421470a5f03dc0b/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_a421470a5f03dc0b", + "api_calls": 0, + "input_tokens": 16090, + "cached_input_tokens": 12032, + "output_tokens": 2710, + "total_tokens": 18800, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 40612.24, + "sql_execution_elapsed_ms_total": 2048.62, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a421470a5f03dc0b/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a4d6d4e64b4ccc32/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a4d6d4e64b4ccc32/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..809934ac4db2af59bea77f3f9bfb8f1464c100ba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a4d6d4e64b4ccc32/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": "2026-05-19T16:10:35.777144+00:00", + "ended_at": "2026-05-19T16:10:39.191498+00:00", + "elapsed_ms": 3414.32, + "returncode": 1, + "prompt_metrics": { + "chars": 12278, + "bytes_utf8": 12278, + "lines": 394, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a4d6d4e64b4ccc32/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a4d6d4e64b4ccc32/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..3cf685e9ea11fbbf0b8fc5c5bcbf9a96b4b5c69f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a4d6d4e64b4ccc32/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": "2026-05-19T16:10:40.193260+00:00", + "ended_at": "2026-05-19T16:10:43.495347+00:00", + "elapsed_ms": 3302.06, + "returncode": 1, + "prompt_metrics": { + "chars": 12278, + "bytes_utf8": 12278, + "lines": 394, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a4d6d4e64b4ccc32/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a4d6d4e64b4ccc32/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c0ec4dd7d5ccd316797b7c909480018a86dd4326 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a4d6d4e64b4ccc32/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,394 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=bin_1.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "bin_1", + "top_k": 17, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.75, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a4d6d4e64b4ccc32/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a4d6d4e64b4ccc32/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..c0ec4dd7d5ccd316797b7c909480018a86dd4326 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a4d6d4e64b4ccc32/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,394 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=bin_1.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "bin_1", + "top_k": 17, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.75, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a4d6d4e64b4ccc32/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a4d6d4e64b4ccc32/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6b7dfdb53366b8d90895622d0ccfd3d865243ecf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a4d6d4e64b4ccc32/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-dc8f-77c1-a34f-3ed12a88303d"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a4d6d4e64b4ccc32/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a4d6d4e64b4ccc32/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1f33b70059dbf6e817cbdce71699a8eabb4a6e97 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a4d6d4e64b4ccc32/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-dc8f-77c1-a34f-3ed12a88303d"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a4d6d4e64b4ccc32/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a4d6d4e64b4ccc32/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a8e88442b1f9d21992e5487033751304a0273865 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a4d6d4e64b4ccc32/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-edd2-7ea1-8f9b-8be1b6f231ea"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a4d6d4e64b4ccc32/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a4d6d4e64b4ccc32/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..fe11b9dc7bcb0ec8889450fc66a8880870bff752 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a4d6d4e64b4ccc32/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-edd2-7ea1-8f9b-8be1b6f231ea"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a4d6d4e64b4ccc32/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a4d6d4e64b4ccc32/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a4d6d4e64b4ccc32/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a4d6d4e64b4ccc32/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_aa8f5c0f48699acc/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_aa8f5c0f48699acc/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..4e5e034a9dd0f123250c3ad6e4913226f6c66eb3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_aa8f5c0f48699acc/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=bin_2, measure_col=ord_0. +Result preview: [{"bin_2": "0.0", "group_value": 793097.0}, {"bin_2": "1.0", "group_value": 306472.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_aa8f5c0f48699acc/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_aa8f5c0f48699acc/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..63418d9be8e7ac32de005c9f8d55863f8bd41f9a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_aa8f5c0f48699acc/generated_sql.sql @@ -0,0 +1,33 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c15 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: filtered_stable_view +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_c15_aa8f5c0f48699acc +-- problem_id: v2p_c15_865497bffe5a9237 +-- realization_mode: agent +-- source_kind: agent +WITH "grouped" AS ( + SELECT + "bin_2", + SUM(CAST("ord_0" AS REAL)) AS "group_value" + FROM "c15" + WHERE NULLIF(TRIM("bin_2"), '') IS NOT NULL + AND NULLIF(TRIM("ord_0"), '') IS NOT NULL + GROUP BY "bin_2" +), +"total" AS ( + SELECT SUM("group_value") AS "total_value" + FROM "grouped" +) +SELECT + g."bin_2", + g."group_value" +FROM "grouped" AS g +CROSS JOIN "total" AS t +WHERE g."group_value" > t."total_value" * 0.05 +ORDER BY g."group_value" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_aa8f5c0f48699acc/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_aa8f5c0f48699acc/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4eea276bd8467cdfccaed19037a8b8e695f57e4f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_aa8f5c0f48699acc/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpch_relative_total_threshold\nWITH \"grouped\" AS (\n SELECT\n \"bin_2\",\n SUM(CAST(\"ord_0\" AS REAL)) AS \"group_value\"\n FROM \"c15\"\n WHERE NULLIF(TRIM(\"bin_2\"), '') IS NOT NULL\n AND NULLIF(TRIM(\"ord_0\"), '') IS NOT NULL\n GROUP BY \"bin_2\"\n),\n\"total\" AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM \"grouped\"\n)\nSELECT\n g.\"bin_2\",\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;", "result": "{\"query\": \"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n SELECT\\n \\\"bin_2\\\",\\n SUM(CAST(\\\"ord_0\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"c15\\\"\\n WHERE NULLIF(TRIM(\\\"bin_2\\\"), '') IS NOT NULL\\n AND NULLIF(TRIM(\\\"ord_0\\\"), '') IS NOT NULL\\n GROUP BY \\\"bin_2\\\"\\n),\\n\\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT\\n g.\\\"bin_2\\\",\\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;\", \"columns\": [\"bin_2\", \"group_value\"], \"rows\": [{\"bin_2\": \"0.0\", \"group_value\": 793097.0}, {\"bin_2\": \"1.0\", \"group_value\": 306472.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 383.49}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_aa8f5c0f48699acc/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_aa8f5c0f48699acc/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..b9ddea8a4ccfd44dfb455648f7a9960089f92840 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_aa8f5c0f48699acc/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c15", + "started_at": "2026-05-19T15:52:01.046208+00:00", + "ended_at": "2026-05-19T15:52:17.223422+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c15_aa8f5c0f48699acc", + "problem_id": "v2p_c15_865497bffe5a9237", + "dataset_id": "c15", + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=bin_2, measure_col=ord_0.", + "bindings": { + "group_col": "bin_2", + "measure_col": "ord_0", + "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": 2.32, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=3", + "sql_variant_index=2/2", + "binding_index=74" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 3, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/sql/v2q_c15_aa8f5c0f48699acc.sql", + "usage_summary": { + "dataset_id": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_aa8f5c0f48699acc", + "api_calls": 0, + "input_tokens": 16198, + "cached_input_tokens": 14720, + "output_tokens": 768, + "total_tokens": 16966, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15759.62, + "sql_execution_elapsed_ms_total": 383.49, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_aa8f5c0f48699acc/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_aa8f5c0f48699acc/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_aa8f5c0f48699acc/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..850e055b4c16575bc71a464d5ae48fde4b7e87a8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_aa8f5c0f48699acc/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:52:16.837084+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 15759.62, "started_at": "2026-05-19T15:52:01.076263+00:00", "ended_at": "2026-05-19T15:52:16.835924+00:00", "prompt_metrics": {"chars": 12838, "bytes_utf8": 12838, "lines": 396, "estimated_tokens": null}, "response_metrics": {"chars": 812, "bytes_utf8": 812, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16198, "cached_input_tokens": 14720, "output_tokens": 768, "reasoning_output_tokens": 513}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n SELECT\\n \\\"bin_2\\\",\\n SUM(CAST(\\\"ord_0\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"c15\\\"\\n WHERE NULLIF(TRIM(\\\"bin_2\\\"), '') IS NOT NULL\\n AND NULLIF(TRIM(\\\"ord_0\\\"), '') IS NOT NULL\\n GROUP BY \\\"bin_2\\\"\\n),\\n\\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT\\n g.\\\"bin_2\\\",\\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 planned Relative-to-Total Extreme Threshold template with group_col=\\\"bin_2\\\" and measure_col=\\\"ord_0\\\". Empty strings are filtered out for a stable grouped view, and \\\"ord_0\\\" is cast to REAL for SQLite-safe aggregation.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_aa8f5c0f48699acc/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_aa8f5c0f48699acc/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..0162608dc85d840f240794a7d1fe743417b1e605 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_aa8f5c0f48699acc/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_aa8f5c0f48699acc", + "api_calls": 0, + "input_tokens": 16198, + "cached_input_tokens": 14720, + "output_tokens": 768, + "total_tokens": 16966, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15759.62, + "sql_execution_elapsed_ms_total": 383.49, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_aa8f5c0f48699acc/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_aa95cc42a12adb89/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_aa95cc42a12adb89/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..71b702e77b3b33e9d98751955b734a43ad6e1ad0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_aa95cc42a12adb89/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12836, "bytes_utf8": 12836, "lines": 396, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 843, "bytes_utf8": 843, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16198, "cached_input_tokens": 14720, "output_tokens": 777, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_aa95cc42a12adb89/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_aa95cc42a12adb89/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..2fac252bae16b7ea63f4a6f5722031e460106e90 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_aa95cc42a12adb89/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_aa95cc42a12adb89", + "api_calls": 0, + "input_tokens": 16198, + "cached_input_tokens": 14720, + "output_tokens": 777, + "total_tokens": 16975, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 19253.34, + "sql_execution_elapsed_ms_total": 344.64, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_aa95cc42a12adb89/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_aa95cc42a12adb89/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_aa95cc42a12adb89/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..819876acf059984f60b252c8e9a6094da206e178 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_aa95cc42a12adb89/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": "2026-05-19T15:51:11.973586+00:00", + "ended_at": "2026-05-19T15:51:31.226956+00:00", + "elapsed_ms": 19253.34, + "prompt_metrics": { + "chars": 12836, + "bytes_utf8": 12836, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1304, + "bytes_utf8": 1304, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 843, + "bytes_utf8": 843, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16198, + "cached_input_tokens": 14720, + "output_tokens": 777, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_aa95cc42a12adb89/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_aa95cc42a12adb89/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..73d8684c1ed1e71f1f78820fde46b8ea50d5e2b2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_aa95cc42a12adb89/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,396 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=bin_1, measure_col=bin_2.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "bin_1", + "measure_col": "bin_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": 0.75, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_aa95cc42a12adb89/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_aa95cc42a12adb89/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..3fcc7103836f816eb34783e43ef01c83a75032a3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_aa95cc42a12adb89/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ef-1a8c-74b0-aacb-edc24156ad96"} +{"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 \\\"bin_1\\\",\\n SUM(CAST(NULLIF(\\\"bin_2\\\", '') AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"c15\\\"\\n WHERE NULLIF(\\\"bin_1\\\", '') IS NOT NULL\\n AND NULLIF(\\\"bin_2\\\", '') IS NOT NULL\\n GROUP BY \\\"bin_1\\\"\\n), \\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT\\n \\\"g\\\".\\\"bin_1\\\",\\n \\\"g\\\".\\\"group_value\\\"\\nFROM \\\"grouped\\\" AS \\\"g\\\"\\nCROSS JOIN \\\"total\\\" AS \\\"t\\\"\\nWHERE \\\"g\\\".\\\"group_value\\\" > \\\"t\\\".\\\"total_value\\\" * 0.1\\nORDER BY \\\"g\\\".\\\"group_value\\\" DESC;\",\"notes\":\"Uses the required template with group_col=\\\"bin_1\\\" and measure_col=\\\"bin_2\\\". Empty-string missing values are filtered out, and \\\"bin_2\\\" is cast to REAL so SUM is SQLite-compatible on the TEXT-backed schema.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16198,"cached_input_tokens":14720,"output_tokens":777,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_aa95cc42a12adb89/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_aa95cc42a12adb89/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7cc2d19fd3505518eeb31e6810bc14dd2f90fb48 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_aa95cc42a12adb89/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH \"grouped\" AS (\n SELECT\n \"bin_1\",\n SUM(CAST(NULLIF(\"bin_2\", '') AS REAL)) AS \"group_value\"\n FROM \"c15\"\n WHERE NULLIF(\"bin_1\", '') IS NOT NULL\n AND NULLIF(\"bin_2\", '') IS NOT NULL\n GROUP BY \"bin_1\"\n), \"total\" AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM \"grouped\"\n)\nSELECT\n \"g\".\"bin_1\",\n \"g\".\"group_value\"\nFROM \"grouped\" AS \"g\"\nCROSS JOIN \"total\" AS \"t\"\nWHERE \"g\".\"group_value\" > \"t\".\"total_value\" * 0.1\nORDER BY \"g\".\"group_value\" DESC;","notes":"Uses the required template with group_col=\"bin_1\" and measure_col=\"bin_2\". Empty-string missing values are filtered out, and \"bin_2\" is cast to REAL so SUM is SQLite-compatible on the TEXT-backed schema."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_aa95cc42a12adb89/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_aa95cc42a12adb89/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ac15e848cde83782/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ac15e848cde83782/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..f7350b02c8c3af979d1b7394e6e35b596b16e38e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ac15e848cde83782/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c15", + "started_at": "2026-05-19T15:59:06.654035+00:00", + "ended_at": "2026-05-19T15:59:15.679943+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c15_ac15e848cde83782", + "problem_id": "v2p_c15_b89f7852af59c97f", + "dataset_id": "c15", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=month, measure_col=ord_0.", + "bindings": { + "group_col": "month", + "measure_col": "ord_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": 2.5, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=1/2", + "binding_index=88" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ac15e848cde83782/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ac15e848cde83782/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..92153dd4e593858d7dafbf938a6433171c8ad488 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ac15e848cde83782/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:59:09.848277+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3157.39, "started_at": "2026-05-19T15:59:06.689896+00:00", "ended_at": "2026-05-19T15:59:09.847315+00:00", "prompt_metrics": {"chars": 12459, "bytes_utf8": 12459, "lines": 396, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f6-58d5-7e32-a3db-bb78d66e5435\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T15:59:15.679825+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 4828.86, "started_at": "2026-05-19T15:59:10.849759+00:00", "ended_at": "2026-05-19T15:59:15.678658+00:00", "prompt_metrics": {"chars": 12459, "bytes_utf8": 12459, "lines": 396, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f6-6918-7df1-a87c-5db8603929f2\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ac34622b3d812118/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ac34622b3d812118/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..4dbf24c41e5c89b2ab6f6c52b96ed87950a7ece7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ac34622b3d812118/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=bin_4, measure_col=ord_0. +Result preview: [{"bin_4": "N", "total_measure": 590067.0}, {"bin_4": "Y", "total_measure": 509036.0}, {"bin_4": "", "total_measure": 34202.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ac34622b3d812118/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ac34622b3d812118/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..451b0d73c83e2eb4bdd67b34ff69505092c0af3b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ac34622b3d812118/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c15 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_conditional_contrast +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_c15_ac34622b3d812118 +-- problem_id: v2p_c15_3ca5f0b3d8e463dd +-- realization_mode: agent +-- source_kind: agent +SELECT "bin_4", SUM(CAST(NULLIF("ord_0", '') AS REAL)) AS "total_measure" +FROM "c15" +GROUP BY "bin_4" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ac34622b3d812118/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ac34622b3d812118/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..144619b8be1226ccf1a0cb35e11bfa5b982f1971 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ac34622b3d812118/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:30:28.970629+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 12206.19, "started_at": "2026-05-19T15:30:16.763638+00:00", "ended_at": "2026-05-19T15:30:28.969857+00:00", "prompt_metrics": {"chars": 12282, "bytes_utf8": 12282, "lines": 396, "estimated_tokens": null}, "response_metrics": {"chars": 463, "bytes_utf8": 463, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16060, "cached_input_tokens": 12032, "output_tokens": 391, "reasoning_output_tokens": 260}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"bin_4\\\", SUM(CAST(NULLIF(\\\"ord_0\\\", '') AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"c15\\\"\\nGROUP BY \\\"bin_4\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Used the planned Grouped Numeric Sum template with \\\"bin_4\\\" as the grouping column and \\\"ord_0\\\" as the measure. Because \\\"ord_0\\\" is stored as TEXT and may contain empty strings, NULLIF plus CAST to REAL ensures SQLite sums numeric values and ignores blanks.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ac6e299ab4b63800/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ac6e299ab4b63800/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..01adcb5c5d261a99471b9a39ae2f1b37f4291ffe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ac6e299ab4b63800/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12687, "bytes_utf8": 12687, "lines": 398, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 736, "bytes_utf8": 736, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16180, "cached_input_tokens": 14720, "output_tokens": 749, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ac6e299ab4b63800/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ac6e299ab4b63800/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..e61f3e776d9f949307b9b082187ca5422699ecbb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ac6e299ab4b63800/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_ac6e299ab4b63800", + "api_calls": 0, + "input_tokens": 16180, + "cached_input_tokens": 14720, + "output_tokens": 749, + "total_tokens": 16929, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 16896.53, + "sql_execution_elapsed_ms_total": 775.54, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ac6e299ab4b63800/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ac6e299ab4b63800/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ac6e299ab4b63800/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f387fdfd3f81a01abcee129d28e11e2568eded19 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ac6e299ab4b63800/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": "2026-05-19T15:41:02.113826+00:00", + "ended_at": "2026-05-19T15:41:19.010397+00:00", + "elapsed_ms": 16896.53, + "prompt_metrics": { + "chars": 12687, + "bytes_utf8": 12687, + "lines": 398, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1136, + "bytes_utf8": 1136, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 736, + "bytes_utf8": 736, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16180, + "cached_input_tokens": 14720, + "output_tokens": 749, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ac6e299ab4b63800/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ac6e299ab4b63800/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..91e592b01b724c9f3b475e95aac23440f4d883b3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ac6e299ab4b63800/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,398 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=ord_4, measure_col=ord_0.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "ord_4", + "measure_col": "ord_0", + "item_col": "nom_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": 2.5, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ac6e299ab4b63800/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ac6e299ab4b63800/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..996914cf1d113186455f4ddcc5d78da4dc630515 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ac6e299ab4b63800/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e5-cc24-7442-81e8-45f86d205844"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"ord_4\\\", \\\"nom_5\\\",\\n SUM(CAST(NULLIF(\\\"ord_0\\\", '') AS REAL)) AS total_measure,\\n SUM(CAST(NULLIF(\\\"ord_0\\\", '') AS REAL)) * 100.0\\n / SUM(SUM(CAST(NULLIF(\\\"ord_0\\\", '') AS REAL))) OVER (PARTITION BY \\\"ord_4\\\") AS share_within_group\\nFROM \\\"c15\\\"\\nWHERE NULLIF(\\\"ord_4\\\", '') IS NOT NULL\\n AND NULLIF(\\\"nom_5\\\", '') IS NOT NULL\\n AND NULLIF(\\\"ord_0\\\", '') IS NOT NULL\\nGROUP BY \\\"ord_4\\\", \\\"nom_5\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Uses the required template with group_col=\\\"ord_4\\\", item_col=\\\"nom_5\\\", and measure_col=\\\"ord_0\\\". Blank strings are excluded, and \\\"ord_0\\\" is cast to REAL because the SQLite snapshot stores it as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16180,"cached_input_tokens":14720,"output_tokens":749,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ac6e299ab4b63800/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ac6e299ab4b63800/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..17f509b00e32ccc316cfb859245b2e3871a5ffe5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ac6e299ab4b63800/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"ord_4\", \"nom_5\",\n SUM(CAST(NULLIF(\"ord_0\", '') AS REAL)) AS total_measure,\n SUM(CAST(NULLIF(\"ord_0\", '') AS REAL)) * 100.0\n / SUM(SUM(CAST(NULLIF(\"ord_0\", '') AS REAL))) OVER (PARTITION BY \"ord_4\") AS share_within_group\nFROM \"c15\"\nWHERE NULLIF(\"ord_4\", '') IS NOT NULL\n AND NULLIF(\"nom_5\", '') IS NOT NULL\n AND NULLIF(\"ord_0\", '') IS NOT NULL\nGROUP BY \"ord_4\", \"nom_5\"\nORDER BY share_within_group DESC;","notes":"Uses the required template with group_col=\"ord_4\", item_col=\"nom_5\", and measure_col=\"ord_0\". Blank strings are excluded, and \"ord_0\" is cast to REAL because the SQLite snapshot stores it as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ac6e299ab4b63800/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ac6e299ab4b63800/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ad556163c450010a/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ad556163c450010a/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..81558ca6c37ccbeb90962f3140562220777bc2ba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ad556163c450010a/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=nom_0, measure_col=day. +Result preview: [{"nom_0": "Red", "total_measure": 1288323.0}, {"nom_0": "Blue", "total_measure": 822159.0}, {"nom_0": "Green", "total_measure": 210432.0}, {"nom_0": "", "total_measure": 72914.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ad556163c450010a/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ad556163c450010a/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..1566c95457170a72e7063a043b4000a43b0e8ba0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ad556163c450010a/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c15 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_distribution_shift +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_c15_ad556163c450010a +-- problem_id: v2p_c15_9f4af0a269f3516a +-- realization_mode: agent +-- source_kind: agent +SELECT "nom_0", SUM(CAST(NULLIF("day", '') AS REAL)) AS "total_measure" +FROM "c15" +GROUP BY "nom_0" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ad556163c450010a/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ad556163c450010a/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8c25cfe9c752aead8b9de1376558d68a50fe7ec7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ad556163c450010a/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_h2o_group_sum\nSELECT \"nom_0\", SUM(CAST(NULLIF(\"day\", '') AS REAL)) AS \"total_measure\"\nFROM \"c15\"\nGROUP BY \"nom_0\"\nORDER BY \"total_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"nom_0\\\", SUM(CAST(NULLIF(\\\"day\\\", '') AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"c15\\\"\\nGROUP BY \\\"nom_0\\\"\\nORDER BY \\\"total_measure\\\" DESC;\", \"columns\": [\"nom_0\", \"total_measure\"], \"rows\": [{\"nom_0\": \"Red\", \"total_measure\": 1288323.0}, {\"nom_0\": \"Blue\", \"total_measure\": 822159.0}, {\"nom_0\": \"Green\", \"total_measure\": 210432.0}, {\"nom_0\": \"\", \"total_measure\": 72914.0}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 336.69}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ad556163c450010a/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ad556163c450010a/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..0600e3bb55e916da30722ee4383821da2adb435d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ad556163c450010a/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c15", + "started_at": "2026-05-19T15:30:52.244851+00:00", + "ended_at": "2026-05-19T15:31:01.847536+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c15_ad556163c450010a", + "problem_id": "v2p_c15_9f4af0a269f3516a", + "dataset_id": "c15", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=nom_0, measure_col=day.", + "bindings": { + "group_col": "nom_0", + "measure_col": "day", + "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": 5.64, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=2/2", + "binding_index=5" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 6, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/sql/v2q_c15_ad556163c450010a.sql", + "usage_summary": { + "dataset_id": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_ad556163c450010a", + "api_calls": 0, + "input_tokens": 16056, + "cached_input_tokens": 15744, + "output_tokens": 347, + "total_tokens": 16403, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9229.04, + "sql_execution_elapsed_ms_total": 336.69, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ad556163c450010a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ad556163c450010a/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ad556163c450010a/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..468e78eddb90e00ecad99de05aaf3946fd195a1d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ad556163c450010a/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:31:01.509126+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 9229.04, "started_at": "2026-05-19T15:30:52.279294+00:00", "ended_at": "2026-05-19T15:31:01.508372+00:00", "prompt_metrics": {"chars": 12279, "bytes_utf8": 12279, "lines": 396, "estimated_tokens": null}, "response_metrics": {"chars": 399, "bytes_utf8": 399, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16056, "cached_input_tokens": 15744, "output_tokens": 347, "reasoning_output_tokens": 234}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"nom_0\\\", SUM(CAST(NULLIF(\\\"day\\\", '') AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"c15\\\"\\nGROUP BY \\\"nom_0\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Used the provided grouped-sum template with group_col=\\\"nom_0\\\" and measure_col=\\\"day\\\". Casted \\\"day\\\" from TEXT to REAL and treated empty strings as NULL for SQLite-compatible numeric aggregation.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ad556163c450010a/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ad556163c450010a/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..206654a4e14811323517572235208fa7aa172662 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ad556163c450010a/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_ad556163c450010a", + "api_calls": 0, + "input_tokens": 16056, + "cached_input_tokens": 15744, + "output_tokens": 347, + "total_tokens": 16403, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9229.04, + "sql_execution_elapsed_ms_total": 336.69, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ad556163c450010a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_af310ef7459ca3aa/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_af310ef7459ca3aa/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..393020d3add3153f6ddf1b509819d1707a91a758 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_af310ef7459ca3aa/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": "2026-05-19T16:09:43.222150+00:00", + "ended_at": "2026-05-19T16:09:46.370869+00:00", + "elapsed_ms": 3148.69, + "returncode": 1, + "prompt_metrics": { + "chars": 12275, + "bytes_utf8": 12275, + "lines": 394, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_af310ef7459ca3aa/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_af310ef7459ca3aa/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ca2614f2a791b21c58c6d0c6f9b86f37d55025ba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_af310ef7459ca3aa/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": "2026-05-19T16:09:47.373154+00:00", + "ended_at": "2026-05-19T16:09:50.702744+00:00", + "elapsed_ms": 3329.55, + "returncode": 1, + "prompt_metrics": { + "chars": 12275, + "bytes_utf8": 12275, + "lines": 394, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_af310ef7459ca3aa/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_af310ef7459ca3aa/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..046122f926a91c443f4d8ad481de07418d88a82e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_af310ef7459ca3aa/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,394 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=month.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "month", + "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": 6.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_af310ef7459ca3aa/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_af310ef7459ca3aa/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..046122f926a91c443f4d8ad481de07418d88a82e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_af310ef7459ca3aa/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,394 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=month.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "month", + "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": 6.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_af310ef7459ca3aa/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_af310ef7459ca3aa/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..9498e29410e61525fbd207683c1a492305445e1b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_af310ef7459ca3aa/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-0f4c-7a73-9844-3c02d00bf462"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_af310ef7459ca3aa/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_af310ef7459ca3aa/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1ab017d2122cdf6c35840ae864e0aa139165f642 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_af310ef7459ca3aa/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-0f4c-7a73-9844-3c02d00bf462"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_af310ef7459ca3aa/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_af310ef7459ca3aa/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..7043f2abee5f953eadcfe4d9be95e6cb1e13175c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_af310ef7459ca3aa/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-1f6f-7702-ad21-e60f9954805c"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_af310ef7459ca3aa/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_af310ef7459ca3aa/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e71ae4fd27a14511d01f68336982bbda843ae033 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_af310ef7459ca3aa/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-1f6f-7702-ad21-e60f9954805c"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_af310ef7459ca3aa/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_af310ef7459ca3aa/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_af310ef7459ca3aa/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_af310ef7459ca3aa/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_afcf27928ba29b72/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_afcf27928ba29b72/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..55985619ae9636274eb110773429c006f900a4c5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_afcf27928ba29b72/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=nom_3, condition_col=nom_3. +Result preview: [{"nom_3": "India", "condition_rate": 1.0}, {"nom_3": "Russia", "condition_rate": 0.0}, {"nom_3": "Finland", "condition_rate": 0.0}, {"nom_3": "Costa Rica", "condition_rate": 0.0}, {"nom_3": "China", "condition_rate": 0.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_afcf27928ba29b72/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_afcf27928ba29b72/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..d5987caee0c9646ac5483c31f223973f15da81a1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_afcf27928ba29b72/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c15 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: focused_target_view +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_c15_afcf27928ba29b72 +-- problem_id: v2p_c15_255a6913e4991658 +-- realization_mode: agent +-- source_kind: agent +SELECT "nom_3", + AVG(CASE WHEN "nom_3" = 'India' THEN 1 ELSE 0 END) AS condition_rate +FROM "c15" +GROUP BY "nom_3" +ORDER BY condition_rate DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_afcf27928ba29b72/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_afcf27928ba29b72/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7254ef84a536f0f07fcc2d7908fb22e39570a799 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_afcf27928ba29b72/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 2, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_condition_rate.\nSELECT \"nom_3\",\n AVG(CASE WHEN \"nom_3\" = 'India' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"c15\"\nGROUP BY \"nom_3\"\nORDER BY condition_rate DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate.\\nSELECT \\\"nom_3\\\",\\n AVG(CASE WHEN \\\"nom_3\\\" = 'India' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"c15\\\"\\nGROUP BY \\\"nom_3\\\"\\nORDER BY condition_rate DESC;\", \"columns\": [\"nom_3\", \"condition_rate\"], \"rows\": [{\"nom_3\": \"India\", \"condition_rate\": 1.0}, {\"nom_3\": \"Russia\", \"condition_rate\": 0.0}, {\"nom_3\": \"Finland\", \"condition_rate\": 0.0}, {\"nom_3\": \"Costa Rica\", \"condition_rate\": 0.0}, {\"nom_3\": \"China\", \"condition_rate\": 0.0}, {\"nom_3\": \"Canada\", \"condition_rate\": 0.0}, {\"nom_3\": \"\", \"condition_rate\": 0.0}], \"row_count_returned\": 7, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 311.86}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_afcf27928ba29b72/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_afcf27928ba29b72/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..77ee8522307fa6f1f7637cbb75dee34c43e624f5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_afcf27928ba29b72/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c15", + "started_at": "2026-05-19T16:05:12.109272+00:00", + "ended_at": "2026-05-19T16:05:27.714231+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c15_afcf27928ba29b72", + "problem_id": "v2p_c15_255a6913e4991658", + "dataset_id": "c15", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=nom_3, condition_col=nom_3.", + "bindings": { + "group_col": "nom_3", + "condition_col": "nom_3", + "condition_value": "India", + "positive_value": "Costa Rica", + "negative_value": "India", + "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": 509036.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=3", + "sql_variant_index=2/2", + "binding_index=98" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 3, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/sql/v2q_c15_afcf27928ba29b72.sql", + "usage_summary": { + "dataset_id": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_afcf27928ba29b72", + "api_calls": 0, + "input_tokens": 16123, + "cached_input_tokens": 12032, + "output_tokens": 467, + "total_tokens": 16590, + "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": 14257.31, + "sql_execution_elapsed_ms_total": 311.86, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_afcf27928ba29b72/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_afcf27928ba29b72/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_afcf27928ba29b72/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..cb18360fcf3eb15edac24b854037f26e8898aa87 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_afcf27928ba29b72/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:05:16.037676+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3896.43, "started_at": "2026-05-19T16:05:12.140506+00:00", "ended_at": "2026-05-19T16:05:16.036966+00:00", "prompt_metrics": {"chars": 12549, "bytes_utf8": 12549, "lines": 399, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fb-ec5b-7b63-b8c9-f252c9f8f842\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:05:27.400280+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 10360.88, "started_at": "2026-05-19T16:05:17.038540+00:00", "ended_at": "2026-05-19T16:05:27.399445+00:00", "prompt_metrics": {"chars": 12549, "bytes_utf8": 12549, "lines": 399, "estimated_tokens": null}, "response_metrics": {"chars": 370, "bytes_utf8": 370, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16123, "cached_input_tokens": 12032, "output_tokens": 467, "reasoning_output_tokens": 358}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate.\\nSELECT \\\"nom_3\\\",\\n AVG(CASE WHEN \\\"nom_3\\\" = 'India' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"c15\\\"\\nGROUP BY \\\"nom_3\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Used the provided Grouped Condition Rate template with both group_col and condition_col bound to \\\"nom_3\\\" and condition_value set to 'India'.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_afcf27928ba29b72/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_afcf27928ba29b72/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..8341f09c6d19bb738c9be15f3e17a07c77865b39 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_afcf27928ba29b72/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_afcf27928ba29b72", + "api_calls": 0, + "input_tokens": 16123, + "cached_input_tokens": 12032, + "output_tokens": 467, + "total_tokens": 16590, + "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": 14257.31, + "sql_execution_elapsed_ms_total": 311.86, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_afcf27928ba29b72/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b0a24034dc9a46af/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b0a24034dc9a46af/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..3fccf1fc996ffb53a0eb010d4e05b72f1b1ac5c1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b0a24034dc9a46af/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=bin_3, measure_col=bin_2. +Result preview: [{"bin_3": "F", "total_measure": 99048.0}, {"bin_3": "T", "total_measure": 58354.0}, {"bin_3": "", "total_measure": 4823.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b0a24034dc9a46af/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b0a24034dc9a46af/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..e48747b4da069a9c8320e023eb2e05f6cbab39d1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b0a24034dc9a46af/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c15 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_distribution_shift +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_c15_b0a24034dc9a46af +-- problem_id: v2p_c15_84a2c250f0c425af +-- realization_mode: agent +-- source_kind: agent +SELECT "bin_3", SUM(CAST(NULLIF("bin_2", '') AS REAL)) AS total_measure +FROM "c15" +GROUP BY "bin_3" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b0a24034dc9a46af/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b0a24034dc9a46af/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b289b93552a8b25384ca403a70aed45c7fe36ef4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b0a24034dc9a46af/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_h2o_group_sum\nSELECT \"bin_3\", SUM(CAST(NULLIF(\"bin_2\", '') AS REAL)) AS total_measure\nFROM \"c15\"\nGROUP BY \"bin_3\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"bin_3\\\", SUM(CAST(NULLIF(\\\"bin_2\\\", '') AS REAL)) AS total_measure\\nFROM \\\"c15\\\"\\nGROUP BY \\\"bin_3\\\"\\nORDER BY total_measure DESC;\", \"columns\": [\"bin_3\", \"total_measure\"], \"rows\": [{\"bin_3\": \"F\", \"total_measure\": 99048.0}, {\"bin_3\": \"T\", \"total_measure\": 58354.0}, {\"bin_3\": \"\", \"total_measure\": 4823.0}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 307.75}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b0a24034dc9a46af/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b0a24034dc9a46af/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..b0457345baeef52e5b72da47bb25e6a5d617af7a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b0a24034dc9a46af/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c15", + "started_at": "2026-05-19T15:29:22.978015+00:00", + "ended_at": "2026-05-19T15:29:35.022284+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c15_b0a24034dc9a46af", + "problem_id": "v2p_c15_84a2c250f0c425af", + "dataset_id": "c15", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=bin_3, measure_col=bin_2.", + "bindings": { + "group_col": "bin_3", + "measure_col": "bin_2", + "top_k": 13, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.75, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=1/2", + "binding_index=3" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/sql/v2q_c15_b0a24034dc9a46af.sql", + "usage_summary": { + "dataset_id": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_b0a24034dc9a46af", + "api_calls": 0, + "input_tokens": 16060, + "cached_input_tokens": 15744, + "output_tokens": 507, + "total_tokens": 16567, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11702.39, + "sql_execution_elapsed_ms_total": 307.75, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b0a24034dc9a46af/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b0a24034dc9a46af/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b0a24034dc9a46af/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2d3f87b2b34e6b4112a6cb3e554814a649b32861 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b0a24034dc9a46af/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:29:34.712852+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 11702.39, "started_at": "2026-05-19T15:29:23.009569+00:00", "ended_at": "2026-05-19T15:29:34.712043+00:00", "prompt_metrics": {"chars": 12280, "bytes_utf8": 12280, "lines": 396, "estimated_tokens": null}, "response_metrics": {"chars": 403, "bytes_utf8": 403, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16060, "cached_input_tokens": 15744, "output_tokens": 507, "reasoning_output_tokens": 389}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"bin_3\\\", SUM(CAST(NULLIF(\\\"bin_2\\\", '') AS REAL)) AS total_measure\\nFROM \\\"c15\\\"\\nGROUP BY \\\"bin_3\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the planned Grouped Numeric Sum template with group_col=\\\"bin_3\\\" and measure_col=\\\"bin_2\\\". Since \\\"bin_2\\\" is stored as TEXT, NULLIF plus CAST keeps the sum SQLite-compatible and ignores empty strings.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b0a24034dc9a46af/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b0a24034dc9a46af/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..28d1500dfac2d817cf923bff5bfde82950111703 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b0a24034dc9a46af/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_b0a24034dc9a46af", + "api_calls": 0, + "input_tokens": 16060, + "cached_input_tokens": 15744, + "output_tokens": 507, + "total_tokens": 16567, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11702.39, + "sql_execution_elapsed_ms_total": 307.75, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b0a24034dc9a46af/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b432814556b5f6d1/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b432814556b5f6d1/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..91d56c36c95d4fb5c450b7e22dba51c0e7013e42 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b432814556b5f6d1/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=ord_2, measure_col=id. +Result preview: [{"ord_2": "", "percentile_measure": 541871.8}, {"ord_2": "Boiling Hot", "percentile_measure": 540447.1}, {"ord_2": "Cold", "percentile_measure": 540377.5}, {"ord_2": "Lava Hot", "percentile_measure": 540190.5}, {"ord_2": "Freezing", "percentile_measure": 540031.5}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b432814556b5f6d1/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b432814556b5f6d1/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..8619814d357dd4edfe592a78357bb5af4c71f852 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b432814556b5f6d1/generated_sql.sql @@ -0,0 +1,55 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c15 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_concentration_consistency +-- intended_facet_id: rare_target_concentration +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_grouped_percentile_point +-- query_record_id: v2q_c15_b432814556b5f6d1 +-- problem_id: v2p_c15_d60504b8b00b1cdc +-- realization_mode: agent +-- source_kind: agent +WITH "ordered" AS ( + SELECT + "ord_2", + CAST(NULLIF("id", '') AS REAL) AS "measure_value", + ROW_NUMBER() OVER ( + PARTITION BY "ord_2" + ORDER BY CAST(NULLIF("id", '') AS REAL) + ) AS "rn", + COUNT(*) OVER (PARTITION BY "ord_2") AS "cnt" + FROM "c15" + WHERE NULLIF("id", '') IS NOT NULL +), +"targets" AS ( + SELECT + "ord_2", + (0.9 * ("cnt" - 1)) + 1.0 AS "target_rn", + CAST(((0.9 * ("cnt" - 1)) + 1.0) AS INTEGER) AS "lower_rn", + CASE + WHEN ((0.9 * ("cnt" - 1)) + 1.0) = CAST(((0.9 * ("cnt" - 1)) + 1.0) AS INTEGER) + THEN CAST(((0.9 * ("cnt" - 1)) + 1.0) AS INTEGER) + ELSE CAST(((0.9 * ("cnt" - 1)) + 1.0) AS INTEGER) + 1 + END AS "upper_rn" + FROM "ordered" + GROUP BY "ord_2", "cnt" +) +SELECT + o."ord_2", + CASE + WHEN t."lower_rn" = t."upper_rn" THEN + MAX(CASE WHEN o."rn" = t."lower_rn" THEN o."measure_value" END) + ELSE + MAX(CASE WHEN o."rn" = t."lower_rn" THEN o."measure_value" END) + + (t."target_rn" - t."lower_rn") * ( + MAX(CASE WHEN o."rn" = t."upper_rn" THEN o."measure_value" END) - + MAX(CASE WHEN o."rn" = t."lower_rn" THEN o."measure_value" END) + ) + END AS "percentile_measure" +FROM "ordered" AS o +JOIN "targets" AS t + ON o."ord_2" = t."ord_2" +GROUP BY o."ord_2", t."target_rn", t."lower_rn", t."upper_rn" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b432814556b5f6d1/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b432814556b5f6d1/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3c4e0b2da1cf0c2c573e767db154bd8109af72ce --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b432814556b5f6d1/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 2, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_grouped_percentile_point\nWITH \"ordered\" AS (\n SELECT\n \"ord_2\",\n CAST(NULLIF(\"id\", '') AS REAL) AS \"measure_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"ord_2\"\n ORDER BY CAST(NULLIF(\"id\", '') AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (PARTITION BY \"ord_2\") AS \"cnt\"\n FROM \"c15\"\n WHERE NULLIF(\"id\", '') IS NOT NULL\n),\n\"targets\" AS (\n SELECT\n \"ord_2\",\n (0.9 * (\"cnt\" - 1)) + 1.0 AS \"target_rn\",\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 GROUP BY \"ord_2\", \"cnt\"\n)\nSELECT\n o.\"ord_2\",\n CASE\n WHEN t.\"lower_rn\" = t.\"upper_rn\" THEN\n MAX(CASE WHEN o.\"rn\" = t.\"lower_rn\" THEN o.\"measure_value\" END)\n ELSE\n MAX(CASE WHEN o.\"rn\" = t.\"lower_rn\" THEN o.\"measure_value\" END) +\n (t.\"target_rn\" - t.\"lower_rn\") * (\n MAX(CASE WHEN o.\"rn\" = t.\"upper_rn\" THEN o.\"measure_value\" END) -\n MAX(CASE WHEN o.\"rn\" = t.\"lower_rn\" THEN o.\"measure_value\" END)\n )\n END AS \"percentile_measure\"\nFROM \"ordered\" AS o\nJOIN \"targets\" AS t\n ON o.\"ord_2\" = t.\"ord_2\"\nGROUP BY o.\"ord_2\", t.\"target_rn\", t.\"lower_rn\", t.\"upper_rn\"\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n SELECT\\n \\\"ord_2\\\",\\n CAST(NULLIF(\\\"id\\\", '') AS REAL) AS \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"ord_2\\\"\\n ORDER BY CAST(NULLIF(\\\"id\\\", '') AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"ord_2\\\") AS \\\"cnt\\\"\\n FROM \\\"c15\\\"\\n WHERE NULLIF(\\\"id\\\", '') IS NOT NULL\\n),\\n\\\"targets\\\" AS (\\n SELECT\\n \\\"ord_2\\\",\\n (0.9 * (\\\"cnt\\\" - 1)) + 1.0 AS \\\"target_rn\\\",\\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 GROUP BY \\\"ord_2\\\", \\\"cnt\\\"\\n)\\nSELECT\\n o.\\\"ord_2\\\",\\n CASE\\n WHEN t.\\\"lower_rn\\\" = t.\\\"upper_rn\\\" THEN\\n MAX(CASE WHEN o.\\\"rn\\\" = t.\\\"lower_rn\\\" THEN o.\\\"measure_value\\\" END)\\n ELSE\\n MAX(CASE WHEN o.\\\"rn\\\" = t.\\\"lower_rn\\\" THEN o.\\\"measure_value\\\" END) +\\n (t.\\\"target_rn\\\" - t.\\\"lower_rn\\\") * (\\n MAX(CASE WHEN o.\\\"rn\\\" = t.\\\"upper_rn\\\" THEN o.\\\"measure_value\\\" END) -\\n MAX(CASE WHEN o.\\\"rn\\\" = t.\\\"lower_rn\\\" THEN o.\\\"measure_value\\\" END)\\n )\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"ordered\\\" AS o\\nJOIN \\\"targets\\\" AS t\\n ON o.\\\"ord_2\\\" = t.\\\"ord_2\\\"\\nGROUP BY o.\\\"ord_2\\\", t.\\\"target_rn\\\", t.\\\"lower_rn\\\", t.\\\"upper_rn\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"ord_2\", \"percentile_measure\"], \"rows\": [{\"ord_2\": \"\", \"percentile_measure\": 541871.8}, {\"ord_2\": \"Boiling Hot\", \"percentile_measure\": 540447.1}, {\"ord_2\": \"Cold\", \"percentile_measure\": 540377.5}, {\"ord_2\": \"Lava Hot\", \"percentile_measure\": 540190.5}, {\"ord_2\": \"Freezing\", \"percentile_measure\": 540031.5}, {\"ord_2\": \"Hot\", \"percentile_measure\": 539535.7000000001}, {\"ord_2\": \"Warm\", \"percentile_measure\": 539060.2}], \"row_count_returned\": 7, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2494.93}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b432814556b5f6d1/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b432814556b5f6d1/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..ee69e82246aac5b30adb4b7ad7e44ba587947f47 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b432814556b5f6d1/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c15", + "started_at": "2026-05-19T15:55:41.039062+00:00", + "ended_at": "2026-05-19T15:56:06.038784+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c15_b432814556b5f6d1", + "problem_id": "v2p_c15_d60504b8b00b1cdc", + "dataset_id": "c15", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=ord_2, measure_col=id.", + "bindings": { + "group_col": "ord_2", + "measure_col": "id", + "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": 502184.84, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=2/2", + "binding_index=84" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 1, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/sql/v2q_c15_b432814556b5f6d1.sql", + "usage_summary": { + "dataset_id": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_b432814556b5f6d1", + "api_calls": 0, + "input_tokens": 16094, + "cached_input_tokens": 12032, + "output_tokens": 1136, + "total_tokens": 17230, + "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": 21449.84, + "sql_execution_elapsed_ms_total": 2494.93, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b432814556b5f6d1/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b432814556b5f6d1/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b432814556b5f6d1/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b1e3338b522145f5454385c7787ded546421db31 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b432814556b5f6d1/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:55:44.403247+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3314.97, "started_at": "2026-05-19T15:55:41.087451+00:00", "ended_at": "2026-05-19T15:55:44.402461+00:00", "prompt_metrics": {"chars": 12459, "bytes_utf8": 12459, "lines": 396, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f3-35be-7521-a7d1-9992571306db\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T15:56:03.541693+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 18134.87, "started_at": "2026-05-19T15:55:45.405505+00:00", "ended_at": "2026-05-19T15:56:03.540426+00:00", "prompt_metrics": {"chars": 12459, "bytes_utf8": 12459, "lines": 396, "estimated_tokens": null}, "response_metrics": {"chars": 1751, "bytes_utf8": 1751, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16094, "cached_input_tokens": 12032, "output_tokens": 1136, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n SELECT\\n \\\"ord_2\\\",\\n CAST(NULLIF(\\\"id\\\", '') AS REAL) AS \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"ord_2\\\"\\n ORDER BY CAST(NULLIF(\\\"id\\\", '') AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"ord_2\\\") AS \\\"cnt\\\"\\n FROM \\\"c15\\\"\\n WHERE NULLIF(\\\"id\\\", '') IS NOT NULL\\n),\\n\\\"targets\\\" AS (\\n SELECT\\n \\\"ord_2\\\",\\n (0.9 * (\\\"cnt\\\" - 1)) + 1.0 AS \\\"target_rn\\\",\\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 GROUP BY \\\"ord_2\\\", \\\"cnt\\\"\\n)\\nSELECT\\n o.\\\"ord_2\\\",\\n CASE\\n WHEN t.\\\"lower_rn\\\" = t.\\\"upper_rn\\\" THEN\\n MAX(CASE WHEN o.\\\"rn\\\" = t.\\\"lower_rn\\\" THEN o."} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b432814556b5f6d1/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b432814556b5f6d1/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..c9d2c5eeffc661fe79a84390dc293dc1e4a68099 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b432814556b5f6d1/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_b432814556b5f6d1", + "api_calls": 0, + "input_tokens": 16094, + "cached_input_tokens": 12032, + "output_tokens": 1136, + "total_tokens": 17230, + "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": 21449.84, + "sql_execution_elapsed_ms_total": 2494.93, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b432814556b5f6d1/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b795e963fa516cd8/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b795e963fa516cd8/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..48ed32d681b28e7e835fb8c608ede27cd2508ff5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b795e963fa516cd8/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12457, "bytes_utf8": 12457, "lines": 394, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 614, "bytes_utf8": 614, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16111, "cached_input_tokens": 14720, "output_tokens": 602, "reasoning_output_tokens": 421}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b795e963fa516cd8/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b795e963fa516cd8/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..7a354def810e9f43978a3060fc706c91b9025c34 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b795e963fa516cd8/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_b795e963fa516cd8", + "api_calls": 0, + "input_tokens": 16111, + "cached_input_tokens": 14720, + "output_tokens": 602, + "total_tokens": 16713, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13803.86, + "sql_execution_elapsed_ms_total": 912.92, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b795e963fa516cd8/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b795e963fa516cd8/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b795e963fa516cd8/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..897c10bf8ad59f1b231cafcdf6e13ac022ea990e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b795e963fa516cd8/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": "2026-05-19T15:48:17.357811+00:00", + "ended_at": "2026-05-19T15:48:31.161704+00:00", + "elapsed_ms": 13803.86, + "prompt_metrics": { + "chars": 12457, + "bytes_utf8": 12457, + "lines": 394, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 986, + "bytes_utf8": 986, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 614, + "bytes_utf8": 614, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16111, + "cached_input_tokens": 14720, + "output_tokens": 602, + "reasoning_output_tokens": 421 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b795e963fa516cd8/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b795e963fa516cd8/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..947e7f2a3bb0f413dd1c752b8345d5967bc58185 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b795e963fa516cd8/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,394 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=ord_0.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "bindings": { + "measure_col": "ord_0", + "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": 2.5, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b795e963fa516cd8/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b795e963fa516cd8/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..fa2aaa27ecced37511d0b46c170d5b8f67018430 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b795e963fa516cd8/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ec-7069-7ec1-ad76-6f1caca0f115"} +{"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 \\\"ord_0\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"ord_0\\\" AS REAL) DESC) AS tail_bucket\\n FROM \\\"c15\\\"\\n WHERE \\\"ord_0\\\" IS NOT NULL AND \\\"ord_0\\\" <> ''\\n)\\nSELECT \\\"ord_0\\\"\\nFROM buckets\\nWHERE tail_bucket = 1\\nORDER BY CAST(\\\"ord_0\\\" AS REAL) DESC;\",\"notes\":\"Used the Quantile Tail Slice template with measure_col bound to \\\"ord_0\\\" and num_tiles=10. Cast \\\"ord_0\\\" to REAL for numeric ordering because the SQLite column type is TEXT, and excluded NULL/blank values so missing entries do not contaminate the top tail.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16111,"cached_input_tokens":14720,"output_tokens":602,"reasoning_output_tokens":421}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b795e963fa516cd8/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b795e963fa516cd8/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..afa91c33eb74286dd840a4b6ebef2ed66a9b8ea1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b795e963fa516cd8/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_quantile_tail_slice\nWITH buckets AS (\n SELECT \"ord_0\",\n NTILE(10) OVER (ORDER BY CAST(\"ord_0\" AS REAL) DESC) AS tail_bucket\n FROM \"c15\"\n WHERE \"ord_0\" IS NOT NULL AND \"ord_0\" <> ''\n)\nSELECT \"ord_0\"\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY CAST(\"ord_0\" AS REAL) DESC;","notes":"Used the Quantile Tail Slice template with measure_col bound to \"ord_0\" and num_tiles=10. Cast \"ord_0\" to REAL for numeric ordering because the SQLite column type is TEXT, and excluded NULL/blank values so missing entries do not contaminate the top tail."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b795e963fa516cd8/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b795e963fa516cd8/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b7c595ada0d7256d/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b7c595ada0d7256d/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..5b8a8ff00ca7a8dbdb9c681ade37208ae65afbec --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b7c595ada0d7256d/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=bin_1. +Result preview: [{"bin_1": "0.0", "row_count": 474018}, {"bin_1": "1.0", "row_count": 107979}, {"bin_1": "", "row_count": 18003}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b7c595ada0d7256d/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b7c595ada0d7256d/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..1543df9f36bfd1bda28e5899607ba55d447ddb56 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b7c595ada0d7256d/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c15 +-- family_id: subgroup_structure +-- canonical_subitem_id: subgroup_size_stability +-- intended_facet_id: subgroup_distribution_shift +-- variant_semantic_role: count_distribution +-- template_id: tpl_clickbench_group_count +-- query_record_id: v2q_c15_b7c595ada0d7256d +-- problem_id: v2p_c15_2b7b7150ddbea454 +-- realization_mode: agent +-- source_kind: agent +SELECT "bin_1", COUNT(*) AS "row_count" +FROM "c15" +GROUP BY "bin_1" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b7c595ada0d7256d/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b7c595ada0d7256d/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c61305fca4c27c3986a220eb5ce41e459a28eac3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b7c595ada0d7256d/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_clickbench_group_count\nSELECT \"bin_1\", COUNT(*) AS \"row_count\"\nFROM \"c15\"\nGROUP BY \"bin_1\"\nORDER BY \"row_count\" DESC;", "result": "{\"query\": \"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"bin_1\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"c15\\\"\\nGROUP BY \\\"bin_1\\\"\\nORDER BY \\\"row_count\\\" DESC;\", \"columns\": [\"bin_1\", \"row_count\"], \"rows\": [{\"bin_1\": \"0.0\", \"row_count\": 474018}, {\"bin_1\": \"1.0\", \"row_count\": 107979}, {\"bin_1\": \"\", \"row_count\": 18003}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 232.29}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b7c595ada0d7256d/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b7c595ada0d7256d/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..15db0cc9561675297b603c57ab2129da5152296a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b7c595ada0d7256d/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c15", + "started_at": "2026-05-19T15:34:24.110036+00:00", + "ended_at": "2026-05-19T15:34:34.384849+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c15_b7c595ada0d7256d", + "problem_id": "v2p_c15_2b7b7150ddbea454", + "dataset_id": "c15", + "template_id": "tpl_clickbench_group_count", + "template_name": "Grouped Count by Category", + "family_id": "subgroup_structure", + "canonical_subitem_id": "subgroup_size_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=bin_1.", + "bindings": { + "group_col": "bin_1", + "top_k": 14, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 6.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift", + "template_selection_mode=rule", + "problem_index_within_template=8", + "sql_variant_index=1/1", + "binding_index=19" + ], + "template_selection_mode": "rule", + "selected_template_rank": 2, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/sql/v2q_c15_b7c595ada0d7256d.sql", + "usage_summary": { + "dataset_id": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_b7c595ada0d7256d", + "api_calls": 0, + "input_tokens": 16031, + "cached_input_tokens": 12032, + "output_tokens": 372, + "total_tokens": 16403, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10006.02, + "sql_execution_elapsed_ms_total": 232.29, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b7c595ada0d7256d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b7c595ada0d7256d/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b7c595ada0d7256d/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4edc3cfeac57f85f34e12d4dfcbafa8a7e75293a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b7c595ada0d7256d/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:34:34.150765+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 10006.02, "started_at": "2026-05-19T15:34:24.143349+00:00", "ended_at": "2026-05-19T15:34:34.149403+00:00", "prompt_metrics": {"chars": 12195, "bytes_utf8": 12195, "lines": 394, "estimated_tokens": null}, "response_metrics": {"chars": 287, "bytes_utf8": 287, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16031, "cached_input_tokens": 12032, "output_tokens": 372, "reasoning_output_tokens": 285}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"bin_1\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"c15\\\"\\nGROUP BY \\\"bin_1\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Uses the provided Grouped Count by Category template with group_col bound to \\\"bin_1\\\" on the single table \\\"c15\\\".\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b7c595ada0d7256d/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b7c595ada0d7256d/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..8a54d0fe7ccf9fca2df8da23227a8dedb1d8da32 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b7c595ada0d7256d/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_b7c595ada0d7256d", + "api_calls": 0, + "input_tokens": 16031, + "cached_input_tokens": 12032, + "output_tokens": 372, + "total_tokens": 16403, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10006.02, + "sql_execution_elapsed_ms_total": 232.29, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b7c595ada0d7256d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b8bcd3d8433af1df/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b8bcd3d8433af1df/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e0ad279ace902753be392f96f34cb9aeb2ca5cbf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b8bcd3d8433af1df/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12529, "bytes_utf8": 12529, "lines": 399, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_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": 12529, "bytes_utf8": 12529, "lines": 399, "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": 457, "bytes_utf8": 457, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16117, "cached_input_tokens": 12032, "output_tokens": 591, "reasoning_output_tokens": 462}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b8bcd3d8433af1df/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b8bcd3d8433af1df/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..e22548ac6b70c054e1a3aa7f766ff6c0bbf48eba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b8bcd3d8433af1df/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_b8bcd3d8433af1df", + "api_calls": 0, + "input_tokens": 16117, + "cached_input_tokens": 12032, + "output_tokens": 591, + "total_tokens": 16708, + "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": 15307.0, + "sql_execution_elapsed_ms_total": 351.9, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b8bcd3d8433af1df/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b8bcd3d8433af1df/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b8bcd3d8433af1df/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..5ac39659c12e12d761af78c017a453a75c0bdce8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b8bcd3d8433af1df/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": "2026-05-19T16:07:11.511148+00:00", + "ended_at": "2026-05-19T16:07:14.449659+00:00", + "elapsed_ms": 2938.48, + "returncode": 1, + "prompt_metrics": { + "chars": 12529, + "bytes_utf8": 12529, + "lines": 399, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b8bcd3d8433af1df/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b8bcd3d8433af1df/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..696868728ac040ddb2c2bf545c911db4cd1416a3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b8bcd3d8433af1df/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": "2026-05-19T16:07:15.451363+00:00", + "ended_at": "2026-05-19T16:07:27.819916+00:00", + "elapsed_ms": 12368.52, + "prompt_metrics": { + "chars": 12529, + "bytes_utf8": 12529, + "lines": 399, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 824, + "bytes_utf8": 824, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 457, + "bytes_utf8": 457, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16117, + "cached_input_tokens": 12032, + "output_tokens": 591, + "reasoning_output_tokens": 462 + } + }, + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b8bcd3d8433af1df/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b8bcd3d8433af1df/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..82475061789666b4849cbd1f9026a400ac67c728 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b8bcd3d8433af1df/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,399 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=ord_4, condition_col=target.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "ord_4", + "condition_col": "target", + "condition_value": "1", + "positive_value": "0", + "negative_value": "1", + "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": 9.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b8bcd3d8433af1df/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b8bcd3d8433af1df/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..82475061789666b4849cbd1f9026a400ac67c728 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b8bcd3d8433af1df/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,399 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=ord_4, condition_col=target.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "ord_4", + "condition_col": "target", + "condition_value": "1", + "positive_value": "0", + "negative_value": "1", + "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": 9.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b8bcd3d8433af1df/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b8bcd3d8433af1df/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..d33f4db0e270d05d64ec1ff9e174222504c4469b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b8bcd3d8433af1df/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-be98-7500-8868-d01a0e9b882f"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b8bcd3d8433af1df/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b8bcd3d8433af1df/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8f5f8ed17bac590f9db5f88538e321d56565ff9b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b8bcd3d8433af1df/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-be98-7500-8868-d01a0e9b882f"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b8bcd3d8433af1df/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b8bcd3d8433af1df/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f1965ca19838b539ef80be469875aa7808e80eb3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b8bcd3d8433af1df/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-ce12-7121-9905-8872fdffb668"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"ord_4\\\",\\n AVG(CASE WHEN \\\"target\\\" = '1' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"c15\\\"\\nGROUP BY \\\"ord_4\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Instantiated the Grouped Condition Rate template with \\\"ord_4\\\" as the grouping column and \\\"target\\\" as the condition column; since \\\"target\\\" is stored as TEXT in the schema snapshot, the condition value is compared as '1'.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16117,"cached_input_tokens":12032,"output_tokens":591,"reasoning_output_tokens":462}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b8bcd3d8433af1df/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b8bcd3d8433af1df/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..07e3356972268f6161897f4c65cae3a3c0ec08c0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b8bcd3d8433af1df/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"ord_4\",\n AVG(CASE WHEN \"target\" = '1' THEN 1 ELSE 0 END) AS \"condition_rate\"\nFROM \"c15\"\nGROUP BY \"ord_4\"\nORDER BY \"condition_rate\" DESC;","notes":"Instantiated the Grouped Condition Rate template with \"ord_4\" as the grouping column and \"target\" as the condition column; since \"target\" is stored as TEXT in the schema snapshot, the condition value is compared as '1'."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b8bcd3d8433af1df/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b8bcd3d8433af1df/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b8bcd3d8433af1df/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b8bcd3d8433af1df/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b90d5288e8103b23/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b90d5288e8103b23/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..90ca06e7663a6047b4a6d5e675e41d3ca9bf59f9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b90d5288e8103b23/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": "2026-05-19T15:52:55.258336+00:00", + "ended_at": "2026-05-19T15:52:58.503337+00:00", + "elapsed_ms": 3244.97, + "returncode": 1, + "prompt_metrics": { + "chars": 12834, + "bytes_utf8": 12834, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b90d5288e8103b23/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b90d5288e8103b23/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e6c9458e08427807b8f044a957df3778404e5e88 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b90d5288e8103b23/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": "2026-05-19T15:52:59.505608+00:00", + "ended_at": "2026-05-19T15:53:02.844054+00:00", + "elapsed_ms": 3338.41, + "returncode": 1, + "prompt_metrics": { + "chars": 12834, + "bytes_utf8": 12834, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b90d5288e8103b23/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b90d5288e8103b23/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..00a75883a73759a2ccd8e6ad072d432dfe540d46 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b90d5288e8103b23/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,396 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=bin_4, measure_col=month.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "bin_4", + "measure_col": "month", + "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": 9.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b90d5288e8103b23/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b90d5288e8103b23/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..00a75883a73759a2ccd8e6ad072d432dfe540d46 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b90d5288e8103b23/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,396 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=bin_4, measure_col=month.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "bin_4", + "measure_col": "month", + "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": 9.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b90d5288e8103b23/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b90d5288e8103b23/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ea09f94666bb18202e5551ec058fa2e033d6d3d4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b90d5288e8103b23/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f0-adfe-78c0-88c8-8fb6a04a8e72"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b90d5288e8103b23/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b90d5288e8103b23/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..81295a426403def05d1ed884741764aa969599b8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b90d5288e8103b23/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f0-adfe-78c0-88c8-8fb6a04a8e72"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b90d5288e8103b23/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b90d5288e8103b23/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..10c7b0a806c266c7a5e80c97282420cff60d1334 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b90d5288e8103b23/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f0-be9b-7593-a726-a534c59afc9f"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b90d5288e8103b23/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b90d5288e8103b23/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..52c34633fc43d97bcf849c31f39e4fe5b7952083 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b90d5288e8103b23/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f0-be9b-7593-a726-a534c59afc9f"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b90d5288e8103b23/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b90d5288e8103b23/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b90d5288e8103b23/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b90d5288e8103b23/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b95f5b8c4d1010de/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b95f5b8c4d1010de/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ea657339dea5d889fd1f91fae614fbfa81e4b980 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b95f5b8c4d1010de/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12452, "bytes_utf8": 12452, "lines": 394, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 532, "bytes_utf8": 532, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16107, "cached_input_tokens": 14720, "output_tokens": 527, "reasoning_output_tokens": 371}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b95f5b8c4d1010de/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b95f5b8c4d1010de/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..cafccc87730ed425a9c6dc40e84bd0da4bc37318 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b95f5b8c4d1010de/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_b95f5b8c4d1010de", + "api_calls": 0, + "input_tokens": 16107, + "cached_input_tokens": 14720, + "output_tokens": 527, + "total_tokens": 16634, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13778.62, + "sql_execution_elapsed_ms_total": 961.2, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b95f5b8c4d1010de/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b95f5b8c4d1010de/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b95f5b8c4d1010de/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1200337c563ee3e9b3d2921b3ccfbd6036f2f3e9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b95f5b8c4d1010de/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": "2026-05-19T15:48:32.115520+00:00", + "ended_at": "2026-05-19T15:48:45.894169+00:00", + "elapsed_ms": 13778.62, + "prompt_metrics": { + "chars": 12452, + "bytes_utf8": 12452, + "lines": 394, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 917, + "bytes_utf8": 917, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 532, + "bytes_utf8": 532, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16107, + "cached_input_tokens": 14720, + "output_tokens": 527, + "reasoning_output_tokens": 371 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b95f5b8c4d1010de/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b95f5b8c4d1010de/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5e31b2f56a396fee24c3262238fe58b41ca31174 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b95f5b8c4d1010de/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,394 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=day.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "bindings": { + "measure_col": "day", + "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": 6.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b95f5b8c4d1010de/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b95f5b8c4d1010de/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..4dbb911bc444f8593468abbf0580b7e7cc9a16ad --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b95f5b8c4d1010de/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ec-aa04-7d50-9f5e-2815d0d36ef4"} +{"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(\\\"day\\\" AS REAL) AS \\\"day\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"day\\\" AS REAL) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"c15\\\"\\n WHERE \\\"day\\\" IS NOT NULL AND \\\"day\\\" <> ''\\n)\\nSELECT \\\"day\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"day\\\" DESC;\",\"notes\":\"Uses the Quantile Tail Slice template with measure_col bound to day, casting the TEXT column to REAL for numeric tail bucketing and excluding empty values.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16107,"cached_input_tokens":14720,"output_tokens":527,"reasoning_output_tokens":371}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b95f5b8c4d1010de/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b95f5b8c4d1010de/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..695509d6a70b575d94d706ce4dac5eb68b16934b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b95f5b8c4d1010de/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_quantile_tail_slice\nWITH \"buckets\" AS (\n SELECT\n CAST(\"day\" AS REAL) AS \"day\",\n NTILE(10) OVER (ORDER BY CAST(\"day\" AS REAL) DESC) AS \"tail_bucket\"\n FROM \"c15\"\n WHERE \"day\" IS NOT NULL AND \"day\" <> ''\n)\nSELECT \"day\"\nFROM \"buckets\"\nWHERE \"tail_bucket\" = 1\nORDER BY \"day\" DESC;","notes":"Uses the Quantile Tail Slice template with measure_col bound to day, casting the TEXT column to REAL for numeric tail bucketing and excluding empty values."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b95f5b8c4d1010de/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b95f5b8c4d1010de/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_be2ebc0f6b6b459f/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_be2ebc0f6b6b459f/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..17ad8ca8757ee5e7db9048dc9a14edf6c0e446d8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_be2ebc0f6b6b459f/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12585, "bytes_utf8": 12585, "lines": 400, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 413, "bytes_utf8": 413, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16153, "cached_input_tokens": 14720, "output_tokens": 544, "reasoning_output_tokens": 413}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_be2ebc0f6b6b459f/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_be2ebc0f6b6b459f/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..ef59a104ce9795f34968330d349849a64b718aaf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_be2ebc0f6b6b459f/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_be2ebc0f6b6b459f", + "api_calls": 0, + "input_tokens": 16153, + "cached_input_tokens": 14720, + "output_tokens": 544, + "total_tokens": 16697, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11257.58, + "sql_execution_elapsed_ms_total": 314.84, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_be2ebc0f6b6b459f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_be2ebc0f6b6b459f/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_be2ebc0f6b6b459f/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..09436dd61672c27c3b5865fae70c6b53a1e89f48 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_be2ebc0f6b6b459f/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": "2026-05-19T15:47:52.343158+00:00", + "ended_at": "2026-05-19T15:48:03.600801+00:00", + "elapsed_ms": 11257.58, + "prompt_metrics": { + "chars": 12585, + "bytes_utf8": 12585, + "lines": 400, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 788, + "bytes_utf8": 788, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 413, + "bytes_utf8": 413, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16153, + "cached_input_tokens": 14720, + "output_tokens": 544, + "reasoning_output_tokens": 413 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_be2ebc0f6b6b459f/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_be2ebc0f6b6b459f/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..694193f175915ca16227c29282a858a7c9cd8a80 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_be2ebc0f6b6b459f/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,400 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=bin_3, group_col_2=ord_1.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "bin_3", + "group_col_2": "ord_1", + "predicate_col": "bin_4", + "predicate_op": "=", + "predicate_value": "Y", + "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": 9.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_be2ebc0f6b6b459f/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_be2ebc0f6b6b459f/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e0b519069ed921b66fdfc26d399dea2efec218ae --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_be2ebc0f6b6b459f/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ec-0f28-7853-a9dd-d2f8d4df7d76"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"bin_3\\\", \\\"ord_1\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"c15\\\"\\nWHERE \\\"bin_4\\\" = 'Y'\\nGROUP BY \\\"bin_3\\\", \\\"ord_1\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Applied the provided template with group_col=\\\"bin_3\\\", group_col_2=\\\"ord_1\\\", and predicate \\\"bin_4\\\" = 'Y'. No LIMIT was added because the supplied runtime SQL skeleton does not include one.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16153,"cached_input_tokens":14720,"output_tokens":544,"reasoning_output_tokens":413}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_be2ebc0f6b6b459f/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_be2ebc0f6b6b459f/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..399ab57ebc5b78bfebeafe606e39676fbe6a0398 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_be2ebc0f6b6b459f/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"bin_3\", \"ord_1\", COUNT(*) AS \"row_count\"\nFROM \"c15\"\nWHERE \"bin_4\" = 'Y'\nGROUP BY \"bin_3\", \"ord_1\"\nORDER BY \"row_count\" DESC;","notes":"Applied the provided template with group_col=\"bin_3\", group_col_2=\"ord_1\", and predicate \"bin_4\" = 'Y'. No LIMIT was added because the supplied runtime SQL skeleton does not include one."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_be2ebc0f6b6b459f/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_be2ebc0f6b6b459f/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c11d8bd075ce79aa/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c11d8bd075ce79aa/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..377940a5f6980122d9f37878170b2b2cfe2f77c5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c11d8bd075ce79aa/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": "2026-05-19T16:09:06.802507+00:00", + "ended_at": "2026-05-19T16:09:10.007575+00:00", + "elapsed_ms": 3205.04, + "returncode": 1, + "prompt_metrics": { + "chars": 12278, + "bytes_utf8": 12278, + "lines": 394, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c11d8bd075ce79aa/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c11d8bd075ce79aa/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..173a4b15d912003b6e38356f4a85245aceb32f3c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c11d8bd075ce79aa/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": "2026-05-19T16:09:11.009362+00:00", + "ended_at": "2026-05-19T16:09:14.058509+00:00", + "elapsed_ms": 3049.11, + "returncode": 1, + "prompt_metrics": { + "chars": 12278, + "bytes_utf8": 12278, + "lines": 394, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c11d8bd075ce79aa/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c11d8bd075ce79aa/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..fb9b55e66aae013301f3ec57e87d91539190b97c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c11d8bd075ce79aa/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,394 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=ord_3.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "ord_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": 0.75, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c11d8bd075ce79aa/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c11d8bd075ce79aa/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..fb9b55e66aae013301f3ec57e87d91539190b97c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c11d8bd075ce79aa/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,394 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=ord_3.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "ord_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": 0.75, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c11d8bd075ce79aa/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c11d8bd075ce79aa/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6ee327012fd1fdcd36bc694a2dbc1f57e3a430d9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c11d8bd075ce79aa/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-80ed-74c0-9777-b41c287893da"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c11d8bd075ce79aa/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c11d8bd075ce79aa/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6f7ecb5177eafb3d4478950a45e946ce9c3e2a1d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c11d8bd075ce79aa/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-80ed-74c0-9777-b41c287893da"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c11d8bd075ce79aa/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c11d8bd075ce79aa/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..8c903659ba037bd69589d6c5ba0dd3c69b1e55b1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c11d8bd075ce79aa/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-9164-76d2-9e98-97279f6df3df"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c11d8bd075ce79aa/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c11d8bd075ce79aa/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..dec86235293eed1543d16a6409d15f3a046460b1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c11d8bd075ce79aa/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-9164-76d2-9e98-97279f6df3df"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c11d8bd075ce79aa/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c11d8bd075ce79aa/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c11d8bd075ce79aa/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c11d8bd075ce79aa/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c1e903f1cf3cfac1/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c1e903f1cf3cfac1/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4784de3af4a294c3cc72e0e13276bb4e7a53aa96 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c1e903f1cf3cfac1/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12531, "bytes_utf8": 12531, "lines": 399, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_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": 12531, "bytes_utf8": 12531, "lines": 399, "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": 363, "bytes_utf8": 363, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16122, "cached_input_tokens": 12032, "output_tokens": 348, "reasoning_output_tokens": 240}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c1e903f1cf3cfac1/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c1e903f1cf3cfac1/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..b7236736c1a301c5e646725ecea0c8802ead96e5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c1e903f1cf3cfac1/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_c1e903f1cf3cfac1", + "api_calls": 0, + "input_tokens": 16122, + "cached_input_tokens": 12032, + "output_tokens": 348, + "total_tokens": 16470, + "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": 12914.06, + "sql_execution_elapsed_ms_total": 304.99, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c1e903f1cf3cfac1/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c1e903f1cf3cfac1/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c1e903f1cf3cfac1/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..988bb7198e8021ae43c3dea456fc5f6e33be2dc8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c1e903f1cf3cfac1/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": "2026-05-19T16:04:50.081237+00:00", + "ended_at": "2026-05-19T16:04:53.333802+00:00", + "elapsed_ms": 3252.53, + "returncode": 1, + "prompt_metrics": { + "chars": 12531, + "bytes_utf8": 12531, + "lines": 399, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c1e903f1cf3cfac1/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c1e903f1cf3cfac1/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..9d6027e1edbc41f019fefc77404069da8496fcd7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c1e903f1cf3cfac1/cli/sql_attempt_2.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:04:54.336173+00:00", + "ended_at": "2026-05-19T16:05:03.997750+00:00", + "elapsed_ms": 9661.53, + "prompt_metrics": { + "chars": 12531, + "bytes_utf8": 12531, + "lines": 399, + "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": 363, + "bytes_utf8": 363, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16122, + "cached_input_tokens": 12032, + "output_tokens": 348, + "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_b/c15/artifacts/v2q_c15_c1e903f1cf3cfac1/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c1e903f1cf3cfac1/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..abef4d41de9da41e99c2d0685165f21afefafe4a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c1e903f1cf3cfac1/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,399 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=nom_2, condition_col=nom_2.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "nom_2", + "condition_col": "nom_2", + "condition_value": "Lion", + "positive_value": "Dog", + "negative_value": "Lion", + "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": 9.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c1e903f1cf3cfac1/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c1e903f1cf3cfac1/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..abef4d41de9da41e99c2d0685165f21afefafe4a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c1e903f1cf3cfac1/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,399 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=nom_2, condition_col=nom_2.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "nom_2", + "condition_col": "nom_2", + "condition_value": "Lion", + "positive_value": "Dog", + "negative_value": "Lion", + "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": 9.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c1e903f1cf3cfac1/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c1e903f1cf3cfac1/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f2fd52d68b3151abcdaf2ca5044424cad365137c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c1e903f1cf3cfac1/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-9637-7bc3-8895-187909bd2fb0"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c1e903f1cf3cfac1/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c1e903f1cf3cfac1/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..bc4ee0a3da4db018fc2eeab8c9296d87078d5ec0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c1e903f1cf3cfac1/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-9637-7bc3-8895-187909bd2fb0"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c1e903f1cf3cfac1/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c1e903f1cf3cfac1/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..271ad35bcabe1aa11c5af9814f139c2bbc1287da --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c1e903f1cf3cfac1/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-a6ba-7200-ba1b-240aaac88b59"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"nom_2\\\",\\n AVG(CASE WHEN \\\"nom_2\\\" = 'Lion' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"c15\\\"\\nGROUP BY \\\"nom_2\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Applied the provided Grouped Condition Rate template with both group and condition bound to \\\"nom_2\\\" and condition value 'Lion'.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16122,"cached_input_tokens":12032,"output_tokens":348,"reasoning_output_tokens":240}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c1e903f1cf3cfac1/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c1e903f1cf3cfac1/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..ddbef123dc53566aeeae8bb225b9fd2bf59728ee --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c1e903f1cf3cfac1/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"nom_2\",\n AVG(CASE WHEN \"nom_2\" = 'Lion' THEN 1 ELSE 0 END) AS \"condition_rate\"\nFROM \"c15\"\nGROUP BY \"nom_2\"\nORDER BY \"condition_rate\" DESC;","notes":"Applied the provided Grouped Condition Rate template with both group and condition bound to \"nom_2\" and condition value 'Lion'."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c1e903f1cf3cfac1/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c1e903f1cf3cfac1/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c1e903f1cf3cfac1/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c1e903f1cf3cfac1/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c7e3e76d55978d24/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c7e3e76d55978d24/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..c5827720f15f73ad15ed4f5b8c34aa5b49be217b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c7e3e76d55978d24/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "N", "support": 312344, "support_share": 0.5205733333333333, "cumulative_support": 312344}, {"value_label": "Y", "support": 269609, "support_share": 0.44934833333333335, "cumulative_support": 581953}, {"value_label": "", "support": 18047, "support_share": 0.030078333333333332, "cumulative_support": 600000}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c7e3e76d55978d24/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c7e3e76d55978d24/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..34a8123ecf5c14964510b2173713f5fc0f6665cf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c7e3e76d55978d24/generated_sql.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c15 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: value_imbalance_profile +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_cardinality_distinct_share_profile +-- query_record_id: v2q_c15_c7e3e76d55978d24 +-- problem_id: v2p_c15_66cac9f2808d0c98 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "bin_4" AS value_label, COUNT(*) AS support + FROM "c15" + GROUP BY "bin_4" +), ranked AS ( + SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support + FROM grouped +) +SELECT * +FROM ranked +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c7e3e76d55978d24/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c7e3e76d55978d24/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6e6547c434ce4e924784a495ff6608b8266e3e62 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c7e3e76d55978d24/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_b\n-- sql_source_dataset_id: c15\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: value_imbalance_profile\n-- variant_semantic_role: ranked_signal_view\n-- template_id: tpl_cardinality_distinct_share_profile\n-- query_record_id: v2q_c15_c7e3e76d55978d24\n-- problem_id: v2p_c15_66cac9f2808d0c98\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"bin_4\" AS value_label, COUNT(*) AS support\n FROM \"c15\"\n GROUP BY \"bin_4\"\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_b\\n-- sql_source_dataset_id: c15\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: value_imbalance_profile\\n-- variant_semantic_role: ranked_signal_view\\n-- template_id: tpl_cardinality_distinct_share_profile\\n-- query_record_id: v2q_c15_c7e3e76d55978d24\\n-- problem_id: v2p_c15_66cac9f2808d0c98\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"bin_4\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"c15\\\"\\n GROUP BY \\\"bin_4\\\"\\n), ranked AS (\\n SELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\\n FROM grouped\\n)\\nSELECT *\\nFROM ranked\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"cumulative_support\"], \"rows\": [{\"value_label\": \"N\", \"support\": 312344, \"support_share\": 0.5205733333333333, \"cumulative_support\": 312344}, {\"value_label\": \"Y\", \"support\": 269609, \"support_share\": 0.44934833333333335, \"cumulative_support\": 581953}, {\"value_label\": \"\", \"support\": 18047, \"support_share\": 0.030078333333333332, \"cumulative_support\": 600000}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 222.53}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c7e3e76d55978d24/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c7e3e76d55978d24/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..6f92c279d10d3f6e14af38b728dd89c6ca3ae30e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c7e3e76d55978d24/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c15", + "started_at": "2026-05-19T16:13:10.555068+00:00", + "ended_at": "2026-05-19T16:13:10.778792+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c15_c7e3e76d55978d24", + "problem_id": "v2p_c15_66cac9f2808d0c98", + "dataset_id": "c15", + "template_id": "tpl_cardinality_distinct_share_profile", + "template_name": "Cardinality Distinct Share Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "value_imbalance_profile", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Distinct Share Profile to probe support_rank_profile_consistency with semantic role ranked_signal_view. Focus on group_col=bin_4.", + "bindings": { + "group_col": "bin_4" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=4", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/sql/v2q_c15_c7e3e76d55978d24.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c7e3e76d55978d24/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c7e3e76d55978d24/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c7e3e76d55978d24/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c845f4b517ff08c8/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c845f4b517ff08c8/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..747ae771e7a4a5d0d4f0ca93eb25659b8bdc6246 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c845f4b517ff08c8/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 13088, "bytes_utf8": 13088, "lines": 399, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 630, "bytes_utf8": 630, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16271, "cached_input_tokens": 14720, "output_tokens": 704, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c845f4b517ff08c8/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c845f4b517ff08c8/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..993ea76bb82a29043147b5df84dfdb4ea184b12d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c845f4b517ff08c8/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_c845f4b517ff08c8", + "api_calls": 0, + "input_tokens": 16271, + "cached_input_tokens": 14720, + "output_tokens": 704, + "total_tokens": 16975, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 23732.01, + "sql_execution_elapsed_ms_total": 379.22, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c845f4b517ff08c8/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c845f4b517ff08c8/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c845f4b517ff08c8/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ea5ce0e966023065eaea9c55d057960941ecf5bf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c845f4b517ff08c8/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": "2026-05-19T15:45:20.476928+00:00", + "ended_at": "2026-05-19T15:45:44.208972+00:00", + "elapsed_ms": 23732.01, + "prompt_metrics": { + "chars": 13088, + "bytes_utf8": 13088, + "lines": 399, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1664, + "bytes_utf8": 1664, + "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": 630, + "bytes_utf8": 630, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16271, + "cached_input_tokens": 14720, + "output_tokens": 704, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c845f4b517ff08c8/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c845f4b517ff08c8/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8047b0a35495c1e17f55e993e8fca49de4b34b15 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c845f4b517ff08c8/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,399 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=nom_2, condition_col=day.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "nom_2", + "condition_col": "day", + "condition_value": "5.0", + "positive_value": "5.0", + "negative_value": "7.0", + "top_k": 13, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.75, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c845f4b517ff08c8/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c845f4b517ff08c8/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..68707127b8c598c7ea75d94e8976f96e8e68ba61 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c845f4b517ff08c8/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,6 @@ +{"type":"thread.started","thread_id":"019e40e9-bd75-76e2-8b68-78db8c4e4954"} +{"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 1988717, Requested 16906. Please try again in 168ms. 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 1984972, Requested 16906. Please try again in 56ms. 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 \\\"nom_2\\\",\\n SUM(CASE WHEN \\\"day\\\" = '5.0' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"day\\\" = '7.0' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"c15\\\"\\n GROUP BY \\\"nom_2\\\"\\n)\\nSELECT \\\"nom_2\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Filled the provided grouped-ratio template with group_col=\\\"nom_2\\\" and condition_col=\\\"day\\\", using the bound positive and negative values '5.0' and '7.0'.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16271,"cached_input_tokens":14720,"output_tokens":704,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c845f4b517ff08c8/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c845f4b517ff08c8/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2dbeaba6013730053147cae11aaef8de50acd00a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c845f4b517ff08c8/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT \"nom_2\",\n SUM(CASE WHEN \"day\" = '5.0' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"day\" = '7.0' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"c15\"\n GROUP BY \"nom_2\"\n)\nSELECT \"nom_2\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;","notes":"Filled the provided grouped-ratio template with group_col=\"nom_2\" and condition_col=\"day\", using the bound positive and negative values '5.0' and '7.0'."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c845f4b517ff08c8/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c845f4b517ff08c8/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c87d7556f80597b0/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c87d7556f80597b0/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..ee5a3333bb5040282425981ca71e7858146d8537 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c87d7556f80597b0/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "0.0", "support": 528377, "support_share": 0.8806283333333333, "support_rank": 1}, {"value_label": "1.0", "support": 53729, "support_share": 0.08954833333333333, "support_rank": 2}, {"value_label": "", "support": 17894, "support_share": 0.029823333333333334, "support_rank": 3}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c87d7556f80597b0/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c87d7556f80597b0/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..5256ba38a6f3d20ec2b6165f5f0d0788ded99db5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c87d7556f80597b0/generated_sql.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c15 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: support_concentration +-- variant_semantic_role: count_distribution +-- template_id: tpl_cardinality_support_rank_profile +-- query_record_id: v2q_c15_c87d7556f80597b0 +-- problem_id: v2p_c15_d7af80591ef62781 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "bin_0" AS value_label, COUNT(*) AS support + FROM "c15" + GROUP BY "bin_0" +) +SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank +FROM grouped +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c87d7556f80597b0/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c87d7556f80597b0/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a66b2a922fd051285dd4b1050a9c171658019560 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c87d7556f80597b0/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_b\n-- sql_source_dataset_id: c15\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: support_concentration\n-- variant_semantic_role: count_distribution\n-- template_id: tpl_cardinality_support_rank_profile\n-- query_record_id: v2q_c15_c87d7556f80597b0\n-- problem_id: v2p_c15_d7af80591ef62781\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"bin_0\" AS value_label, COUNT(*) AS support\n FROM \"c15\"\n GROUP BY \"bin_0\"\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_b\\n-- sql_source_dataset_id: c15\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: support_concentration\\n-- variant_semantic_role: count_distribution\\n-- template_id: tpl_cardinality_support_rank_profile\\n-- query_record_id: v2q_c15_c87d7556f80597b0\\n-- problem_id: v2p_c15_d7af80591ef62781\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"bin_0\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"c15\\\"\\n GROUP BY \\\"bin_0\\\"\\n)\\nSELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\\nFROM grouped\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"support_rank\"], \"rows\": [{\"value_label\": \"0.0\", \"support\": 528377, \"support_share\": 0.8806283333333333, \"support_rank\": 1}, {\"value_label\": \"1.0\", \"support\": 53729, \"support_share\": 0.08954833333333333, \"support_rank\": 2}, {\"value_label\": \"\", \"support\": 17894, \"support_share\": 0.029823333333333334, \"support_rank\": 3}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 250.17}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c87d7556f80597b0/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c87d7556f80597b0/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..6796170a7a2bc2a59530a9e5423934287f163197 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c87d7556f80597b0/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c15", + "started_at": "2026-05-19T16:13:13.089185+00:00", + "ended_at": "2026-05-19T16:13:13.340533+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c15_c87d7556f80597b0", + "problem_id": "v2p_c15_d7af80591ef62781", + "dataset_id": "c15", + "template_id": "tpl_cardinality_support_rank_profile", + "template_name": "Cardinality Support Rank Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "support_concentration", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=bin_0.", + "bindings": { + "group_col": "bin_0" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=1", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/sql/v2q_c15_c87d7556f80597b0.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c87d7556f80597b0/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c87d7556f80597b0/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_c87d7556f80597b0/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_cc083a9ccb621ebc/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_cc083a9ccb621ebc/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..79de52507a56d6f61b545afc40fd39fffb5d0a1f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_cc083a9ccb621ebc/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12683, "bytes_utf8": 12683, "lines": 398, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_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": 16179, "cached_input_tokens": 14720, "output_tokens": 1358, "reasoning_output_tokens": 1144}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_cc083a9ccb621ebc/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_cc083a9ccb621ebc/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..ef894e60106380c4b6997cfdaa5280dc5eb70a22 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_cc083a9ccb621ebc/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_cc083a9ccb621ebc", + "api_calls": 0, + "input_tokens": 16179, + "cached_input_tokens": 14720, + "output_tokens": 1358, + "total_tokens": 17537, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 23494.69, + "sql_execution_elapsed_ms_total": 638.18, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_cc083a9ccb621ebc/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_cc083a9ccb621ebc/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_cc083a9ccb621ebc/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..43947ae7b795b79052d1ffdc862eb21765f21759 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_cc083a9ccb621ebc/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": "2026-05-19T15:38:35.796079+00:00", + "ended_at": "2026-05-19T15:38:59.290801+00:00", + "elapsed_ms": 23494.69, + "prompt_metrics": { + "chars": 12683, + "bytes_utf8": 12683, + "lines": 398, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1090, + "bytes_utf8": 1090, + "lines": 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": 16179, + "cached_input_tokens": 14720, + "output_tokens": 1358, + "reasoning_output_tokens": 1144 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_cc083a9ccb621ebc/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_cc083a9ccb621ebc/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3d5ce776ce1e30f2870c55077227a67d40ac7f65 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_cc083a9ccb621ebc/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,398 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=ord_1, measure_col=bin_0.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "ord_1", + "measure_col": "bin_0", + "item_col": "ord_4", + "top_k": 14, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.75, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_cc083a9ccb621ebc/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_cc083a9ccb621ebc/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ea65b0d09ee85102f708db40bab6de9b3c4f5e08 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_cc083a9ccb621ebc/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e3-90a4-7181-97b2-07a510fbcf59"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"ord_1\\\",\\n \\\"ord_4\\\",\\n SUM(CAST(NULLIF(\\\"bin_0\\\", '') AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(NULLIF(\\\"bin_0\\\", '') AS REAL)) * 100.0 / SUM(SUM(CAST(NULLIF(\\\"bin_0\\\", '') AS REAL))) OVER (PARTITION BY \\\"ord_1\\\") AS \\\"share_within_group\\\"\\nFROM \\\"c15\\\"\\nGROUP BY \\\"ord_1\\\", \\\"ord_4\\\"\\nORDER BY \\\"share_within_group\\\" DESC;\",\"notes\":\"Instantiated the Within-Group Share of Total template with group_col=\\\"ord_1\\\", item_col=\\\"ord_4\\\", and measure_col=\\\"bin_0\\\". Because \\\"bin_0\\\" is stored as TEXT and may contain empty strings, the query treats empty strings as NULL and casts remaining values to REAL before summing.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16179,"cached_input_tokens":14720,"output_tokens":1358,"reasoning_output_tokens":1144}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_cc083a9ccb621ebc/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_cc083a9ccb621ebc/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..be306da94d8741337a45fe01e63f729af21d64dd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_cc083a9ccb621ebc/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"ord_1\",\n \"ord_4\",\n SUM(CAST(NULLIF(\"bin_0\", '') AS REAL)) AS \"total_measure\",\n SUM(CAST(NULLIF(\"bin_0\", '') AS REAL)) * 100.0 / SUM(SUM(CAST(NULLIF(\"bin_0\", '') AS REAL))) OVER (PARTITION BY \"ord_1\") AS \"share_within_group\"\nFROM \"c15\"\nGROUP BY \"ord_1\", \"ord_4\"\nORDER BY \"share_within_group\" DESC;","notes":"Instantiated the Within-Group Share of Total template with group_col=\"ord_1\", item_col=\"ord_4\", and measure_col=\"bin_0\". Because \"bin_0\" is stored as TEXT and may contain empty strings, the query treats empty strings as NULL and casts remaining values to REAL before summing."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_cc083a9ccb621ebc/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_cc083a9ccb621ebc/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_cc1f40aba8e714af/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_cc1f40aba8e714af/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..63c8c5de62f73aa915c3a88f932303d8ccfb9299 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_cc1f40aba8e714af/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=nom_3, measure_col=bin_0. +Result preview: [{"nom_3": "India", "total_measure": 14592.0}, {"nom_3": "Costa Rica", "total_measure": 13543.0}, {"nom_3": "Russia", "total_measure": 10813.0}, {"nom_3": "Finland", "total_measure": 9515.0}, {"nom_3": "Canada", "total_measure": 2300.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_cc1f40aba8e714af/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_cc1f40aba8e714af/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..744f73eb70ce715d5b98ce835988c4203c99a6df --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_cc1f40aba8e714af/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c15 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_distribution_shift +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_c15_cc1f40aba8e714af +-- problem_id: v2p_c15_75ff47b6621871d8 +-- realization_mode: agent +-- source_kind: agent +SELECT "nom_3", SUM(CAST(NULLIF("bin_0", '') AS REAL)) AS total_measure +FROM "c15" +GROUP BY "nom_3" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_cc1f40aba8e714af/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_cc1f40aba8e714af/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..bb70b1adfd9b0a9a2b23096a3042e0a0e8e9efb9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_cc1f40aba8e714af/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_h2o_group_sum\nSELECT \"nom_3\", SUM(CAST(NULLIF(\"bin_0\", '') AS REAL)) AS total_measure\nFROM \"c15\"\nGROUP BY \"nom_3\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"nom_3\\\", SUM(CAST(NULLIF(\\\"bin_0\\\", '') AS REAL)) AS total_measure\\nFROM \\\"c15\\\"\\nGROUP BY \\\"nom_3\\\"\\nORDER BY total_measure DESC;\", \"columns\": [\"nom_3\", \"total_measure\"], \"rows\": [{\"nom_3\": \"India\", \"total_measure\": 14592.0}, {\"nom_3\": \"Costa Rica\", \"total_measure\": 13543.0}, {\"nom_3\": \"Russia\", \"total_measure\": 10813.0}, {\"nom_3\": \"Finland\", \"total_measure\": 9515.0}, {\"nom_3\": \"Canada\", \"total_measure\": 2300.0}, {\"nom_3\": \"\", \"total_measure\": 1665.0}, {\"nom_3\": \"China\", \"total_measure\": 1301.0}], \"row_count_returned\": 7, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 380.44}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_cc1f40aba8e714af/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_cc1f40aba8e714af/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..b3b89cc63a5cf958e4b4920365c2d0faa93a1470 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_cc1f40aba8e714af/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c15", + "started_at": "2026-05-19T15:32:23.338694+00:00", + "ended_at": "2026-05-19T15:32:40.892823+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c15_cc1f40aba8e714af", + "problem_id": "v2p_c15_75ff47b6621871d8", + "dataset_id": "c15", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=nom_3, measure_col=bin_0.", + "bindings": { + "group_col": "nom_3", + "measure_col": "bin_0", + "top_k": 18, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.66, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=9", + "sql_variant_index=2/2", + "binding_index=8" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 9, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/sql/v2q_c15_cc1f40aba8e714af.sql", + "usage_summary": { + "dataset_id": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_cc1f40aba8e714af", + "api_calls": 0, + "input_tokens": 16060, + "cached_input_tokens": 15744, + "output_tokens": 610, + "total_tokens": 16670, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 17136.0, + "sql_execution_elapsed_ms_total": 380.44, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_cc1f40aba8e714af/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_cc1f40aba8e714af/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_cc1f40aba8e714af/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..65ed8c7e563454bca718dad099d56edcd0478345 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_cc1f40aba8e714af/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:32:40.510052+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 17136.0, "started_at": "2026-05-19T15:32:23.373338+00:00", "ended_at": "2026-05-19T15:32:40.509375+00:00", "prompt_metrics": {"chars": 12282, "bytes_utf8": 12282, "lines": 396, "estimated_tokens": null}, "response_metrics": {"chars": 371, "bytes_utf8": 371, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16060, "cached_input_tokens": 15744, "output_tokens": 610, "reasoning_output_tokens": 497}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"nom_3\\\", SUM(CAST(NULLIF(\\\"bin_0\\\", '') AS REAL)) AS total_measure\\nFROM \\\"c15\\\"\\nGROUP BY \\\"nom_3\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the planned grouped-sum template with group_col=\\\"nom_3\\\" and measure_col=\\\"bin_0\\\". Applied NULLIF+CAST because \\\"bin_0\\\" is stored as TEXT and may contain empty strings.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_cc1f40aba8e714af/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_cc1f40aba8e714af/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..76fc4278a75dd66880713a2a10b71df03d85f9b7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_cc1f40aba8e714af/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_cc1f40aba8e714af", + "api_calls": 0, + "input_tokens": 16060, + "cached_input_tokens": 15744, + "output_tokens": 610, + "total_tokens": 16670, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 17136.0, + "sql_execution_elapsed_ms_total": 380.44, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_cc1f40aba8e714af/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d1b575c2ab3eef69/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d1b575c2ab3eef69/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..07f8b0508d11b9ec3c072953662c194e59583a76 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d1b575c2ab3eef69/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"bin_0": "0.0", "total_rows": 528377, "missing_rows": 0, "missing_rate": 0.0}, {"bin_0": "1.0", "total_rows": 53729, "missing_rows": 0, "missing_rate": 0.0}, {"bin_0": "", "total_rows": 17894, "missing_rows": 0, "missing_rate": 0.0}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d1b575c2ab3eef69/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d1b575c2ab3eef69/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..45db1f4afec3948d3f2f0eafe12dfe30cf23f9c8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d1b575c2ab3eef69/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c15 +-- family_id: missingness_structure +-- canonical_subitem_id: co_missingness_pattern_consistency +-- intended_facet_id: missing_rate_by_subgroup +-- variant_semantic_role: missing_rate_by_subgroup +-- template_id: tpl_missing_rate_by_subgroup +-- query_record_id: v2q_c15_d1b575c2ab3eef69 +-- problem_id: v2p_c15_db4e5f880f7b3c9b +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "bin_0", + COUNT(*) AS total_rows, + SUM(CASE WHEN "bin_4" IS NULL THEN 1 ELSE 0 END) AS missing_rows, + AVG(CASE WHEN "bin_4" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate +FROM "c15" +GROUP BY "bin_0" +ORDER BY missing_rate DESC, total_rows DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d1b575c2ab3eef69/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d1b575c2ab3eef69/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3d2e0e5d9f234d504b50cd8fc9db2b1eb39f5cb8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d1b575c2ab3eef69/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_b\n-- sql_source_dataset_id: c15\n-- family_id: missingness_structure\n-- canonical_subitem_id: co_missingness_pattern_consistency\n-- intended_facet_id: missing_rate_by_subgroup\n-- variant_semantic_role: missing_rate_by_subgroup\n-- template_id: tpl_missing_rate_by_subgroup\n-- query_record_id: v2q_c15_d1b575c2ab3eef69\n-- problem_id: v2p_c15_db4e5f880f7b3c9b\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"bin_0\",\n COUNT(*) AS total_rows,\n SUM(CASE WHEN \"bin_4\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN \"bin_4\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM \"c15\"\nGROUP BY \"bin_0\"\nORDER BY missing_rate DESC, total_rows DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_b\\n-- sql_source_dataset_id: c15\\n-- family_id: missingness_structure\\n-- canonical_subitem_id: co_missingness_pattern_consistency\\n-- intended_facet_id: missing_rate_by_subgroup\\n-- variant_semantic_role: missing_rate_by_subgroup\\n-- template_id: tpl_missing_rate_by_subgroup\\n-- query_record_id: v2q_c15_d1b575c2ab3eef69\\n-- problem_id: v2p_c15_db4e5f880f7b3c9b\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"bin_0\\\",\\n COUNT(*) AS total_rows,\\n SUM(CASE WHEN \\\"bin_4\\\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\\n AVG(CASE WHEN \\\"bin_4\\\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\\nFROM \\\"c15\\\"\\nGROUP BY \\\"bin_0\\\"\\nORDER BY missing_rate DESC, total_rows DESC;\", \"columns\": [\"bin_0\", \"total_rows\", \"missing_rows\", \"missing_rate\"], \"rows\": [{\"bin_0\": \"0.0\", \"total_rows\": 528377, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"bin_0\": \"1.0\", \"total_rows\": 53729, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"bin_0\": \"\", \"total_rows\": 17894, \"missing_rows\": 0, \"missing_rate\": 0.0}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 330.66}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d1b575c2ab3eef69/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d1b575c2ab3eef69/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..2dd54f9409fac8926777a7d8e32394bde732ac7b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d1b575c2ab3eef69/run_manifest.json @@ -0,0 +1,59 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c15", + "started_at": "2026-05-19T16:13:02.246488+00:00", + "ended_at": "2026-05-19T16:13:02.578360+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c15_d1b575c2ab3eef69", + "problem_id": "v2p_c15_db4e5f880f7b3c9b", + "dataset_id": "c15", + "template_id": "tpl_missing_rate_by_subgroup", + "template_name": "Missing Rate by Subgroup", + "family_id": "missingness_structure", + "canonical_subitem_id": "co_missingness_pattern_consistency", + "intended_facet_id": "missing_rate_by_subgroup", + "variant_semantic_role": "missing_rate_by_subgroup", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": false, + "question": "Use template Missing Rate by Subgroup to probe co_missingness_pattern_consistency with semantic role missing_rate_by_subgroup. Focus on group_col=bin_0, missing_col=bin_4.", + "bindings": { + "missing_col": "bin_4", + "group_col": "bin_0" + }, + "binding_roles": [ + "missing_col", + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS total_rows,\n SUM(CASE WHEN {missing_col} IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN {missing_col} IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY missing_rate DESC, total_rows DESC;", + "notes": [ + "default_facets=missing_rate_by_subgroup,missing_target_interaction", + "template_selection_mode=deterministic", + "problem_index_within_template=3", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/sql/v2q_c15_d1b575c2ab3eef69.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d1b575c2ab3eef69/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d1b575c2ab3eef69/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d1b575c2ab3eef69/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d371ce16246d81a5/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d371ce16246d81a5/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..43626b2deae910c076d9a9bcb67ebfe7ae82dd57 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d371ce16246d81a5/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12681, "bytes_utf8": 12681, "lines": 398, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 719, "bytes_utf8": 719, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16175, "cached_input_tokens": 14720, "output_tokens": 2144, "reasoning_output_tokens": 1918}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d371ce16246d81a5/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d371ce16246d81a5/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..ef259f1db4f757384ce99af6b5d195369f48f479 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d371ce16246d81a5/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_d371ce16246d81a5", + "api_calls": 0, + "input_tokens": 16175, + "cached_input_tokens": 14720, + "output_tokens": 2144, + "total_tokens": 18319, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 33275.52, + "sql_execution_elapsed_ms_total": 573.91, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d371ce16246d81a5/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d371ce16246d81a5/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d371ce16246d81a5/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a86bde5ce7e3de71d58d2036dd84418ca7a21cac --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d371ce16246d81a5/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": "2026-05-19T15:36:50.562944+00:00", + "ended_at": "2026-05-19T15:37:23.838580+00:00", + "elapsed_ms": 33275.52, + "prompt_metrics": { + "chars": 12681, + "bytes_utf8": 12681, + "lines": 398, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1134, + "bytes_utf8": 1134, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 719, + "bytes_utf8": 719, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16175, + "cached_input_tokens": 14720, + "output_tokens": 2144, + "reasoning_output_tokens": 1918 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d371ce16246d81a5/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d371ce16246d81a5/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d9fcaa6b3b358837b053ef545b875eff31753d3e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d371ce16246d81a5/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,398 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=nom_3, measure_col=day.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "nom_3", + "measure_col": "day", + "item_col": "nom_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": 5.64, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d371ce16246d81a5/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d371ce16246d81a5/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..32bb3f0523f8c12e1a0703ca0af87069730dc103 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d371ce16246d81a5/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e1-f5ab-7421-afca-a9d4e24211b2"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"nom_3\\\",\\n \\\"nom_7\\\",\\n SUM(CAST(NULLIF(\\\"day\\\", '') AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(NULLIF(\\\"day\\\", '') AS REAL)) * 100.0 / SUM(SUM(CAST(NULLIF(\\\"day\\\", '') AS REAL))) OVER (PARTITION BY \\\"nom_3\\\") AS \\\"share_within_group\\\"\\nFROM \\\"c15\\\"\\nWHERE NULLIF(\\\"nom_3\\\", '') IS NOT NULL\\n AND NULLIF(\\\"nom_7\\\", '') IS NOT NULL\\n AND NULLIF(\\\"day\\\", '') IS NOT NULL\\nGROUP BY \\\"nom_3\\\", \\\"nom_7\\\"\\nORDER BY \\\"share_within_group\\\" DESC;\",\"notes\":\"Uses the planned template with group_col=\\\"nom_3\\\", item_col=\\\"nom_7\\\", and measure_col=\\\"day\\\". Empty strings are treated as missing, and \\\"day\\\" is cast to REAL for SQLite-compatible aggregation.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16175,"cached_input_tokens":14720,"output_tokens":2144,"reasoning_output_tokens":1918}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d371ce16246d81a5/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d371ce16246d81a5/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d007d8945a02da004ebf90ab1036cb4272f1f50c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d371ce16246d81a5/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"nom_3\",\n \"nom_7\",\n SUM(CAST(NULLIF(\"day\", '') AS REAL)) AS \"total_measure\",\n SUM(CAST(NULLIF(\"day\", '') AS REAL)) * 100.0 / SUM(SUM(CAST(NULLIF(\"day\", '') AS REAL))) OVER (PARTITION BY \"nom_3\") AS \"share_within_group\"\nFROM \"c15\"\nWHERE NULLIF(\"nom_3\", '') IS NOT NULL\n AND NULLIF(\"nom_7\", '') IS NOT NULL\n AND NULLIF(\"day\", '') IS NOT NULL\nGROUP BY \"nom_3\", \"nom_7\"\nORDER BY \"share_within_group\" DESC;","notes":"Uses the planned template with group_col=\"nom_3\", item_col=\"nom_7\", and measure_col=\"day\". Empty strings are treated as missing, and \"day\" is cast to REAL for SQLite-compatible aggregation."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d371ce16246d81a5/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d371ce16246d81a5/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d48073c5f185f39e/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d48073c5f185f39e/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..1cefa04208ce2273b596847655b99e796d862b69 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d48073c5f185f39e/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=ord_3, condition_col=day. +Result preview: [{"ord_3": "", "condition_rate": 0.1483031926769368}, {"ord_3": "o", "condition_rate": 0.1479192327995777}, {"ord_3": "m", "condition_rate": 0.1457054156605726}, {"ord_3": "a", "condition_rate": 0.14566525313452028}, {"ord_3": "c", "condition_rate": 0.1454786060873401}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d48073c5f185f39e/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d48073c5f185f39e/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..39defb196d0f4f4c00b602c8e04235aeba7f6a46 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d48073c5f185f39e/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c15 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_c15_d48073c5f185f39e +-- problem_id: v2p_c15_95234907526068ad +-- realization_mode: agent +-- source_kind: agent +SELECT "ord_3", + AVG(CASE WHEN "day" = '7.0' THEN 1 ELSE 0 END) AS "condition_rate" +FROM "c15" +GROUP BY "ord_3" +ORDER BY "condition_rate" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d48073c5f185f39e/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d48073c5f185f39e/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..26decab78199cffee34671b402bbc0ce8e6a311c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d48073c5f185f39e/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 2, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_condition_rate\nSELECT \"ord_3\",\n AVG(CASE WHEN \"day\" = '7.0' THEN 1 ELSE 0 END) AS \"condition_rate\"\nFROM \"c15\"\nGROUP BY \"ord_3\"\nORDER BY \"condition_rate\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"ord_3\\\",\\n AVG(CASE WHEN \\\"day\\\" = '7.0' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"c15\\\"\\nGROUP BY \\\"ord_3\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\", \"columns\": [\"ord_3\", \"condition_rate\"], \"rows\": [{\"ord_3\": \"\", \"condition_rate\": 0.1483031926769368}, {\"ord_3\": \"o\", \"condition_rate\": 0.1479192327995777}, {\"ord_3\": \"m\", \"condition_rate\": 0.1457054156605726}, {\"ord_3\": \"a\", \"condition_rate\": 0.14566525313452028}, {\"ord_3\": \"c\", \"condition_rate\": 0.1454786060873401}, {\"ord_3\": \"g\", \"condition_rate\": 0.1454692556634304}, {\"ord_3\": \"l\", \"condition_rate\": 0.14532627865961198}, {\"ord_3\": \"e\", \"condition_rate\": 0.1432757557063541}, {\"ord_3\": \"d\", \"condition_rate\": 0.14320689430045047}, {\"ord_3\": \"n\", \"condition_rate\": 0.14283902961314135}, {\"ord_3\": \"h\", \"condition_rate\": 0.1426700631458094}, {\"ord_3\": \"i\", \"condition_rate\": 0.14250783879412018}, {\"ord_3\": \"k\", \"condition_rate\": 0.14246603646882586}, {\"ord_3\": \"b\", \"condition_rate\": 0.14177921643040517}, {\"ord_3\": \"f\", \"condition_rate\": 0.14129032258064517}, {\"ord_3\": \"j\", \"condition_rate\": 0.13712558395163507}], \"row_count_returned\": 16, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 347.58}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d48073c5f185f39e/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d48073c5f185f39e/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..e2d9ec5a83bf1ce8e1cf7083ed871b07a705c082 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d48073c5f185f39e/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c15", + "started_at": "2026-05-19T16:06:42.988674+00:00", + "ended_at": "2026-05-19T16:06:56.754167+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c15_d48073c5f185f39e", + "problem_id": "v2p_c15_95234907526068ad", + "dataset_id": "c15", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=ord_3, condition_col=day.", + "bindings": { + "group_col": "ord_3", + "condition_col": "day", + "condition_value": "7.0", + "positive_value": "5.0", + "negative_value": "7.0", + "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": 6.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=8", + "sql_variant_index=2/2", + "binding_index=103" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 8, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/sql/v2q_c15_d48073c5f185f39e.sql", + "usage_summary": { + "dataset_id": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_d48073c5f185f39e", + "api_calls": 0, + "input_tokens": 16124, + "cached_input_tokens": 12032, + "output_tokens": 351, + "total_tokens": 16475, + "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": 12377.56, + "sql_execution_elapsed_ms_total": 347.58, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d48073c5f185f39e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d48073c5f185f39e/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d48073c5f185f39e/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f173f8c6f4b66fdbbc39b077888dfc7d39a576a0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d48073c5f185f39e/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:06:46.422581+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3397.74, "started_at": "2026-05-19T16:06:43.023895+00:00", "ended_at": "2026-05-19T16:06:46.421672+00:00", "prompt_metrics": {"chars": 12525, "bytes_utf8": 12525, "lines": 399, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fd-4f4d-7fa0-a6ce-3ee2eab318c7\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:06:56.404474+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 8979.82, "started_at": "2026-05-19T16:06:47.423795+00:00", "ended_at": "2026-05-19T16:06:56.403656+00:00", "prompt_metrics": {"chars": 12525, "bytes_utf8": 12525, "lines": 399, "estimated_tokens": null}, "response_metrics": {"chars": 372, "bytes_utf8": 372, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16124, "cached_input_tokens": 12032, "output_tokens": 351, "reasoning_output_tokens": 235}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"ord_3\\\",\\n AVG(CASE WHEN \\\"day\\\" = '7.0' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"c15\\\"\\nGROUP BY \\\"ord_3\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Uses the Grouped Condition Rate template with \\\"ord_3\\\" as the grouping column and the within-group proportion of rows where \\\"day\\\" = '7.0'.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d48073c5f185f39e/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d48073c5f185f39e/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..c82a7fb2df562983548702c6c49241b6ba46dd5a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d48073c5f185f39e/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_d48073c5f185f39e", + "api_calls": 0, + "input_tokens": 16124, + "cached_input_tokens": 12032, + "output_tokens": 351, + "total_tokens": 16475, + "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": 12377.56, + "sql_execution_elapsed_ms_total": 347.58, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d48073c5f185f39e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d6dacffaf39e0e42/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d6dacffaf39e0e42/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e0ee1b7269a243f8f101b39b77c02133d1a2056c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d6dacffaf39e0e42/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12281, "bytes_utf8": 12281, "lines": 396, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 404, "bytes_utf8": 404, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16060, "cached_input_tokens": 12032, "output_tokens": 637, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d6dacffaf39e0e42/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d6dacffaf39e0e42/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..52a62ff933587631b8e1629f3da92ed73370ed84 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d6dacffaf39e0e42/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_d6dacffaf39e0e42", + "api_calls": 0, + "input_tokens": 16060, + "cached_input_tokens": 12032, + "output_tokens": 637, + "total_tokens": 16697, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 21467.5, + "sql_execution_elapsed_ms_total": 381.56, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d6dacffaf39e0e42/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d6dacffaf39e0e42/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d6dacffaf39e0e42/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a94b695f25aa675e74e03638ae2a2e973c2c66dd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d6dacffaf39e0e42/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": "2026-05-19T15:32:01.484985+00:00", + "ended_at": "2026-05-19T15:32:22.952529+00:00", + "elapsed_ms": 21467.5, + "prompt_metrics": { + "chars": 12281, + "bytes_utf8": 12281, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1436, + "bytes_utf8": 1436, + "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": 404, + "bytes_utf8": 404, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16060, + "cached_input_tokens": 12032, + "output_tokens": 637, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d6dacffaf39e0e42/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d6dacffaf39e0e42/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..09da4dd2e284149c967b736bdaa84471d116169f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d6dacffaf39e0e42/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,396 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=nom_3, measure_col=bin_0.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "nom_3", + "measure_col": "bin_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": 0.75, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d6dacffaf39e0e42/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d6dacffaf39e0e42/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..9837947d6e7785b87bf651b8ebfd99e2829903af --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d6dacffaf39e0e42/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,6 @@ +{"type":"thread.started","thread_id":"019e40dd-8c7a-7f21-9d8a-2673db770cca"} +{"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 1998076, Requested 16695. Please try again in 443ms. 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 16695. Please try again in 500ms. 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 \\\"nom_3\\\", SUM(CAST(NULLIF(\\\"bin_0\\\", '') AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"c15\\\"\\nGROUP BY \\\"nom_3\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Uses the planned grouped-sum template with \\\"nom_3\\\" as the grouping column and a numeric-safe SUM over \\\"bin_0\\\". Empty strings in \\\"bin_0\\\" are converted to NULL so missing values are ignored by SUM.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16060,"cached_input_tokens":12032,"output_tokens":637,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d6dacffaf39e0e42/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d6dacffaf39e0e42/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c640790be5720ca391a329f49a18d8c67c1240ae --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d6dacffaf39e0e42/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"nom_3\", SUM(CAST(NULLIF(\"bin_0\", '') AS REAL)) AS \"total_measure\"\nFROM \"c15\"\nGROUP BY \"nom_3\"\nORDER BY \"total_measure\" DESC;","notes":"Uses the planned grouped-sum template with \"nom_3\" as the grouping column and a numeric-safe SUM over \"bin_0\". Empty strings in \"bin_0\" are converted to NULL so missing values are ignored by SUM."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d6dacffaf39e0e42/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d6dacffaf39e0e42/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d8f34654cc36a881/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d8f34654cc36a881/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..46a725e8cb4d27bcad1c81f0c54243d00be0f7cf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d8f34654cc36a881/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"total_rows": 600000, "missing_rows": 0, "missing_rate": 0.0}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d8f34654cc36a881/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d8f34654cc36a881/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..842aad320a8b28bc369b914722c7154d919836aa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d8f34654cc36a881/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c15 +-- family_id: missingness_structure +-- canonical_subitem_id: marginal_missing_rate_consistency +-- intended_facet_id: missing_indicator_distribution +-- variant_semantic_role: missing_indicator_view +-- template_id: tpl_missing_marginal_rate_profile +-- query_record_id: v2q_c15_d8f34654cc36a881 +-- problem_id: v2p_c15_7fd1b6fe4565aa9e +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + COUNT(*) AS total_rows, + SUM(CASE WHEN "nom_2" IS NULL THEN 1 ELSE 0 END) AS missing_rows, + AVG(CASE WHEN "nom_2" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate +FROM "c15"; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d8f34654cc36a881/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d8f34654cc36a881/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..07b39dc6cc2385f5f28199ecbb3e324bb32d811a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d8f34654cc36a881/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_b\n-- sql_source_dataset_id: c15\n-- family_id: missingness_structure\n-- canonical_subitem_id: marginal_missing_rate_consistency\n-- intended_facet_id: missing_indicator_distribution\n-- variant_semantic_role: missing_indicator_view\n-- template_id: tpl_missing_marginal_rate_profile\n-- query_record_id: v2q_c15_d8f34654cc36a881\n-- problem_id: v2p_c15_7fd1b6fe4565aa9e\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n COUNT(*) AS total_rows,\n SUM(CASE WHEN \"nom_2\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN \"nom_2\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM \"c15\";", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_b\\n-- sql_source_dataset_id: c15\\n-- family_id: missingness_structure\\n-- canonical_subitem_id: marginal_missing_rate_consistency\\n-- intended_facet_id: missing_indicator_distribution\\n-- variant_semantic_role: missing_indicator_view\\n-- template_id: tpl_missing_marginal_rate_profile\\n-- query_record_id: v2q_c15_d8f34654cc36a881\\n-- problem_id: v2p_c15_7fd1b6fe4565aa9e\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n COUNT(*) AS total_rows,\\n SUM(CASE WHEN \\\"nom_2\\\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\\n AVG(CASE WHEN \\\"nom_2\\\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\\nFROM \\\"c15\\\";\", \"columns\": [\"total_rows\", \"missing_rows\", \"missing_rate\"], \"rows\": [{\"total_rows\": 600000, \"missing_rows\": 0, \"missing_rate\": 0.0}], \"row_count_returned\": 1, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 95.27}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d8f34654cc36a881/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d8f34654cc36a881/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..8d2fc6aef18dda7484f586f24f2a99eb1441cbe9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d8f34654cc36a881/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c15", + "started_at": "2026-05-19T16:13:00.732729+00:00", + "ended_at": "2026-05-19T16:13:00.829083+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c15_d8f34654cc36a881", + "problem_id": "v2p_c15_7fd1b6fe4565aa9e", + "dataset_id": "c15", + "template_id": "tpl_missing_marginal_rate_profile", + "template_name": "Marginal Missing Rate Profile", + "family_id": "missingness_structure", + "canonical_subitem_id": "marginal_missing_rate_consistency", + "intended_facet_id": "missing_indicator_distribution", + "variant_semantic_role": "missing_indicator_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": false, + "question": "Use template Marginal Missing Rate Profile to probe marginal_missing_rate_consistency with semantic role missing_indicator_view. Focus on missing_col=nom_2.", + "bindings": { + "missing_col": "nom_2" + }, + "binding_roles": [ + "missing_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n COUNT(*) AS total_rows,\n SUM(CASE WHEN {missing_col} IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN {missing_col} IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM {table};", + "notes": [ + "default_facets=missing_indicator_distribution", + "template_selection_mode=deterministic", + "problem_index_within_template=5", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/sql/v2q_c15_d8f34654cc36a881.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d8f34654cc36a881/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d8f34654cc36a881/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d8f34654cc36a881/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_dd6a7ed7db9e9f99/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_dd6a7ed7db9e9f99/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..68a5defdeb7e4ea47c43d636235b961e3648cef7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_dd6a7ed7db9e9f99/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12834, "bytes_utf8": 12834, "lines": 396, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 764, "bytes_utf8": 764, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16194, "cached_input_tokens": 12032, "output_tokens": 730, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_dd6a7ed7db9e9f99/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_dd6a7ed7db9e9f99/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..aee8f6226ddcc5c307c32e54a62049bf010a755e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_dd6a7ed7db9e9f99/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_dd6a7ed7db9e9f99", + "api_calls": 0, + "input_tokens": 16194, + "cached_input_tokens": 12032, + "output_tokens": 730, + "total_tokens": 16924, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 16262.12, + "sql_execution_elapsed_ms_total": 357.96, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_dd6a7ed7db9e9f99/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_dd6a7ed7db9e9f99/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_dd6a7ed7db9e9f99/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..0416e74ebbfb693b1b365b6cc37e4fb496aa771e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_dd6a7ed7db9e9f99/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": "2026-05-19T15:53:17.564546+00:00", + "ended_at": "2026-05-19T15:53:33.826695+00:00", + "elapsed_ms": 16262.12, + "prompt_metrics": { + "chars": 12834, + "bytes_utf8": 12834, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1145, + "bytes_utf8": 1145, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 764, + "bytes_utf8": 764, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16194, + "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_b/c15/artifacts/v2q_c15_dd6a7ed7db9e9f99/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_dd6a7ed7db9e9f99/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ece270d7917d90f2402eb5a808c77654cdfd9b82 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_dd6a7ed7db9e9f99/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,396 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=nom_0, measure_col=id.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "nom_0", + "measure_col": "id", + "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": 509036.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_dd6a7ed7db9e9f99/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_dd6a7ed7db9e9f99/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e896f30b90314a9ef321b5ff27e803656003f82c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_dd6a7ed7db9e9f99/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f1-0510-7ba0-94ef-f931236017b0"} +{"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 \\\"nom_0\\\", SUM(CAST(NULLIF(\\\"id\\\", '') AS REAL)) AS group_value\\n FROM \\\"c15\\\"\\n WHERE NULLIF(\\\"nom_0\\\", '') IS NOT NULL\\n AND NULLIF(\\\"id\\\", '') IS NOT NULL\\n GROUP BY \\\"nom_0\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"nom_0\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\",\"notes\":\"Used the requested template with group_col=\\\"nom_0\\\" and measure_col=\\\"id\\\". Because \\\"id\\\" is stored as TEXT in SQLite, it is cast to REAL for SUM, and empty strings are filtered out along with empty group values for a stable grouped view.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16194,"cached_input_tokens":12032,"output_tokens":730,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_dd6a7ed7db9e9f99/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_dd6a7ed7db9e9f99/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..282c8c2e79095a5c1fd29cca63e85d16e2049b86 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_dd6a7ed7db9e9f99/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"nom_0\", SUM(CAST(NULLIF(\"id\", '') AS REAL)) AS group_value\n FROM \"c15\"\n WHERE NULLIF(\"nom_0\", '') IS NOT NULL\n AND NULLIF(\"id\", '') IS NOT NULL\n GROUP BY \"nom_0\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"nom_0\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.1\nORDER BY g.group_value DESC;","notes":"Used the requested template with group_col=\"nom_0\" and measure_col=\"id\". Because \"id\" is stored as TEXT in SQLite, it is cast to REAL for SUM, and empty strings are filtered out along with empty group values for a stable grouped view."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_dd6a7ed7db9e9f99/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_dd6a7ed7db9e9f99/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ddc3d2bac0ce54b9/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ddc3d2bac0ce54b9/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2753c70ec9a2ebb9f31e43ebc870f3e5d0938a86 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ddc3d2bac0ce54b9/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12460, "bytes_utf8": 12460, "lines": 396, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 901, "bytes_utf8": 901, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16098, "cached_input_tokens": 12032, "output_tokens": 1816, "reasoning_output_tokens": 1522}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ddc3d2bac0ce54b9/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ddc3d2bac0ce54b9/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..1a23d81d340a01570acaea19fc4a3ffb625fc580 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ddc3d2bac0ce54b9/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_ddc3d2bac0ce54b9", + "api_calls": 0, + "input_tokens": 16098, + "cached_input_tokens": 12032, + "output_tokens": 1816, + "total_tokens": 17914, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 31150.46, + "sql_execution_elapsed_ms_total": 1438.33, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ddc3d2bac0ce54b9/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ddc3d2bac0ce54b9/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ddc3d2bac0ce54b9/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e959f444e459650a6a1a759884d91b28277e595b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ddc3d2bac0ce54b9/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": "2026-05-19T16:03:10.124125+00:00", + "ended_at": "2026-05-19T16:03:41.274615+00:00", + "elapsed_ms": 31150.46, + "prompt_metrics": { + "chars": 12460, + "bytes_utf8": 12460, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1365, + "bytes_utf8": 1365, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 901, + "bytes_utf8": 901, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16098, + "cached_input_tokens": 12032, + "output_tokens": 1816, + "reasoning_output_tokens": 1522 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ddc3d2bac0ce54b9/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ddc3d2bac0ce54b9/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c9128f0c9a427d080fd9e46e041657783d088532 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ddc3d2bac0ce54b9/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,396 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=bin_2, measure_col=bin_0.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "bin_2", + "measure_col": "bin_0", + "top_k": 17, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.66, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ddc3d2bac0ce54b9/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ddc3d2bac0ce54b9/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..8ee2fc4202a039a249258c14bf9a1e950e5c1630 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ddc3d2bac0ce54b9/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-0fbe-7171-8f35-3bf1ebaa83dc"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"filtered\\\" AS (\\n SELECT\\n \\\"bin_2\\\",\\n CAST(\\\"bin_0\\\" AS REAL) AS \\\"measure\\\"\\n FROM \\\"c15\\\"\\n WHERE \\\"bin_0\\\" IS NOT NULL\\n AND \\\"bin_0\\\" <> ''\\n),\\n\\\"ranked\\\" AS (\\n SELECT\\n \\\"bin_2\\\",\\n \\\"measure\\\",\\n ROW_NUMBER() OVER (PARTITION BY \\\"bin_2\\\" ORDER BY \\\"measure\\\") AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"bin_2\\\") AS \\\"cnt\\\"\\n FROM \\\"filtered\\\"\\n)\\nSELECT\\n \\\"bin_2\\\",\\n MIN(\\\"measure\\\") AS \\\"percentile_measure\\\"\\nFROM \\\"ranked\\\"\\nWHERE \\\"cnt\\\" >= 5\\n AND \\\"rn\\\" >= CAST((\\\"cnt\\\" * 0.9) + 0.999999999 AS INTEGER)\\nGROUP BY \\\"bin_2\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite-compatible replacement for PERCENTILE_CONT using a nearest-rank 90th percentile per \\\"bin_2\\\" over numeric-cast \\\"bin_0\\\" values; empty \\\"bin_0\\\" values are excluded and groups are restricted to at least 5 rows.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16098,"cached_input_tokens":12032,"output_tokens":1816,"reasoning_output_tokens":1522}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ddc3d2bac0ce54b9/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ddc3d2bac0ce54b9/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..edbf53c275763c5b194fa46568509e910360892e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ddc3d2bac0ce54b9/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"filtered\" AS (\n SELECT\n \"bin_2\",\n CAST(\"bin_0\" AS REAL) AS \"measure\"\n FROM \"c15\"\n WHERE \"bin_0\" IS NOT NULL\n AND \"bin_0\" <> ''\n),\n\"ranked\" AS (\n SELECT\n \"bin_2\",\n \"measure\",\n ROW_NUMBER() OVER (PARTITION BY \"bin_2\" ORDER BY \"measure\") AS \"rn\",\n COUNT(*) OVER (PARTITION BY \"bin_2\") AS \"cnt\"\n FROM \"filtered\"\n)\nSELECT\n \"bin_2\",\n MIN(\"measure\") AS \"percentile_measure\"\nFROM \"ranked\"\nWHERE \"cnt\" >= 5\n AND \"rn\" >= CAST((\"cnt\" * 0.9) + 0.999999999 AS INTEGER)\nGROUP BY \"bin_2\"\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite-compatible replacement for PERCENTILE_CONT using a nearest-rank 90th percentile per \"bin_2\" over numeric-cast \"bin_0\" values; empty \"bin_0\" values are excluded and groups are restricted to at least 5 rows."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ddc3d2bac0ce54b9/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ddc3d2bac0ce54b9/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_df6a849a0e4154a2/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_df6a849a0e4154a2/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..fcb307c85746fbe8409b93b6f567a6f2e3847add --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_df6a849a0e4154a2/run_manifest.json @@ -0,0 +1,72 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c15", + "started_at": "2026-05-19T16:05:35.154334+00:00", + "ended_at": "2026-05-19T16:05:43.051510+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c15_df6a849a0e4154a2", + "problem_id": "v2p_c15_eb5292b081664c19", + "dataset_id": "c15", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=nom_4, condition_col=nom_4.", + "bindings": { + "group_col": "nom_4", + "condition_col": "nom_4", + "condition_value": "Theremin", + "positive_value": "Piano", + "negative_value": "Theremin", + "top_k": 19, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.75, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=2/2", + "binding_index=99" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 4, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_df6a849a0e4154a2/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_df6a849a0e4154a2/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..255a9b6788d04cf8592afd383dfc83689b9465ee --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_df6a849a0e4154a2/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:05:38.703695+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3518.04, "started_at": "2026-05-19T16:05:35.184745+00:00", "ended_at": "2026-05-19T16:05:38.702812+00:00", "prompt_metrics": {"chars": 12542, "bytes_utf8": 12542, "lines": 399, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fc-4653-79c1-a353-8351c3108951\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:05:43.051390+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3344.55, "started_at": "2026-05-19T16:05:39.705176+00:00", "ended_at": "2026-05-19T16:05:43.049774+00:00", "prompt_metrics": {"chars": 12542, "bytes_utf8": 12542, "lines": 399, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fc-5816-79f3-b7ee-72179ae791cf\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_dfd055177c970abc/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_dfd055177c970abc/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b33a1852f6b166083ac743015a33af9e9477f2bd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_dfd055177c970abc/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": "2026-05-19T16:08:11.065482+00:00", + "ended_at": "2026-05-19T16:08:14.157795+00:00", + "elapsed_ms": 3092.28, + "returncode": 1, + "prompt_metrics": { + "chars": 12223, + "bytes_utf8": 12223, + "lines": 394, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_dfd055177c970abc/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_dfd055177c970abc/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9cbfd7eab539209e2d4df39b2d0745adf0c51ffe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_dfd055177c970abc/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,394 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=bin_0.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "bin_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": 0.75, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_dfd055177c970abc/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_dfd055177c970abc/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..9cbfd7eab539209e2d4df39b2d0745adf0c51ffe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_dfd055177c970abc/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,394 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=bin_0.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "bin_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": 0.75, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_dfd055177c970abc/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_dfd055177c970abc/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..98fe09f57d06e39fd8f2e7ff2da5a0e8b88ea5ba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_dfd055177c970abc/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-a741-7331-b307-73c83f2b537b"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_dfd055177c970abc/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_dfd055177c970abc/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..36df8df7773ad13f26a067c57ed1d8d8af8b4c17 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_dfd055177c970abc/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-a741-7331-b307-73c83f2b537b"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_dfd055177c970abc/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_dfd055177c970abc/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5124bfe8c9550081b70963ef3846aa82212bfd2e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_dfd055177c970abc/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-b71b-7b80-a3fe-f2519b0c7d34"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_dfd055177c970abc/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_dfd055177c970abc/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..912a423719412ad7bd5bdb11b8f926324a709a4a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_dfd055177c970abc/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-b71b-7b80-a3fe-f2519b0c7d34"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_dfd055177c970abc/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_dfd055177c970abc/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_dfd055177c970abc/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_dfd055177c970abc/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e06623ee7d7d750f/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e06623ee7d7d750f/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..bbd2120a1c5c632bd95d43fc506889859bda8105 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e06623ee7d7d750f/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c15", + "started_at": "2026-05-19T15:55:29.542135+00:00", + "ended_at": "2026-05-19T15:55:41.038468+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c15_e06623ee7d7d750f", + "problem_id": "v2p_c15_6e30e2e6a51bd915", + "dataset_id": "c15", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=ord_2, measure_col=id.", + "bindings": { + "group_col": "ord_2", + "measure_col": "id", + "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": 509036.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=1/2", + "binding_index=84" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e06623ee7d7d750f/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e06623ee7d7d750f/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..16d511e7409e23a5c2e12fd054ad375e672e735e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e06623ee7d7d750f/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:55:36.669158+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 7092.69, "started_at": "2026-05-19T15:55:29.575632+00:00", "ended_at": "2026-05-19T15:55:36.668354+00:00", "prompt_metrics": {"chars": 12458, "bytes_utf8": 12458, "lines": 396, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f3-08bb-7340-952a-8db1fe95cd3b\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T15:55:41.038316+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3366.47, "started_at": "2026-05-19T15:55:37.670559+00:00", "ended_at": "2026-05-19T15:55:41.037070+00:00", "prompt_metrics": {"chars": 12458, "bytes_utf8": 12458, "lines": 396, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f3-284f-7d40-a2fc-407d33dd3c87\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e134e461a57f0686/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e134e461a57f0686/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..a0186ec7ef9293ead6d46ab6defcaefa94319383 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e134e461a57f0686/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=nom_1, condition_col=nom_1. +Result preview: [{"nom_1": "Triangle", "condition_rate": 1.0}, {"nom_1": "Trapezoid", "condition_rate": 0.0}, {"nom_1": "Star", "condition_rate": 0.0}, {"nom_1": "Square", "condition_rate": 0.0}, {"nom_1": "Polygon", "condition_rate": 0.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e134e461a57f0686/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e134e461a57f0686/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..d4c7c502d8bcfb7211f252b08efa5098a5688903 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e134e461a57f0686/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c15 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: focused_target_view +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_c15_e134e461a57f0686 +-- problem_id: v2p_c15_e7b3ff2e8fd49135 +-- realization_mode: agent +-- source_kind: agent +SELECT "nom_1", + AVG(CASE WHEN "nom_1" = 'Triangle' THEN 1 ELSE 0 END) AS "condition_rate" +FROM "c15" +GROUP BY "nom_1" +ORDER BY "condition_rate" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e134e461a57f0686/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e134e461a57f0686/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..978c6080d58661a9be7a4450250d1e9473ba0ed6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e134e461a57f0686/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_condition_rate\nSELECT \"nom_1\",\n AVG(CASE WHEN \"nom_1\" = 'Triangle' THEN 1 ELSE 0 END) AS \"condition_rate\"\nFROM \"c15\"\nGROUP BY \"nom_1\"\nORDER BY \"condition_rate\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"nom_1\\\",\\n AVG(CASE WHEN \\\"nom_1\\\" = 'Triangle' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"c15\\\"\\nGROUP BY \\\"nom_1\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\", \"columns\": [\"nom_1\", \"condition_rate\"], \"rows\": [{\"nom_1\": \"Triangle\", \"condition_rate\": 1.0}, {\"nom_1\": \"Trapezoid\", \"condition_rate\": 0.0}, {\"nom_1\": \"Star\", \"condition_rate\": 0.0}, {\"nom_1\": \"Square\", \"condition_rate\": 0.0}, {\"nom_1\": \"Polygon\", \"condition_rate\": 0.0}, {\"nom_1\": \"Circle\", \"condition_rate\": 0.0}, {\"nom_1\": \"\", \"condition_rate\": 0.0}], \"row_count_returned\": 7, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 319.66}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e134e461a57f0686/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e134e461a57f0686/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..e3408fbcd8dabead4c7c5e885e196ab5cbfa4dcb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e134e461a57f0686/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c15", + "started_at": "2026-05-19T16:04:33.499593+00:00", + "ended_at": "2026-05-19T16:04:42.446558+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c15_e134e461a57f0686", + "problem_id": "v2p_c15_e7b3ff2e8fd49135", + "dataset_id": "c15", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=nom_1, condition_col=nom_1.", + "bindings": { + "group_col": "nom_1", + "condition_col": "nom_1", + "condition_value": "Triangle", + "positive_value": "Star", + "negative_value": "Triangle", + "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": 6.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=2/2", + "binding_index=96" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 1, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/sql/v2q_c15_e134e461a57f0686.sql", + "usage_summary": { + "dataset_id": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_e134e461a57f0686", + "api_calls": 0, + "input_tokens": 16121, + "cached_input_tokens": 12032, + "output_tokens": 349, + "total_tokens": 16470, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8593.65, + "sql_execution_elapsed_ms_total": 319.66, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e134e461a57f0686/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e134e461a57f0686/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e134e461a57f0686/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..867eb87e0618c7899a576f28ab614136f2ae8f46 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e134e461a57f0686/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:04:42.124786+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 8593.65, "started_at": "2026-05-19T16:04:33.529968+00:00", "ended_at": "2026-05-19T16:04:42.123656+00:00", "prompt_metrics": {"chars": 12544, "bytes_utf8": 12544, "lines": 399, "estimated_tokens": null}, "response_metrics": {"chars": 420, "bytes_utf8": 420, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16121, "cached_input_tokens": 12032, "output_tokens": 349, "reasoning_output_tokens": 224}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"nom_1\\\",\\n AVG(CASE WHEN \\\"nom_1\\\" = 'Triangle' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"c15\\\"\\nGROUP BY \\\"nom_1\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Uses the provided Grouped Condition Rate template with group_col=\\\"nom_1\\\" and condition_col=\\\"nom_1\\\", measuring the share of rows in each nom_1 group where nom_1 equals 'Triangle'.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e134e461a57f0686/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e134e461a57f0686/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..4a231fcf13bde3758f6e9d2eff37682e40b9feeb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e134e461a57f0686/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_e134e461a57f0686", + "api_calls": 0, + "input_tokens": 16121, + "cached_input_tokens": 12032, + "output_tokens": 349, + "total_tokens": 16470, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8593.65, + "sql_execution_elapsed_ms_total": 319.66, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e134e461a57f0686/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e1b7074554a6551e/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e1b7074554a6551e/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1bd08d778b5f9b237a507586c0772e8db43fc237 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e1b7074554a6551e/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12591, "bytes_utf8": 12591, "lines": 400, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_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": 16152, "cached_input_tokens": 14720, "output_tokens": 445, "reasoning_output_tokens": 330}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e1b7074554a6551e/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e1b7074554a6551e/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..33e5813141a55730fe242294aa3fb6f2989b93ec --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e1b7074554a6551e/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_e1b7074554a6551e", + "api_calls": 0, + "input_tokens": 16152, + "cached_input_tokens": 14720, + "output_tokens": 445, + "total_tokens": 16597, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10303.55, + "sql_execution_elapsed_ms_total": 157.0, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e1b7074554a6551e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e1b7074554a6551e/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e1b7074554a6551e/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f6aadb8f06d30c6d44b7e8daa77d7ce62ca33f4d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e1b7074554a6551e/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": "2026-05-19T15:46:23.470768+00:00", + "ended_at": "2026-05-19T15:46:33.774367+00:00", + "elapsed_ms": 10303.55, + "prompt_metrics": { + "chars": 12591, + "bytes_utf8": 12591, + "lines": 400, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 731, + "bytes_utf8": 731, + "lines": 4, + "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": 16152, + "cached_input_tokens": 14720, + "output_tokens": 445, + "reasoning_output_tokens": 330 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e1b7074554a6551e/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e1b7074554a6551e/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2933061fbe26b4b7858427aa569537297d0f4b1e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e1b7074554a6551e/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,400 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=bin_3, group_col_2=nom_0.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "bin_3", + "group_col_2": "nom_0", + "predicate_col": "target", + "predicate_op": "=", + "predicate_value": "1", + "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": 509036.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e1b7074554a6551e/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e1b7074554a6551e/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..485539ac12531bef96c60403bfa85194def87bf0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e1b7074554a6551e/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ea-b3cb-7683-8258-9726eda869a1"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"bin_3\\\", \\\"nom_0\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"c15\\\"\\nWHERE \\\"target\\\" = '1'\\nGROUP BY \\\"bin_3\\\", \\\"nom_0\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Applied the filtered two-dimensional group count template with \\\"bin_3\\\" and \\\"nom_0\\\", using \\\"target\\\" = '1' as the required filter.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16152,"cached_input_tokens":14720,"output_tokens":445,"reasoning_output_tokens":330}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e1b7074554a6551e/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e1b7074554a6551e/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4286bfbddfce8f8bc7cf769814f486ce53e9e5c0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e1b7074554a6551e/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"bin_3\", \"nom_0\", COUNT(*) AS \"row_count\"\nFROM \"c15\"\nWHERE \"target\" = '1'\nGROUP BY \"bin_3\", \"nom_0\"\nORDER BY \"row_count\" DESC;","notes":"Applied the filtered two-dimensional group count template with \"bin_3\" and \"nom_0\", using \"target\" = '1' as the required filter."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e1b7074554a6551e/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e1b7074554a6551e/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e20db19e8179b578/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e20db19e8179b578/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..b53c835047f459de75253256a1686567e7ae91e4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e20db19e8179b578/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "N", "support": 312344, "support_share": 0.5205733333333333, "support_rank": 1}, {"value_label": "Y", "support": 269609, "support_share": 0.44934833333333335, "support_rank": 2}, {"value_label": "", "support": 18047, "support_share": 0.030078333333333332, "support_rank": 3}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e20db19e8179b578/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e20db19e8179b578/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..ef0bc23c0426221cb28286b3ac4146121c26cb9f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e20db19e8179b578/generated_sql.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c15 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: value_imbalance_profile +-- variant_semantic_role: count_distribution +-- template_id: tpl_cardinality_support_rank_profile +-- query_record_id: v2q_c15_e20db19e8179b578 +-- problem_id: v2p_c15_e75b312a9d207733 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "bin_4" AS value_label, COUNT(*) AS support + FROM "c15" + GROUP BY "bin_4" +) +SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank +FROM grouped +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e20db19e8179b578/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e20db19e8179b578/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6ef5643ff4025d3667375adc594b7d5d819cc1fa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e20db19e8179b578/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_b\n-- sql_source_dataset_id: c15\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: value_imbalance_profile\n-- variant_semantic_role: count_distribution\n-- template_id: tpl_cardinality_support_rank_profile\n-- query_record_id: v2q_c15_e20db19e8179b578\n-- problem_id: v2p_c15_e75b312a9d207733\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"bin_4\" AS value_label, COUNT(*) AS support\n FROM \"c15\"\n GROUP BY \"bin_4\"\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_b\\n-- sql_source_dataset_id: c15\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: value_imbalance_profile\\n-- variant_semantic_role: count_distribution\\n-- template_id: tpl_cardinality_support_rank_profile\\n-- query_record_id: v2q_c15_e20db19e8179b578\\n-- problem_id: v2p_c15_e75b312a9d207733\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"bin_4\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"c15\\\"\\n GROUP BY \\\"bin_4\\\"\\n)\\nSELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\\nFROM grouped\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"support_rank\"], \"rows\": [{\"value_label\": \"N\", \"support\": 312344, \"support_share\": 0.5205733333333333, \"support_rank\": 1}, {\"value_label\": \"Y\", \"support\": 269609, \"support_share\": 0.44934833333333335, \"support_rank\": 2}, {\"value_label\": \"\", \"support\": 18047, \"support_share\": 0.030078333333333332, \"support_rank\": 3}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 247.83}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e20db19e8179b578/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e20db19e8179b578/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..2f38038160a87096f0c663bb4e898106dc574c3a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e20db19e8179b578/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c15", + "started_at": "2026-05-19T16:13:13.863476+00:00", + "ended_at": "2026-05-19T16:13:14.112678+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c15_e20db19e8179b578", + "problem_id": "v2p_c15_e75b312a9d207733", + "dataset_id": "c15", + "template_id": "tpl_cardinality_support_rank_profile", + "template_name": "Cardinality Support Rank Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "value_imbalance_profile", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=bin_4.", + "bindings": { + "group_col": "bin_4" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=4", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/sql/v2q_c15_e20db19e8179b578.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e20db19e8179b578/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e20db19e8179b578/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e20db19e8179b578/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e3c7fc976886ad9b/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e3c7fc976886ad9b/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..6af4df7b05f54f61e03be0e8051c8d2296cc879f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e3c7fc976886ad9b/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=bin_4, condition_col=ord_0. +Result preview: [{"bin_4": "N", "condition_ratio": 1.2684467872846181}, {"bin_4": "Y", "condition_ratio": 1.267689453403739}, {"bin_4": "", "condition_ratio": 1.2636248415716096}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e3c7fc976886ad9b/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e3c7fc976886ad9b/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..48599c8c670c6c9196929d4ab488dc395f10b436 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e3c7fc976886ad9b/generated_sql.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c15 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: contrastive_conditional_view +-- template_id: tpl_m4_group_ratio_two_conditions +-- query_record_id: v2q_c15_e3c7fc976886ad9b +-- problem_id: v2p_c15_f46cd463d003f695 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "bin_4", + SUM(CASE WHEN "ord_0" = '3.0' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "ord_0" = '2.0' THEN 1 ELSE 0 END) AS denominator_count + FROM "c15" + GROUP BY "bin_4" +) +SELECT "bin_4", + CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio +FROM grouped +ORDER BY condition_ratio DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e3c7fc976886ad9b/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e3c7fc976886ad9b/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0be4e1995e9c4821c4292f4845365492d41cf690 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e3c7fc976886ad9b/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT \"bin_4\",\n SUM(CASE WHEN \"ord_0\" = '3.0' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"ord_0\" = '2.0' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"c15\"\n GROUP BY \"bin_4\"\n)\nSELECT \"bin_4\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT \\\"bin_4\\\",\\n SUM(CASE WHEN \\\"ord_0\\\" = '3.0' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"ord_0\\\" = '2.0' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"c15\\\"\\n GROUP BY \\\"bin_4\\\"\\n)\\nSELECT \\\"bin_4\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\", \"columns\": [\"bin_4\", \"condition_ratio\"], \"rows\": [{\"bin_4\": \"N\", \"condition_ratio\": 1.2684467872846181}, {\"bin_4\": \"Y\", \"condition_ratio\": 1.267689453403739}, {\"bin_4\": \"\", \"condition_ratio\": 1.2636248415716096}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 315.31}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e3c7fc976886ad9b/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e3c7fc976886ad9b/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..b5c6af21567a2a2361fa1336043d04b87b60f2d8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e3c7fc976886ad9b/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c15", + "started_at": "2026-05-19T15:44:27.747729+00:00", + "ended_at": "2026-05-19T15:44:39.360355+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c15_e3c7fc976886ad9b", + "problem_id": "v2p_c15_f46cd463d003f695", + "dataset_id": "c15", + "template_id": "tpl_m4_group_ratio_two_conditions", + "template_name": "Grouped Ratio of Two Conditions", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "contrastive_conditional_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=bin_4, condition_col=ord_0.", + "bindings": { + "group_col": "bin_4", + "condition_col": "ord_0", + "condition_value": "3.0", + "positive_value": "3.0", + "negative_value": "2.0", + "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": 6.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=1/1", + "binding_index=40" + ], + "template_selection_mode": "rule", + "selected_template_rank": 4, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/sql/v2q_c15_e3c7fc976886ad9b.sql", + "usage_summary": { + "dataset_id": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_e3c7fc976886ad9b", + "api_calls": 0, + "input_tokens": 16275, + "cached_input_tokens": 14720, + "output_tokens": 538, + "total_tokens": 16813, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11261.7, + "sql_execution_elapsed_ms_total": 315.31, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e3c7fc976886ad9b/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e3c7fc976886ad9b/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e3c7fc976886ad9b/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..418decd0e33ee1f87e09a96a9ff9149ede418280 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e3c7fc976886ad9b/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:44:39.043011+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 11261.7, "started_at": "2026-05-19T15:44:27.780205+00:00", "ended_at": "2026-05-19T15:44:39.041941+00:00", "prompt_metrics": {"chars": 13092, "bytes_utf8": 13092, "lines": 399, "estimated_tokens": null}, "response_metrics": {"chars": 675, "bytes_utf8": 675, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16275, "cached_input_tokens": 14720, "output_tokens": 538, "reasoning_output_tokens": 338}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT \\\"bin_4\\\",\\n SUM(CASE WHEN \\\"ord_0\\\" = '3.0' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"ord_0\\\" = '2.0' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"c15\\\"\\n GROUP BY \\\"bin_4\\\"\\n)\\nSELECT \\\"bin_4\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Uses the requested grouped ratio template with \\\"bin_4\\\" as the grouping column and compares counts where \\\"ord_0\\\" equals '3.0' versus '2.0'. Values are treated as TEXT to match the SQLite schema.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e3c7fc976886ad9b/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e3c7fc976886ad9b/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..072d1c4257d79e3ce9f7c54765a962a8a7573ad5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e3c7fc976886ad9b/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_e3c7fc976886ad9b", + "api_calls": 0, + "input_tokens": 16275, + "cached_input_tokens": 14720, + "output_tokens": 538, + "total_tokens": 16813, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11261.7, + "sql_execution_elapsed_ms_total": 315.31, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e3c7fc976886ad9b/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e3e2c32bbf814802/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e3e2c32bbf814802/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..a02932ec6cf201032c2622086057e131b841a30d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e3e2c32bbf814802/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=ord_1, condition_col=ord_1. +Result preview: [{"ord_1": "Grandmaster", "condition_rate": 1.0}, {"ord_1": "Novice", "condition_rate": 0.0}, {"ord_1": "Master", "condition_rate": 0.0}, {"ord_1": "Expert", "condition_rate": 0.0}, {"ord_1": "Contributor", "condition_rate": 0.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e3e2c32bbf814802/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e3e2c32bbf814802/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..679dd88e8a1fbdd838f4edaa45255d2d0b89f3ce --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e3e2c32bbf814802/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c15 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_c15_e3e2c32bbf814802 +-- problem_id: v2p_c15_5a7d2e77f835bfed +-- realization_mode: agent +-- source_kind: agent +SELECT "ord_1", + AVG(CASE WHEN "ord_1" = 'Grandmaster' THEN 1 ELSE 0 END) AS condition_rate +FROM "c15" +GROUP BY "ord_1" +ORDER BY condition_rate DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e3e2c32bbf814802/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e3e2c32bbf814802/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f665ba8ea23dbc293a40c19d8ced22bd68b19a9b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e3e2c32bbf814802/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_condition_rate\nSELECT \"ord_1\",\n AVG(CASE WHEN \"ord_1\" = 'Grandmaster' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"c15\"\nGROUP BY \"ord_1\"\nORDER BY condition_rate DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"ord_1\\\",\\n AVG(CASE WHEN \\\"ord_1\\\" = 'Grandmaster' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"c15\\\"\\nGROUP BY \\\"ord_1\\\"\\nORDER BY condition_rate DESC;\", \"columns\": [\"ord_1\", \"condition_rate\"], \"rows\": [{\"ord_1\": \"Grandmaster\", \"condition_rate\": 1.0}, {\"ord_1\": \"Novice\", \"condition_rate\": 0.0}, {\"ord_1\": \"Master\", \"condition_rate\": 0.0}, {\"ord_1\": \"Expert\", \"condition_rate\": 0.0}, {\"ord_1\": \"Contributor\", \"condition_rate\": 0.0}, {\"ord_1\": \"\", \"condition_rate\": 0.0}], \"row_count_returned\": 6, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 310.38}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e3e2c32bbf814802/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e3e2c32bbf814802/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..f35e8d0b88f39547cbcde905a7c04fba2ad8b167 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e3e2c32bbf814802/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c15", + "started_at": "2026-05-19T16:06:07.379422+00:00", + "ended_at": "2026-05-19T16:06:21.138333+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c15_e3e2c32bbf814802", + "problem_id": "v2p_c15_5a7d2e77f835bfed", + "dataset_id": "c15", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=ord_1, condition_col=ord_1.", + "bindings": { + "group_col": "ord_1", + "condition_col": "ord_1", + "condition_value": "Grandmaster", + "positive_value": "Contributor", + "negative_value": "Grandmaster", + "top_k": 16, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.75, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=2/2", + "binding_index=101" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 6, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/sql/v2q_c15_e3e2c32bbf814802.sql", + "usage_summary": { + "dataset_id": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_e3e2c32bbf814802", + "api_calls": 0, + "input_tokens": 16124, + "cached_input_tokens": 12032, + "output_tokens": 648, + "total_tokens": 16772, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13407.82, + "sql_execution_elapsed_ms_total": 310.38, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e3e2c32bbf814802/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e3e2c32bbf814802/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e3e2c32bbf814802/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e72d92838b02fa36d9895dac59f0c626d82c5b45 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e3e2c32bbf814802/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:06:20.825921+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 13407.82, "started_at": "2026-05-19T16:06:07.417307+00:00", "ended_at": "2026-05-19T16:06:20.825161+00:00", "prompt_metrics": {"chars": 12554, "bytes_utf8": 12554, "lines": 399, "estimated_tokens": null}, "response_metrics": {"chars": 461, "bytes_utf8": 461, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16124, "cached_input_tokens": 12032, "output_tokens": 648, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"ord_1\\\",\\n AVG(CASE WHEN \\\"ord_1\\\" = 'Grandmaster' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"c15\\\"\\nGROUP BY \\\"ord_1\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Uses the planned Grouped Condition Rate template with \\\"ord_1\\\" as both the grouping and condition column. Since they are the same field, the \\\"Grandmaster\\\" group will have condition_rate 1.0 and all other groups will have 0.0.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e3e2c32bbf814802/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e3e2c32bbf814802/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5c65b7e0226ea927d8276c677622048f232f6550 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e3e2c32bbf814802/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_e3e2c32bbf814802", + "api_calls": 0, + "input_tokens": 16124, + "cached_input_tokens": 12032, + "output_tokens": 648, + "total_tokens": 16772, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13407.82, + "sql_execution_elapsed_ms_total": 310.38, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e3e2c32bbf814802/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e694c97a993c3d4f/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e694c97a993c3d4f/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..28b9641afbc3b0e64155eb9e90cd4df09ea887a1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e694c97a993c3d4f/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"target": "0", "total_rows": 487677, "missing_rows": 0, "missing_rate": 0.0}, {"target": "1", "total_rows": 112323, "missing_rows": 0, "missing_rate": 0.0}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e694c97a993c3d4f/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e694c97a993c3d4f/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..af79d18adebc0baeffbde5068dec9d9226b05c75 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e694c97a993c3d4f/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c15 +-- family_id: missingness_structure +-- canonical_subitem_id: co_missingness_pattern_consistency +-- intended_facet_id: missing_target_interaction +-- variant_semantic_role: missing_target_interaction +-- template_id: tpl_missing_target_interaction +-- query_record_id: v2q_c15_e694c97a993c3d4f +-- problem_id: v2p_c15_8debc64672d2a940 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "target", + COUNT(*) AS total_rows, + SUM(CASE WHEN "bin_2" IS NULL THEN 1 ELSE 0 END) AS missing_rows, + AVG(CASE WHEN "bin_2" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate +FROM "c15" +GROUP BY "target" +ORDER BY missing_rate DESC, total_rows DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e694c97a993c3d4f/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e694c97a993c3d4f/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..68a69efd41caa94edd1c6fe9613405ef3811efd9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e694c97a993c3d4f/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_b\n-- sql_source_dataset_id: c15\n-- family_id: missingness_structure\n-- canonical_subitem_id: co_missingness_pattern_consistency\n-- intended_facet_id: missing_target_interaction\n-- variant_semantic_role: missing_target_interaction\n-- template_id: tpl_missing_target_interaction\n-- query_record_id: v2q_c15_e694c97a993c3d4f\n-- problem_id: v2p_c15_8debc64672d2a940\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"target\",\n COUNT(*) AS total_rows,\n SUM(CASE WHEN \"bin_2\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN \"bin_2\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM \"c15\"\nGROUP BY \"target\"\nORDER BY missing_rate DESC, total_rows DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_b\\n-- sql_source_dataset_id: c15\\n-- family_id: missingness_structure\\n-- canonical_subitem_id: co_missingness_pattern_consistency\\n-- intended_facet_id: missing_target_interaction\\n-- variant_semantic_role: missing_target_interaction\\n-- template_id: tpl_missing_target_interaction\\n-- query_record_id: v2q_c15_e694c97a993c3d4f\\n-- problem_id: v2p_c15_8debc64672d2a940\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"target\\\",\\n COUNT(*) AS total_rows,\\n SUM(CASE WHEN \\\"bin_2\\\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\\n AVG(CASE WHEN \\\"bin_2\\\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\\nFROM \\\"c15\\\"\\nGROUP BY \\\"target\\\"\\nORDER BY missing_rate DESC, total_rows DESC;\", \"columns\": [\"target\", \"total_rows\", \"missing_rows\", \"missing_rate\"], \"rows\": [{\"target\": \"0\", \"total_rows\": 487677, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"target\": \"1\", \"total_rows\": 112323, \"missing_rows\": 0, \"missing_rate\": 0.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 341.75}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e694c97a993c3d4f/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e694c97a993c3d4f/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..a6f08e52b334d0efbf0fa4f5a591093ac31b0266 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e694c97a993c3d4f/run_manifest.json @@ -0,0 +1,59 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c15", + "started_at": "2026-05-19T16:13:06.072223+00:00", + "ended_at": "2026-05-19T16:13:06.415357+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c15_e694c97a993c3d4f", + "problem_id": "v2p_c15_8debc64672d2a940", + "dataset_id": "c15", + "template_id": "tpl_missing_target_interaction", + "template_name": "Missingness-Target Interaction", + "family_id": "missingness_structure", + "canonical_subitem_id": "co_missingness_pattern_consistency", + "intended_facet_id": "missing_target_interaction", + "variant_semantic_role": "missing_target_interaction", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": false, + "question": "Use template Missingness-Target Interaction to probe co_missingness_pattern_consistency with semantic role missing_target_interaction. Focus on target_col=target, missing_col=bin_2.", + "bindings": { + "missing_col": "bin_2", + "target_col": "target" + }, + "binding_roles": [ + "missing_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {target_col},\n COUNT(*) AS total_rows,\n SUM(CASE WHEN {missing_col} IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN {missing_col} IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM {table}\nGROUP BY {target_col}\nORDER BY missing_rate DESC, total_rows DESC;", + "notes": [ + "default_facets=missing_rate_by_subgroup,missing_target_interaction", + "template_selection_mode=deterministic", + "problem_index_within_template=2", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/sql/v2q_c15_e694c97a993c3d4f.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e694c97a993c3d4f/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e694c97a993c3d4f/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e694c97a993c3d4f/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e7d43fc1c682bbfe/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e7d43fc1c682bbfe/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..904ee016b0761c94d4afbb3f9a9363590b26802b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e7d43fc1c682bbfe/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=bin_2, measure_col=bin_1. +Result preview: [{"bin_2": "0.0", "total_measure": 75358.0}, {"bin_2": "1.0", "total_measure": 29360.0}, {"bin_2": "", "total_measure": 3261.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e7d43fc1c682bbfe/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e7d43fc1c682bbfe/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..1d3f20733efc44cac5ff463ba68ceee249605ea9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e7d43fc1c682bbfe/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c15 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_conditional_contrast +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_c15_e7d43fc1c682bbfe +-- problem_id: v2p_c15_abbed3e1411e4149 +-- realization_mode: agent +-- source_kind: agent +SELECT "bin_2", SUM(CAST(NULLIF("bin_1", '') AS REAL)) AS "total_measure" +FROM "c15" +GROUP BY "bin_2" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e7d43fc1c682bbfe/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e7d43fc1c682bbfe/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..14a24420198125a4e770ecc04a32216daff642f5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e7d43fc1c682bbfe/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_h2o_group_sum\nSELECT \"bin_2\", SUM(CAST(NULLIF(\"bin_1\", '') AS REAL)) AS \"total_measure\"\nFROM \"c15\"\nGROUP BY \"bin_2\"\nORDER BY \"total_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"bin_2\\\", SUM(CAST(NULLIF(\\\"bin_1\\\", '') AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"c15\\\"\\nGROUP BY \\\"bin_2\\\"\\nORDER BY \\\"total_measure\\\" DESC;\", \"columns\": [\"bin_2\", \"total_measure\"], \"rows\": [{\"bin_2\": \"0.0\", \"total_measure\": 75358.0}, {\"bin_2\": \"1.0\", \"total_measure\": 29360.0}, {\"bin_2\": \"\", \"total_measure\": 3261.0}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 306.15}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e7d43fc1c682bbfe/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e7d43fc1c682bbfe/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..51a1ef112ca098e437f1714568015194c9d3a73c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e7d43fc1c682bbfe/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c15", + "started_at": "2026-05-19T15:28:58.827547+00:00", + "ended_at": "2026-05-19T15:29:12.964083+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c15_e7d43fc1c682bbfe", + "problem_id": "v2p_c15_abbed3e1411e4149", + "dataset_id": "c15", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_conditional_contrast", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=bin_2, measure_col=bin_1.", + "bindings": { + "group_col": "bin_2", + "measure_col": "bin_1", + "top_k": 12, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.75, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=3", + "sql_variant_index=1/2", + "binding_index=2" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/sql/v2q_c15_e7d43fc1c682bbfe.sql", + "usage_summary": { + "dataset_id": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_e7d43fc1c682bbfe", + "api_calls": 0, + "input_tokens": 16060, + "cached_input_tokens": 0, + "output_tokens": 614, + "total_tokens": 16674, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13797.57, + "sql_execution_elapsed_ms_total": 306.15, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e7d43fc1c682bbfe/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e7d43fc1c682bbfe/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e7d43fc1c682bbfe/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..77e87171ce57a92adcdb7460a9c844d265a7d4d8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e7d43fc1c682bbfe/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:29:12.656026+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 13797.57, "started_at": "2026-05-19T15:28:58.857604+00:00", "ended_at": "2026-05-19T15:29:12.655212+00:00", "prompt_metrics": {"chars": 12281, "bytes_utf8": 12281, "lines": 396, "estimated_tokens": null}, "response_metrics": {"chars": 386, "bytes_utf8": 386, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16060, "cached_input_tokens": 0, "output_tokens": 614, "reasoning_output_tokens": 499}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"bin_2\\\", SUM(CAST(NULLIF(\\\"bin_1\\\", '') AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"c15\\\"\\nGROUP BY \\\"bin_2\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Uses the planned grouped-sum template with \\\"bin_2\\\" as the grouping column and casts text-encoded \\\"bin_1\\\" values to REAL, treating empty strings as NULL so they are ignored by SUM.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e7d43fc1c682bbfe/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e7d43fc1c682bbfe/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..2fac2133e9a7c604b9bd11506a211779876ec227 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e7d43fc1c682bbfe/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_e7d43fc1c682bbfe", + "api_calls": 0, + "input_tokens": 16060, + "cached_input_tokens": 0, + "output_tokens": 614, + "total_tokens": 16674, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13797.57, + "sql_execution_elapsed_ms_total": 306.15, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e7d43fc1c682bbfe/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_eb5874eed132b72b/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_eb5874eed132b72b/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..7040e5a72e370402df2cebbbffc1f7bb4653ffb6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_eb5874eed132b72b/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=nom_3, condition_col=target. +Result preview: [{"nom_3": "China", "condition_ratio": 6.252786220871327}, {"nom_3": "Canada", "condition_ratio": 5.2559185606060606}, {"nom_3": "India", "condition_ratio": 5.121222246974085}, {"nom_3": "Finland", "condition_ratio": 4.588257292445774}, {"nom_3": "", "condition_ratio": 4.380344418052257}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_eb5874eed132b72b/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_eb5874eed132b72b/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..a17dda4e9cfd5d6c2bedc84e0a7ee3c78eff6155 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_eb5874eed132b72b/generated_sql.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c15 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: contrastive_conditional_view +-- template_id: tpl_m4_group_ratio_two_conditions +-- query_record_id: v2q_c15_eb5874eed132b72b +-- problem_id: v2p_c15_17b0b22be261b818 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT + "nom_3", + SUM(CASE WHEN "target" = '0' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "target" = '1' THEN 1 ELSE 0 END) AS denominator_count + FROM "c15" + GROUP BY "nom_3" +) +SELECT + "nom_3", + CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio +FROM grouped +WHERE numerator_count + denominator_count >= 5 +ORDER BY condition_ratio DESC +LIMIT 14; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_eb5874eed132b72b/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_eb5874eed132b72b/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7da3b6f969011f97cd53c0e3863f89b10dec7c23 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_eb5874eed132b72b/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT\n \"nom_3\",\n SUM(CASE WHEN \"target\" = '0' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"target\" = '1' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"c15\"\n GROUP BY \"nom_3\"\n)\nSELECT\n \"nom_3\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nWHERE numerator_count + denominator_count >= 5\nORDER BY condition_ratio DESC\nLIMIT 14;", "result": "{\"query\": \"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT\\n \\\"nom_3\\\",\\n SUM(CASE WHEN \\\"target\\\" = '0' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"target\\\" = '1' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"c15\\\"\\n GROUP BY \\\"nom_3\\\"\\n)\\nSELECT\\n \\\"nom_3\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nWHERE numerator_count + denominator_count >= 5\\nORDER BY condition_ratio DESC\\nLIMIT 14;\", \"columns\": [\"nom_3\", \"condition_ratio\"], \"rows\": [{\"nom_3\": \"China\", \"condition_ratio\": 6.252786220871327}, {\"nom_3\": \"Canada\", \"condition_ratio\": 5.2559185606060606}, {\"nom_3\": \"India\", \"condition_ratio\": 5.121222246974085}, {\"nom_3\": \"Finland\", \"condition_ratio\": 4.588257292445774}, {\"nom_3\": \"\", \"condition_ratio\": 4.380344418052257}, {\"nom_3\": \"Costa Rica\", \"condition_ratio\": 3.9300883231588517}, {\"nom_3\": \"Russia\", \"condition_ratio\": 3.555095214565358}], \"row_count_returned\": 7, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 362.0}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_eb5874eed132b72b/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_eb5874eed132b72b/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..6712cb5da837275689158bd89eecf2caa3baf30e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_eb5874eed132b72b/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c15", + "started_at": "2026-05-19T15:45:44.591620+00:00", + "ended_at": "2026-05-19T15:46:11.886167+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c15_eb5874eed132b72b", + "problem_id": "v2p_c15_17b0b22be261b818", + "dataset_id": "c15", + "template_id": "tpl_m4_group_ratio_two_conditions", + "template_name": "Grouped Ratio of Two Conditions", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "contrastive_conditional_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=nom_3, condition_col=target.", + "bindings": { + "group_col": "nom_3", + "condition_col": "target", + "condition_value": "0", + "positive_value": "0", + "negative_value": "1", + "top_k": 14, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.75, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=9", + "sql_variant_index=1/1", + "binding_index=44" + ], + "template_selection_mode": "rule", + "selected_template_rank": 4, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/sql/v2q_c15_eb5874eed132b72b.sql", + "usage_summary": { + "dataset_id": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_eb5874eed132b72b", + "api_calls": 0, + "input_tokens": 16265, + "cached_input_tokens": 14720, + "output_tokens": 1155, + "total_tokens": 17420, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 26893.58, + "sql_execution_elapsed_ms_total": 362.0, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_eb5874eed132b72b/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_eb5874eed132b72b/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_eb5874eed132b72b/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7edb0de183fdad791c787383f1d76928859a141f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_eb5874eed132b72b/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:46:11.520970+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 26893.58, "started_at": "2026-05-19T15:45:44.626625+00:00", "ended_at": "2026-05-19T15:46:11.520230+00:00", "prompt_metrics": {"chars": 13089, "bytes_utf8": 13089, "lines": 399, "estimated_tokens": null}, "response_metrics": {"chars": 751, "bytes_utf8": 751, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16265, "cached_input_tokens": 14720, "output_tokens": 1155, "reasoning_output_tokens": 941}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT\\n \\\"nom_3\\\",\\n SUM(CASE WHEN \\\"target\\\" = '0' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"target\\\" = '1' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"c15\\\"\\n GROUP BY \\\"nom_3\\\"\\n)\\nSELECT\\n \\\"nom_3\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nWHERE numerator_count + denominator_count >= 5\\nORDER BY condition_ratio DESC\\nLIMIT 14;\",\"notes\":\"Computes the ratio of target='0' to target='1' within each nom_3 group, guards against divide-by-zero with NULLIF, applies a minimum support of 5 rows per group, and returns the top 14 groups by descending ratio.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_eb5874eed132b72b/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_eb5874eed132b72b/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..86c9373227db1db08e533e7207d3dc460de98470 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_eb5874eed132b72b/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_eb5874eed132b72b", + "api_calls": 0, + "input_tokens": 16265, + "cached_input_tokens": 14720, + "output_tokens": 1155, + "total_tokens": 17420, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 26893.58, + "sql_execution_elapsed_ms_total": 362.0, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_eb5874eed132b72b/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_eb61ec138408046c/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_eb61ec138408046c/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..f950298c13b76f52ac9bc70bc1fa1050f09da395 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_eb61ec138408046c/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=nom_4, measure_col=month. +Result preview: [{"nom_4": "Piano", "nom_8": "d7e75499d", "total_measure": 1527.0, "share_within_group": 0.9588817441977293}, {"nom_4": "Piano", "nom_8": "587840371", "total_measure": 1504.0, "share_within_group": 0.9444388626544761}, {"nom_4": "Piano", "nom_8": "7d7c02c57", "total_measure": 1487.0, "share_within_group": 0.9337636893398975}, {"nom_4": "Oboe", "nom_8": "484c96b82", "total_measure": 2802.0, "share_within_group": 0.9273539632632798}, {"nom_4": "Piano", "nom_8": "964a66013", "total_measure": 1460.0, "share_within_group": 0.916809002310861}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_eb61ec138408046c/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_eb61ec138408046c/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..604bb9238bb9385ca301dbaf36bc0fbf20d8beb9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_eb61ec138408046c/generated_sql.sql @@ -0,0 +1,22 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c15 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_c15_eb61ec138408046c +-- problem_id: v2p_c15_34d4769765f3c36e +-- realization_mode: agent +-- source_kind: agent +SELECT "nom_4", "nom_8", + SUM(CAST("month" AS REAL)) AS total_measure, + SUM(CAST("month" AS REAL)) * 100.0 / SUM(SUM(CAST("month" AS REAL))) OVER (PARTITION BY "nom_4") AS share_within_group +FROM "c15" +WHERE "nom_4" <> '' + AND "nom_8" <> '' + AND "month" <> '' +GROUP BY "nom_4", "nom_8" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_eb61ec138408046c/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_eb61ec138408046c/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1d6789ea6dd337d2ccc97e1d2d163911f4e97ace --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_eb61ec138408046c/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpcds_within_group_share\nSELECT \"nom_4\", \"nom_8\",\n SUM(CAST(\"month\" AS REAL)) AS total_measure,\n SUM(CAST(\"month\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"month\" AS REAL))) OVER (PARTITION BY \"nom_4\") AS share_within_group\nFROM \"c15\"\nWHERE \"nom_4\" <> ''\n AND \"nom_8\" <> ''\n AND \"month\" <> ''\nGROUP BY \"nom_4\", \"nom_8\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"nom_4\\\", \\\"nom_8\\\",\\n SUM(CAST(\\\"month\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"month\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"month\\\" AS REAL))) OVER (PARTITION BY \\\"nom_4\\\") AS share_within_group\\nFROM \\\"c15\\\"\\nWHERE \\\"nom_4\\\" <> ''\\n AND \\\"nom_8\\\" <> ''\\n AND \\\"month\\\" <> ''\\nGROUP BY \\\"nom_4\\\", \\\"nom_8\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"nom_4\", \"nom_8\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"nom_4\": \"Piano\", \"nom_8\": \"d7e75499d\", \"total_measure\": 1527.0, \"share_within_group\": 0.9588817441977293}, {\"nom_4\": \"Piano\", \"nom_8\": \"587840371\", \"total_measure\": 1504.0, \"share_within_group\": 0.9444388626544761}, {\"nom_4\": \"Piano\", \"nom_8\": \"7d7c02c57\", \"total_measure\": 1487.0, \"share_within_group\": 0.9337636893398975}, {\"nom_4\": \"Oboe\", \"nom_8\": \"484c96b82\", \"total_measure\": 2802.0, \"share_within_group\": 0.9273539632632798}, {\"nom_4\": \"Piano\", \"nom_8\": \"964a66013\", \"total_measure\": 1460.0, \"share_within_group\": 0.916809002310861}, {\"nom_4\": \"Oboe\", \"nom_8\": \"ef752c107\", \"total_measure\": 2746.0, \"share_within_group\": 0.908820122455734}, {\"nom_4\": \"Oboe\", \"nom_8\": \"7d7c02c57\", \"total_measure\": 2703.0, \"share_within_group\": 0.8945887804070826}, {\"nom_4\": \"Oboe\", \"nom_8\": \"d7e75499d\", \"total_measure\": 2689.0, \"share_within_group\": 0.8899553202051961}, {\"nom_4\": \"Oboe\", \"nom_8\": \"45121db5e\", \"total_measure\": 2687.0, \"share_within_group\": 0.8892933973192123}, {\"nom_4\": \"Bassoon\", \"nom_8\": \"ef752c107\", \"total_measure\": 10417.0, \"share_within_group\": 0.8852009058502118}, {\"nom_4\": \"Piano\", \"nom_8\": \"60c7c84ee\", \"total_measure\": 1396.0, \"share_within_group\": 0.8766201145383301}, {\"nom_4\": \"Theremin\", \"nom_8\": \"d7e75499d\", \"total_measure\": 16208.0, \"share_within_group\": 0.8750670148650174}, {\"nom_4\": \"Theremin\", \"nom_8\": \"484c96b82\", \"total_measure\": 16202.0, \"share_within_group\": 0.8747430759404622}, {\"nom_4\": \"Piano\", \"nom_8\": \"158183c63\", \"total_measure\": 1392.0, \"share_within_group\": 0.874108309052547}, {\"nom_4\": \"Piano\", \"nom_8\": \"5859a8a06\", \"total_measure\": 1392.0, \"share_within_group\": 0.874108309052547}, {\"nom_4\": \"Bassoon\", \"nom_8\": \"15f03b1f4\", \"total_measure\": 10261.0, \"share_within_group\": 0.8719445612872251}, {\"nom_4\": \"Oboe\", \"nom_8\": \"cf30695f0\", \"total_measure\": 2632.0, \"share_within_group\": 0.8710905179546583}, {\"nom_4\": \"Oboe\", \"nom_8\": \"fe070240a\", \"total_measure\": 2617.0, \"share_within_group\": 0.8661260963097799}, {\"nom_4\": \"Theremin\", \"nom_8\": \"5859a8a06\", \"total_measure\": 16034.0, \"share_within_group\": 0.8656727860529175}, {\"nom_4\": \"Bassoon\", \"nom_8\": \"fe070240a\", \"total_measure\": 10175.0, \"share_within_group\": 0.86463657646404}, {\"nom_4\": \"Theremin\", \"nom_8\": \"15f03b1f4\", \"total_measure\": 16004.0, \"share_within_group\": 0.8640530914301418}, {\"nom_4\": \"Piano\", \"nom_8\": \"ad5be5be4\", \"total_measure\": 1374.0, \"share_within_group\": 0.8628051843665226}, {\"nom_4\": \"Piano\", \"nom_8\": \"d48e8b7af\", \"total_measure\": 1373.0, \"share_within_group\": 0.8621772329950769}, {\"nom_4\": \"Theremin\", \"nom_8\": \"158183c63\", \"total_measure\": 15895.0, \"share_within_group\": 0.8581682009673897}, {\"nom_4\": \"Bassoon\", \"nom_8\": \"158183c63\", \"total_measure\": 10097.0, \"share_within_group\": 0.8580084041825466}, {\"nom_4\": \"Theremin\", \"nom_8\": \"587840371\", \"total_measure\": 15866.0, \"share_within_group\": 0.856602496165373}, {\"nom_4\": \"Oboe\", \"nom_8\": \"573c92006\", \"total_measure\": 2588.0, \"share_within_group\": 0.8565282144630151}, {\"nom_4\": \"Bassoon\", \"nom_8\": \"7d7c02c57\", \"total_measure\": 10069.0, \"share_within_group\": 0.855629060286626}, {\"nom_4\": \"Oboe\", \"nom_8\": \"5bdcf7324\", \"total_measure\": 2572.0, \"share_within_group\": 0.8512328313751448}, {\"nom_4\": \"Oboe\", \"nom_8\": \"15f03b1f4\", \"total_measure\": 2570.0, \"share_within_group\": 0.8505709084891611}, {\"nom_4\": \"Bassoon\", \"nom_8\": \"5859a8a06\", \"total_measure\": 9998.0, \"share_within_group\": 0.8495957239791128}, {\"nom_4\": \"Oboe\", \"nom_8\": \"ad5be5be4\", \"total_measure\": 2567.0, \"share_within_group\": 0.8495780241601854}, {\"nom_4\": \"Theremin\", \"nom_8\": \"d1c6bb70d\", \"total_measure\": 15733.0, \"share_within_group\": 0.8494218500044002}, {\"nom_4\": \"Bassoon\", \"nom_8\": \"d1c6bb70d\", \"total_measure\": 9991.0, \"share_within_group\": 0.8490008880051326}, {\"nom_4\": \"Piano\", \"nom_8\": \"75a957c6d\", \"total_measure\": 1352.0, \"share_within_group\": 0.8489902541947152}, {\"nom_4\": \"Oboe\", \"nom_8\": \"bccfd92a2\", \"total_measure\": 2559.0, \"share_within_group\": 0.8469303326162502}, {\"nom_4\": \"Bassoon\", \"nom_8\": \"d48e8b7af\", \"total_measure\": 9963.0, \"share_within_group\": 0.8466215441092119}, {\"nom_4\": \"Bassoon\", \"nom_8\": \"587840371\", \"total_measure\": 9960.0, \"share_within_group\": 0.8463666144060775}, {\"nom_4\": \"Piano\", \"nom_8\": \"777ce63ea\", \"total_measure\": 1347.0, \"share_within_group\": 0.8458504973374862}, {\"nom_4\": \"Bassoon\", \"nom_8\": \"d7e75499d\", \"total_measure\": 9941.0, \"share_within_group\": 0.8447520596195599}, {\"nom_4\": \"Theremin\", \"nom_8\": \"964a66013\", \"total_measure\": 15641.0, \"share_within_group\": 0.8444547864945543}, {\"nom_4\": \"Bassoon\", \"nom_8\": \"ad5be5be4\", \"total_measure\": 9931.0, \"share_within_group\": 0.8439022939424454}, {\"nom_4\": \"Theremin\", \"nom_8\": \"7d7c02c57\", \"total_measure\": 15621.0, \"share_within_group\": 0.8433749900793704}, {\"nom_4\": \"Theremin\", \"nom_8\": \"ef752c107\", \"total_measure\": 15514.0, \"share_within_group\": 0.8375980792581367}, {\"nom_4\": \"Bassoon\", \"nom_8\": \"964a66013\", \"total_measure\": 9838.0, \"share_within_group\": 0.8359994731452802}, {\"nom_4\": \"Piano\", \"nom_8\": \"ef752c107\", \"total_measure\": 1328.0, \"share_within_group\": 0.8339194212800161}, {\"nom_4\": \"Bassoon\", \"nom_8\": \"23dc2e63d\", \"total_measure\": 9771.0, \"share_within_group\": 0.8303060431086128}, {\"nom_4\": \"Theremin\", \"nom_8\": \"1ce5cf721\", \"total_measure\": 15335.0, \"share_within_group\": 0.827933901342241}, {\"nom_4\": \"Bassoon\", \"nom_8\": \"5bdcf7324\", \"total_measure\": 9743.0, \"share_within_group\": 0.8279266992126921}, {\"nom_4\": \"Oboe\", \"nom_8\": \"964a66013\", \"total_measure\": 2491.0, \"share_within_group\": 0.8244249544928016}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 652.77}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_eb61ec138408046c/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_eb61ec138408046c/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..9bc59dcfa097657b68b0e851b481e1561f3b01f5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_eb61ec138408046c/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c15", + "started_at": "2026-05-19T15:37:39.456411+00:00", + "ended_at": "2026-05-19T15:37:54.727202+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c15_eb61ec138408046c", + "problem_id": "v2p_c15_34d4769765f3c36e", + "dataset_id": "c15", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=nom_4, measure_col=month.", + "bindings": { + "group_col": "nom_4", + "measure_col": "month", + "item_col": "nom_8", + "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": 7.92, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=2/2", + "binding_index=27" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 4, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/sql/v2q_c15_eb61ec138408046c.sql", + "usage_summary": { + "dataset_id": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_eb61ec138408046c", + "api_calls": 0, + "input_tokens": 16176, + "cached_input_tokens": 12032, + "output_tokens": 727, + "total_tokens": 16903, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14582.27, + "sql_execution_elapsed_ms_total": 652.77, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_eb61ec138408046c/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_eb61ec138408046c/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_eb61ec138408046c/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..db739bdf9c11cf3bbe1115cbd3b6173656521281 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_eb61ec138408046c/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:37:54.069581+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 14582.27, "started_at": "2026-05-19T15:37:39.486462+00:00", "ended_at": "2026-05-19T15:37:54.068768+00:00", "prompt_metrics": {"chars": 12690, "bytes_utf8": 12690, "lines": 398, "estimated_tokens": null}, "response_metrics": {"chars": 687, "bytes_utf8": 687, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16176, "cached_input_tokens": 12032, "output_tokens": 727, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"nom_4\\\", \\\"nom_8\\\",\\n SUM(CAST(\\\"month\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"month\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"month\\\" AS REAL))) OVER (PARTITION BY \\\"nom_4\\\") AS share_within_group\\nFROM \\\"c15\\\"\\nWHERE \\\"nom_4\\\" <> ''\\n AND \\\"nom_8\\\" <> ''\\n AND \\\"month\\\" <> ''\\nGROUP BY \\\"nom_4\\\", \\\"nom_8\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Uses the planned Within-Group Share of Total template with group_col=nom_4, item_col=nom_8, and measure_col=month. CAST is added because month is stored as TEXT in SQLite schema, and empty-string rows are excluded to avoid treating missing values as zero.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_eb61ec138408046c/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_eb61ec138408046c/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..8dcf757edcfc7c8c5b51d74427745d07c2d46a24 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_eb61ec138408046c/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_eb61ec138408046c", + "api_calls": 0, + "input_tokens": 16176, + "cached_input_tokens": 12032, + "output_tokens": 727, + "total_tokens": 16903, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14582.27, + "sql_execution_elapsed_ms_total": 652.77, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_eb61ec138408046c/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ec24e76ffc781cd1/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ec24e76ffc781cd1/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..2fdc81eddc818cd66543c30e8c5cadabd1b9ea08 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ec24e76ffc781cd1/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": "2026-05-19T16:12:15.353245+00:00", + "ended_at": "2026-05-19T16:12:18.271959+00:00", + "elapsed_ms": 2918.68, + "returncode": 1, + "prompt_metrics": { + "chars": 12362, + "bytes_utf8": 12362, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ec24e76ffc781cd1/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ec24e76ffc781cd1/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..919f6e165e9ce4035044a891bf79f36bc4b91c9f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ec24e76ffc781cd1/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": "2026-05-19T16:12:19.273718+00:00", + "ended_at": "2026-05-19T16:12:22.720180+00:00", + "elapsed_ms": 3446.43, + "returncode": 1, + "prompt_metrics": { + "chars": 12362, + "bytes_utf8": 12362, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ec24e76ffc781cd1/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ec24e76ffc781cd1/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2390d9f86b29e25fef397fd834900b8492534700 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ec24e76ffc781cd1/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,396 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=ord_2, measure_col=day.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "ord_2", + "measure_col": "day", + "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": 6.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ec24e76ffc781cd1/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ec24e76ffc781cd1/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..2390d9f86b29e25fef397fd834900b8492534700 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ec24e76ffc781cd1/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,396 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=ord_2, measure_col=day.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "ord_2", + "measure_col": "day", + "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": 6.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ec24e76ffc781cd1/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ec24e76ffc781cd1/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..7b6bbea420c1d1fae026cf7f9467deaf7aa52bba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ec24e76ffc781cd1/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-61a4-77a1-a039-c1f516bc8d45"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ec24e76ffc781cd1/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ec24e76ffc781cd1/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5c97ac87af8ce992dd8ed33873a65f82abe4664d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ec24e76ffc781cd1/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-61a4-77a1-a039-c1f516bc8d45"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ec24e76ffc781cd1/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ec24e76ffc781cd1/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..3e3ee07ac3c67fbc3ada8fa59d10a4c0945f88b2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ec24e76ffc781cd1/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-70c7-7f72-b993-93c3fb83b3fd"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ec24e76ffc781cd1/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ec24e76ffc781cd1/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..2592b520006b4775a3ae72913613e74781ed8dde --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ec24e76ffc781cd1/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-70c7-7f72-b993-93c3fb83b3fd"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ec24e76ffc781cd1/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ec24e76ffc781cd1/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ec24e76ffc781cd1/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ec24e76ffc781cd1/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ec9083bb29ad5def/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ec9083bb29ad5def/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..186c0293408897bbc1adcf0d1f6fb5253f7cf7e6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ec9083bb29ad5def/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=ord_4, measure_col=bin_1. +Result preview: [{"ord_4": "A", "percentile_measure": 1.0}, {"ord_4": "B", "percentile_measure": 1.0}, {"ord_4": "C", "percentile_measure": 1.0}, {"ord_4": "D", "percentile_measure": 1.0}, {"ord_4": "E", "percentile_measure": 1.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ec9083bb29ad5def/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ec9083bb29ad5def/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..2179c64d8f7caa674fcbd7dd110e4183e90aafcf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ec9083bb29ad5def/generated_sql.sql @@ -0,0 +1,47 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c15 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_concentration_consistency +-- intended_facet_id: rare_target_concentration +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_grouped_percentile_point +-- query_record_id: v2q_c15_ec9083bb29ad5def +-- problem_id: v2p_c15_9081a6435892eb90 +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "ord_4", + CAST("bin_1" AS REAL) AS "measure_value", + ROW_NUMBER() OVER ( + PARTITION BY "ord_4" + ORDER BY CAST("bin_1" AS REAL) + ) AS "rn", + COUNT(*) OVER (PARTITION BY "ord_4") AS "cnt" + FROM "c15" + WHERE NULLIF("ord_4", '') IS NOT NULL + AND NULLIF("bin_1", '') IS NOT NULL +), +"cutoffs" AS ( + SELECT + "ord_4", + "measure_value", + "rn", + "cnt", + CAST(0.9 * "cnt" AS INTEGER) + + CASE + WHEN 0.9 * "cnt" > CAST(0.9 * "cnt" AS INTEGER) THEN 1 + ELSE 0 + END AS "target_rn" + FROM "ranked" +) +SELECT + "ord_4", + MAX(CASE WHEN "rn" = "target_rn" THEN "measure_value" END) AS "percentile_measure" +FROM "cutoffs" +WHERE "cnt" >= 5 +GROUP BY "ord_4" +ORDER BY "percentile_measure" DESC, "ord_4" +LIMIT 16; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ec9083bb29ad5def/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ec9083bb29ad5def/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..baa17ec39897bf27b176eeec4e26711bea486690 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ec9083bb29ad5def/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n \"ord_4\",\n CAST(\"bin_1\" AS REAL) AS \"measure_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"ord_4\"\n ORDER BY CAST(\"bin_1\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (PARTITION BY \"ord_4\") AS \"cnt\"\n FROM \"c15\"\n WHERE NULLIF(\"ord_4\", '') IS NOT NULL\n AND NULLIF(\"bin_1\", '') IS NOT NULL\n),\n\"cutoffs\" AS (\n SELECT\n \"ord_4\",\n \"measure_value\",\n \"rn\",\n \"cnt\",\n CAST(0.9 * \"cnt\" AS INTEGER) +\n CASE\n WHEN 0.9 * \"cnt\" > CAST(0.9 * \"cnt\" AS INTEGER) THEN 1\n ELSE 0\n END AS \"target_rn\"\n FROM \"ranked\"\n)\nSELECT\n \"ord_4\",\n MAX(CASE WHEN \"rn\" = \"target_rn\" THEN \"measure_value\" END) AS \"percentile_measure\"\nFROM \"cutoffs\"\nWHERE \"cnt\" >= 5\nGROUP BY \"ord_4\"\nORDER BY \"percentile_measure\" DESC, \"ord_4\"\nLIMIT 16;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"ord_4\\\",\\n CAST(\\\"bin_1\\\" AS REAL) AS \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"ord_4\\\"\\n ORDER BY CAST(\\\"bin_1\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"ord_4\\\") AS \\\"cnt\\\"\\n FROM \\\"c15\\\"\\n WHERE NULLIF(\\\"ord_4\\\", '') IS NOT NULL\\n AND NULLIF(\\\"bin_1\\\", '') IS NOT NULL\\n),\\n\\\"cutoffs\\\" AS (\\n SELECT\\n \\\"ord_4\\\",\\n \\\"measure_value\\\",\\n \\\"rn\\\",\\n \\\"cnt\\\",\\n CAST(0.9 * \\\"cnt\\\" AS INTEGER) +\\n CASE\\n WHEN 0.9 * \\\"cnt\\\" > CAST(0.9 * \\\"cnt\\\" AS INTEGER) THEN 1\\n ELSE 0\\n END AS \\\"target_rn\\\"\\n FROM \\\"ranked\\\"\\n)\\nSELECT\\n \\\"ord_4\\\",\\n MAX(CASE WHEN \\\"rn\\\" = \\\"target_rn\\\" THEN \\\"measure_value\\\" END) AS \\\"percentile_measure\\\"\\nFROM \\\"cutoffs\\\"\\nWHERE \\\"cnt\\\" >= 5\\nGROUP BY \\\"ord_4\\\"\\nORDER BY \\\"percentile_measure\\\" DESC, \\\"ord_4\\\"\\nLIMIT 16;\", \"columns\": [\"ord_4\", \"percentile_measure\"], \"rows\": [{\"ord_4\": \"A\", \"percentile_measure\": 1.0}, {\"ord_4\": \"B\", \"percentile_measure\": 1.0}, {\"ord_4\": \"C\", \"percentile_measure\": 1.0}, {\"ord_4\": \"D\", \"percentile_measure\": 1.0}, {\"ord_4\": \"E\", \"percentile_measure\": 1.0}, {\"ord_4\": \"F\", \"percentile_measure\": 1.0}, {\"ord_4\": \"G\", \"percentile_measure\": 1.0}, {\"ord_4\": \"H\", \"percentile_measure\": 1.0}, {\"ord_4\": \"I\", \"percentile_measure\": 1.0}, {\"ord_4\": \"J\", \"percentile_measure\": 1.0}, {\"ord_4\": \"K\", \"percentile_measure\": 1.0}, {\"ord_4\": \"L\", \"percentile_measure\": 1.0}, {\"ord_4\": \"M\", \"percentile_measure\": 1.0}, {\"ord_4\": \"N\", \"percentile_measure\": 1.0}, {\"ord_4\": \"O\", \"percentile_measure\": 1.0}, {\"ord_4\": \"P\", \"percentile_measure\": 1.0}], \"row_count_returned\": 16, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1668.5}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ec9083bb29ad5def/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ec9083bb29ad5def/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..5a038d798f025d3a7db535e5d2210c75670f7f44 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ec9083bb29ad5def/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c15", + "started_at": "2026-05-19T15:57:58.504851+00:00", + "ended_at": "2026-05-19T15:58:28.522370+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c15_ec9083bb29ad5def", + "problem_id": "v2p_c15_9081a6435892eb90", + "dataset_id": "c15", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=ord_4, measure_col=bin_1.", + "bindings": { + "group_col": "ord_4", + "measure_col": "bin_1", + "top_k": 16, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.66, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=3", + "sql_variant_index=2/2", + "binding_index=86" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 3, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/sql/v2q_c15_ec9083bb29ad5def.sql", + "usage_summary": { + "dataset_id": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_ec9083bb29ad5def", + "api_calls": 0, + "input_tokens": 16098, + "cached_input_tokens": 12032, + "output_tokens": 1819, + "total_tokens": 17917, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 28311.95, + "sql_execution_elapsed_ms_total": 1668.5, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ec9083bb29ad5def/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ec9083bb29ad5def/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ec9083bb29ad5def/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0f31383a9969f61239b9fb3f2f51c657c0c27968 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ec9083bb29ad5def/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:58:26.852270+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 28311.95, "started_at": "2026-05-19T15:57:58.539316+00:00", "ended_at": "2026-05-19T15:58:26.851301+00:00", "prompt_metrics": {"chars": 12460, "bytes_utf8": 12460, "lines": 396, "estimated_tokens": null}, "response_metrics": {"chars": 1160, "bytes_utf8": 1160, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16098, "cached_input_tokens": 12032, "output_tokens": 1819, "reasoning_output_tokens": 1437}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"ord_4\\\",\\n CAST(\\\"bin_1\\\" AS REAL) AS \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"ord_4\\\"\\n ORDER BY CAST(\\\"bin_1\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"ord_4\\\") AS \\\"cnt\\\"\\n FROM \\\"c15\\\"\\n WHERE NULLIF(\\\"ord_4\\\", '') IS NOT NULL\\n AND NULLIF(\\\"bin_1\\\", '') IS NOT NULL\\n),\\n\\\"cutoffs\\\" AS (\\n SELECT\\n \\\"ord_4\\\",\\n \\\"measure_value\\\",\\n \\\"rn\\\",\\n \\\"cnt\\\",\\n CAST(0.9 * \\\"cnt\\\" AS INTEGER) +\\n CASE\\n WHEN 0.9 * \\\"cnt\\\" > CAST(0.9 * \\\"cnt\\\" AS INTEGER) THEN 1\\n ELSE 0\\n END AS \\\"target_rn\\\"\\n FROM \\\"ranked\\\"\\n)\\nSELECT\\n \\\"ord_4\\\",\\n MAX(CASE WHEN \\\"rn\\\" = \\\"target_rn\\\" THEN \\\"measure_value\\\" END) AS \\\"percentile_measure\\\"\\nFROM \\\"cutoffs\\\"\\nWHERE \\\"cnt\\\" >= 5\\nGROUP BY \\\"ord_4\\\"\\nORDER BY \\\"percentile_measure\\\" DESC, \\\"ord_4\\\"\\nLIMIT 16;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this us"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ec9083bb29ad5def/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ec9083bb29ad5def/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..400657f15be2231c1e1b0d61bcd9db90ad4415c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ec9083bb29ad5def/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_ec9083bb29ad5def", + "api_calls": 0, + "input_tokens": 16098, + "cached_input_tokens": 12032, + "output_tokens": 1819, + "total_tokens": 17917, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 28311.95, + "sql_execution_elapsed_ms_total": 1668.5, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ec9083bb29ad5def/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ed9cc081c176c084/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ed9cc081c176c084/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ad89a305756068fc62440d82279a77111dc119d0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ed9cc081c176c084/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12688, "bytes_utf8": 12688, "lines": 398, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 734, "bytes_utf8": 734, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16180, "cached_input_tokens": 14720, "output_tokens": 1971, "reasoning_output_tokens": 1730}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ed9cc081c176c084/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ed9cc081c176c084/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..4e94526848f22cdc564ce47b8da742a1975c98ca --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ed9cc081c176c084/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_ed9cc081c176c084", + "api_calls": 0, + "input_tokens": 16180, + "cached_input_tokens": 14720, + "output_tokens": 1971, + "total_tokens": 18151, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 33404.69, + "sql_execution_elapsed_ms_total": 700.04, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ed9cc081c176c084/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ed9cc081c176c084/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ed9cc081c176c084/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..9fed5de96fdfab598a7f7f0123f1dfe99ac1da4f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ed9cc081c176c084/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": "2026-05-19T15:39:25.835520+00:00", + "ended_at": "2026-05-19T15:39:59.240238+00:00", + "elapsed_ms": 33404.69, + "prompt_metrics": { + "chars": 12688, + "bytes_utf8": 12688, + "lines": 398, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1160, + "bytes_utf8": 1160, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 734, + "bytes_utf8": 734, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16180, + "cached_input_tokens": 14720, + "output_tokens": 1971, + "reasoning_output_tokens": 1730 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ed9cc081c176c084/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ed9cc081c176c084/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..914b961660c255da83e9f507ddd9b69bd5cab538 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ed9cc081c176c084/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,398 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=ord_2, measure_col=bin_1.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "ord_2", + "measure_col": "bin_1", + "item_col": "ord_5", + "top_k": 10, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.75, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ed9cc081c176c084/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ed9cc081c176c084/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..7c06ff402f8e50d82cd4a4a72494c5a80e7c2110 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ed9cc081c176c084/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e4-5410-7970-856e-22734fc98e5f"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"ord_2\\\",\\n \\\"ord_5\\\",\\n \\\"total_measure\\\",\\n \\\"total_measure\\\" * 100.0 / NULLIF(SUM(\\\"total_measure\\\") OVER (PARTITION BY \\\"ord_2\\\"), 0) AS \\\"share_within_group\\\"\\nFROM (\\n SELECT\\n \\\"ord_2\\\",\\n \\\"ord_5\\\",\\n SUM(CASE WHEN NULLIF(\\\"bin_1\\\", '') IS NOT NULL THEN CAST(\\\"bin_1\\\" AS REAL) ELSE 0 END) AS \\\"total_measure\\\"\\n FROM \\\"c15\\\"\\n GROUP BY \\\"ord_2\\\", \\\"ord_5\\\"\\n) AS \\\"grouped\\\"\\nORDER BY \\\"share_within_group\\\" DESC;\",\"notes\":\"Uses the planned template with group_col=\\\"ord_2\\\", item_col=\\\"ord_5\\\", and measure_col=\\\"bin_1\\\". Since \\\"bin_1\\\" is stored as TEXT, the query casts it to REAL and treats empty strings as 0 for SQLite-safe aggregation.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16180,"cached_input_tokens":14720,"output_tokens":1971,"reasoning_output_tokens":1730}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ed9cc081c176c084/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ed9cc081c176c084/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6a56139eac3a5ad78122f43773b5b9cc73df79ea --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ed9cc081c176c084/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"ord_2\",\n \"ord_5\",\n \"total_measure\",\n \"total_measure\" * 100.0 / NULLIF(SUM(\"total_measure\") OVER (PARTITION BY \"ord_2\"), 0) AS \"share_within_group\"\nFROM (\n SELECT\n \"ord_2\",\n \"ord_5\",\n SUM(CASE WHEN NULLIF(\"bin_1\", '') IS NOT NULL THEN CAST(\"bin_1\" AS REAL) ELSE 0 END) AS \"total_measure\"\n FROM \"c15\"\n GROUP BY \"ord_2\", \"ord_5\"\n) AS \"grouped\"\nORDER BY \"share_within_group\" DESC;","notes":"Uses the planned template with group_col=\"ord_2\", item_col=\"ord_5\", and measure_col=\"bin_1\". Since \"bin_1\" is stored as TEXT, the query casts it to REAL and treats empty strings as 0 for SQLite-safe aggregation."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ed9cc081c176c084/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ed9cc081c176c084/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f0b583ec02fdaa22/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f0b583ec02fdaa22/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..1efd7c7a416a83083ab575ba8b0490bd51d18d71 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f0b583ec02fdaa22/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=ord_3, measure_col=bin_2. +Result preview: [{"ord_3": "l", "id": "100911", "total_measure": 1.0, "share_within_group": 0.13210039630118892}, {"ord_3": "l", "id": "101618", "total_measure": 1.0, "share_within_group": 0.13210039630118892}, {"ord_3": "l", "id": "101974", "total_measure": 1.0, "share_within_group": 0.13210039630118892}, {"ord_3": "l", "id": "103639", "total_measure": 1.0, "share_within_group": 0.13210039630118892}, {"ord_3": "l", "id": "103687", "total_measure": 1.0, "share_within_group": 0.13210039630118892}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f0b583ec02fdaa22/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f0b583ec02fdaa22/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..62db32ad939cbb875168823cea680096e9f53b59 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f0b583ec02fdaa22/generated_sql.sql @@ -0,0 +1,22 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c15 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_c15_f0b583ec02fdaa22 +-- problem_id: v2p_c15_b362bbd67f42fcb7 +-- realization_mode: agent +-- source_kind: agent +SELECT + "ord_3", + "id", + SUM(COALESCE(CAST(NULLIF("bin_2", '') AS REAL), 0.0)) AS total_measure, + SUM(COALESCE(CAST(NULLIF("bin_2", '') AS REAL), 0.0)) * 100.0 / + SUM(SUM(COALESCE(CAST(NULLIF("bin_2", '') AS REAL), 0.0))) OVER (PARTITION BY "ord_3") AS share_within_group +FROM "c15" +GROUP BY "ord_3", "id" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f0b583ec02fdaa22/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f0b583ec02fdaa22/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..bb299c1abe7b6b5f723182d5469ffddde0aaf102 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f0b583ec02fdaa22/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"ord_3\",\n \"id\",\n SUM(COALESCE(CAST(NULLIF(\"bin_2\", '') AS REAL), 0.0)) AS total_measure,\n SUM(COALESCE(CAST(NULLIF(\"bin_2\", '') AS REAL), 0.0)) * 100.0 /\n SUM(SUM(COALESCE(CAST(NULLIF(\"bin_2\", '') AS REAL), 0.0))) OVER (PARTITION BY \"ord_3\") AS share_within_group\nFROM \"c15\"\nGROUP BY \"ord_3\", \"id\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"ord_3\\\",\\n \\\"id\\\",\\n SUM(COALESCE(CAST(NULLIF(\\\"bin_2\\\", '') AS REAL), 0.0)) AS total_measure,\\n SUM(COALESCE(CAST(NULLIF(\\\"bin_2\\\", '') AS REAL), 0.0)) * 100.0 /\\n SUM(SUM(COALESCE(CAST(NULLIF(\\\"bin_2\\\", '') AS REAL), 0.0))) OVER (PARTITION BY \\\"ord_3\\\") AS share_within_group\\nFROM \\\"c15\\\"\\nGROUP BY \\\"ord_3\\\", \\\"id\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"ord_3\", \"id\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"ord_3\": \"l\", \"id\": \"100911\", \"total_measure\": 1.0, \"share_within_group\": 0.13210039630118892}, {\"ord_3\": \"l\", \"id\": \"101618\", \"total_measure\": 1.0, \"share_within_group\": 0.13210039630118892}, {\"ord_3\": \"l\", \"id\": \"101974\", \"total_measure\": 1.0, \"share_within_group\": 0.13210039630118892}, {\"ord_3\": \"l\", \"id\": \"103639\", \"total_measure\": 1.0, \"share_within_group\": 0.13210039630118892}, {\"ord_3\": \"l\", \"id\": \"103687\", \"total_measure\": 1.0, \"share_within_group\": 0.13210039630118892}, {\"ord_3\": \"l\", \"id\": \"103728\", \"total_measure\": 1.0, \"share_within_group\": 0.13210039630118892}, {\"ord_3\": \"l\", \"id\": \"10419\", \"total_measure\": 1.0, \"share_within_group\": 0.13210039630118892}, {\"ord_3\": \"l\", \"id\": \"104846\", \"total_measure\": 1.0, \"share_within_group\": 0.13210039630118892}, {\"ord_3\": \"l\", \"id\": \"105900\", \"total_measure\": 1.0, \"share_within_group\": 0.13210039630118892}, {\"ord_3\": \"l\", \"id\": \"109452\", \"total_measure\": 1.0, \"share_within_group\": 0.13210039630118892}, {\"ord_3\": \"l\", \"id\": \"112012\", \"total_measure\": 1.0, \"share_within_group\": 0.13210039630118892}, {\"ord_3\": \"l\", \"id\": \"112045\", \"total_measure\": 1.0, \"share_within_group\": 0.13210039630118892}, {\"ord_3\": \"l\", \"id\": \"112156\", \"total_measure\": 1.0, \"share_within_group\": 0.13210039630118892}, {\"ord_3\": \"l\", \"id\": \"114441\", \"total_measure\": 1.0, \"share_within_group\": 0.13210039630118892}, {\"ord_3\": \"l\", \"id\": \"114557\", \"total_measure\": 1.0, \"share_within_group\": 0.13210039630118892}, {\"ord_3\": \"l\", \"id\": \"114726\", \"total_measure\": 1.0, \"share_within_group\": 0.13210039630118892}, {\"ord_3\": \"l\", \"id\": \"115087\", \"total_measure\": 1.0, \"share_within_group\": 0.13210039630118892}, {\"ord_3\": \"l\", \"id\": \"115636\", \"total_measure\": 1.0, \"share_within_group\": 0.13210039630118892}, {\"ord_3\": \"l\", \"id\": \"117080\", \"total_measure\": 1.0, \"share_within_group\": 0.13210039630118892}, {\"ord_3\": \"l\", \"id\": \"11710\", \"total_measure\": 1.0, \"share_within_group\": 0.13210039630118892}, {\"ord_3\": \"l\", \"id\": \"118465\", \"total_measure\": 1.0, \"share_within_group\": 0.13210039630118892}, {\"ord_3\": \"l\", \"id\": \"118991\", \"total_measure\": 1.0, \"share_within_group\": 0.13210039630118892}, {\"ord_3\": \"l\", \"id\": \"120829\", \"total_measure\": 1.0, \"share_within_group\": 0.13210039630118892}, {\"ord_3\": \"l\", \"id\": \"120831\", \"total_measure\": 1.0, \"share_within_group\": 0.13210039630118892}, {\"ord_3\": \"l\", \"id\": \"121445\", \"total_measure\": 1.0, \"share_within_group\": 0.13210039630118892}, {\"ord_3\": \"l\", \"id\": \"121685\", \"total_measure\": 1.0, \"share_within_group\": 0.13210039630118892}, {\"ord_3\": \"l\", \"id\": \"121890\", \"total_measure\": 1.0, \"share_within_group\": 0.13210039630118892}, {\"ord_3\": \"l\", \"id\": \"122460\", \"total_measure\": 1.0, \"share_within_group\": 0.13210039630118892}, {\"ord_3\": \"l\", \"id\": \"123141\", \"total_measure\": 1.0, \"share_within_group\": 0.13210039630118892}, {\"ord_3\": \"l\", \"id\": \"123667\", \"total_measure\": 1.0, \"share_within_group\": 0.13210039630118892}, {\"ord_3\": \"l\", \"id\": \"124478\", \"total_measure\": 1.0, \"share_within_group\": 0.13210039630118892}, {\"ord_3\": \"l\", \"id\": \"125121\", \"total_measure\": 1.0, \"share_within_group\": 0.13210039630118892}, {\"ord_3\": \"l\", \"id\": \"125537\", \"total_measure\": 1.0, \"share_within_group\": 0.13210039630118892}, {\"ord_3\": \"l\", \"id\": \"126346\", \"total_measure\": 1.0, \"share_within_group\": 0.13210039630118892}, {\"ord_3\": \"l\", \"id\": \"126813\", \"total_measure\": 1.0, \"share_within_group\": 0.13210039630118892}, {\"ord_3\": \"l\", \"id\": \"126938\", \"total_measure\": 1.0, \"share_within_group\": 0.13210039630118892}, {\"ord_3\": \"l\", \"id\": \"129630\", \"total_measure\": 1.0, \"share_within_group\": 0.13210039630118892}, {\"ord_3\": \"l\", \"id\": \"130159\", \"total_measure\": 1.0, \"share_within_group\": 0.13210039630118892}, {\"ord_3\": \"l\", \"id\": \"132487\", \"total_measure\": 1.0, \"share_within_group\": 0.13210039630118892}, {\"ord_3\": \"l\", \"id\": \"132663\", \"total_measure\": 1.0, \"share_within_group\": 0.13210039630118892}, {\"ord_3\": \"l\", \"id\": \"133253\", \"total_measure\": 1.0, \"share_within_group\": 0.13210039630118892}, {\"ord_3\": \"l\", \"id\": \"133721\", \"total_measure\": 1.0, \"share_within_group\": 0.13210039630118892}, {\"ord_3\": \"l\", \"id\": \"134055\", \"total_measure\": 1.0, \"share_within_group\": 0.13210039630118892}, {\"ord_3\": \"l\", \"id\": \"134493\", \"total_measure\": 1.0, \"share_within_group\": 0.13210039630118892}, {\"ord_3\": \"l\", \"id\": \"135734\", \"total_measure\": 1.0, \"share_within_group\": 0.13210039630118892}, {\"ord_3\": \"l\", \"id\": \"137688\", \"total_measure\": 1.0, \"share_within_group\": 0.13210039630118892}, {\"ord_3\": \"l\", \"id\": \"139798\", \"total_measure\": 1.0, \"share_within_group\": 0.13210039630118892}, {\"ord_3\": \"l\", \"id\": \"140659\", \"total_measure\": 1.0, \"share_within_group\": 0.13210039630118892}, {\"ord_3\": \"l\", \"id\": \"142464\", \"total_measure\": 1.0, \"share_within_group\": 0.13210039630118892}, {\"ord_3\": \"l\", \"id\": \"143096\", \"total_measure\": 1.0, \"share_within_group\": 0.13210039630118892}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 2046.08}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f0b583ec02fdaa22/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f0b583ec02fdaa22/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..679488adfe393e13549b8333ba6d2cb55fb59296 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f0b583ec02fdaa22/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c15", + "started_at": "2026-05-19T15:40:41.208753+00:00", + "ended_at": "2026-05-19T15:41:02.082957+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c15_f0b583ec02fdaa22", + "problem_id": "v2p_c15_b362bbd67f42fcb7", + "dataset_id": "c15", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=ord_3, measure_col=bin_2.", + "bindings": { + "group_col": "ord_3", + "measure_col": "bin_2", + "item_col": "id", + "top_k": 16, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.66, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=8", + "sql_variant_index=2/2", + "binding_index=31" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 8, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/sql/v2q_c15_f0b583ec02fdaa22.sql", + "usage_summary": { + "dataset_id": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_f0b583ec02fdaa22", + "api_calls": 0, + "input_tokens": 16178, + "cached_input_tokens": 12032, + "output_tokens": 742, + "total_tokens": 16920, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 18777.71, + "sql_execution_elapsed_ms_total": 2046.08, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f0b583ec02fdaa22/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f0b583ec02fdaa22/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f0b583ec02fdaa22/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e22a6283927d711af3519bdef9a6800e13cb1726 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f0b583ec02fdaa22/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:41:00.022016+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 18777.71, "started_at": "2026-05-19T15:40:41.243235+00:00", "ended_at": "2026-05-19T15:41:00.020982+00:00", "prompt_metrics": {"chars": 12687, "bytes_utf8": 12687, "lines": 398, "estimated_tokens": null}, "response_metrics": {"chars": 678, "bytes_utf8": 678, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16178, "cached_input_tokens": 12032, "output_tokens": 742, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"ord_3\\\",\\n \\\"id\\\",\\n SUM(COALESCE(CAST(NULLIF(\\\"bin_2\\\", '') AS REAL), 0.0)) AS total_measure,\\n SUM(COALESCE(CAST(NULLIF(\\\"bin_2\\\", '') AS REAL), 0.0)) * 100.0 /\\n SUM(SUM(COALESCE(CAST(NULLIF(\\\"bin_2\\\", '') AS REAL), 0.0))) OVER (PARTITION BY \\\"ord_3\\\") AS share_within_group\\nFROM \\\"c15\\\"\\nGROUP BY \\\"ord_3\\\", \\\"id\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Used the required template with group_col=\\\"ord_3\\\", item_col=\\\"id\\\", and measure_col=\\\"bin_2\\\". Since \\\"bin_2\\\" is stored as TEXT, the query casts non-empty values to REAL and treats empty strings as 0.0 for SQLite-compatible aggregation.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f0b583ec02fdaa22/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f0b583ec02fdaa22/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5ea845bbd68b62a664c6679eea81f6fc10e0b0af --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f0b583ec02fdaa22/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_f0b583ec02fdaa22", + "api_calls": 0, + "input_tokens": 16178, + "cached_input_tokens": 12032, + "output_tokens": 742, + "total_tokens": 16920, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 18777.71, + "sql_execution_elapsed_ms_total": 2046.08, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f0b583ec02fdaa22/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f2930be750718863/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f2930be750718863/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..692aaf880cd98a10b1bacf2aacc8227dc4667e64 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f2930be750718863/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12836, "bytes_utf8": 12836, "lines": 396, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_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": 12836, "bytes_utf8": 12836, "lines": 396, "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": 757, "bytes_utf8": 757, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16198, "cached_input_tokens": 12032, "output_tokens": 739, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f2930be750718863/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f2930be750718863/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..f12f7237f7c3f8fd2da0a55deccab6982eef34bb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f2930be750718863/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_f2930be750718863", + "api_calls": 0, + "input_tokens": 16198, + "cached_input_tokens": 12032, + "output_tokens": 739, + "total_tokens": 16937, + "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": 16959.59, + "sql_execution_elapsed_ms_total": 366.78, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f2930be750718863/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f2930be750718863/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f2930be750718863/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4f1f402aaff518581ffb54fa97d0eda2c2bc276f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f2930be750718863/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:54:09.914346+00:00", + "ended_at": "2026-05-19T15:54:13.372207+00:00", + "elapsed_ms": 3457.83, + "returncode": 1, + "prompt_metrics": { + "chars": 12836, + "bytes_utf8": 12836, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f2930be750718863/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f2930be750718863/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f52387904d416a6b0d34ac53e57c291c083b44c8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f2930be750718863/cli/sql_attempt_2.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:54:14.374426+00:00", + "ended_at": "2026-05-19T15:54:27.876237+00:00", + "elapsed_ms": 13501.76, + "prompt_metrics": { + "chars": 12836, + "bytes_utf8": 12836, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1148, + "bytes_utf8": 1148, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 757, + "bytes_utf8": 757, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16198, + "cached_input_tokens": 12032, + "output_tokens": 739, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f2930be750718863/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f2930be750718863/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7ff6350807fa7da5b4a222b0bf5b427bb2170de7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f2930be750718863/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,396 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=nom_2, measure_col=bin_1.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "nom_2", + "measure_col": "bin_1", + "top_k": 14, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.75, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f2930be750718863/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f2930be750718863/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..7ff6350807fa7da5b4a222b0bf5b427bb2170de7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f2930be750718863/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,396 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=nom_2, measure_col=bin_1.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "nom_2", + "measure_col": "bin_1", + "top_k": 14, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.75, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f2930be750718863/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f2930be750718863/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b2279e4d24d5a286822c34e8314f10b02ae2ab3a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f2930be750718863/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f1-d1a4-7472-8dbd-ea0ff778aed0"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f2930be750718863/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f2930be750718863/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9ec1268fb574818ef7033bf8e39a0adddefa2c6b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f2930be750718863/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f1-d1a4-7472-8dbd-ea0ff778aed0"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f2930be750718863/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f2930be750718863/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c9237926eb3ad0c2f77a9df0a7a7086e03d98692 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f2930be750718863/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f1-e2f7-7ac1-a211-127aa91d4b87"} +{"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 \\\"nom_2\\\", SUM(CAST(\\\"bin_1\\\" AS REAL)) AS group_value\\n FROM \\\"c15\\\"\\n WHERE \\\"nom_2\\\" IS NOT NULL\\n AND \\\"nom_2\\\" <> ''\\n AND \\\"bin_1\\\" IS NOT NULL\\n AND \\\"bin_1\\\" <> ''\\n GROUP BY \\\"nom_2\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"nom_2\\\", 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 threshold template with group_col=\\\"nom_2\\\" and measure_col=\\\"bin_1\\\". Cast \\\"bin_1\\\" from TEXT to REAL for SQLite aggregation and filtered blank/null values to form a stable grouped view.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16198,"cached_input_tokens":12032,"output_tokens":739,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f2930be750718863/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f2930be750718863/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..fd8f58bb06a95344955d43620f606fc7da7259a1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f2930be750718863/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"nom_2\", SUM(CAST(\"bin_1\" AS REAL)) AS group_value\n FROM \"c15\"\n WHERE \"nom_2\" IS NOT NULL\n AND \"nom_2\" <> ''\n AND \"bin_1\" IS NOT NULL\n AND \"bin_1\" <> ''\n GROUP BY \"nom_2\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"nom_2\", 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 threshold template with group_col=\"nom_2\" and measure_col=\"bin_1\". Cast \"bin_1\" from TEXT to REAL for SQLite aggregation and filtered blank/null values to form a stable grouped view."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f2930be750718863/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f2930be750718863/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f2930be750718863/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f2930be750718863/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f706bdcc888c59ca/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f706bdcc888c59ca/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..613146f94859ef2b6513c779a147d6c324380f20 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f706bdcc888c59ca/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 13115, "bytes_utf8": 13115, "lines": 399, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 705, "bytes_utf8": 705, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16270, "cached_input_tokens": 12032, "output_tokens": 727, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f706bdcc888c59ca/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f706bdcc888c59ca/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..d10b4a6678a26d119e63d967452e1a7c2b48fae0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f706bdcc888c59ca/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_f706bdcc888c59ca", + "api_calls": 0, + "input_tokens": 16270, + "cached_input_tokens": 12032, + "output_tokens": 727, + "total_tokens": 16997, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 18773.53, + "sql_execution_elapsed_ms_total": 349.35, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f706bdcc888c59ca/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f706bdcc888c59ca/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f706bdcc888c59ca/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..5ff3a7ca7c3d74874856044aa2f5e8da054a51cf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f706bdcc888c59ca/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": "2026-05-19T15:44:39.393871+00:00", + "ended_at": "2026-05-19T15:44:58.167431+00:00", + "elapsed_ms": 18773.53, + "prompt_metrics": { + "chars": 13115, + "bytes_utf8": 13115, + "lines": 399, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1443, + "bytes_utf8": 1443, + "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": 705, + "bytes_utf8": 705, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16270, + "cached_input_tokens": 12032, + "output_tokens": 727, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f706bdcc888c59ca/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f706bdcc888c59ca/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..77ab9b2b36dc8984a57ec3f748eb544045476162 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f706bdcc888c59ca/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,399 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=nom_0, condition_col=ord_1.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "nom_0", + "condition_col": "ord_1", + "condition_value": "Contributor", + "positive_value": "Contributor", + "negative_value": "Grandmaster", + "top_k": 11, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 9.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f706bdcc888c59ca/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f706bdcc888c59ca/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..7e86fd8738b569083f9bce0def993df3f12be320 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f706bdcc888c59ca/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,5 @@ +{"type":"thread.started","thread_id":"019e40e9-1cdc-7aa0-b8ec-ca16dc8fca0e"} +{"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 16905. Please try again in 507ms. 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 \\\"nom_0\\\",\\n SUM(CASE WHEN \\\"ord_1\\\" = 'Contributor' THEN 1 ELSE 0 END) AS \\\"numerator_count\\\",\\n SUM(CASE WHEN \\\"ord_1\\\" = 'Grandmaster' THEN 1 ELSE 0 END) AS \\\"denominator_count\\\"\\n FROM \\\"c15\\\"\\n GROUP BY \\\"nom_0\\\"\\n)\\nSELECT \\\"nom_0\\\",\\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 \\\"nom_0\\\" as the grouping column and the ratio of \\\"ord_1\\\" = 'Contributor' to \\\"ord_1\\\" = 'Grandmaster'; groups with zero denominator yield NULL ratios.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16270,"cached_input_tokens":12032,"output_tokens":727,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f706bdcc888c59ca/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f706bdcc888c59ca/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..eff62f2fbfacf75d4fdac737f7f837506694da83 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f706bdcc888c59ca/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_ratio_two_conditions\nWITH \"grouped\" AS (\n SELECT \"nom_0\",\n SUM(CASE WHEN \"ord_1\" = 'Contributor' THEN 1 ELSE 0 END) AS \"numerator_count\",\n SUM(CASE WHEN \"ord_1\" = 'Grandmaster' THEN 1 ELSE 0 END) AS \"denominator_count\"\n FROM \"c15\"\n GROUP BY \"nom_0\"\n)\nSELECT \"nom_0\",\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 \"nom_0\" as the grouping column and the ratio of \"ord_1\" = 'Contributor' to \"ord_1\" = 'Grandmaster'; groups with zero denominator yield NULL ratios."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f706bdcc888c59ca/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f706bdcc888c59ca/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f86694a9a494227a/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f86694a9a494227a/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..dd3fde4294141650e160568dda0827a8978e9b3e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f86694a9a494227a/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12457, "bytes_utf8": 12457, "lines": 394, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 598, "bytes_utf8": 598, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16107, "cached_input_tokens": 14720, "output_tokens": 538, "reasoning_output_tokens": 366}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f86694a9a494227a/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f86694a9a494227a/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a446b401d3754f519f06624e461fc31181f098b5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f86694a9a494227a/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_f86694a9a494227a", + "api_calls": 0, + "input_tokens": 16107, + "cached_input_tokens": 14720, + "output_tokens": 538, + "total_tokens": 16645, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12408.83, + "sql_execution_elapsed_ms_total": 1233.89, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f86694a9a494227a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f86694a9a494227a/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f86694a9a494227a/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..38b592235666a7d972e1607c43c018d5b2a3dba1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f86694a9a494227a/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": "2026-05-19T15:48:46.893687+00:00", + "ended_at": "2026-05-19T15:48:59.302550+00:00", + "elapsed_ms": 12408.83, + "prompt_metrics": { + "chars": 12457, + "bytes_utf8": 12457, + "lines": 394, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 991, + "bytes_utf8": 991, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 598, + "bytes_utf8": 598, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16107, + "cached_input_tokens": 14720, + "output_tokens": 538, + "reasoning_output_tokens": 366 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f86694a9a494227a/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f86694a9a494227a/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..83d988fc71db4764a2b82725242351525d5bf356 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f86694a9a494227a/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,394 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=month.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "bindings": { + "measure_col": "month", + "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": 9.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f86694a9a494227a/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f86694a9a494227a/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b7c34e77ffccea444994176223c4774357afad8a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f86694a9a494227a/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ec-e3a5-7a51-be8e-94b31a85ca64"} +{"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(\\\"month\\\" AS REAL) AS \\\"month\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"month\\\" AS REAL) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"c15\\\"\\n WHERE \\\"month\\\" IS NOT NULL AND \\\"month\\\" <> ''\\n)\\nSELECT \\\"month\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"month\\\" DESC;\",\"notes\":\"Used the Quantile Tail Slice template with measure_col bound to \\\"month\\\" and num_tiles=10. Cast \\\"month\\\" to REAL because the SQLite schema stores it as TEXT, and filtered empty strings to avoid invalid numeric ordering.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16107,"cached_input_tokens":14720,"output_tokens":538,"reasoning_output_tokens":366}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f86694a9a494227a/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f86694a9a494227a/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..461b75729b610ab3a1afff1ca1607fdaf34821fd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f86694a9a494227a/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_quantile_tail_slice\nWITH \"buckets\" AS (\n SELECT\n CAST(\"month\" AS REAL) AS \"month\",\n NTILE(10) OVER (ORDER BY CAST(\"month\" AS REAL) DESC) AS \"tail_bucket\"\n FROM \"c15\"\n WHERE \"month\" IS NOT NULL AND \"month\" <> ''\n)\nSELECT \"month\"\nFROM \"buckets\"\nWHERE \"tail_bucket\" = 1\nORDER BY \"month\" DESC;","notes":"Used the Quantile Tail Slice template with measure_col bound to \"month\" and num_tiles=10. Cast \"month\" to REAL because the SQLite schema stores it as TEXT, and filtered empty strings to avoid invalid numeric ordering."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f86694a9a494227a/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f86694a9a494227a/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f8828de01eaa404c/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f8828de01eaa404c/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..063aeddf33d2df674013eff23fe10476849abbcf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f8828de01eaa404c/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": "2026-05-19T16:10:05.343041+00:00", + "ended_at": "2026-05-19T16:10:08.529298+00:00", + "elapsed_ms": 3186.23, + "returncode": 1, + "prompt_metrics": { + "chars": 12279, + "bytes_utf8": 12279, + "lines": 394, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f8828de01eaa404c/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f8828de01eaa404c/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..2f93f0b1c5963b68406c2f27dd3b3016f0e381d5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f8828de01eaa404c/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": "2026-05-19T16:10:09.530974+00:00", + "ended_at": "2026-05-19T16:10:12.653730+00:00", + "elapsed_ms": 3122.68, + "returncode": 1, + "prompt_metrics": { + "chars": 12279, + "bytes_utf8": 12279, + "lines": 394, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f8828de01eaa404c/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f8828de01eaa404c/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e5ff17cac02d880c14186c56e6cb38fc8af821c2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f8828de01eaa404c/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,394 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=target.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "target", + "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": 9.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f8828de01eaa404c/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f8828de01eaa404c/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e5ff17cac02d880c14186c56e6cb38fc8af821c2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f8828de01eaa404c/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,394 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=target.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "target", + "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": 9.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f8828de01eaa404c/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f8828de01eaa404c/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..95799a4cd620b37668da8ae1beb810b672738b49 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f8828de01eaa404c/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-65aa-7691-b631-a784f4f2b078"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f8828de01eaa404c/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f8828de01eaa404c/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..fdbcdd4668707b53653e2e68bb8b8f7462eaaca3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f8828de01eaa404c/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-65aa-7691-b631-a784f4f2b078"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f8828de01eaa404c/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f8828de01eaa404c/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..aad98ee8215e98749127ae9a73bc76384ebdf29c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f8828de01eaa404c/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-760e-7a51-93dd-f620ab5d14cc"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f8828de01eaa404c/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f8828de01eaa404c/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..5ae672d473531c48db715949f136e415c434176a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f8828de01eaa404c/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-760e-7a51-93dd-f620ab5d14cc"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f8828de01eaa404c/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f8828de01eaa404c/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f8828de01eaa404c/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f8828de01eaa404c/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f8da20294cab3cee/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f8da20294cab3cee/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..9a2224a218352e97ade6c4e8ef17b9b17deb8b36 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f8da20294cab3cee/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=target, measure_col=day. +Result preview: [{"target": "0", "percentile_measure": 7.0}, {"target": "1", "percentile_measure": 7.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f8da20294cab3cee/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f8da20294cab3cee/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..0e2ae47b5028a616a3a1b4b4ae048cd6c9470f62 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f8da20294cab3cee/generated_sql.sql @@ -0,0 +1,58 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c15 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_concentration_consistency +-- intended_facet_id: rare_target_concentration +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_grouped_percentile_point +-- query_record_id: v2q_c15_f8da20294cab3cee +-- problem_id: v2p_c15_ed94d52005a351f8 +-- realization_mode: agent +-- source_kind: agent +WITH "ordered" AS ( + SELECT + "target", + CAST(NULLIF("day", '') AS REAL) AS "day_value", + ROW_NUMBER() OVER ( + PARTITION BY "target" + ORDER BY CAST(NULLIF("day", '') AS REAL) + ) AS "rn", + COUNT(*) OVER (PARTITION BY "target") AS "cnt" + FROM "c15" + WHERE NULLIF("day", '') IS NOT NULL +), +"positions" AS ( + SELECT + "target", + "day_value", + "rn", + "cnt", + 1.0 + (("cnt" - 1) * 0.9) AS "pos" + FROM "ordered" +), +"picked" AS ( + SELECT + "target", + MAX(CASE WHEN "rn" = CAST("pos" AS INT) THEN "day_value" END) AS "lower_value", + MAX( + CASE + WHEN "rn" = CAST("pos" AS INT) + CASE WHEN "pos" > CAST("pos" AS INT) THEN 1 ELSE 0 END + THEN "day_value" + END + ) AS "upper_value", + MAX("pos") AS "pos", + MAX(CAST("pos" AS INT)) AS "lower_rn", + MAX(CAST("pos" AS INT) + CASE WHEN "pos" > CAST("pos" AS INT) THEN 1 ELSE 0 END) AS "upper_rn" + FROM "positions" + GROUP BY "target" +) +SELECT + "target", + CASE + WHEN "lower_rn" = "upper_rn" THEN "lower_value" + ELSE "lower_value" + (("pos" - "lower_rn") * ("upper_value" - "lower_value")) + END AS "percentile_measure" +FROM "picked" +ORDER BY "percentile_measure" DESC, "target"; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f8da20294cab3cee/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f8da20294cab3cee/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..320267d0c562a45f23ab1e6ba641da3304e6e230 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f8da20294cab3cee/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 2, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_grouped_percentile_point\nWITH \"ordered\" AS (\n SELECT\n \"target\",\n CAST(NULLIF(\"day\", '') AS REAL) AS \"day_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"target\"\n ORDER BY CAST(NULLIF(\"day\", '') AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (PARTITION BY \"target\") AS \"cnt\"\n FROM \"c15\"\n WHERE NULLIF(\"day\", '') IS NOT NULL\n),\n\"positions\" AS (\n SELECT\n \"target\",\n \"day_value\",\n \"rn\",\n \"cnt\",\n 1.0 + ((\"cnt\" - 1) * 0.9) AS \"pos\"\n FROM \"ordered\"\n),\n\"picked\" AS (\n SELECT\n \"target\",\n MAX(CASE WHEN \"rn\" = CAST(\"pos\" AS INT) THEN \"day_value\" END) AS \"lower_value\",\n MAX(\n CASE\n WHEN \"rn\" = CAST(\"pos\" AS INT) + CASE WHEN \"pos\" > CAST(\"pos\" AS INT) THEN 1 ELSE 0 END\n THEN \"day_value\"\n END\n ) AS \"upper_value\",\n MAX(\"pos\") AS \"pos\",\n MAX(CAST(\"pos\" AS INT)) AS \"lower_rn\",\n MAX(CAST(\"pos\" AS INT) + CASE WHEN \"pos\" > CAST(\"pos\" AS INT) THEN 1 ELSE 0 END) AS \"upper_rn\"\n FROM \"positions\"\n GROUP BY \"target\"\n)\nSELECT\n \"target\",\n CASE\n WHEN \"lower_rn\" = \"upper_rn\" THEN \"lower_value\"\n ELSE \"lower_value\" + ((\"pos\" - \"lower_rn\") * (\"upper_value\" - \"lower_value\"))\n END AS \"percentile_measure\"\nFROM \"picked\"\nORDER BY \"percentile_measure\" DESC, \"target\";", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n SELECT\\n \\\"target\\\",\\n CAST(NULLIF(\\\"day\\\", '') AS REAL) AS \\\"day_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"target\\\"\\n ORDER BY CAST(NULLIF(\\\"day\\\", '') AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"target\\\") AS \\\"cnt\\\"\\n FROM \\\"c15\\\"\\n WHERE NULLIF(\\\"day\\\", '') IS NOT NULL\\n),\\n\\\"positions\\\" AS (\\n SELECT\\n \\\"target\\\",\\n \\\"day_value\\\",\\n \\\"rn\\\",\\n \\\"cnt\\\",\\n 1.0 + ((\\\"cnt\\\" - 1) * 0.9) AS \\\"pos\\\"\\n FROM \\\"ordered\\\"\\n),\\n\\\"picked\\\" AS (\\n SELECT\\n \\\"target\\\",\\n MAX(CASE WHEN \\\"rn\\\" = CAST(\\\"pos\\\" AS INT) THEN \\\"day_value\\\" END) AS \\\"lower_value\\\",\\n MAX(\\n CASE\\n WHEN \\\"rn\\\" = CAST(\\\"pos\\\" AS INT) + CASE WHEN \\\"pos\\\" > CAST(\\\"pos\\\" AS INT) THEN 1 ELSE 0 END\\n THEN \\\"day_value\\\"\\n END\\n ) AS \\\"upper_value\\\",\\n MAX(\\\"pos\\\") AS \\\"pos\\\",\\n MAX(CAST(\\\"pos\\\" AS INT)) AS \\\"lower_rn\\\",\\n MAX(CAST(\\\"pos\\\" AS INT) + CASE WHEN \\\"pos\\\" > CAST(\\\"pos\\\" AS INT) THEN 1 ELSE 0 END) AS \\\"upper_rn\\\"\\n FROM \\\"positions\\\"\\n GROUP BY \\\"target\\\"\\n)\\nSELECT\\n \\\"target\\\",\\n CASE\\n WHEN \\\"lower_rn\\\" = \\\"upper_rn\\\" THEN \\\"lower_value\\\"\\n ELSE \\\"lower_value\\\" + ((\\\"pos\\\" - \\\"lower_rn\\\") * (\\\"upper_value\\\" - \\\"lower_value\\\"))\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"picked\\\"\\nORDER BY \\\"percentile_measure\\\" DESC, \\\"target\\\";\", \"columns\": [\"target\", \"percentile_measure\"], \"rows\": [{\"target\": \"0\", \"percentile_measure\": 7.0}, {\"target\": \"1\", \"percentile_measure\": 7.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2039.78}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f8da20294cab3cee/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f8da20294cab3cee/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..92bcd9c65da98f8c8f55ed16b152ab4f88f6bdb7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f8da20294cab3cee/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c15", + "started_at": "2026-05-19T15:59:40.220179+00:00", + "ended_at": "2026-05-19T16:00:25.866291+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c15_f8da20294cab3cee", + "problem_id": "v2p_c15_ed94d52005a351f8", + "dataset_id": "c15", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=target, measure_col=day.", + "bindings": { + "group_col": "target", + "measure_col": "day", + "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": 6.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=1/2", + "binding_index=89" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/sql/v2q_c15_f8da20294cab3cee.sql", + "usage_summary": { + "dataset_id": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_f8da20294cab3cee", + "api_calls": 0, + "input_tokens": 16090, + "cached_input_tokens": 12032, + "output_tokens": 2850, + "total_tokens": 18940, + "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": 42571.6, + "sql_execution_elapsed_ms_total": 2039.78, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f8da20294cab3cee/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f8da20294cab3cee/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f8da20294cab3cee/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a37e3ec2c50834da01f8afde7f7f3e1253c966a2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f8da20294cab3cee/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:59:43.922439+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3671.24, "started_at": "2026-05-19T15:59:40.250402+00:00", "ended_at": "2026-05-19T15:59:43.921670+00:00", "prompt_metrics": {"chars": 12455, "bytes_utf8": 12455, "lines": 396, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f6-dc07-7e30-9915-c75ad92adaa7\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:00:23.824839+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 38900.36, "started_at": "2026-05-19T15:59:44.923468+00:00", "ended_at": "2026-05-19T16:00:23.823868+00:00", "prompt_metrics": {"chars": 12455, "bytes_utf8": 12455, "lines": 396, "estimated_tokens": null}, "response_metrics": {"chars": 1704, "bytes_utf8": 1704, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16090, "cached_input_tokens": 12032, "output_tokens": 2850, "reasoning_output_tokens": 2327}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n SELECT\\n \\\"target\\\",\\n CAST(NULLIF(\\\"day\\\", '') AS REAL) AS \\\"day_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"target\\\"\\n ORDER BY CAST(NULLIF(\\\"day\\\", '') AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"target\\\") AS \\\"cnt\\\"\\n FROM \\\"c15\\\"\\n WHERE NULLIF(\\\"day\\\", '') IS NOT NULL\\n),\\n\\\"positions\\\" AS (\\n SELECT\\n \\\"target\\\",\\n \\\"day_value\\\",\\n \\\"rn\\\",\\n \\\"cnt\\\",\\n 1.0 + ((\\\"cnt\\\" - 1) * 0.9) AS \\\"pos\\\"\\n FROM \\\"ordered\\\"\\n),\\n\\\"picked\\\" AS (\\n SELECT\\n \\\"target\\\",\\n MAX(CASE WHEN \\\"rn\\\" = CAST(\\\"pos\\\" AS INT) THEN \\\"day_value\\\" END) AS \\\"lower_value\\\",\\n MAX(\\n CASE\\n WHEN \\\"rn\\\" = CAST(\\\"pos\\\" AS INT) + CASE WHEN \\\"pos\\\" > CAST(\\\"pos\\\" AS INT) THEN 1 ELSE 0 END\\n THEN \\\"day_value\\\"\\n END\\n ) AS \\\"upper_value\\\",\\n MAX(\\\"pos\\\") AS \\\"pos\\\",\\n MAX(CAST(\\\"pos\\\" AS INT)) AS \\\"lower_rn\\\",\\n MAX(CAST(\\\"pos\\\" AS INT)"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f8da20294cab3cee/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f8da20294cab3cee/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..ea34f68caa3fe4194fdb321bfb956f0499a3e196 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f8da20294cab3cee/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c15", + "model": "v2-cli:codex", + "run_id": "v2q_c15_f8da20294cab3cee", + "api_calls": 0, + "input_tokens": 16090, + "cached_input_tokens": 12032, + "output_tokens": 2850, + "total_tokens": 18940, + "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": 42571.6, + "sql_execution_elapsed_ms_total": 2039.78, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f8da20294cab3cee/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f90a9fa30b979104/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f90a9fa30b979104/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..3800e420f887adc83ce6b42fe433974baa76b79e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f90a9fa30b979104/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"nom_8": "", "support": 17755, "avg_response": 0.2714165023936919}, {"nom_8": "7d7c02c57", "support": 5052, "avg_response": 0.26405384006334126}, {"nom_8": "15f03b1f4", "support": 4994, "avg_response": 0.27292751301561874}, {"nom_8": "5859a8a06", "support": 4989, "avg_response": 0.26678693124874725}, {"nom_8": "d7e75499d", "support": 4987, "avg_response": 0.26629236013635454}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f90a9fa30b979104/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f90a9fa30b979104/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..e72e88f1e3e93571a285151228004c002d1330cc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f90a9fa30b979104/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c15 +-- family_id: cardinality_structure +-- canonical_subitem_id: high_cardinality_response_stability +-- intended_facet_id: target_cardinality_cross_section +-- variant_semantic_role: focused_target_view +-- template_id: tpl_cardinality_high_card_response_stability +-- query_record_id: v2q_c15_f90a9fa30b979104 +-- problem_id: v2p_c15_95a5fd7e13ca1d57 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "nom_8", + COUNT(*) AS support, + AVG("bin_2") AS avg_response +FROM "c15" +GROUP BY "nom_8" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f90a9fa30b979104/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f90a9fa30b979104/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9750510e84a25eaa7489c34e7395375f8d83943a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f90a9fa30b979104/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_b\n-- sql_source_dataset_id: c15\n-- family_id: cardinality_structure\n-- canonical_subitem_id: high_cardinality_response_stability\n-- intended_facet_id: target_cardinality_cross_section\n-- variant_semantic_role: focused_target_view\n-- template_id: tpl_cardinality_high_card_response_stability\n-- query_record_id: v2q_c15_f90a9fa30b979104\n-- problem_id: v2p_c15_95a5fd7e13ca1d57\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"nom_8\",\n COUNT(*) AS support,\n AVG(\"bin_2\") AS avg_response\nFROM \"c15\"\nGROUP BY \"nom_8\"\nHAVING COUNT(*) >= 5.0\nORDER BY support DESC, avg_response DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_b\\n-- sql_source_dataset_id: c15\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: high_cardinality_response_stability\\n-- intended_facet_id: target_cardinality_cross_section\\n-- variant_semantic_role: focused_target_view\\n-- template_id: tpl_cardinality_high_card_response_stability\\n-- query_record_id: v2q_c15_f90a9fa30b979104\\n-- problem_id: v2p_c15_95a5fd7e13ca1d57\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"nom_8\\\",\\n COUNT(*) AS support,\\n AVG(\\\"bin_2\\\") AS avg_response\\nFROM \\\"c15\\\"\\nGROUP BY \\\"nom_8\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"nom_8\", \"support\", \"avg_response\"], \"rows\": [{\"nom_8\": \"\", \"support\": 17755, \"avg_response\": 0.2714165023936919}, {\"nom_8\": \"7d7c02c57\", \"support\": 5052, \"avg_response\": 0.26405384006334126}, {\"nom_8\": \"15f03b1f4\", \"support\": 4994, \"avg_response\": 0.27292751301561874}, {\"nom_8\": \"5859a8a06\", \"support\": 4989, \"avg_response\": 0.26678693124874725}, {\"nom_8\": \"d7e75499d\", \"support\": 4987, \"avg_response\": 0.26629236013635454}, {\"nom_8\": \"158183c63\", \"support\": 4966, \"avg_response\": 0.2708417237213049}, {\"nom_8\": \"484c96b82\", \"support\": 4960, \"avg_response\": 0.27056451612903226}, {\"nom_8\": \"587840371\", \"support\": 4948, \"avg_response\": 0.2613177041228779}, {\"nom_8\": \"ef752c107\", \"support\": 4937, \"avg_response\": 0.272230099250557}, {\"nom_8\": \"d1c6bb70d\", \"support\": 4906, \"avg_response\": 0.26396249490419893}, {\"nom_8\": \"964a66013\", \"support\": 4869, \"avg_response\": 0.279318135140686}, {\"nom_8\": \"5bdcf7324\", \"support\": 4863, \"avg_response\": 0.2628007402837754}, {\"nom_8\": \"fe070240a\", \"support\": 4833, \"avg_response\": 0.2679495137595696}, {\"nom_8\": \"1ce5cf721\", \"support\": 4804, \"avg_response\": 0.28559533721898417}, {\"nom_8\": \"ad5be5be4\", \"support\": 4786, \"avg_response\": 0.2722524028416214}, {\"nom_8\": \"777ce63ea\", \"support\": 4780, \"avg_response\": 0.26673640167364016}, {\"nom_8\": \"d48e8b7af\", \"support\": 4765, \"avg_response\": 0.2803777544596013}, {\"nom_8\": \"60c7c84ee\", \"support\": 4747, \"avg_response\": 0.2599536549399621}, {\"nom_8\": \"abce980f5\", \"support\": 4713, \"avg_response\": 0.2743475493316359}, {\"nom_8\": \"9789d425f\", \"support\": 4689, \"avg_response\": 0.2689272766048198}, {\"nom_8\": \"23dc2e63d\", \"support\": 4660, \"avg_response\": 0.26995708154506437}, {\"nom_8\": \"fa49d4e04\", \"support\": 4648, \"avg_response\": 0.2715146299483649}, {\"nom_8\": \"45121db5e\", \"support\": 4640, \"avg_response\": 0.26163793103448274}, {\"nom_8\": \"8dc88fa15\", \"support\": 4623, \"avg_response\": 0.26108587497296126}, {\"nom_8\": \"de6d6e3d8\", \"support\": 4619, \"avg_response\": 0.2584975102836112}, {\"nom_8\": \"75a957c6d\", \"support\": 4603, \"avg_response\": 0.2704757766673908}, {\"nom_8\": \"690411ac0\", \"support\": 4602, \"avg_response\": 0.26944806605823557}, {\"nom_8\": \"cf30695f0\", \"support\": 4580, \"avg_response\": 0.2617903930131004}, {\"nom_8\": \"bccfd92a2\", \"support\": 4534, \"avg_response\": 0.2657697397441553}, {\"nom_8\": \"d8bad19d0\", \"support\": 4499, \"avg_response\": 0.27695043342965103}, {\"nom_8\": \"573c92006\", \"support\": 4424, \"avg_response\": 0.2741862567811935}, {\"nom_8\": \"b279e09c3\", \"support\": 4367, \"avg_response\": 0.2706663613464621}, {\"nom_8\": \"af22df36a\", \"support\": 4302, \"avg_response\": 0.2710367271036727}, {\"nom_8\": \"745b909d1\", \"support\": 4293, \"avg_response\": 0.2720708129513161}, {\"nom_8\": \"5a3040de6\", \"support\": 4288, \"avg_response\": 0.277285447761194}, {\"nom_8\": \"5a7ade619\", \"support\": 4282, \"avg_response\": 0.27113498365249883}, {\"nom_8\": \"ca9ad1d4b\", \"support\": 4240, \"avg_response\": 0.2648584905660377}, {\"nom_8\": \"46a005ddf\", \"support\": 4223, \"avg_response\": 0.27444944352356143}, {\"nom_8\": \"e40c451d4\", \"support\": 4223, \"avg_response\": 0.2671086905043808}, {\"nom_8\": \"28c042258\", \"support\": 4171, \"avg_response\": 0.27283625029968833}, {\"nom_8\": \"28869f8aa\", \"support\": 4164, \"avg_response\": 0.2723342939481268}, {\"nom_8\": \"7861df0a8\", \"support\": 4149, \"avg_response\": 0.2786213545432634}, {\"nom_8\": \"f41dce3cc\", \"support\": 4140, \"avg_response\": 0.26859903381642514}, {\"nom_8\": \"6d3db6c57\", \"support\": 4102, \"avg_response\": 0.2745002437835202}, {\"nom_8\": \"3d70f650d\", \"support\": 4055, \"avg_response\": 0.27546239210850804}, {\"nom_8\": \"f7b3f1d13\", \"support\": 4034, \"avg_response\": 0.2771442736737729}, {\"nom_8\": \"060a21580\", \"support\": 4032, \"avg_response\": 0.263640873015873}, {\"nom_8\": \"7c77c52f3\", \"support\": 4016, \"avg_response\": 0.2711653386454183}, {\"nom_8\": \"63dde2492\", \"support\": 3994, \"avg_response\": 0.27466199298948424}, {\"nom_8\": \"a408ea8d6\", \"support\": 3992, \"avg_response\": 0.2665330661322645}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 406.12}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f90a9fa30b979104/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f90a9fa30b979104/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..89f417a3e95551d026bef1eebbf58c2f60474dc8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f90a9fa30b979104/run_manifest.json @@ -0,0 +1,60 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c15", + "started_at": "2026-05-19T16:13:19.589688+00:00", + "ended_at": "2026-05-19T16:13:19.999326+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c15_f90a9fa30b979104", + "problem_id": "v2p_c15_95a5fd7e13ca1d57", + "dataset_id": "c15", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=bin_2, key_col=nom_8.", + "bindings": { + "key_col": "nom_8", + "measure_col": "bin_2", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=8", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/sql/v2q_c15_f90a9fa30b979104.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f90a9fa30b979104/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f90a9fa30b979104/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f90a9fa30b979104/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f96d7590a9ef612d/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f96d7590a9ef612d/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..e60d83cf81ddacb3749b8b23e9a839bfe9f998bb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f96d7590a9ef612d/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "Freezing", "support": 142726, "support_share": 0.23787666666666665, "support_rank": 1}, {"value_label": "Warm", "support": 124239, "support_share": 0.207065, "support_rank": 2}, {"value_label": "Cold", "support": 97822, "support_share": 0.16303666666666666, "support_rank": 3}, {"value_label": "Boiling Hot", "support": 84790, "support_share": 0.14131666666666667, "support_rank": 4}, {"value_label": "Hot", "support": 67508, "support_share": 0.11251333333333334, "support_rank": 5}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f96d7590a9ef612d/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f96d7590a9ef612d/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..d64cce58ccf3d3fb9971b4a08332a444437a4b8f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f96d7590a9ef612d/generated_sql.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c15 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: support_concentration +-- variant_semantic_role: count_distribution +-- template_id: tpl_cardinality_support_rank_profile +-- query_record_id: v2q_c15_f96d7590a9ef612d +-- problem_id: v2p_c15_1b479d70f1b96e0b +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "ord_2" AS value_label, COUNT(*) AS support + FROM "c15" + GROUP BY "ord_2" +) +SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank +FROM grouped +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f96d7590a9ef612d/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f96d7590a9ef612d/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0106295ea3d61c860b988ed5ff971503fab712ab --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f96d7590a9ef612d/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_b\n-- sql_source_dataset_id: c15\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: support_concentration\n-- variant_semantic_role: count_distribution\n-- template_id: tpl_cardinality_support_rank_profile\n-- query_record_id: v2q_c15_f96d7590a9ef612d\n-- problem_id: v2p_c15_1b479d70f1b96e0b\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"ord_2\" AS value_label, COUNT(*) AS support\n FROM \"c15\"\n GROUP BY \"ord_2\"\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_b\\n-- sql_source_dataset_id: c15\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: support_concentration\\n-- variant_semantic_role: count_distribution\\n-- template_id: tpl_cardinality_support_rank_profile\\n-- query_record_id: v2q_c15_f96d7590a9ef612d\\n-- problem_id: v2p_c15_1b479d70f1b96e0b\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"ord_2\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"c15\\\"\\n GROUP BY \\\"ord_2\\\"\\n)\\nSELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\\nFROM grouped\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"support_rank\"], \"rows\": [{\"value_label\": \"Freezing\", \"support\": 142726, \"support_share\": 0.23787666666666665, \"support_rank\": 1}, {\"value_label\": \"Warm\", \"support\": 124239, \"support_share\": 0.207065, \"support_rank\": 2}, {\"value_label\": \"Cold\", \"support\": 97822, \"support_share\": 0.16303666666666666, \"support_rank\": 3}, {\"value_label\": \"Boiling Hot\", \"support\": 84790, \"support_share\": 0.14131666666666667, \"support_rank\": 4}, {\"value_label\": \"Hot\", \"support\": 67508, \"support_share\": 0.11251333333333334, \"support_rank\": 5}, {\"value_label\": \"Lava Hot\", \"support\": 64840, \"support_share\": 0.10806666666666667, \"support_rank\": 6}, {\"value_label\": \"\", \"support\": 18075, \"support_share\": 0.030125, \"support_rank\": 7}], \"row_count_returned\": 7, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 316.55}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f96d7590a9ef612d/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f96d7590a9ef612d/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..f3ba978dae424d35c76a5b18c3f07ae0fdf636eb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f96d7590a9ef612d/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c15", + "started_at": "2026-05-19T16:13:15.314132+00:00", + "ended_at": "2026-05-19T16:13:15.631997+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c15_f96d7590a9ef612d", + "problem_id": "v2p_c15_1b479d70f1b96e0b", + "dataset_id": "c15", + "template_id": "tpl_cardinality_support_rank_profile", + "template_name": "Cardinality Support Rank Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "support_concentration", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=ord_2.", + "bindings": { + "group_col": "ord_2" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=9", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/sql/v2q_c15_f96d7590a9ef612d.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f96d7590a9ef612d/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f96d7590a9ef612d/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f96d7590a9ef612d/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_fb2784a27a82e3c1/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_fb2784a27a82e3c1/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..f01a2fe850c9bf279c4251a9c89a20423df8b61f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_fb2784a27a82e3c1/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "Freezing", "support": 142726, "support_share": 0.23787666666666665, "cumulative_support": 142726}, {"value_label": "Warm", "support": 124239, "support_share": 0.207065, "cumulative_support": 266965}, {"value_label": "Cold", "support": 97822, "support_share": 0.16303666666666666, "cumulative_support": 364787}, {"value_label": "Boiling Hot", "support": 84790, "support_share": 0.14131666666666667, "cumulative_support": 449577}, {"value_label": "Hot", "support": 67508, "support_share": 0.11251333333333334, "cumulative_support": 517085}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_fb2784a27a82e3c1/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_fb2784a27a82e3c1/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..561acb175da8c537c8162e2b4616412c1652a744 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_fb2784a27a82e3c1/generated_sql.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c15 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: support_concentration +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_cardinality_distinct_share_profile +-- query_record_id: v2q_c15_fb2784a27a82e3c1 +-- problem_id: v2p_c15_3e9459f08c46d584 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "ord_2" AS value_label, COUNT(*) AS support + FROM "c15" + GROUP BY "ord_2" +), ranked AS ( + SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support + FROM grouped +) +SELECT * +FROM ranked +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_fb2784a27a82e3c1/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_fb2784a27a82e3c1/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a2efaeac1e151f5aa8c661b14519f4852ef1a4bd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_fb2784a27a82e3c1/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_b\n-- sql_source_dataset_id: c15\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: support_concentration\n-- variant_semantic_role: ranked_signal_view\n-- template_id: tpl_cardinality_distinct_share_profile\n-- query_record_id: v2q_c15_fb2784a27a82e3c1\n-- problem_id: v2p_c15_3e9459f08c46d584\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"ord_2\" AS value_label, COUNT(*) AS support\n FROM \"c15\"\n GROUP BY \"ord_2\"\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_b\\n-- sql_source_dataset_id: c15\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: support_concentration\\n-- variant_semantic_role: ranked_signal_view\\n-- template_id: tpl_cardinality_distinct_share_profile\\n-- query_record_id: v2q_c15_fb2784a27a82e3c1\\n-- problem_id: v2p_c15_3e9459f08c46d584\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"ord_2\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"c15\\\"\\n GROUP BY \\\"ord_2\\\"\\n), ranked AS (\\n SELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\\n FROM grouped\\n)\\nSELECT *\\nFROM ranked\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"cumulative_support\"], \"rows\": [{\"value_label\": \"Freezing\", \"support\": 142726, \"support_share\": 0.23787666666666665, \"cumulative_support\": 142726}, {\"value_label\": \"Warm\", \"support\": 124239, \"support_share\": 0.207065, \"cumulative_support\": 266965}, {\"value_label\": \"Cold\", \"support\": 97822, \"support_share\": 0.16303666666666666, \"cumulative_support\": 364787}, {\"value_label\": \"Boiling Hot\", \"support\": 84790, \"support_share\": 0.14131666666666667, \"cumulative_support\": 449577}, {\"value_label\": \"Hot\", \"support\": 67508, \"support_share\": 0.11251333333333334, \"cumulative_support\": 517085}, {\"value_label\": \"Lava Hot\", \"support\": 64840, \"support_share\": 0.10806666666666667, \"cumulative_support\": 581925}, {\"value_label\": \"\", \"support\": 18075, \"support_share\": 0.030125, \"cumulative_support\": 600000}], \"row_count_returned\": 7, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 286.95}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_fb2784a27a82e3c1/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_fb2784a27a82e3c1/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..582a976254f8a54aeba6935484bf99d04b5846e0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_fb2784a27a82e3c1/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c15", + "started_at": "2026-05-19T16:13:11.844247+00:00", + "ended_at": "2026-05-19T16:13:12.132390+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c15_fb2784a27a82e3c1", + "problem_id": "v2p_c15_3e9459f08c46d584", + "dataset_id": "c15", + "template_id": "tpl_cardinality_distinct_share_profile", + "template_name": "Cardinality Distinct Share Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "support_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Distinct Share Profile to probe support_rank_profile_consistency with semantic role ranked_signal_view. Focus on group_col=ord_2.", + "bindings": { + "group_col": "ord_2" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=9", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/sql/v2q_c15_fb2784a27a82e3c1.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_fb2784a27a82e3c1/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_fb2784a27a82e3c1/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_fb2784a27a82e3c1/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ffe434c6bc2930f8/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ffe434c6bc2930f8/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e8d7d5f47594afcd1a6cb501a9279e006125247c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ffe434c6bc2930f8/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": "2026-05-19T16:08:30.002835+00:00", + "ended_at": "2026-05-19T16:08:33.083240+00:00", + "elapsed_ms": 3080.37, + "returncode": 1, + "prompt_metrics": { + "chars": 12223, + "bytes_utf8": 12223, + "lines": 394, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ffe434c6bc2930f8/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ffe434c6bc2930f8/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e2fdbd01f99bcbca765a7cd647d9bccdaf868963 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ffe434c6bc2930f8/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": "2026-05-19T16:08:34.084839+00:00", + "ended_at": "2026-05-19T16:08:37.326889+00:00", + "elapsed_ms": 3242.01, + "returncode": 1, + "prompt_metrics": { + "chars": 12223, + "bytes_utf8": 12223, + "lines": 394, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ffe434c6bc2930f8/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ffe434c6bc2930f8/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..729f51461c96bd84d067eef0ee22940c0dbfcbc6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ffe434c6bc2930f8/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,394 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=bin_2.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "bin_2", + "top_k": 10, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.75, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ffe434c6bc2930f8/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ffe434c6bc2930f8/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..729f51461c96bd84d067eef0ee22940c0dbfcbc6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ffe434c6bc2930f8/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,394 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c15 +- dataset_name: Cat In The Dat Ii +- table_name: c15 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 600000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 0. +- bin_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 1. +- bin_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7', 'bin_0', 'bin_1', 'bin_2'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat-ii + +SQLite schema snapshot: +{ + "table_name": "c15", + "quoted_table_name": "\"c15\"", + "row_count": 600000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0.0", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Bassoon", + "nom_5": "de4c57ee2", + "nom_6": "a64bc7ddf", + "nom_7": "598080a91", + "nom_8": "0256c7a4b", + "nom_9": "02e7c8990", + "ord_0": "3.0", + "ord_1": "Contributor", + "ord_2": "Hot", + "ord_3": "c", + "ord_4": "U", + "ord_5": "Pw", + "day": "6.0", + "month": "3.0", + "target": "0" + }, + { + "id": "1", + "bin_0": "1.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Star", + "nom_2": "Axolotl", + "nom_3": "", + "nom_4": "Theremin", + "nom_5": "2bb3c3e5c", + "nom_6": "3a3a936e8", + "nom_7": "1dddb8473", + "nom_8": "52ead350c", + "nom_9": "f37df64af", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Warm", + "ord_3": "e", + "ord_4": "X", + "ord_5": "pE", + "day": "7.0", + "month": "7.0", + "target": "0" + }, + { + "id": "2", + "bin_0": "0.0", + "bin_1": "1.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "", + "nom_2": "Hamster", + "nom_3": "Canada", + "nom_4": "Bassoon", + "nom_5": "b574c9841", + "nom_6": "708248125", + "nom_7": "5ddc9a726", + "nom_8": "745b909d1", + "nom_9": "", + "ord_0": "3.0", + "ord_1": "", + "ord_2": "Freezing", + "ord_3": "n", + "ord_4": "P", + "ord_5": "eN", + "day": "5.0", + "month": "9.0", + "target": "0" + }, + { + "id": "3", + "bin_0": "", + "bin_1": "0.0", + "bin_2": "0.0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Circle", + "nom_2": "Hamster", + "nom_3": "Finland", + "nom_4": "Theremin", + "nom_5": "673bdf1f6", + "nom_6": "23edb8da3", + "nom_7": "3a33ef960", + "nom_8": "bdaa56dd1", + "nom_9": "f9d456e57", + "ord_0": "1.0", + "ord_1": "Novice", + "ord_2": "Lava Hot", + "ord_3": "a", + "ord_4": "C", + "ord_5": "", + "day": "3.0", + "month": "3.0", + "target": "0" + }, + { + "id": "4", + "bin_0": "0.0", + "bin_1": "", + "bin_2": "0.0", + "bin_3": "T", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Triangle", + "nom_2": "Hamster", + "nom_3": "Costa Rica", + "nom_4": "", + "nom_5": "777d1ac2c", + "nom_6": "3a7975e46", + "nom_7": "bc9cc2a94", + "nom_8": "", + "nom_9": "c5361037c", + "ord_0": "3.0", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "C", + "ord_5": "OZ", + "day": "5.0", + "month": "12.0", + "target": "0" + } + ] +} + +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": "c15", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=bin_2.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "bin_2", + "top_k": 10, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.75, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ffe434c6bc2930f8/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ffe434c6bc2930f8/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..205ecf6f3fa4e0ecf5496ce3987af8bc3bc5568f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ffe434c6bc2930f8/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-f138-79b2-9424-7cb95bea07af"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ffe434c6bc2930f8/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ffe434c6bc2930f8/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..badbe1ca1021da0d83b19fee9b65d9a9123b39d4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ffe434c6bc2930f8/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-f138-79b2-9424-7cb95bea07af"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ffe434c6bc2930f8/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ffe434c6bc2930f8/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..3ae50337f12922f8c59769f849ad915d6638edb8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ffe434c6bc2930f8/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-0140-7fa2-8afc-987394b87bd1"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ffe434c6bc2930f8/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ffe434c6bc2930f8/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..9394236e18436c7df63c905ce6d39d1959be6d67 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ffe434c6bc2930f8/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-0140-7fa2-8afc-987394b87bd1"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ffe434c6bc2930f8/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ffe434c6bc2930f8/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ffe434c6bc2930f8/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ffe434c6bc2930f8/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391