diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_047e3a987f760c35/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_047e3a987f760c35/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2f6f647fc4c9d8265371152eaa73bdd6542b7d45 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_047e3a987f760c35/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12684, "bytes_utf8": 12684, "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": 760, "bytes_utf8": 760, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16175, "cached_input_tokens": 12032, "output_tokens": 1230, "reasoning_output_tokens": 978}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_047e3a987f760c35/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_047e3a987f760c35/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..ebe57f06cead659e75f7e74462593c50b3ac2322 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_047e3a987f760c35/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_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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_047e3a987f760c35/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6fbb7088b4d92ab5a28e2712006eba293059c70c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_047e3a987f760c35/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": "2026-05-19T15:38:14.258880+00:00", + "ended_at": "2026-05-19T15:38:35.046918+00:00", + "elapsed_ms": 20788.01, + "prompt_metrics": { + "chars": 12684, + "bytes_utf8": 12684, + "lines": 398, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1188, + "bytes_utf8": 1188, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_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 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_047e3a987f760c35/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_047e3a987f760c35/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c11d3bac227c1d416b7038361b63606e64e04915 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_047e3a987f760c35/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_0, measure_col=id.", + "planned_template_id": "tpl_tpcds_within_group_share", + "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 + }, + "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_047e3a987f760c35/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_047e3a987f760c35/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..9cbfe563327d77dfb7fe010b45bf95ca72e1a32d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_047e3a987f760c35/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e3-3c70-70d3-aab0-00d639e5eefd"} +{"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_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.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16175,"cached_input_tokens":12032,"output_tokens":1230,"reasoning_output_tokens":978}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_047e3a987f760c35/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_047e3a987f760c35/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a411dc9d4a93a0b02a86c623579441641f695d44 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_047e3a987f760c35/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"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."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_047e3a987f760c35/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_047e3a987f760c35/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_1293c5e4aae53d22/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1293c5e4aae53d22/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..97c91357dcbbdb4b04c0f3897104533992eb26f9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1293c5e4aae53d22/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:08:03.518019+00:00", + "ended_at": "2026-05-19T16:08:06.938032+00:00", + "elapsed_ms": 3419.94, + "returncode": 1, + "prompt_metrics": { + "chars": 12222, + "bytes_utf8": 12222, + "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_1293c5e4aae53d22/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1293c5e4aae53d22/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f23f0598d3b04241d97f00a3b4cf4446868b5edd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1293c5e4aae53d22/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:08:07.940428+00:00", + "ended_at": "2026-05-19T16:08:11.027887+00:00", + "elapsed_ms": 3087.41, + "returncode": 1, + "prompt_metrics": { + "chars": 12222, + "bytes_utf8": 12222, + "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_1293c5e4aae53d22/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1293c5e4aae53d22/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ae073c9f65bb105be39972c821f6423782f9cc3a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1293c5e4aae53d22/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=id.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "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 + }, + "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_1293c5e4aae53d22/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1293c5e4aae53d22/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..ae073c9f65bb105be39972c821f6423782f9cc3a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1293c5e4aae53d22/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=id.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "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 + }, + "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_1293c5e4aae53d22/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1293c5e4aae53d22/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..caf8f5d2fd2b28de613dbe91de09128d45bd1840 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1293c5e4aae53d22/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-89ad-7ae0-bd2f-9b28aa2b35f2"} +{"type":"turn.started"} +{"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_1293c5e4aae53d22/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1293c5e4aae53d22/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e4747d422b3573f3537bcfef2fb1ecaabf3a728e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1293c5e4aae53d22/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-89ad-7ae0-bd2f-9b28aa2b35f2"} +{"type":"turn.started"} +{"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_1293c5e4aae53d22/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1293c5e4aae53d22/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..204131caf7679a2b8f293ed8967be5849ef79a9c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1293c5e4aae53d22/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-9b1d-78e1-b482-af4ec00e1e82"} +{"type":"turn.started"} +{"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_1293c5e4aae53d22/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1293c5e4aae53d22/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..b2589c2de2cfebeee0fabf0e33e107919e613e08 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1293c5e4aae53d22/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-9b1d-78e1-b482-af4ec00e1e82"} +{"type":"turn.started"} +{"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_1293c5e4aae53d22/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1293c5e4aae53d22/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_1293c5e4aae53d22/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1293c5e4aae53d22/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_1344c21725fcec52/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1344c21725fcec52/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..04372528b832a82bc53016e1c8061712db5059ab --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1344c21725fcec52/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12454, "bytes_utf8": 12454, "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": 12454, "bytes_utf8": 12454, "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": 853, "bytes_utf8": 853, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16094, "cached_input_tokens": 12032, "output_tokens": 1276, "reasoning_output_tokens": 1008}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1344c21725fcec52/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1344c21725fcec52/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..273e3e8c484b7f264c0d4ead05f1fe0ca5b82984 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1344c21725fcec52/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_1344c21725fcec52", + "api_calls": 0, + "input_tokens": 16094, + "cached_input_tokens": 12032, + "output_tokens": 1276, + "total_tokens": 17370, + "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": 27021.57, + "sql_execution_elapsed_ms_total": 1459.67, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1344c21725fcec52/cli/conversation.jsonl", + "note": "Executed through a local 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_1344c21725fcec52/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1344c21725fcec52/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a01d3f52691c34d943e0f7e78df47cf7687a01e6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1344c21725fcec52/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": "2026-05-19T15:58:28.552978+00:00", + "ended_at": "2026-05-19T15:58:31.578869+00:00", + "elapsed_ms": 3025.86, + "returncode": 1, + "prompt_metrics": { + "chars": 12454, + "bytes_utf8": 12454, + "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_1344c21725fcec52/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1344c21725fcec52/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..080f4c5b482d0b0276cfa933beae5a105b3900c8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1344c21725fcec52/cli/sql_attempt_2.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:58:32.581025+00:00", + "ended_at": "2026-05-19T15:58:56.576781+00:00", + "elapsed_ms": 23995.71, + "prompt_metrics": { + "chars": 12454, + "bytes_utf8": 12454, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1318, + "bytes_utf8": 1318, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 853, + "bytes_utf8": 853, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16094, + "cached_input_tokens": 12032, + "output_tokens": 1276, + "reasoning_output_tokens": 1008 + } + }, + "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_1344c21725fcec52/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1344c21725fcec52/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..24f2c7830865977e413f3408123a13ac53b31c8e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1344c21725fcec52/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=day, measure_col=bin_2.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "day", + "measure_col": "bin_2", + "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 {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_1344c21725fcec52/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1344c21725fcec52/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..24f2c7830865977e413f3408123a13ac53b31c8e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1344c21725fcec52/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=day, measure_col=bin_2.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "day", + "measure_col": "bin_2", + "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 {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_1344c21725fcec52/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1344c21725fcec52/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..26e355584cc4f95d01d01941026471ca12f1c4b8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1344c21725fcec52/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f5-c3f5-7751-97ef-06d8d945a469"} +{"type":"turn.started"} +{"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_1344c21725fcec52/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1344c21725fcec52/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a0492e813297557afe16ba9dd06f5cac1aa080ab --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1344c21725fcec52/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f5-c3f5-7751-97ef-06d8d945a469"} +{"type":"turn.started"} +{"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_1344c21725fcec52/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1344c21725fcec52/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c5b93ef0cc2ae10211ff1b795e4568c63dd2e88a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1344c21725fcec52/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f5-d3ab-72e1-90c7-0bb450fe1e1c"} +{"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 \\\"day\\\",\\n CAST(\\\"bin_2\\\" AS REAL) AS \\\"measure_value\\\"\\n FROM \\\"c15\\\"\\n WHERE \\\"day\\\" IS NOT NULL\\n AND \\\"day\\\" <> ''\\n AND \\\"bin_2\\\" IS NOT NULL\\n AND \\\"bin_2\\\" <> ''\\n),\\n\\\"ranked\\\" AS (\\n SELECT\\n \\\"day\\\",\\n \\\"measure_value\\\",\\n ROW_NUMBER() OVER (PARTITION BY \\\"day\\\" ORDER BY \\\"measure_value\\\") AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"day\\\") AS \\\"cnt\\\"\\n FROM \\\"base\\\"\\n)\\nSELECT\\n \\\"day\\\",\\n MIN(\\\"measure_value\\\") AS \\\"percentile_measure\\\"\\nFROM \\\"ranked\\\"\\nWHERE 10 * \\\"rn\\\" >= 9 * \\\"cnt\\\"\\nGROUP BY \\\"day\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this uses a nearest-rank 90th percentile approximation per \\\"day\\\" over CAST(\\\"bin_2\\\" AS REAL), excluding blank values.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16094,"cached_input_tokens":12032,"output_tokens":1276,"reasoning_output_tokens":1008}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1344c21725fcec52/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1344c21725fcec52/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..349f5c3c10ffed8760931a0255503ecd448b9eb6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1344c21725fcec52/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"base\" AS (\n SELECT\n \"day\",\n CAST(\"bin_2\" AS REAL) AS \"measure_value\"\n FROM \"c15\"\n WHERE \"day\" IS NOT NULL\n AND \"day\" <> ''\n AND \"bin_2\" IS NOT NULL\n AND \"bin_2\" <> ''\n),\n\"ranked\" AS (\n SELECT\n \"day\",\n \"measure_value\",\n ROW_NUMBER() OVER (PARTITION BY \"day\" ORDER BY \"measure_value\") AS \"rn\",\n COUNT(*) OVER (PARTITION BY \"day\") AS \"cnt\"\n FROM \"base\"\n)\nSELECT\n \"day\",\n MIN(\"measure_value\") AS \"percentile_measure\"\nFROM \"ranked\"\nWHERE 10 * \"rn\" >= 9 * \"cnt\"\nGROUP BY \"day\"\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite does not support PERCENTILE_CONT, so this uses a nearest-rank 90th percentile approximation per \"day\" over CAST(\"bin_2\" AS REAL), excluding blank values."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1344c21725fcec52/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1344c21725fcec52/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_1344c21725fcec52/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1344c21725fcec52/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_14c04f1e69d9fab0/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_14c04f1e69d9fab0/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..af115be8dcbe05019f5a7e3beecf06370a65c2f4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_14c04f1e69d9fab0/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12192, "bytes_utf8": 12192, "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": 261, "bytes_utf8": 261, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16027, "cached_input_tokens": 12032, "output_tokens": 302, "reasoning_output_tokens": 225}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_14c04f1e69d9fab0/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_14c04f1e69d9fab0/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..59688c90f0bf7f4b388993081c0cea0bc03824a5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_14c04f1e69d9fab0/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_14c04f1e69d9fab0", + "api_calls": 0, + "input_tokens": 16027, + "cached_input_tokens": 12032, + "output_tokens": 302, + "total_tokens": 16329, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15834.21, + "sql_execution_elapsed_ms_total": 323.38, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_14c04f1e69d9fab0/cli/conversation.jsonl", + "note": "Executed through a local 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_14c04f1e69d9fab0/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_14c04f1e69d9fab0/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6fe55b867cc6136102a5e8baf85f617d92079704 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_14c04f1e69d9fab0/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": "2026-05-19T15:33:25.148856+00:00", + "ended_at": "2026-05-19T15:33:40.983093+00:00", + "elapsed_ms": 15834.21, + "prompt_metrics": { + "chars": 12192, + "bytes_utf8": 12192, + "lines": 394, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 619, + "bytes_utf8": 619, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 261, + "bytes_utf8": 261, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16027, + "cached_input_tokens": 12032, + "output_tokens": 302, + "reasoning_output_tokens": 225 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_14c04f1e69d9fab0/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_14c04f1e69d9fab0/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5398cbfa5fd8f36810a09e5fea98c1d50212bd37 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_14c04f1e69d9fab0/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=day.", + "planned_template_id": "tpl_clickbench_group_count", + "bindings": { + "group_col": "day", + "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 {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_14c04f1e69d9fab0/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_14c04f1e69d9fab0/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..0e8278e912a99b58298ebe3e576889f3435f5a11 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_14c04f1e69d9fab0/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40de-d31b-76c0-b5b3-cf9ff4275d10"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"day\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"c15\\\"\\nGROUP BY \\\"day\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Applies the provided grouped-count template with group_col bound to \\\"day\\\" on table \\\"c15\\\".\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16027,"cached_input_tokens":12032,"output_tokens":302,"reasoning_output_tokens":225}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_14c04f1e69d9fab0/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_14c04f1e69d9fab0/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..640bf053b4d02af7583dbdb67df88aec406bc41c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_14c04f1e69d9fab0/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_clickbench_group_count\nSELECT \"day\", COUNT(*) AS \"row_count\"\nFROM \"c15\"\nGROUP BY \"day\"\nORDER BY \"row_count\" DESC;","notes":"Applies the provided grouped-count template with group_col bound to \"day\" on table \"c15\"."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_14c04f1e69d9fab0/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_14c04f1e69d9fab0/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_15b69bb9f5548e5a/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_15b69bb9f5548e5a/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2df2dcb74aa311855c23820cd029e2c7a430ed39 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_15b69bb9f5548e5a/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12686, "bytes_utf8": 12686, "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": 620, "bytes_utf8": 620, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16176, "cached_input_tokens": 14720, "output_tokens": 982, "reasoning_output_tokens": 785}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_15b69bb9f5548e5a/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_15b69bb9f5548e5a/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..7f4d2b4a625a85e14744f2c8859e5a37cbad697d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_15b69bb9f5548e5a/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_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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_15b69bb9f5548e5a/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f05488fcaf02114d5bd1ac970f49eb546440b595 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_15b69bb9f5548e5a/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:37:54.759201+00:00", + "ended_at": "2026-05-19T15:38:13.544407+00:00", + "elapsed_ms": 18785.17, + "prompt_metrics": { + "chars": 12686, + "bytes_utf8": 12686, + "lines": 398, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1011, + "bytes_utf8": 1011, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 620, + "bytes_utf8": 620, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16176, + "cached_input_tokens": 14720, + "output_tokens": 982, + "reasoning_output_tokens": 785 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_15b69bb9f5548e5a/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_15b69bb9f5548e5a/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..af5a335dae33ba9b4ebfc57b67f8aa15907baf1e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_15b69bb9f5548e5a/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_0, measure_col=id.", + "planned_template_id": "tpl_tpcds_within_group_share", + "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 + }, + "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_15b69bb9f5548e5a/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_15b69bb9f5548e5a/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..fa3d2e6b291636da654fb86a6bb5efdf549ea3ea --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_15b69bb9f5548e5a/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e2-f059-7fb1-ba85-b34d0fc27b69"} +{"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_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.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16176,"cached_input_tokens":14720,"output_tokens":982,"reasoning_output_tokens":785}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_15b69bb9f5548e5a/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_15b69bb9f5548e5a/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0697b07d9934a6f802c32bbe55b550ffca8cb849 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_15b69bb9f5548e5a/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"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."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_15b69bb9f5548e5a/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_15b69bb9f5548e5a/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_167252a6e44b53c8/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_167252a6e44b53c8/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..bd8860118404e04a19a559d8eb3f44882f740fb3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_167252a6e44b53c8/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 13100, "bytes_utf8": 13100, "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": 610, "bytes_utf8": 610, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16269, "cached_input_tokens": 14720, "output_tokens": 465, "reasoning_output_tokens": 286}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_167252a6e44b53c8/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_167252a6e44b53c8/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..64b26f658904a3dc815c8b4a406971a7fcefdf1c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_167252a6e44b53c8/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_167252a6e44b53c8", + "api_calls": 0, + "input_tokens": 16269, + "cached_input_tokens": 14720, + "output_tokens": 465, + "total_tokens": 16734, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12118.85, + "sql_execution_elapsed_ms_total": 325.68, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_167252a6e44b53c8/cli/conversation.jsonl", + "note": "Executed through a local 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_167252a6e44b53c8/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_167252a6e44b53c8/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7061b753a23705b9f1116bec2cd8ae5963a53732 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_167252a6e44b53c8/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": "2026-05-19T15:43:30.447692+00:00", + "ended_at": "2026-05-19T15:43:42.566566+00:00", + "elapsed_ms": 12118.85, + "prompt_metrics": { + "chars": 13100, + "bytes_utf8": 13100, + "lines": 399, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 979, + "bytes_utf8": 979, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 610, + "bytes_utf8": 610, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16269, + "cached_input_tokens": 14720, + "output_tokens": 465, + "reasoning_output_tokens": 286 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_167252a6e44b53c8/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_167252a6e44b53c8/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1be959217e13db8730f757a4ca2d560fed56529a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_167252a6e44b53c8/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_0, condition_col=nom_1.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "bin_0", + "condition_col": "nom_1", + "condition_value": "Star", + "positive_value": "Star", + "negative_value": "Triangle", + "top_k": 11, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.75, + "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_167252a6e44b53c8/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_167252a6e44b53c8/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..331c2bdfa1377cc432247e4783bd8cfbb08ae861 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_167252a6e44b53c8/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e8-0faa-7691-b153-95521350090c"} +{"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_0\\\",\\n SUM(CASE WHEN \\\"nom_1\\\" = 'Star' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"nom_1\\\" = 'Triangle' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"c15\\\"\\n GROUP BY \\\"bin_0\\\"\\n)\\nSELECT \\\"bin_0\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Uses the required grouped ratio template with group_col=\\\"bin_0\\\" and condition_col=\\\"nom_1\\\", comparing 'Star' to 'Triangle'.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16269,"cached_input_tokens":14720,"output_tokens":465,"reasoning_output_tokens":286}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_167252a6e44b53c8/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_167252a6e44b53c8/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..933b4a0381b0ae0f2a746be6c6863b10627fe768 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_167252a6e44b53c8/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT \"bin_0\",\n SUM(CASE WHEN \"nom_1\" = 'Star' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"nom_1\" = 'Triangle' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"c15\"\n GROUP BY \"bin_0\"\n)\nSELECT \"bin_0\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;","notes":"Uses the required grouped ratio template with group_col=\"bin_0\" and condition_col=\"nom_1\", comparing 'Star' to 'Triangle'."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_167252a6e44b53c8/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_167252a6e44b53c8/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_1675b00c319e92a6/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1675b00c319e92a6/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..dcee37bfeb034abb66870d34857d0f65f336bdb4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1675b00c319e92a6/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": 494, "bytes_utf8": 494, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16156, "cached_input_tokens": 14720, "output_tokens": 535, "reasoning_output_tokens": 389}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1675b00c319e92a6/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1675b00c319e92a6/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..05afd555cf847846151ce014d1748bda8bf1c19e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1675b00c319e92a6/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_1675b00c319e92a6", + "api_calls": 0, + "input_tokens": 16156, + "cached_input_tokens": 14720, + "output_tokens": 535, + "total_tokens": 16691, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14290.86, + "sql_execution_elapsed_ms_total": 236.7, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1675b00c319e92a6/cli/conversation.jsonl", + "note": "Executed through a local 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_1675b00c319e92a6/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1675b00c319e92a6/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a4305c43181c53ce413b477314016231cf1f3e97 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1675b00c319e92a6/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": "2026-05-19T15:47:22.156402+00:00", + "ended_at": "2026-05-19T15:47:36.447329+00:00", + "elapsed_ms": 14290.86, + "prompt_metrics": { + "chars": 12587, + "bytes_utf8": 12587, + "lines": 400, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 869, + "bytes_utf8": 869, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 494, + "bytes_utf8": 494, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16156, + "cached_input_tokens": 14720, + "output_tokens": 535, + "reasoning_output_tokens": 389 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_1675b00c319e92a6/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1675b00c319e92a6/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9651c6bbd33b85950d4b67c19e138ed44955760f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1675b00c319e92a6/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_4.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "bin_3", + "group_col_2": "nom_4", + "predicate_col": "bin_2", + "predicate_op": ">=", + "predicate_value": 0.75, + "top_k": 13, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2.5, + "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}, {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_1675b00c319e92a6/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1675b00c319e92a6/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..3cf6ca5bf9de2888c16b409738bc23d8e82b2fb5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1675b00c319e92a6/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40eb-995b-7871-9950-7728737f5a09"} +{"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_4\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"c15\\\"\\nWHERE CAST(NULLIF(\\\"bin_2\\\", '') AS REAL) >= 0.75\\nGROUP BY \\\"bin_3\\\", \\\"nom_4\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Applied the planned filtered two-dimensional group count template with \\\"bin_3\\\" and \\\"nom_4\\\" as grouping columns. Because \\\"bin_2\\\" is stored as TEXT in SQLite, the predicate casts non-empty values to REAL and ignores empty strings via NULLIF.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16156,"cached_input_tokens":14720,"output_tokens":535,"reasoning_output_tokens":389}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1675b00c319e92a6/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1675b00c319e92a6/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b1d4b947feeb4ec0eb85e7e3396e0d92435bdd39 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1675b00c319e92a6/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"bin_3\", \"nom_4\", COUNT(*) AS \"row_count\"\nFROM \"c15\"\nWHERE CAST(NULLIF(\"bin_2\", '') AS REAL) >= 0.75\nGROUP BY \"bin_3\", \"nom_4\"\nORDER BY \"row_count\" DESC;","notes":"Applied the planned filtered two-dimensional group count template with \"bin_3\" and \"nom_4\" as grouping columns. Because \"bin_2\" is stored as TEXT in SQLite, the predicate casts non-empty values to REAL and ignores empty strings via NULLIF."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1675b00c319e92a6/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1675b00c319e92a6/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_1a4305eaefb9fd3c/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1a4305eaefb9fd3c/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..2b8aa0324bb9badb78f23b3289015e8b59ce9799 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1a4305eaefb9fd3c/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": "2026-05-19T16:10:59.046068+00:00", + "ended_at": "2026-05-19T16:11:02.151798+00:00", + "elapsed_ms": 3105.7, + "returncode": 1, + "prompt_metrics": { + "chars": 12360, + "bytes_utf8": 12360, + "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_1a4305eaefb9fd3c/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1a4305eaefb9fd3c/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a95e39fb6c0360e803fbc897c34d3781d0116c82 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1a4305eaefb9fd3c/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": "2026-05-19T16:11:03.154660+00:00", + "ended_at": "2026-05-19T16:11:06.016905+00:00", + "elapsed_ms": 2862.2, + "returncode": 1, + "prompt_metrics": { + "chars": 12360, + "bytes_utf8": 12360, + "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_1a4305eaefb9fd3c/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1a4305eaefb9fd3c/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e071bc274d4cd1c9fe929db5404587b5f03032cd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1a4305eaefb9fd3c/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=nom_2, measure_col=id.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "nom_2", + "measure_col": "id", + "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": 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 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_1a4305eaefb9fd3c/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1a4305eaefb9fd3c/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e071bc274d4cd1c9fe929db5404587b5f03032cd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1a4305eaefb9fd3c/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=nom_2, measure_col=id.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "nom_2", + "measure_col": "id", + "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": 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 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_1a4305eaefb9fd3c/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1a4305eaefb9fd3c/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..46ac308a73e30f35773efd594cd5100ce348a32d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1a4305eaefb9fd3c/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-3774-7d43-a507-91efb78cf0d4"} +{"type":"turn.started"} +{"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_1a4305eaefb9fd3c/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1a4305eaefb9fd3c/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..66a541388ef6f1ffddb45003fff139512b38bf04 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1a4305eaefb9fd3c/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-3774-7d43-a507-91efb78cf0d4"} +{"type":"turn.started"} +{"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_1a4305eaefb9fd3c/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1a4305eaefb9fd3c/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..d7e73aa0f53c8aa37e91a9cd811e4efd69320437 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1a4305eaefb9fd3c/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-478a-7a41-ad58-fbe60ca4c771"} +{"type":"turn.started"} +{"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_1a4305eaefb9fd3c/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1a4305eaefb9fd3c/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..5f6cb3f0897b286df795faf393b07735b178e244 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1a4305eaefb9fd3c/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-478a-7a41-ad58-fbe60ca4c771"} +{"type":"turn.started"} +{"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_1a4305eaefb9fd3c/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1a4305eaefb9fd3c/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_1a4305eaefb9fd3c/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1a4305eaefb9fd3c/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_1ad8c724046aefea/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1ad8c724046aefea/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..9b119f247cbfc72939d8bf529216ba8430461fe7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1ad8c724046aefea/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": "2026-05-19T16:04:25.821623+00:00", + "ended_at": "2026-05-19T16:04:29.208278+00:00", + "elapsed_ms": 3386.63, + "returncode": 1, + "prompt_metrics": { + "chars": 12543, + "bytes_utf8": 12543, + "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_1ad8c724046aefea/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1ad8c724046aefea/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..436298cf12b97006863989532df36a63eee07491 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1ad8c724046aefea/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:04:30.209894+00:00", + "ended_at": "2026-05-19T16:04:33.497930+00:00", + "elapsed_ms": 3288.0, + "returncode": 1, + "prompt_metrics": { + "chars": 12543, + "bytes_utf8": 12543, + "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_1ad8c724046aefea/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1ad8c724046aefea/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e5e7137e4463f112e4b993a05df3cf2e08523523 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1ad8c724046aefea/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_1, condition_col=nom_1.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "nom_1", + "condition_col": "nom_1", + "condition_value": "Star", + "positive_value": "Star", + "negative_value": "Triangle", + "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": 6.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n 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_1ad8c724046aefea/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1ad8c724046aefea/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e5e7137e4463f112e4b993a05df3cf2e08523523 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1ad8c724046aefea/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_1, condition_col=nom_1.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "nom_1", + "condition_col": "nom_1", + "condition_value": "Star", + "positive_value": "Star", + "negative_value": "Triangle", + "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": 6.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n 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_1ad8c724046aefea/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1ad8c724046aefea/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..01aab938470ea5fab00471c789a6efbefa615d2c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1ad8c724046aefea/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-3775-72b3-a0f8-c4df2299e7cb"} +{"type":"turn.started"} +{"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_1ad8c724046aefea/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1ad8c724046aefea/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9e0252b804ee5a2a3390558cd6d3cd1f7310d1b6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1ad8c724046aefea/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-3775-72b3-a0f8-c4df2299e7cb"} +{"type":"turn.started"} +{"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_1ad8c724046aefea/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1ad8c724046aefea/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..2675ca2b1caa8b789ab26daf656e35afb97826a1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1ad8c724046aefea/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-48a7-75c3-a7d1-96322a8f6383"} +{"type":"turn.started"} +{"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_1ad8c724046aefea/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1ad8c724046aefea/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..59560a8fb242b8cf10da2bf1994226432a0d51d0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1ad8c724046aefea/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-48a7-75c3-a7d1-96322a8f6383"} +{"type":"turn.started"} +{"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_1ad8c724046aefea/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1ad8c724046aefea/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_1ad8c724046aefea/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_1ad8c724046aefea/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_22152fcd2e31f597/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_22152fcd2e31f597/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2bbfc49fea734693fe79a3e282754c9627432bab --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_22152fcd2e31f597/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12279, "bytes_utf8": 12279, "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": 334, "bytes_utf8": 334, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16056, "cached_input_tokens": 12288, "output_tokens": 323, "reasoning_output_tokens": 222}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_22152fcd2e31f597/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_22152fcd2e31f597/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..00b82f8301fcff581e6d0c9a77a637af46fedd3c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_22152fcd2e31f597/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_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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_22152fcd2e31f597/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..de7968bcb651a7d11a2684f4a7840ca4c62c51c8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_22152fcd2e31f597/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": "2026-05-19T15:28:18.003935+00:00", + "ended_at": "2026-05-19T15:28:27.564185+00:00", + "elapsed_ms": 9560.22, + "prompt_metrics": { + "chars": 12279, + "bytes_utf8": 12279, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 692, + "bytes_utf8": 692, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_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 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_22152fcd2e31f597/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_22152fcd2e31f597/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..422bfdd48688219325554a11ea5b0ba513f7ae54 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_22152fcd2e31f597/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_0, measure_col=id.", + "planned_template_id": "tpl_h2o_group_sum", + "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 + }, + "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_22152fcd2e31f597/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_22152fcd2e31f597/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6f59966bbd1ef829c7f521a47e4b81d8d91bbec8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_22152fcd2e31f597/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40da-234c-7eb3-af14-12b2b7d2ce65"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"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.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16056,"cached_input_tokens":12288,"output_tokens":323,"reasoning_output_tokens":222}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_22152fcd2e31f597/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_22152fcd2e31f597/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ce65ae1ba030189655860445a9b7ac7bc9ab835b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_22152fcd2e31f597/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"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."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_22152fcd2e31f597/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_22152fcd2e31f597/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_22aaa20bf5f6f95b/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_22aaa20bf5f6f95b/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..cbd414acead9895de13b33763dc56f6b00de5888 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_22aaa20bf5f6f95b/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12588, "bytes_utf8": 12588, "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": 444, "bytes_utf8": 444, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16156, "cached_input_tokens": 14720, "output_tokens": 484, "reasoning_output_tokens": 337}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_22aaa20bf5f6f95b/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_22aaa20bf5f6f95b/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..e796f7f4d0f41b34a688e735a750619dfd68f38a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_22aaa20bf5f6f95b/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_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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_22aaa20bf5f6f95b/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..8e49736ed7210632819802626981e3aa3f4e1e9e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_22aaa20bf5f6f95b/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": "2026-05-19T15:46:53.285987+00:00", + "ended_at": "2026-05-19T15:47:07.031481+00:00", + "elapsed_ms": 13745.43, + "prompt_metrics": { + "chars": 12588, + "bytes_utf8": 12588, + "lines": 400, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 826, + "bytes_utf8": 826, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_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 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_22aaa20bf5f6f95b/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_22aaa20bf5f6f95b/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..89ddcf107fbf847fedb4eeb2296d8a5fba709283 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_22aaa20bf5f6f95b/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_2.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "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 + }, + "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_22aaa20bf5f6f95b/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_22aaa20bf5f6f95b/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ef26ae02a33d9535f944513d236b7ad9aa658a7b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_22aaa20bf5f6f95b/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40eb-2855-7861-bd94-983f3e245d2a"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"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.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16156,"cached_input_tokens":14720,"output_tokens":484,"reasoning_output_tokens":337}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_22aaa20bf5f6f95b/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_22aaa20bf5f6f95b/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b007235e739a3483655af17c20fd688255d0198f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_22aaa20bf5f6f95b/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"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."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_22aaa20bf5f6f95b/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_22aaa20bf5f6f95b/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_232d06c76ddf4928/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_232d06c76ddf4928/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5b35cb86ad4ced1895b92b3ae8d3fbf8acc0e3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_232d06c76ddf4928/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": "2026-05-19T16:07:49.212181+00:00", + "ended_at": "2026-05-19T16:07:52.513496+00:00", + "elapsed_ms": 3301.29, + "returncode": 1, + "prompt_metrics": { + "chars": 12219, + "bytes_utf8": 12219, + "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_232d06c76ddf4928/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_232d06c76ddf4928/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c2d319cdfef7b041307799488acfbec89a038a5e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_232d06c76ddf4928/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": "2026-05-19T16:07:53.515157+00:00", + "ended_at": "2026-05-19T16:07:56.431848+00:00", + "elapsed_ms": 2916.66, + "returncode": 1, + "prompt_metrics": { + "chars": 12219, + "bytes_utf8": 12219, + "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_232d06c76ddf4928/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_232d06c76ddf4928/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6eb1f3166d5b27a93ae3e586c3e60740c99aab5e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_232d06c76ddf4928/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=day.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "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 + }, + "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_232d06c76ddf4928/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_232d06c76ddf4928/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..6eb1f3166d5b27a93ae3e586c3e60740c99aab5e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_232d06c76ddf4928/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=day.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "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 + }, + "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_232d06c76ddf4928/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_232d06c76ddf4928/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b50f0f1ac04a270e9df63f8c792dcd7f35a8d30d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_232d06c76ddf4928/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-51d9-7b61-930e-3f8447b66e5a"} +{"type":"turn.started"} +{"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_232d06c76ddf4928/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_232d06c76ddf4928/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f4b7b37029e8b144536302685fa98ce4aadc09d5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_232d06c76ddf4928/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-51d9-7b61-930e-3f8447b66e5a"} +{"type":"turn.started"} +{"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_232d06c76ddf4928/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_232d06c76ddf4928/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..8d9e9e9a72075df01b7cd2337e2da5953b40ac24 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_232d06c76ddf4928/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-62a3-78e1-bbf7-cbcfe4c2e61f"} +{"type":"turn.started"} +{"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_232d06c76ddf4928/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_232d06c76ddf4928/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..7a19856133d3495a551ae068672d68cd8f6979ff --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_232d06c76ddf4928/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-62a3-78e1-bbf7-cbcfe4c2e61f"} +{"type":"turn.started"} +{"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_232d06c76ddf4928/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_232d06c76ddf4928/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_232d06c76ddf4928/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_232d06c76ddf4928/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_29079ac98fbb9379/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_29079ac98fbb9379/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e0bd7a947f73df09b5ec5e47eba1e939b745c404 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_29079ac98fbb9379/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": "2026-05-19T16:05:58.268478+00:00", + "ended_at": "2026-05-19T16:06:03.151057+00:00", + "elapsed_ms": 4882.54, + "returncode": 1, + "prompt_metrics": { + "chars": 12547, + "bytes_utf8": 12547, + "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_29079ac98fbb9379/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_29079ac98fbb9379/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d38621562df0acf135c3b6753f5aedcc5cb71acc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_29079ac98fbb9379/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": "2026-05-19T16:06:04.152909+00:00", + "ended_at": "2026-05-19T16:06:07.377657+00:00", + "elapsed_ms": 3224.72, + "returncode": 1, + "prompt_metrics": { + "chars": 12547, + "bytes_utf8": 12547, + "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_29079ac98fbb9379/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_29079ac98fbb9379/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b15e8fed49a80cbd0c0d71e03af95e3d7c749c69 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_29079ac98fbb9379/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 focused_target_view. Focus on group_col=ord_1, condition_col=ord_1.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "ord_1", + "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": 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_29079ac98fbb9379/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_29079ac98fbb9379/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..b15e8fed49a80cbd0c0d71e03af95e3d7c749c69 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_29079ac98fbb9379/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 focused_target_view. Focus on group_col=ord_1, condition_col=ord_1.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "ord_1", + "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": 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_29079ac98fbb9379/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_29079ac98fbb9379/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..78251ff2dcdd0012e9d9da217737908d496e8b7c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_29079ac98fbb9379/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-a084-72a3-b37b-db812005130b"} +{"type":"turn.started"} +{"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_29079ac98fbb9379/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_29079ac98fbb9379/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9cf6503cbd7f6d13ece926b1a73e69df9cfb88ec --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_29079ac98fbb9379/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-a084-72a3-b37b-db812005130b"} +{"type":"turn.started"} +{"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_29079ac98fbb9379/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_29079ac98fbb9379/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..09a1a4aeea11ea54e865b74379d8fe3256d7ad7b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_29079ac98fbb9379/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-b77f-77b3-a440-edddab40e8b9"} +{"type":"turn.started"} +{"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_29079ac98fbb9379/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_29079ac98fbb9379/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..39a0de7e087ae9f8af9ecab9cc4cf3cb48b0698f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_29079ac98fbb9379/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-b77f-77b3-a440-edddab40e8b9"} +{"type":"turn.started"} +{"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_29079ac98fbb9379/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_29079ac98fbb9379/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_29079ac98fbb9379/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_29079ac98fbb9379/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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_2fa62883de09aff4/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..3fc57bc0e5e28a804fbcf998a5e1733b120880b7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_2fa62883de09aff4/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:06:21.172182+00:00", + "ended_at": "2026-05-19T16:06:24.589303+00:00", + "elapsed_ms": 3417.09, + "returncode": 1, + "prompt_metrics": { + "chars": 12546, + "bytes_utf8": 12546, + "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_2fa62883de09aff4/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_2fa62883de09aff4/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..637cc9ccfa7bdbbc77f63c54dac84c6be6137bba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_2fa62883de09aff4/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:06:25.591690+00:00", + "ended_at": "2026-05-19T16:06:28.539967+00:00", + "elapsed_ms": 2948.23, + "returncode": 1, + "prompt_metrics": { + "chars": 12546, + "bytes_utf8": 12546, + "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_2fa62883de09aff4/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_2fa62883de09aff4/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..500701f79d5a98c9397c078d1024736896ed14b6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_2fa62883de09aff4/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_2, condition_col=ord_2.", + "planned_template_id": "tpl_m4_group_condition_rate", + "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 + }, + "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_2fa62883de09aff4/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_2fa62883de09aff4/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..aa59d89d8b1bed7adea374c8c33c0603ca678cb0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_2fa62883de09aff4/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-f9f7-74c2-9cfd-19ab652d630f"} +{"type":"turn.started"} +{"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_2fa62883de09aff4/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_2fa62883de09aff4/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..dce52f1d890e89843b716fe531ef554dcbc23572 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_2fa62883de09aff4/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-0b69-73d1-8cd0-8eb4c071dc5a"} +{"type":"turn.started"} +{"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_2fa62883de09aff4/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_2fa62883de09aff4/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..6fceead4eb28e3ebce72bc8a4a2aade3fbe47998 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_2fa62883de09aff4/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-0b69-73d1-8cd0-8eb4c071dc5a"} +{"type":"turn.started"} +{"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_2fa62883de09aff4/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_2fa62883de09aff4/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_2fa62883de09aff4/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_2fa62883de09aff4/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_362e902432a4f128/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_362e902432a4f128/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ae20c855307862c4dedbdd68ee35ddb15fe25569 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_362e902432a4f128/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12835, "bytes_utf8": 12835, "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": 12835, "bytes_utf8": 12835, "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": 689, "bytes_utf8": 689, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16196, "cached_input_tokens": 15744, "output_tokens": 553, "reasoning_output_tokens": 362}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_362e902432a4f128/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_362e902432a4f128/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..d55f586a1558554475490e175cb4f5ae490112b3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_362e902432a4f128/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_362e902432a4f128", + "api_calls": 0, + "input_tokens": 16196, + "cached_input_tokens": 15744, + "output_tokens": 553, + "total_tokens": 16749, + "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": 14806.91, + "sql_execution_elapsed_ms_total": 344.1, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_362e902432a4f128/cli/conversation.jsonl", + "note": "Executed through a local 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_362e902432a4f128/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_362e902432a4f128/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ba0fcef021d190374783de4cf43e27bb9de5eb85 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_362e902432a4f128/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": "2026-05-19T15:54:35.534548+00:00", + "ended_at": "2026-05-19T15:54:38.632029+00:00", + "elapsed_ms": 3097.4, + "returncode": 1, + "prompt_metrics": { + "chars": 12835, + "bytes_utf8": 12835, + "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_362e902432a4f128/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_362e902432a4f128/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1ae20b07f0eb49b672ddd9a30882c4abd60fa477 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_362e902432a4f128/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": "2026-05-19T15:54:39.634698+00:00", + "ended_at": "2026-05-19T15:54:51.344254+00:00", + "elapsed_ms": 11709.51, + "prompt_metrics": { + "chars": 12835, + "bytes_utf8": 12835, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1060, + "bytes_utf8": 1060, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 689, + "bytes_utf8": 689, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16196, + "cached_input_tokens": 15744, + "output_tokens": 553, + "reasoning_output_tokens": 362 + } + }, + "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_362e902432a4f128/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_362e902432a4f128/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ba95cfc26cfd99154b39bfdc6d47bda555e39bf8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_362e902432a4f128/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_3, measure_col=bin_2.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "nom_3", + "measure_col": "bin_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": "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_362e902432a4f128/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_362e902432a4f128/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..ba95cfc26cfd99154b39bfdc6d47bda555e39bf8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_362e902432a4f128/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_3, measure_col=bin_2.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "nom_3", + "measure_col": "bin_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": "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_362e902432a4f128/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_362e902432a4f128/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..db3b2f53cf1c591d35454fc0b699d698cacce1a0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_362e902432a4f128/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f2-35b4-7be3-93ec-d03c85d370a6"} +{"type":"turn.started"} +{"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_362e902432a4f128/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_362e902432a4f128/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..cd39b6e60641a1753ba2fa0e3a9b627c46736dfe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_362e902432a4f128/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f2-35b4-7be3-93ec-d03c85d370a6"} +{"type":"turn.started"} +{"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_362e902432a4f128/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_362e902432a4f128/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ec00d753d80a6e96886b3b090205e20ebe2a054c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_362e902432a4f128/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f2-45b7-7a91-be4a-eca308429691"} +{"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_3\\\", SUM(CAST(NULLIF(\\\"bin_2\\\", '') AS REAL)) AS group_value\\n FROM \\\"c15\\\"\\n GROUP BY \\\"nom_3\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"nom_3\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\",\"notes\":\"Applied the provided relative-to-total threshold template with group_col=\\\"nom_3\\\" and measure_col=\\\"bin_2\\\". Used CAST(NULLIF(\\\"bin_2\\\", '') AS REAL) so text-encoded numeric values aggregate correctly and empty strings do not contribute to the sum.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16196,"cached_input_tokens":15744,"output_tokens":553,"reasoning_output_tokens":362}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_362e902432a4f128/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_362e902432a4f128/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..74b635ba6d734dc786ed3cebc6af9faa6b2a7089 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_362e902432a4f128/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"nom_3\", SUM(CAST(NULLIF(\"bin_2\", '') AS REAL)) AS group_value\n FROM \"c15\"\n GROUP BY \"nom_3\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"nom_3\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.1\nORDER BY g.group_value DESC;","notes":"Applied the provided relative-to-total threshold template with group_col=\"nom_3\" and measure_col=\"bin_2\". Used CAST(NULLIF(\"bin_2\", '') AS REAL) so text-encoded numeric values aggregate correctly and empty strings do not contribute to the sum."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_362e902432a4f128/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_362e902432a4f128/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_362e902432a4f128/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_362e902432a4f128/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/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3a3d8dc4f280acd4/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8fa97587ff83d33e5db4f94a812f4cc29f8f79ee --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3a3d8dc4f280acd4/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": 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": 683, "bytes_utf8": 683, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16111, "cached_input_tokens": 14720, "output_tokens": 993, "reasoning_output_tokens": 791}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3a3d8dc4f280acd4/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3a3d8dc4f280acd4/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..ed6698d955e7bd2b886d135a0beeb43e2c926d7d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3a3d8dc4f280acd4/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_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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3a3d8dc4f280acd4/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c7fbe8a928ab0ca1b2ef84656084e4796db7a600 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3a3d8dc4f280acd4/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": "2026-05-19T15:49:15.502881+00:00", + "ended_at": "2026-05-19T15:49:36.421905+00:00", + "elapsed_ms": 20918.99, + "prompt_metrics": { + "chars": 12458, + "bytes_utf8": 12458, + "lines": 394, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1077, + "bytes_utf8": 1077, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 683, + "bytes_utf8": 683, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16111, + "cached_input_tokens": 14720, + "output_tokens": 993, + "reasoning_output_tokens": 791 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_3a3d8dc4f280acd4/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3a3d8dc4f280acd4/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f193bc749101b541e3633e712d0663b9cf559a11 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3a3d8dc4f280acd4/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_0.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "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 + }, + "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_3a3d8dc4f280acd4/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3a3d8dc4f280acd4/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f3988c38180966271c227a817dc42ccc171fb472 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3a3d8dc4f280acd4/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ed-5385-7082-a74a-0c316053e124"} +{"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 \\\"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.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16111,"cached_input_tokens":14720,"output_tokens":993,"reasoning_output_tokens":791}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3a3d8dc4f280acd4/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3a3d8dc4f280acd4/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6119cc27d54d02fbef215f2a8d67fdfdf410d8a7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3a3d8dc4f280acd4/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"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."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3a3d8dc4f280acd4/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3a3d8dc4f280acd4/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_3c6fceb22067cd90/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3c6fceb22067cd90/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a4ffef790c68ec08788bac1202b55e43820a09f7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3c6fceb22067cd90/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12680, "bytes_utf8": 12680, "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": 773, "bytes_utf8": 773, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16177, "cached_input_tokens": 15744, "output_tokens": 1425, "reasoning_output_tokens": 1179}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3c6fceb22067cd90/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3c6fceb22067cd90/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..cd2d7b97bc0a7941f168ce4f94fd99aa37015c64 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3c6fceb22067cd90/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_3c6fceb22067cd90", + "api_calls": 0, + "input_tokens": 16177, + "cached_input_tokens": 15744, + "output_tokens": 1425, + "total_tokens": 17602, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 23901.69, + "sql_execution_elapsed_ms_total": 1885.78, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3c6fceb22067cd90/cli/conversation.jsonl", + "note": "Executed through a local 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_3c6fceb22067cd90/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3c6fceb22067cd90/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f9906260aab30c112a8fe66dd5e86a72fa4324f8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3c6fceb22067cd90/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:40:15.414683+00:00", + "ended_at": "2026-05-19T15:40:39.316400+00:00", + "elapsed_ms": 23901.69, + "prompt_metrics": { + "chars": 12680, + "bytes_utf8": 12680, + "lines": 398, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1201, + "bytes_utf8": 1201, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 773, + "bytes_utf8": 773, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16177, + "cached_input_tokens": 15744, + "output_tokens": 1425, + "reasoning_output_tokens": 1179 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_3c6fceb22067cd90/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3c6fceb22067cd90/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6f93d78fb34348ea7f679d015908c4ae241894d8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3c6fceb22067cd90/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_3, measure_col=bin_2.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "ord_3", + "measure_col": "bin_2", + "item_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": 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_3c6fceb22067cd90/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3c6fceb22067cd90/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..06594aad61f8c0dcd0b7069154f83f2fd395df0d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3c6fceb22067cd90/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e5-15c7-7b10-943d-09c637c18d28"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nWITH \\\"group_item\\\" AS (\\n SELECT\\n \\\"ord_3\\\",\\n \\\"id\\\",\\n SUM(COALESCE(CAST(NULLIF(\\\"bin_2\\\", '') AS REAL), 0.0)) AS \\\"total_measure\\\"\\n FROM \\\"c15\\\"\\n GROUP BY \\\"ord_3\\\", \\\"id\\\"\\n)\\nSELECT\\n \\\"ord_3\\\",\\n \\\"id\\\",\\n \\\"total_measure\\\",\\n \\\"total_measure\\\" * 100.0 / SUM(\\\"total_measure\\\") OVER (PARTITION BY \\\"ord_3\\\") AS \\\"share_within_group\\\"\\nFROM \\\"group_item\\\"\\nORDER BY \\\"share_within_group\\\" DESC\\nLIMIT 11;\",\"notes\":\"Applied the Within-Group Share of Total template with group_col=\\\"ord_3\\\", item_col=\\\"id\\\", and measure_col=\\\"bin_2\\\". Because \\\"bin_2\\\" is stored as TEXT, non-empty values are cast to REAL and empty strings are treated as 0.0. Limited to the top 11 rows by within-group share.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16177,"cached_input_tokens":15744,"output_tokens":1425,"reasoning_output_tokens":1179}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3c6fceb22067cd90/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3c6fceb22067cd90/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5f51cad1645cbe87b1140ebac58c43ae007737b4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3c6fceb22067cd90/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nWITH \"group_item\" AS (\n SELECT\n \"ord_3\",\n \"id\",\n SUM(COALESCE(CAST(NULLIF(\"bin_2\", '') AS REAL), 0.0)) AS \"total_measure\"\n FROM \"c15\"\n GROUP BY \"ord_3\", \"id\"\n)\nSELECT\n \"ord_3\",\n \"id\",\n \"total_measure\",\n \"total_measure\" * 100.0 / SUM(\"total_measure\") OVER (PARTITION BY \"ord_3\") AS \"share_within_group\"\nFROM \"group_item\"\nORDER BY \"share_within_group\" DESC\nLIMIT 11;","notes":"Applied the Within-Group Share of Total template with group_col=\"ord_3\", item_col=\"id\", and measure_col=\"bin_2\". Because \"bin_2\" is stored as TEXT, non-empty values are cast to REAL and empty strings are treated as 0.0. Limited to the top 11 rows by within-group share."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3c6fceb22067cd90/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3c6fceb22067cd90/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_3e55d1ce6daa1b47/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3e55d1ce6daa1b47/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7e426b1d947a246a50f22ae4fab5b3395a52f331 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3e55d1ce6daa1b47/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": "2026-05-19T16:11:29.536306+00:00", + "ended_at": "2026-05-19T16:11:34.470227+00:00", + "elapsed_ms": 4933.89, + "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_3e55d1ce6daa1b47/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3e55d1ce6daa1b47/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b96197641fa471bff6c8e7d4f2ba6f8242c4c1db --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3e55d1ce6daa1b47/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": "2026-05-19T16:11:35.472413+00:00", + "ended_at": "2026-05-19T16:11:38.405981+00:00", + "elapsed_ms": 2933.53, + "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_3e55d1ce6daa1b47/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3e55d1ce6daa1b47/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..bb50f991fffd2549942bec39329f70ca41c4c080 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3e55d1ce6daa1b47/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=nom_4, measure_col=bin_1.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "nom_4", + "measure_col": "bin_1", + "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 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_3e55d1ce6daa1b47/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3e55d1ce6daa1b47/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..bb50f991fffd2549942bec39329f70ca41c4c080 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3e55d1ce6daa1b47/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=nom_4, measure_col=bin_1.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "nom_4", + "measure_col": "bin_1", + "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 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_3e55d1ce6daa1b47/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3e55d1ce6daa1b47/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e17eb7fdd14fcaadc92d4a2f416f65c1dcc3eb76 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3e55d1ce6daa1b47/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-ae7c-7cb0-b47d-3522f94ffaa5"} +{"type":"turn.started"} +{"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_3e55d1ce6daa1b47/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3e55d1ce6daa1b47/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f1c722652614809bed7b337ff4ebc9a2d4053217 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3e55d1ce6daa1b47/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-ae7c-7cb0-b47d-3522f94ffaa5"} +{"type":"turn.started"} +{"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_3e55d1ce6daa1b47/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3e55d1ce6daa1b47/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..d9c79fa985097cd35a31e8662b3c4e1e0ce357e8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3e55d1ce6daa1b47/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-c5cb-7d80-b809-192bdf0a09af"} +{"type":"turn.started"} +{"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_3e55d1ce6daa1b47/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3e55d1ce6daa1b47/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..2eb0bb4085569dfdae779c70486e134e5b7bfc02 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3e55d1ce6daa1b47/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-c5cb-7d80-b809-192bdf0a09af"} +{"type":"turn.started"} +{"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_3e55d1ce6daa1b47/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3e55d1ce6daa1b47/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_3e55d1ce6daa1b47/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_3e55d1ce6daa1b47/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_403ea36c031cf590/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_403ea36c031cf590/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6459ab5b83c10c6cd86c3d94bc99fbf8170131ec --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_403ea36c031cf590/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12532, "bytes_utf8": 12532, "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": 12532, "bytes_utf8": 12532, "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": 414, "bytes_utf8": 414, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16118, "cached_input_tokens": 12032, "output_tokens": 440, "reasoning_output_tokens": 322}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_403ea36c031cf590/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_403ea36c031cf590/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..53f149813a7000592a93469517d0f936893c541e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_403ea36c031cf590/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_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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_403ea36c031cf590/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..3266677c5cad477b2e1dd8c562377d2fa97c9152 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_403ea36c031cf590/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": "2026-05-19T16:06:56.786559+00:00", + "ended_at": "2026-05-19T16:06:59.695864+00:00", + "elapsed_ms": 2909.27, + "returncode": 1, + "prompt_metrics": { + "chars": 12532, + "bytes_utf8": 12532, + "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_403ea36c031cf590/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_403ea36c031cf590/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6cdf75d91845c3dfafe06b8ee6ec40b6ae8e15f3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_403ea36c031cf590/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": "2026-05-19T16:07:00.698581+00:00", + "ended_at": "2026-05-19T16:07:11.120290+00:00", + "elapsed_ms": 10421.67, + "prompt_metrics": { + "chars": 12532, + "bytes_utf8": 12532, + "lines": 399, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 781, + "bytes_utf8": 781, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_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 + } + }, + "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_403ea36c031cf590/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_403ea36c031cf590/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0115f7338f24086d029d6f60c2a3214d549c1214 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_403ea36c031cf590/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_4, condition_col=target.", + "planned_template_id": "tpl_m4_group_condition_rate", + "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 + }, + "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_403ea36c031cf590/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_403ea36c031cf590/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..0115f7338f24086d029d6f60c2a3214d549c1214 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_403ea36c031cf590/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_4, condition_col=target.", + "planned_template_id": "tpl_m4_group_condition_rate", + "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 + }, + "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_403ea36c031cf590/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_403ea36c031cf590/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..338fa921dc88bfb511dd97036cae1a7a6cefe045 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_403ea36c031cf590/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-8537-7ea2-913c-620706511d7b"} +{"type":"turn.started"} +{"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_403ea36c031cf590/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_403ea36c031cf590/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..cb359c0a1ade2373d37ee25194fffc268c2fad3c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_403ea36c031cf590/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-8537-7ea2-913c-620706511d7b"} +{"type":"turn.started"} +{"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_403ea36c031cf590/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_403ea36c031cf590/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..faaf495a3c1291e7806dfad458bd378e5aa1e41c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_403ea36c031cf590/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-946a-7293-8059-6fd8867bba1c"} +{"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\\\" = '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.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16118,"cached_input_tokens":12032,"output_tokens":440,"reasoning_output_tokens":322}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_403ea36c031cf590/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_403ea36c031cf590/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..1e0034254a0b58185372b79af0c7ed1ea7c42dee --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_403ea36c031cf590/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\" = '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."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_403ea36c031cf590/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_403ea36c031cf590/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_403ea36c031cf590/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_403ea36c031cf590/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_4892890042c06300/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4892890042c06300/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6e15d203643a81c9e64bf3791cc6f25194164fef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4892890042c06300/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": "2026-05-19T16:06:35.937398+00:00", + "ended_at": "2026-05-19T16:06:38.829032+00:00", + "elapsed_ms": 2891.57, + "returncode": 1, + "prompt_metrics": { + "chars": 12518, + "bytes_utf8": 12518, + "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_4892890042c06300/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4892890042c06300/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d8f6f46301533b2ef2662789d76f06f87c3a94d4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4892890042c06300/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": "2026-05-19T16:06:39.831471+00:00", + "ended_at": "2026-05-19T16:06:42.987248+00:00", + "elapsed_ms": 3155.73, + "returncode": 1, + "prompt_metrics": { + "chars": 12518, + "bytes_utf8": 12518, + "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_4892890042c06300/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4892890042c06300/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..db99c79ad99f7a10c13a054e03ab82805995d087 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4892890042c06300/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 focused_target_view. Focus on group_col=ord_3, condition_col=day.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "ord_3", + "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": 6.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n 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_4892890042c06300/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4892890042c06300/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..db99c79ad99f7a10c13a054e03ab82805995d087 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4892890042c06300/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 focused_target_view. Focus on group_col=ord_3, condition_col=day.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "ord_3", + "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": 6.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n 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_4892890042c06300/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4892890042c06300/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..469a430ddbcc62251295141cb7964ccb32a2a55f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4892890042c06300/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-33cd-7661-8006-cd4be171034f"} +{"type":"turn.started"} +{"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_4892890042c06300/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4892890042c06300/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4ef8a2e5886490d157a844b4585c46f6dc841739 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4892890042c06300/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-33cd-7661-8006-cd4be171034f"} +{"type":"turn.started"} +{"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_4892890042c06300/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4892890042c06300/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..3541c7eb04d1d25e527ec14166d182dda38e4432 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4892890042c06300/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-42db-7872-8ddb-d75e47bfb090"} +{"type":"turn.started"} +{"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_4892890042c06300/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4892890042c06300/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e3d9ce58220f8f3d8cb4b624bfb08a5538509da2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4892890042c06300/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-42db-7872-8ddb-d75e47bfb090"} +{"type":"turn.started"} +{"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_4892890042c06300/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4892890042c06300/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_4892890042c06300/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4892890042c06300/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_4c5976834ae0a146/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4c5976834ae0a146/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c7ff800992bc278e90a9f7780f49c9b98ee5472b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4c5976834ae0a146/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12833, "bytes_utf8": 12833, "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": 12833, "bytes_utf8": 12833, "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": 678, "bytes_utf8": 678, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16192, "cached_input_tokens": 14720, "output_tokens": 716, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4c5976834ae0a146/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4c5976834ae0a146/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..c7548e7fb0bd3193dfd95c3f4ec6ea3fc6f9b293 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4c5976834ae0a146/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_4c5976834ae0a146", + "api_calls": 0, + "input_tokens": 16192, + "cached_input_tokens": 14720, + "output_tokens": 716, + "total_tokens": 16908, + "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": 17580.99, + "sql_execution_elapsed_ms_total": 310.26, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4c5976834ae0a146/cli/conversation.jsonl", + "note": "Executed through a local 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_4c5976834ae0a146/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4c5976834ae0a146/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e3dfea60489e71138bb21bcd89bab2cfa8509506 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4c5976834ae0a146/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": "2026-05-19T15:52:36.329117+00:00", + "ended_at": "2026-05-19T15:52:39.726304+00:00", + "elapsed_ms": 3397.15, + "returncode": 1, + "prompt_metrics": { + "chars": 12833, + "bytes_utf8": 12833, + "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_4c5976834ae0a146/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4c5976834ae0a146/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..eecf48442bca737efef5787171b84fda7c9372ec --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4c5976834ae0a146/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": "2026-05-19T15:52:40.729205+00:00", + "ended_at": "2026-05-19T15:52:54.913095+00:00", + "elapsed_ms": 14183.84, + "prompt_metrics": { + "chars": 12833, + "bytes_utf8": 12833, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1100, + "bytes_utf8": 1100, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 678, + "bytes_utf8": 678, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16192, + "cached_input_tokens": 14720, + "output_tokens": 716, + "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_4c5976834ae0a146/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4c5976834ae0a146/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..671df6254b3cd64fa01196a3ea9001e67d007124 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4c5976834ae0a146/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_3, measure_col=day.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "bin_3", + "measure_col": "day", + "top_k": 15, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 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": "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_4c5976834ae0a146/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4c5976834ae0a146/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..671df6254b3cd64fa01196a3ea9001e67d007124 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4c5976834ae0a146/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_3, measure_col=day.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "bin_3", + "measure_col": "day", + "top_k": 15, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 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": "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_4c5976834ae0a146/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4c5976834ae0a146/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..0e6402fc8ca6dfc6956b78c4c1aca0d09f0de287 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4c5976834ae0a146/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f0-63f0-7f52-a8d2-e2a115c080d6"} +{"type":"turn.started"} +{"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_4c5976834ae0a146/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4c5976834ae0a146/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1413305887cc069af65dbcd0c4ddd359cb8bc584 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4c5976834ae0a146/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f0-63f0-7f52-a8d2-e2a115c080d6"} +{"type":"turn.started"} +{"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_4c5976834ae0a146/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4c5976834ae0a146/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..25e2e833456c5c8393231bb6641bc175ea9ea174 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4c5976834ae0a146/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f0-753c-7c91-b5aa-83aa89878888"} +{"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_3\\\",\\n SUM(CAST(NULLIF(\\\"day\\\", '') AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"c15\\\"\\n GROUP BY \\\"bin_3\\\"\\n),\\n\\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT g.\\\"bin_3\\\", g.\\\"group_value\\\"\\nFROM \\\"grouped\\\" AS g\\nCROSS JOIN \\\"total\\\" AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.05\\nORDER BY g.\\\"group_value\\\" DESC;\",\"notes\":\"Applied the planned template with group_col=\\\"bin_3\\\" and measure_col=\\\"day\\\", casting \\\"day\\\" to REAL and treating empty strings as NULL for SQLite-compatible aggregation.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16192,"cached_input_tokens":14720,"output_tokens":716,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4c5976834ae0a146/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4c5976834ae0a146/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..81f9cacc263436ae5c6ea1de55492f38cccae05e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4c5976834ae0a146/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH \"grouped\" AS (\n SELECT\n \"bin_3\",\n SUM(CAST(NULLIF(\"day\", '') AS REAL)) AS \"group_value\"\n FROM \"c15\"\n GROUP BY \"bin_3\"\n),\n\"total\" AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM \"grouped\"\n)\nSELECT g.\"bin_3\", g.\"group_value\"\nFROM \"grouped\" AS g\nCROSS JOIN \"total\" AS t\nWHERE g.\"group_value\" > t.\"total_value\" * 0.05\nORDER BY g.\"group_value\" DESC;","notes":"Applied the planned template with group_col=\"bin_3\" and measure_col=\"day\", casting \"day\" to REAL and treating empty strings as NULL 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_4c5976834ae0a146/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4c5976834ae0a146/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_4c5976834ae0a146/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_4c5976834ae0a146/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_57633da38be90c54/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_57633da38be90c54/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..33cd40881fac407fad4c0fd15c66568ccbb35c75 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_57633da38be90c54/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12685, "bytes_utf8": 12685, "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": 700, "bytes_utf8": 700, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16171, "cached_input_tokens": 14720, "output_tokens": 710, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_57633da38be90c54/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_57633da38be90c54/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..26da79e2ad4a4466266c25fa5146eab86c9d515e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_57633da38be90c54/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_57633da38be90c54", + "api_calls": 0, + "input_tokens": 16171, + "cached_input_tokens": 14720, + "output_tokens": 710, + "total_tokens": 16881, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 18189.71, + "sql_execution_elapsed_ms_total": 633.86, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_57633da38be90c54/cli/conversation.jsonl", + "note": "Executed through a local 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_57633da38be90c54/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_57633da38be90c54/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..96c02a2e0beef2d38a0e524474764fae3a385edf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_57633da38be90c54/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": "2026-05-19T15:43:11.589427+00:00", + "ended_at": "2026-05-19T15:43:29.779166+00:00", + "elapsed_ms": 18189.71, + "prompt_metrics": { + "chars": 12685, + "bytes_utf8": 12685, + "lines": 398, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1093, + "bytes_utf8": 1093, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 700, + "bytes_utf8": 700, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16171, + "cached_input_tokens": 14720, + "output_tokens": 710, + "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_57633da38be90c54/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_57633da38be90c54/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8602c3446fd343febb1df4feb1490b2e5865c949 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_57633da38be90c54/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=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": 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": 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}, {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_57633da38be90c54/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_57633da38be90c54/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c92c5072812f3c5826bda57a04b5b41475d5fe8a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_57633da38be90c54/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e7-c5f9-7d93-ad20-b50f39d51ce0"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"month\\\", \\\"nom_7\\\",\\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 \\\"month\\\") AS share_within_group\\nFROM \\\"c15\\\"\\nWHERE \\\"month\\\" IS NOT NULL AND \\\"month\\\" <> ''\\nGROUP BY \\\"month\\\", \\\"nom_7\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Uses the planned Within-Group Share of Total template with group_col=\\\"month\\\", item_col=\\\"nom_7\\\", and measure_col=\\\"month\\\". CAST to REAL keeps the SUM SQLite-compatible because the schema stores \\\"month\\\" as TEXT, and empty month values are excluded to avoid zero/invalid group totals.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16171,"cached_input_tokens":14720,"output_tokens":710,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_57633da38be90c54/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_57633da38be90c54/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..17e0694069f11b91852406f3e1a86a38ddf3bb5d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_57633da38be90c54/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"month\", \"nom_7\",\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 \"month\") AS share_within_group\nFROM \"c15\"\nWHERE \"month\" IS NOT NULL AND \"month\" <> ''\nGROUP BY \"month\", \"nom_7\"\nORDER BY share_within_group DESC;","notes":"Uses the planned Within-Group Share of Total template with group_col=\"month\", item_col=\"nom_7\", and measure_col=\"month\". CAST to REAL keeps the SUM SQLite-compatible because the schema stores \"month\" as TEXT, and empty month values are excluded to avoid zero/invalid group totals."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_57633da38be90c54/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_57633da38be90c54/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/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5b53cf0185834518/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..263eabc741d07156f43de1b127b231cf4e1c3733 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5b53cf0185834518/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12282, "bytes_utf8": 12282, "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": 412, "bytes_utf8": 412, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16056, "cached_input_tokens": 12032, "output_tokens": 634, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5b53cf0185834518/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5b53cf0185834518/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..136c1e677bb60989edd00690bd083d075bf955e9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5b53cf0185834518/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_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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5b53cf0185834518/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..26e0d44a5b2b1896ffadff51f9daba443918a17d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5b53cf0185834518/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:31:43.581875+00:00", + "ended_at": "2026-05-19T15:32:01.106906+00:00", + "elapsed_ms": 17525.0, + "prompt_metrics": { + "chars": 12282, + "bytes_utf8": 12282, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 778, + "bytes_utf8": 778, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_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 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_5b53cf0185834518/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5b53cf0185834518/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3b1efdf137cff21afe1731c0c41ebc1b217a6865 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5b53cf0185834518/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_2, measure_col=id.", + "planned_template_id": "tpl_h2o_group_sum", + "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 + }, + "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_5b53cf0185834518/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5b53cf0185834518/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..42614279008dd7f8793b493b09b6b1c7547ef6a8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5b53cf0185834518/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40dd-466e-78d0-a9c0-7646ef1e6320"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"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.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16056,"cached_input_tokens":12032,"output_tokens":634,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5b53cf0185834518/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5b53cf0185834518/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2750d20ab5ea31efbda55fcac6bd52b4e873273c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5b53cf0185834518/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"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."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5b53cf0185834518/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5b53cf0185834518/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_5d5742f0f7b7451a/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5d5742f0f7b7451a/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..17e3fdf10599fa070ae368d426fd39d3de8721e8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5d5742f0f7b7451a/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12196, "bytes_utf8": 12196, "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": 391, "bytes_utf8": 391, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16031, "cached_input_tokens": 12032, "output_tokens": 347, "reasoning_output_tokens": 245}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5d5742f0f7b7451a/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5d5742f0f7b7451a/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..14d79d8d5ac1e262e74298ea7765433f88f75b6b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5d5742f0f7b7451a/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_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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5d5742f0f7b7451a/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d775992f36520fe3eada954a91d63501ebe833be --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5d5742f0f7b7451a/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": "2026-05-19T15:32:40.926697+00:00", + "ended_at": "2026-05-19T15:32:53.555681+00:00", + "elapsed_ms": 12628.95, + "prompt_metrics": { + "chars": 12196, + "bytes_utf8": 12196, + "lines": 394, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 741, + "bytes_utf8": 741, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 391, + "bytes_utf8": 391, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16031, + "cached_input_tokens": 12032, + "output_tokens": 347, + "reasoning_output_tokens": 245 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5d5742f0f7b7451a/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5d5742f0f7b7451a/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ce23b1e478c4b03dd821782b59480ad79a319c85 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5d5742f0f7b7451a/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_2.", + "planned_template_id": "tpl_clickbench_group_count", + "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 + }, + "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_5d5742f0f7b7451a/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5d5742f0f7b7451a/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e41ab6b02c03f5ef9f205e7ddf452f55df2897b2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5d5742f0f7b7451a/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40de-266a-7c50-8fe1-5ff26e20f4c3"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"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.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16031,"cached_input_tokens":12032,"output_tokens":347,"reasoning_output_tokens":245}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5d5742f0f7b7451a/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5d5742f0f7b7451a/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1f9c6449bb9a48c4540e413d636c5eed29c78b98 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5d5742f0f7b7451a/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"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."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5d5742f0f7b7451a/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_5d5742f0f7b7451a/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_60156911ad2f8ad4/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_60156911ad2f8ad4/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8bd8603ad25063f96178c819f2f5fd9c09b1dfca --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_60156911ad2f8ad4/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": 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": 546, "bytes_utf8": 546, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16111, "cached_input_tokens": 14720, "output_tokens": 685, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_60156911ad2f8ad4/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_60156911ad2f8ad4/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..19602d03622997bc6b4ada191481b97e010a343d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_60156911ad2f8ad4/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_60156911ad2f8ad4", + "api_calls": 0, + "input_tokens": 16111, + "cached_input_tokens": 14720, + "output_tokens": 685, + "total_tokens": 16796, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13886.66, + "sql_execution_elapsed_ms_total": 935.43, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_60156911ad2f8ad4/cli/conversation.jsonl", + "note": "Executed through a local 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_60156911ad2f8ad4/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_60156911ad2f8ad4/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..385be448c6922ac2c2c402cbffeb62937b2dc0bc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_60156911ad2f8ad4/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": "2026-05-19T15:49:50.482194+00:00", + "ended_at": "2026-05-19T15:50:04.368887+00:00", + "elapsed_ms": 13886.66, + "prompt_metrics": { + "chars": 12458, + "bytes_utf8": 12458, + "lines": 394, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 926, + "bytes_utf8": 926, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 546, + "bytes_utf8": 546, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16111, + "cached_input_tokens": 14720, + "output_tokens": 685, + "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_60156911ad2f8ad4/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_60156911ad2f8ad4/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f01b71c802d49c1a9ede43764a81bc95cbad0d99 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_60156911ad2f8ad4/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_2.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "bindings": { + "measure_col": "bin_2", + "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": 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_60156911ad2f8ad4/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_60156911ad2f8ad4/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b3746af976d32a714dc62585c5518b21e1a39d33 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_60156911ad2f8ad4/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ed-dc3b-7241-b78d-9f3f618dccb0"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n SELECT CAST(\\\"bin_2\\\" AS REAL) AS \\\"bin_2\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"bin_2\\\" AS REAL) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"c15\\\"\\n WHERE \\\"bin_2\\\" <> ''\\n)\\nSELECT \\\"bin_2\\\"\\nFROM buckets\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"bin_2\\\" DESC;\",\"notes\":\"Applied the Quantile Tail Slice template with measure_col bound to \\\"bin_2\\\" and num_tiles=10. Filtered empty-string values and cast \\\"bin_2\\\" to REAL because the SQLite column is stored as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16111,"cached_input_tokens":14720,"output_tokens":685,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_60156911ad2f8ad4/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_60156911ad2f8ad4/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..da82c2f34cf05a1377ac758212cfc097d39bccb5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_60156911ad2f8ad4/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_quantile_tail_slice\nWITH buckets AS (\n SELECT CAST(\"bin_2\" AS REAL) AS \"bin_2\",\n NTILE(10) OVER (ORDER BY CAST(\"bin_2\" AS REAL) DESC) AS \"tail_bucket\"\n FROM \"c15\"\n WHERE \"bin_2\" <> ''\n)\nSELECT \"bin_2\"\nFROM buckets\nWHERE \"tail_bucket\" = 1\nORDER BY \"bin_2\" DESC;","notes":"Applied the Quantile Tail Slice template with measure_col bound to \"bin_2\" and num_tiles=10. Filtered empty-string values and cast \"bin_2\" to REAL because the SQLite column is stored as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_60156911ad2f8ad4/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_60156911ad2f8ad4/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_6248e602ed203801/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6248e602ed203801/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3530a9ab4bae0ebc8b569aea886acbc643affa60 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6248e602ed203801/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": 438, "bytes_utf8": 438, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16056, "cached_input_tokens": 12032, "output_tokens": 530, "reasoning_output_tokens": 407}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6248e602ed203801/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6248e602ed203801/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..d0adc1e5f17a0d9ee9b0221953ce65826264559a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6248e602ed203801/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_6248e602ed203801", + "api_calls": 0, + "input_tokens": 16056, + "cached_input_tokens": 12032, + "output_tokens": 530, + "total_tokens": 16586, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14058.0, + "sql_execution_elapsed_ms_total": 370.52, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6248e602ed203801/cli/conversation.jsonl", + "note": "Executed through a local 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_6248e602ed203801/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6248e602ed203801/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4bcdd9844d2925d37273663c93d71ec55c826e8e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6248e602ed203801/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:31:01.878085+00:00", + "ended_at": "2026-05-19T15:31:15.936119+00:00", + "elapsed_ms": 14058.0, + "prompt_metrics": { + "chars": 12280, + "bytes_utf8": 12280, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 804, + "bytes_utf8": 804, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 438, + "bytes_utf8": 438, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16056, + "cached_input_tokens": 12032, + "output_tokens": 530, + "reasoning_output_tokens": 407 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_6248e602ed203801/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6248e602ed203801/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a53eae8911d9b9c683720364ea3045a503a0244a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6248e602ed203801/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_1, measure_col=month.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "nom_1", + "measure_col": "month", + "top_k": 11, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 9.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_6248e602ed203801/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6248e602ed203801/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..64863072050b4687278f5542b0565c9cdadd2c5d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6248e602ed203801/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40dc-a39a-7401-9c4f-ba7004d3a422"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"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\":\"Uses the planned Grouped Numeric Sum template with group_col=\\\"nom_1\\\" and measure_col=\\\"month\\\". \\\"month\\\" is stored as TEXT in the schema, so empty strings are converted to NULL and non-empty values are cast to REAL before summation.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16056,"cached_input_tokens":12032,"output_tokens":530,"reasoning_output_tokens":407}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6248e602ed203801/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6248e602ed203801/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0f2995abc254d3761c59f3e06f1a457ff1b6fa0a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6248e602ed203801/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"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":"Uses the planned Grouped Numeric Sum template with group_col=\"nom_1\" and measure_col=\"month\". \"month\" is stored as TEXT in the schema, so empty strings are converted to NULL and non-empty 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_6248e602ed203801/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6248e602ed203801/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_624b449b674b54dd/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_624b449b674b54dd/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..3eeb3747916d627b876c27e131a22a3d0c62065a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_624b449b674b54dd/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": "2026-05-19T16:12:53.180754+00:00", + "ended_at": "2026-05-19T16:12:56.060063+00:00", + "elapsed_ms": 2879.28, + "returncode": 1, + "prompt_metrics": { + "chars": 12365, + "bytes_utf8": 12365, + "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_624b449b674b54dd/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_624b449b674b54dd/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..8703991868ff841396f2888ef1f400b46852d1ae --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_624b449b674b54dd/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": "2026-05-19T16:12:57.062286+00:00", + "ended_at": "2026-05-19T16:13:00.361034+00:00", + "elapsed_ms": 3298.67, + "returncode": 1, + "prompt_metrics": { + "chars": 12365, + "bytes_utf8": 12365, + "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_624b449b674b54dd/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_624b449b674b54dd/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..292085f9593d2ae23451f111a3d49cf37e4718ce --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_624b449b674b54dd/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_4, measure_col=id.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "ord_4", + "measure_col": "id", + "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": 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_624b449b674b54dd/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_624b449b674b54dd/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..292085f9593d2ae23451f111a3d49cf37e4718ce --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_624b449b674b54dd/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_4, measure_col=id.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "ord_4", + "measure_col": "id", + "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": 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_624b449b674b54dd/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_624b449b674b54dd/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b5c7cdf6df53227db185c97efa568f1c20c122e1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_624b449b674b54dd/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-f544-7340-b8a1-179d5e27aa40"} +{"type":"turn.started"} +{"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_624b449b674b54dd/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_624b449b674b54dd/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c2111f18eb694e1fe67e82164784c43e24cf1bf9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_624b449b674b54dd/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-f544-7340-b8a1-179d5e27aa40"} +{"type":"turn.started"} +{"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_624b449b674b54dd/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_624b449b674b54dd/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6a400a4629196c082bf81b8b645ef283158d50e9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_624b449b674b54dd/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4103-0486-7490-921b-99c7ba7d7571"} +{"type":"turn.started"} +{"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_624b449b674b54dd/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_624b449b674b54dd/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..91b8c35b053c69b81953d19f594b97826820f376 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_624b449b674b54dd/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4103-0486-7490-921b-99c7ba7d7571"} +{"type":"turn.started"} +{"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_624b449b674b54dd/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_624b449b674b54dd/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_624b449b674b54dd/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_624b449b674b54dd/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_6838bb497bed4195/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6838bb497bed4195/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..2a3f88442c6df9f66c4715ecaf6a4caf138cbec4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6838bb497bed4195/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": "2026-05-19T16:04:42.477643+00:00", + "ended_at": "2026-05-19T16:04:46.144703+00:00", + "elapsed_ms": 3667.03, + "returncode": 1, + "prompt_metrics": { + "chars": 12523, + "bytes_utf8": 12523, + "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_6838bb497bed4195/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6838bb497bed4195/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b6ab17047c089f4c6ca0fcaf84354f7082cce97a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6838bb497bed4195/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:04:47.146525+00:00", + "ended_at": "2026-05-19T16:04:50.045121+00:00", + "elapsed_ms": 2898.56, + "returncode": 1, + "prompt_metrics": { + "chars": 12523, + "bytes_utf8": 12523, + "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_6838bb497bed4195/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6838bb497bed4195/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..88010190b0589cca9b3f10c8db3ace8e0c16d4af --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6838bb497bed4195/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 focused_target_view. 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": "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": 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_6838bb497bed4195/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6838bb497bed4195/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..88010190b0589cca9b3f10c8db3ace8e0c16d4af --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6838bb497bed4195/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 focused_target_view. 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": "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": 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_6838bb497bed4195/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6838bb497bed4195/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6c4f6c6e8fbc16def7aac797130f56361f5bded7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6838bb497bed4195/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-7898-75e1-a002-fb24f3f1b0a9"} +{"type":"turn.started"} +{"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_6838bb497bed4195/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6838bb497bed4195/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..980af129fa52c79db6586dff44a0b6e1b286d21e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6838bb497bed4195/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-7898-75e1-a002-fb24f3f1b0a9"} +{"type":"turn.started"} +{"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_6838bb497bed4195/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6838bb497bed4195/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5ab1537698f369a25900cbe596e68d4ccb8c29f0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6838bb497bed4195/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-8aa9-75d2-8500-ae08ab97520d"} +{"type":"turn.started"} +{"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_6838bb497bed4195/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6838bb497bed4195/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..183721dd5318e2f3e7350ec8b5e4034c2f7ec21e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6838bb497bed4195/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-8aa9-75d2-8500-ae08ab97520d"} +{"type":"turn.started"} +{"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_6838bb497bed4195/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6838bb497bed4195/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_6838bb497bed4195/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6838bb497bed4195/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_6fd14689d0155d7d/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6fd14689d0155d7d/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..0ad3231e2cd88e228fac22075edd14100d19693e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6fd14689d0155d7d/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": "2026-05-19T15:54:51.721930+00:00", + "ended_at": "2026-05-19T15:54:54.583789+00:00", + "elapsed_ms": 2861.83, + "returncode": 1, + "prompt_metrics": { + "chars": 12838, + "bytes_utf8": 12838, + "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_6fd14689d0155d7d/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6fd14689d0155d7d/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..9275455d972a03630890f328165a41ee5d1e6d81 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6fd14689d0155d7d/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": "2026-05-19T15:54:55.585911+00:00", + "ended_at": "2026-05-19T15:54:58.536418+00:00", + "elapsed_ms": 2950.47, + "returncode": 1, + "prompt_metrics": { + "chars": 12838, + "bytes_utf8": 12838, + "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_6fd14689d0155d7d/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6fd14689d0155d7d/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f5535c565d19bc5fcfacb9528fb3fb80b90f5d99 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6fd14689d0155d7d/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_3, measure_col=bin_2.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "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 + }, + "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_6fd14689d0155d7d/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6fd14689d0155d7d/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..f5535c565d19bc5fcfacb9528fb3fb80b90f5d99 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6fd14689d0155d7d/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_3, measure_col=bin_2.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "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 + }, + "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_6fd14689d0155d7d/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6fd14689d0155d7d/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..d3feba1db1afc1a2f6529daf564b8ef09abe89db --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6fd14689d0155d7d/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f2-74d6-7de2-b137-34c47e284c68"} +{"type":"turn.started"} +{"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_6fd14689d0155d7d/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6fd14689d0155d7d/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3d7e24cbde3db3eb1e18fadacd7e8fdd526cc8fe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6fd14689d0155d7d/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f2-74d6-7de2-b137-34c47e284c68"} +{"type":"turn.started"} +{"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_6fd14689d0155d7d/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6fd14689d0155d7d/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..4f25f2eb05e9d466df07f2da6c24fc93b47bc5f8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6fd14689d0155d7d/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f2-83fc-7133-a95e-e544bce8b971"} +{"type":"turn.started"} +{"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_6fd14689d0155d7d/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6fd14689d0155d7d/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..c12669e7c87e33cfd2b5027604f950e95c72a5ea --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6fd14689d0155d7d/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f2-83fc-7133-a95e-e544bce8b971"} +{"type":"turn.started"} +{"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_6fd14689d0155d7d/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6fd14689d0155d7d/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_6fd14689d0155d7d/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_6fd14689d0155d7d/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_733801fca2f36c17/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_733801fca2f36c17/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a665784f66febf1df4b496fc7575f03e5e47c3bb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_733801fca2f36c17/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": "2026-05-19T16:11:52.749346+00:00", + "ended_at": "2026-05-19T16:11:55.728194+00:00", + "elapsed_ms": 2978.82, + "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_733801fca2f36c17/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_733801fca2f36c17/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..0e6423c2aaa4381aed1d54ab9cd56318eb0eeb8e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_733801fca2f36c17/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": "2026-05-19T16:11:56.729927+00:00", + "ended_at": "2026-05-19T16:12:00.617798+00:00", + "elapsed_ms": 3887.84, + "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_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_733801fca2f36c17/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_733801fca2f36c17/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..987f7f0afa03ee2eea3dcd9861c1382234820514 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_733801fca2f36c17/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_0, measure_col=bin_2.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "ord_0", + "measure_col": "bin_2", + "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": 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 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_733801fca2f36c17/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_733801fca2f36c17/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..987f7f0afa03ee2eea3dcd9861c1382234820514 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_733801fca2f36c17/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_0, measure_col=bin_2.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "ord_0", + "measure_col": "bin_2", + "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": 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 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_733801fca2f36c17/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_733801fca2f36c17/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..8cc13cdefa8fd0fc4bda46277a4f6fee884447f8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_733801fca2f36c17/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-0935-7433-930a-1e7b83a679b8"} +{"type":"turn.started"} +{"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_733801fca2f36c17/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_733801fca2f36c17/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a8e69665dea28ac13efa944f8697a0a7c6c36240 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_733801fca2f36c17/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-0935-7433-930a-1e7b83a679b8"} +{"type":"turn.started"} +{"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_733801fca2f36c17/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_733801fca2f36c17/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..4e25edf4f8c58144e7be43182bfbc1763c9cdea2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_733801fca2f36c17/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-18c9-7212-aeee-c491e836df11"} +{"type":"turn.started"} +{"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_733801fca2f36c17/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_733801fca2f36c17/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..30340b47e6661deab9a8e19d5378a624fbd09698 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_733801fca2f36c17/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-18c9-7212-aeee-c491e836df11"} +{"type":"turn.started"} +{"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_733801fca2f36c17/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_733801fca2f36c17/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_733801fca2f36c17/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_733801fca2f36c17/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_78fb90080a02e095/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_78fb90080a02e095/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8cafe8a63dcdbfa9272b5940e6baebdb47ec7251 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_78fb90080a02e095/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12278, "bytes_utf8": 12278, "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": 345, "bytes_utf8": 345, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16056, "cached_input_tokens": 15744, "output_tokens": 613, "reasoning_output_tokens": 511}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_78fb90080a02e095/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_78fb90080a02e095/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..3fe294c21eb0100232c6bba061240b2be0552b88 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_78fb90080a02e095/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_78fb90080a02e095", + "api_calls": 0, + "input_tokens": 16056, + "cached_input_tokens": 15744, + "output_tokens": 613, + "total_tokens": 16669, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13273.96, + "sql_execution_elapsed_ms_total": 331.32, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_78fb90080a02e095/cli/conversation.jsonl", + "note": "Executed through a local 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_78fb90080a02e095/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_78fb90080a02e095/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..2ac30e6687e0c01dab98f1176e467eef910110c1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_78fb90080a02e095/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:31:29.943255+00:00", + "ended_at": "2026-05-19T15:31:43.217247+00:00", + "elapsed_ms": 13273.96, + "prompt_metrics": { + "chars": 12278, + "bytes_utf8": 12278, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 703, + "bytes_utf8": 703, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 345, + "bytes_utf8": 345, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16056, + "cached_input_tokens": 15744, + "output_tokens": 613, + "reasoning_output_tokens": 511 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_78fb90080a02e095/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_78fb90080a02e095/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..793b8dc33fc05dffa26f9cb1559acb2e0262f249 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_78fb90080a02e095/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_2, measure_col=id.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "nom_2", + "measure_col": "id", + "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": 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}, 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_78fb90080a02e095/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_78fb90080a02e095/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..cc880213e9b2421c490b514efb784487e05e6524 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_78fb90080a02e095/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40dd-1137-7c70-807d-99b367c3384d"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"nom_2\\\", SUM(CAST(\\\"id\\\" AS NUMERIC)) AS total_measure\\nFROM \\\"c15\\\"\\nGROUP BY \\\"nom_2\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Uses the grouped numeric sum template with \\\"nom_2\\\" as the grouping column and \\\"id\\\" as the measure; CAST is applied because \\\"id\\\" is stored as TEXT in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16056,"cached_input_tokens":15744,"output_tokens":613,"reasoning_output_tokens":511}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_78fb90080a02e095/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_78fb90080a02e095/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4ed0971551bc85700ba701bac30b1255fa10679c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_78fb90080a02e095/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"nom_2\", SUM(CAST(\"id\" AS NUMERIC)) AS total_measure\nFROM \"c15\"\nGROUP BY \"nom_2\"\nORDER BY total_measure DESC;","notes":"Uses the grouped numeric sum template with \"nom_2\" as the grouping column and \"id\" as the measure; CAST is applied because \"id\" is stored as TEXT in SQLite."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_78fb90080a02e095/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_78fb90080a02e095/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_7c115ee260618b50/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7c115ee260618b50/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7f2d1e75a8b6362b673d968d27fcfae13c633150 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7c115ee260618b50/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12831, "bytes_utf8": 12831, "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": 12831, "bytes_utf8": 12831, "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": 941, "bytes_utf8": 941, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16194, "cached_input_tokens": 14720, "output_tokens": 811, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7c115ee260618b50/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7c115ee260618b50/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..0d335f831086a547186f25f43faab65bce12e4ac --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7c115ee260618b50/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_7c115ee260618b50", + "api_calls": 0, + "input_tokens": 16194, + "cached_input_tokens": 14720, + "output_tokens": 811, + "total_tokens": 17005, + "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": 17704.08, + "sql_execution_elapsed_ms_total": 334.04, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7c115ee260618b50/cli/conversation.jsonl", + "note": "Executed through a local 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_7c115ee260618b50/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7c115ee260618b50/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6786b9ee2e87ce871bfa610631576ed5a4207895 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7c115ee260618b50/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": "2026-05-19T15:52:17.254307+00:00", + "ended_at": "2026-05-19T15:52:20.301077+00:00", + "elapsed_ms": 3046.74, + "returncode": 1, + "prompt_metrics": { + "chars": 12831, + "bytes_utf8": 12831, + "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_7c115ee260618b50/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7c115ee260618b50/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f7dbe516d63cc38d27ee6d08cd4ffc3fabf4bf26 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7c115ee260618b50/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": "2026-05-19T15:52:21.302878+00:00", + "ended_at": "2026-05-19T15:52:35.960253+00:00", + "elapsed_ms": 14657.34, + "prompt_metrics": { + "chars": 12831, + "bytes_utf8": 12831, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1411, + "bytes_utf8": 1411, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 941, + "bytes_utf8": 941, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16194, + "cached_input_tokens": 14720, + "output_tokens": 811, + "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_7c115ee260618b50/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7c115ee260618b50/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1d057a9c06d1ff38031bd46e0dab3cf7dc864a90 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7c115ee260618b50/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_3, measure_col=day.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "bin_3", + "measure_col": "day", + "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": 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 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_7c115ee260618b50/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7c115ee260618b50/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..1d057a9c06d1ff38031bd46e0dab3cf7dc864a90 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7c115ee260618b50/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=bin_3, measure_col=day.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "bin_3", + "measure_col": "day", + "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": 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 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_7c115ee260618b50/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7c115ee260618b50/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..4f73fa40035493366a02ec549bab4818cf5eef2d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7c115ee260618b50/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f0-1970-7432-8906-9548bbbd72e5"} +{"type":"turn.started"} +{"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_7c115ee260618b50/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7c115ee260618b50/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b75bbfd87a906d2c323d4127805a8f49b2b6ddc2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7c115ee260618b50/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f0-1970-7432-8906-9548bbbd72e5"} +{"type":"turn.started"} +{"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_7c115ee260618b50/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7c115ee260618b50/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..0375243e7ea701a083aac3cd0d17c50d03dde67d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7c115ee260618b50/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f0-293d-7353-a19c-06b3b110d96e"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"filtered\\\" AS (\\n SELECT\\n \\\"bin_3\\\",\\n CAST(\\\"day\\\" AS REAL) AS \\\"day_value\\\"\\n FROM \\\"c15\\\"\\n WHERE \\\"bin_3\\\" IS NOT NULL\\n AND \\\"bin_3\\\" <> ''\\n AND \\\"day\\\" IS NOT NULL\\n AND \\\"day\\\" <> ''\\n),\\n\\\"grouped\\\" AS (\\n SELECT\\n \\\"bin_3\\\",\\n SUM(\\\"day_value\\\") AS \\\"group_value\\\"\\n FROM \\\"filtered\\\"\\n GROUP BY \\\"bin_3\\\"\\n),\\n\\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT\\n g.\\\"bin_3\\\",\\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 Relative-to-Total Extreme Threshold template with group_col=\\\"bin_3\\\" and measure_col=\\\"day\\\". Because both columns are stored as TEXT in SQLite, the query filters out NULL/empty strings and casts \\\"day\\\" to REAL before summing.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16194,"cached_input_tokens":14720,"output_tokens":811,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7c115ee260618b50/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7c115ee260618b50/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..bd63c3b429a9af498e8ceae83662eb6b3bcc927c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7c115ee260618b50/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH \"filtered\" AS (\n SELECT\n \"bin_3\",\n CAST(\"day\" AS REAL) AS \"day_value\"\n FROM \"c15\"\n WHERE \"bin_3\" IS NOT NULL\n AND \"bin_3\" <> ''\n AND \"day\" IS NOT NULL\n AND \"day\" <> ''\n),\n\"grouped\" AS (\n SELECT\n \"bin_3\",\n SUM(\"day_value\") AS \"group_value\"\n FROM \"filtered\"\n GROUP BY \"bin_3\"\n),\n\"total\" AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM \"grouped\"\n)\nSELECT\n g.\"bin_3\",\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 Relative-to-Total Extreme Threshold template with group_col=\"bin_3\" and measure_col=\"day\". Because both columns are stored as TEXT in SQLite, the query filters out NULL/empty strings and casts \"day\" 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_7c115ee260618b50/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7c115ee260618b50/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_7c115ee260618b50/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7c115ee260618b50/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_7e924ea54d984b1b/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7e924ea54d984b1b/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..0f45f905e7951c10ac61b66e96abef0764412a24 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7e924ea54d984b1b/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:05:27.745884+00:00", + "ended_at": "2026-05-19T16:05:30.928837+00:00", + "elapsed_ms": 3182.92, + "returncode": 1, + "prompt_metrics": { + "chars": 12532, + "bytes_utf8": 12532, + "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_7e924ea54d984b1b/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7e924ea54d984b1b/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..70b1fc7a455d4d5720316e106349b4c78e3e0b7f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7e924ea54d984b1b/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:05:31.931272+00:00", + "ended_at": "2026-05-19T16:05:35.153166+00:00", + "elapsed_ms": 3221.86, + "returncode": 1, + "prompt_metrics": { + "chars": 12532, + "bytes_utf8": 12532, + "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_7e924ea54d984b1b/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7e924ea54d984b1b/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..dc9d7edc7140f8aaa8ec63701003d7c7c1842267 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7e924ea54d984b1b/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 focused_target_view. Focus on group_col=nom_4, condition_col=nom_4.", + "planned_template_id": "tpl_m4_group_condition_rate", + "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 + }, + "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_7e924ea54d984b1b/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7e924ea54d984b1b/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..dc9d7edc7140f8aaa8ec63701003d7c7c1842267 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7e924ea54d984b1b/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 focused_target_view. Focus on group_col=nom_4, condition_col=nom_4.", + "planned_template_id": "tpl_m4_group_condition_rate", + "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 + }, + "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_7e924ea54d984b1b/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7e924ea54d984b1b/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..377f62d1db536f77419a5f766770167a213edcf7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7e924ea54d984b1b/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-293e-7602-88e6-68b114d3544e"} +{"type":"turn.started"} +{"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_7e924ea54d984b1b/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7e924ea54d984b1b/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ccb1667b1e6ef091f4ed179393bb3e65c4f82ac1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7e924ea54d984b1b/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-293e-7602-88e6-68b114d3544e"} +{"type":"turn.started"} +{"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_7e924ea54d984b1b/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7e924ea54d984b1b/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6cc04a477426f161415951827028a684ff570ddb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7e924ea54d984b1b/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-399e-73b2-8a53-c756b0289f19"} +{"type":"turn.started"} +{"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_7e924ea54d984b1b/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7e924ea54d984b1b/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..ab924e113883fb7f880dc182fe28739e54ffcf43 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7e924ea54d984b1b/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-399e-73b2-8a53-c756b0289f19"} +{"type":"turn.started"} +{"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_7e924ea54d984b1b/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7e924ea54d984b1b/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/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_7e924ea54d984b1b/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_82ef419d65866955/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_82ef419d65866955/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..ffcb5f48355116e2bc9ed6853dcb9fe925e2292c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_82ef419d65866955/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_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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_82ef419d65866955/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..52a17b67639b7e0fda6c42784a1a5e86afe6744d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_82ef419d65866955/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": "2026-05-19T15:39:59.979916+00:00", + "ended_at": "2026-05-19T15:40:14.583106+00:00", + "elapsed_ms": 14603.05, + "prompt_metrics": { + "chars": 12685, + "bytes_utf8": 12685, + "lines": 398, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1057, + "bytes_utf8": 1057, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 670, + "bytes_utf8": 670, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16179, + "cached_input_tokens": 12032, + "output_tokens": 725, + "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_82ef419d65866955/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_82ef419d65866955/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..dfa9ba84f2453c4365aa789797893141411a47e4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_82ef419d65866955/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_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": 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 + }, + "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_82ef419d65866955/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_82ef419d65866955/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..8b37faa35262417fbf96896ee093bd739e653de0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_82ef419d65866955/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e4-d975-7a41-a8a7-18ff06d6914b"} +{"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 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.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16179,"cached_input_tokens":12032,"output_tokens":725,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_82ef419d65866955/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_82ef419d65866955/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..69937c1202ed66dd2586607433b6c42978036ddb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_82ef419d65866955/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 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."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_82ef419d65866955/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_82ef419d65866955/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_864493cbd324320e/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_864493cbd324320e/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..9c67350467a739104e0be6f351b837d2d198bd34 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_864493cbd324320e/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": "2026-05-19T16:08:51.558825+00:00", + "ended_at": "2026-05-19T16:08:54.410977+00:00", + "elapsed_ms": 2852.12, + "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_864493cbd324320e/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_864493cbd324320e/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..8a75ab523c538beb61798e7228226979b2919624 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_864493cbd324320e/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": "2026-05-19T16:08:55.412762+00:00", + "ended_at": "2026-05-19T16:08:58.476046+00:00", + "elapsed_ms": 3063.25, + "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_864493cbd324320e/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_864493cbd324320e/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5ef0a859289402991bb02bf3494ae3a659257250 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_864493cbd324320e/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_2.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "ord_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": 0.75, + "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_864493cbd324320e/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_864493cbd324320e/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..5ef0a859289402991bb02bf3494ae3a659257250 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_864493cbd324320e/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_2.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "ord_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": 0.75, + "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_864493cbd324320e/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_864493cbd324320e/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c1df8498062fe4d8e683aa7ed42ee70d83e7e418 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_864493cbd324320e/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-4560-7713-b472-712ec3478af0"} +{"type":"turn.started"} +{"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_864493cbd324320e/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_864493cbd324320e/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0c3f19094456cf8b415a8140df88b205d6d4a7c5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_864493cbd324320e/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-4560-7713-b472-712ec3478af0"} +{"type":"turn.started"} +{"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_864493cbd324320e/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_864493cbd324320e/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6a0269623359f50a442080aeac2999dc07fcccd0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_864493cbd324320e/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-5479-7822-961f-4de7d1ff15d7"} +{"type":"turn.started"} +{"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_864493cbd324320e/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_864493cbd324320e/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..02e507e1489caee3ef91f2e35f9137b14358e8c6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_864493cbd324320e/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-5479-7822-961f-4de7d1ff15d7"} +{"type":"turn.started"} +{"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_864493cbd324320e/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_864493cbd324320e/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_864493cbd324320e/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_864493cbd324320e/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_86b31c53b9c4084b/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_86b31c53b9c4084b/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..5d04a2a87bad8a9798db0e5db48b2398e3612a0d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_86b31c53b9c4084b/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": "2026-05-19T16:10:52.107014+00:00", + "ended_at": "2026-05-19T16:10:55.045931+00:00", + "elapsed_ms": 2938.89, + "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_86b31c53b9c4084b/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_86b31c53b9c4084b/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..9867dcae30224c5e14aab6ff44cc8218e80185d8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_86b31c53b9c4084b/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": "2026-05-19T16:10:56.047689+00:00", + "ended_at": "2026-05-19T16:10:59.000091+00:00", + "elapsed_ms": 2952.37, + "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_86b31c53b9c4084b/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_86b31c53b9c4084b/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b7f9306357fc450eb7b33c1016d8ed536e05245d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_86b31c53b9c4084b/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=nom_1, measure_col=month.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "nom_1", + "measure_col": "month", + "top_k": 17, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 7.92, + "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_86b31c53b9c4084b/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_86b31c53b9c4084b/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..b7f9306357fc450eb7b33c1016d8ed536e05245d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_86b31c53b9c4084b/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=nom_1, measure_col=month.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "nom_1", + "measure_col": "month", + "top_k": 17, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 7.92, + "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_86b31c53b9c4084b/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_86b31c53b9c4084b/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..063a96de8599bbc7d06614df071d4adc8f0d6661 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_86b31c53b9c4084b/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-1c4f-7290-803f-6f688d56b810"} +{"type":"turn.started"} +{"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_86b31c53b9c4084b/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_86b31c53b9c4084b/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..21efb6c8270eb839b3b4d4138fcc8c5101762cdc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_86b31c53b9c4084b/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-1c4f-7290-803f-6f688d56b810"} +{"type":"turn.started"} +{"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_86b31c53b9c4084b/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_86b31c53b9c4084b/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b37c371e6be5ff9ba3fb60ebaa88f8ef786f678c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_86b31c53b9c4084b/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-2b9c-7bd0-99be-e7b00cb070ec"} +{"type":"turn.started"} +{"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_86b31c53b9c4084b/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_86b31c53b9c4084b/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..12f0c9097db09dfa4cdc35cd7f4fe01105398db4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_86b31c53b9c4084b/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-2b9c-7bd0-99be-e7b00cb070ec"} +{"type":"turn.started"} +{"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_86b31c53b9c4084b/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_86b31c53b9c4084b/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_86b31c53b9c4084b/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_86b31c53b9c4084b/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_87d9fcdbd0e32d4b/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_87d9fcdbd0e32d4b/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7ae1fabbe3b0179876014f310e79b2e64490f2fe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_87d9fcdbd0e32d4b/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": 2139, "bytes_utf8": 2139, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16098, "cached_input_tokens": 12032, "output_tokens": 3208, "reasoning_output_tokens": 2477}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_87d9fcdbd0e32d4b/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_87d9fcdbd0e32d4b/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..b276a27d82b7e1aa069bf824a4ea10a5e0e46e63 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_87d9fcdbd0e32d4b/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_87d9fcdbd0e32d4b", + "api_calls": 0, + "input_tokens": 16098, + "cached_input_tokens": 12032, + "output_tokens": 3208, + "total_tokens": 19306, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 44938.25, + "sql_execution_elapsed_ms_total": 2384.55, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_87d9fcdbd0e32d4b/cli/conversation.jsonl", + "note": "Executed through a local 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_87d9fcdbd0e32d4b/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_87d9fcdbd0e32d4b/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..5a6cc8d5abce2fe2c9606c59b80125aedc7974e1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_87d9fcdbd0e32d4b/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:02:22.764641+00:00", + "ended_at": "2026-05-19T16:03:07.702922+00:00", + "elapsed_ms": 44938.25, + "prompt_metrics": { + "chars": 12460, + "bytes_utf8": 12460, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2864, + "bytes_utf8": 2864, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 2139, + "bytes_utf8": 2139, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16098, + "cached_input_tokens": 12032, + "output_tokens": 3208, + "reasoning_output_tokens": 2477 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_87d9fcdbd0e32d4b/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_87d9fcdbd0e32d4b/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..fee4aadc0d28fd34e19d460712f91b2a76d238db --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_87d9fcdbd0e32d4b/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_2, measure_col=bin_0.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "bin_2", + "measure_col": "bin_0", + "top_k": 12, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 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_87d9fcdbd0e32d4b/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_87d9fcdbd0e32d4b/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..0199bfca1adb1b1679e3a26fb008e5e872adeb3d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_87d9fcdbd0e32d4b/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-56b7-74b3-818c-4fab87ee0275"} +{"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_2\\\",\\n CAST(NULLIF(\\\"bin_0\\\", '') AS REAL) AS \\\"measure\\\"\\n FROM \\\"c15\\\"\\n WHERE NULLIF(\\\"bin_2\\\", '') IS NOT NULL\\n AND NULLIF(\\\"bin_0\\\", '') IS NOT NULL\\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 \\\"cleaned\\\"\\n),\\n\\\"positions\\\" AS (\\n SELECT DISTINCT\\n \\\"bin_2\\\",\\n \\\"cnt\\\",\\n 1.0 + (\\\"cnt\\\" - 1) * 0.95 AS \\\"pos\\\",\\n CAST(1.0 + (\\\"cnt\\\" - 1) * 0.95 AS INT) AS \\\"lower_rn\\\",\\n CASE\\n WHEN (1.0 + (\\\"cnt\\\" - 1) * 0.95) > CAST(1.0 + (\\\"cnt\\\" - 1) * 0.95 AS INT)\\n THEN CAST(1.0 + (\\\"cnt\\\" - 1) * 0.95 AS INT) + 1\\n ELSE CAST(1.0 + (\\\"cnt\\\" - 1) * 0.95 AS INT)\\n END AS \\\"upper_rn\\\"\\n FROM \\\"ranked\\\"\\n),\\n\\\"picked\\\" AS (\\n SELECT\\n \\\"positions\\\".\\\"bin_2\\\",\\n \\\"positions\\\".\\\"cnt\\\",\\n \\\"positions\\\".\\\"pos\\\",\\n \\\"positions\\\".\\\"lower_rn\\\",\\n \\\"positions\\\".\\\"upper_rn\\\",\\n MAX(CASE WHEN \\\"ranked\\\".\\\"rn\\\" = \\\"positions\\\".\\\"lower_rn\\\" THEN \\\"ranked\\\".\\\"measure\\\" END) AS \\\"lower_measure\\\",\\n MAX(CASE WHEN \\\"ranked\\\".\\\"rn\\\" = \\\"positions\\\".\\\"upper_rn\\\" THEN \\\"ranked\\\".\\\"measure\\\" END) AS \\\"upper_measure\\\"\\n FROM \\\"positions\\\"\\n JOIN \\\"ranked\\\"\\n ON \\\"ranked\\\".\\\"bin_2\\\" = \\\"positions\\\".\\\"bin_2\\\"\\n GROUP BY\\n \\\"positions\\\".\\\"bin_2\\\",\\n \\\"positions\\\".\\\"cnt\\\",\\n \\\"positions\\\".\\\"pos\\\",\\n \\\"positions\\\".\\\"lower_rn\\\",\\n \\\"positions\\\".\\\"upper_rn\\\"\\n)\\nSELECT\\n \\\"bin_2\\\",\\n CASE\\n WHEN \\\"upper_rn\\\" = \\\"lower_rn\\\" THEN \\\"lower_measure\\\"\\n ELSE \\\"lower_measure\\\" + (\\\"pos\\\" - \\\"lower_rn\\\") * (\\\"upper_measure\\\" - \\\"lower_measure\\\")\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"picked\\\"\\nWHERE \\\"cnt\\\" >= 5\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"Emulates PERCENTILE_CONT(0.95) in SQLite with window functions and linear interpolation for each \\\"bin_2\\\" group, casting \\\"bin_0\\\" from TEXT to REAL, excluding empty-string missing values, and enforcing the bound minimum group size of 5.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16098,"cached_input_tokens":12032,"output_tokens":3208,"reasoning_output_tokens":2477}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_87d9fcdbd0e32d4b/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_87d9fcdbd0e32d4b/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..082a1b796fa8d88ec9462009a1e807fd4ea35b59 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_87d9fcdbd0e32d4b/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"cleaned\" AS (\n SELECT\n \"bin_2\",\n CAST(NULLIF(\"bin_0\", '') AS REAL) AS \"measure\"\n FROM \"c15\"\n WHERE NULLIF(\"bin_2\", '') IS NOT NULL\n AND NULLIF(\"bin_0\", '') IS NOT NULL\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 \"cleaned\"\n),\n\"positions\" AS (\n SELECT DISTINCT\n \"bin_2\",\n \"cnt\",\n 1.0 + (\"cnt\" - 1) * 0.95 AS \"pos\",\n CAST(1.0 + (\"cnt\" - 1) * 0.95 AS INT) AS \"lower_rn\",\n CASE\n WHEN (1.0 + (\"cnt\" - 1) * 0.95) > CAST(1.0 + (\"cnt\" - 1) * 0.95 AS INT)\n THEN CAST(1.0 + (\"cnt\" - 1) * 0.95 AS INT) + 1\n ELSE CAST(1.0 + (\"cnt\" - 1) * 0.95 AS INT)\n END AS \"upper_rn\"\n FROM \"ranked\"\n),\n\"picked\" AS (\n SELECT\n \"positions\".\"bin_2\",\n \"positions\".\"cnt\",\n \"positions\".\"pos\",\n \"positions\".\"lower_rn\",\n \"positions\".\"upper_rn\",\n MAX(CASE WHEN \"ranked\".\"rn\" = \"positions\".\"lower_rn\" THEN \"ranked\".\"measure\" END) AS \"lower_measure\",\n MAX(CASE WHEN \"ranked\".\"rn\" = \"positions\".\"upper_rn\" THEN \"ranked\".\"measure\" END) AS \"upper_measure\"\n FROM \"positions\"\n JOIN \"ranked\"\n ON \"ranked\".\"bin_2\" = \"positions\".\"bin_2\"\n GROUP BY\n \"positions\".\"bin_2\",\n \"positions\".\"cnt\",\n \"positions\".\"pos\",\n \"positions\".\"lower_rn\",\n \"positions\".\"upper_rn\"\n)\nSELECT\n \"bin_2\",\n CASE\n WHEN \"upper_rn\" = \"lower_rn\" THEN \"lower_measure\"\n ELSE \"lower_measure\" + (\"pos\" - \"lower_rn\") * (\"upper_measure\" - \"lower_measure\")\n END AS \"percentile_measure\"\nFROM \"picked\"\nWHERE \"cnt\" >= 5\nORDER BY \"percentile_measure\" DESC;","notes":"Emulates PERCENTILE_CONT(0.95) in SQLite with window functions and linear interpolation for each \"bin_2\" group, casting \"bin_0\" from TEXT to REAL, excluding empty-string missing values, and enforcing the bound minimum group size of 5."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_87d9fcdbd0e32d4b/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_87d9fcdbd0e32d4b/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_8ac3764354c6aeb3/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8ac3764354c6aeb3/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..cfc588aacbde280620e3b359069b4d8928f78f65 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8ac3764354c6aeb3/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12197, "bytes_utf8": 12197, "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": 279, "bytes_utf8": 279, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16027, "cached_input_tokens": 12288, "output_tokens": 200, "reasoning_output_tokens": 123}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8ac3764354c6aeb3/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8ac3764354c6aeb3/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..f3d64af788ca91c87dc16eb6380eb7002652847a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8ac3764354c6aeb3/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_8ac3764354c6aeb3", + "api_calls": 0, + "input_tokens": 16027, + "cached_input_tokens": 12288, + "output_tokens": 200, + "total_tokens": 16227, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 7937.47, + "sql_execution_elapsed_ms_total": 340.97, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8ac3764354c6aeb3/cli/conversation.jsonl", + "note": "Executed through a local 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_8ac3764354c6aeb3/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8ac3764354c6aeb3/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..18701b81bdef22f01d88e26f68b0bcf6d5545855 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8ac3764354c6aeb3/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": "2026-05-19T15:33:41.343452+00:00", + "ended_at": "2026-05-19T15:33:49.280952+00:00", + "elapsed_ms": 7937.47, + "prompt_metrics": { + "chars": 12197, + "bytes_utf8": 12197, + "lines": 394, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 629, + "bytes_utf8": 629, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 279, + "bytes_utf8": 279, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16027, + "cached_input_tokens": 12288, + "output_tokens": 200, + "reasoning_output_tokens": 123 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8ac3764354c6aeb3/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8ac3764354c6aeb3/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..cfa1ffb157b214d239b4852de185ef6e6a5f4116 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8ac3764354c6aeb3/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=month.", + "planned_template_id": "tpl_clickbench_group_count", + "bindings": { + "group_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": 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_8ac3764354c6aeb3/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8ac3764354c6aeb3/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..3d1eeff05b556d2158ec4c97acbc71721e228f2b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8ac3764354c6aeb3/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40df-127b-7360-bf93-86c96371d1a0"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"month\\\", COUNT(*) AS row_count\\nFROM \\\"c15\\\"\\nGROUP BY \\\"month\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Uses the provided Grouped Count by Category template with group_col bound to \\\"month\\\" on the single table \\\"c15\\\".\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16027,"cached_input_tokens":12288,"output_tokens":200,"reasoning_output_tokens":123}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8ac3764354c6aeb3/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8ac3764354c6aeb3/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ef2e354d1ba895b97232bb0370abb36ff46eabd4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8ac3764354c6aeb3/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_clickbench_group_count\nSELECT \"month\", COUNT(*) AS row_count\nFROM \"c15\"\nGROUP BY \"month\"\nORDER BY row_count DESC;","notes":"Uses the provided Grouped Count by Category template with group_col bound to \"month\" 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_8ac3764354c6aeb3/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_8ac3764354c6aeb3/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_91dac80f90d11e3a/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_91dac80f90d11e3a/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..3f65020bb5e6186ba64b680ec2a0aade2089273e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_91dac80f90d11e3a/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:03:42.746556+00:00", + "ended_at": "2026-05-19T16:03:45.601686+00:00", + "elapsed_ms": 2855.11, + "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_91dac80f90d11e3a/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_91dac80f90d11e3a/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e342b632a9eb3fb777c1b0cd2319b7b73bd44567 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_91dac80f90d11e3a/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:03:46.604111+00:00", + "ended_at": "2026-05-19T16:03:50.721405+00:00", + "elapsed_ms": 4117.25, + "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_91dac80f90d11e3a/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_91dac80f90d11e3a/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..780e7c3c61835fbcd98ea98480c1d893ea9ee462 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_91dac80f90d11e3a/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_3, measure_col=bin_1.", + "planned_template_id": "tpl_grouped_percentile_point", + "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 + }, + "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_91dac80f90d11e3a/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_91dac80f90d11e3a/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..780e7c3c61835fbcd98ea98480c1d893ea9ee462 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_91dac80f90d11e3a/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_3, measure_col=bin_1.", + "planned_template_id": "tpl_grouped_percentile_point", + "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 + }, + "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_91dac80f90d11e3a/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_91dac80f90d11e3a/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..31f3e6918783768f5f3a1898c6d062bbf6032eda --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_91dac80f90d11e3a/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-8f21-70d0-a0d1-b9050d4ad872"} +{"type":"turn.started"} +{"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_91dac80f90d11e3a/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_91dac80f90d11e3a/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..125f0059a73ab134aeab978686724078e3a4ada5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_91dac80f90d11e3a/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-8f21-70d0-a0d1-b9050d4ad872"} +{"type":"turn.started"} +{"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_91dac80f90d11e3a/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_91dac80f90d11e3a/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..66a049f8b123f79aa861e111174b4ea8a684a963 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_91dac80f90d11e3a/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-9e65-7d43-8d8b-99b85649e8f3"} +{"type":"turn.started"} +{"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_91dac80f90d11e3a/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_91dac80f90d11e3a/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..585fc5cce82ca4fce55c8f30908a4aea438d4bc6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_91dac80f90d11e3a/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-9e65-7d43-8d8b-99b85649e8f3"} +{"type":"turn.started"} +{"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_91dac80f90d11e3a/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_91dac80f90d11e3a/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_91dac80f90d11e3a/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_91dac80f90d11e3a/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_94781f2d860b011b/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_94781f2d860b011b/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..bb6039afd59175aa79882bab857aa754c11de259 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_94781f2d860b011b/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": "2026-05-19T16:09:36.083139+00:00", + "ended_at": "2026-05-19T16:09:39.265784+00:00", + "elapsed_ms": 3182.61, + "returncode": 1, + "prompt_metrics": { + "chars": 12273, + "bytes_utf8": 12273, + "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_94781f2d860b011b/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_94781f2d860b011b/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..11e4557dfd4aa5d443baf8d6461caef26ac07062 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_94781f2d860b011b/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": "2026-05-19T16:09:40.267769+00:00", + "ended_at": "2026-05-19T16:09:43.187950+00:00", + "elapsed_ms": 2920.15, + "returncode": 1, + "prompt_metrics": { + "chars": 12273, + "bytes_utf8": 12273, + "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_94781f2d860b011b/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_94781f2d860b011b/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2836e83b2323f032840eeb7f7e58c456180fea26 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_94781f2d860b011b/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=day.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "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 + }, + "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_94781f2d860b011b/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_94781f2d860b011b/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..2836e83b2323f032840eeb7f7e58c456180fea26 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_94781f2d860b011b/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=day.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "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 + }, + "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_94781f2d860b011b/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_94781f2d860b011b/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..13ff72844dac996252c9d579e3109949126abae1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_94781f2d860b011b/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-f36f-7bb1-943d-bba44927604b"} +{"type":"turn.started"} +{"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_94781f2d860b011b/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_94781f2d860b011b/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2888b1e1d43f07f5f97e3e6a3e70b4ac9f44210e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_94781f2d860b011b/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-f36f-7bb1-943d-bba44927604b"} +{"type":"turn.started"} +{"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_94781f2d860b011b/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_94781f2d860b011b/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..424e816e1e5a8ee6290d664d1b022fcb66a67415 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_94781f2d860b011b/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-03b8-7642-a7ec-3b1891f8c453"} +{"type":"turn.started"} +{"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_94781f2d860b011b/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_94781f2d860b011b/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..b0439b079c392c182f24485eb8f36c9760ae8b01 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_94781f2d860b011b/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-03b8-7642-a7ec-3b1891f8c453"} +{"type":"turn.started"} +{"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_94781f2d860b011b/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_94781f2d860b011b/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_94781f2d860b011b/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_94781f2d860b011b/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/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9bb49bc1ca37956d/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..46900bf341304fdc37a822f17256292c548d0c73 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9bb49bc1ca37956d/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12282, "bytes_utf8": 12282, "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": 419, "bytes_utf8": 419, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16056, "cached_input_tokens": 12032, "output_tokens": 632, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9bb49bc1ca37956d/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9bb49bc1ca37956d/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..0626cb79f58984ae1e27b78b45307c594e0922fa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9bb49bc1ca37956d/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_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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9bb49bc1ca37956d/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a95d42c6b6450ec0a657388683cb57991e46a62c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9bb49bc1ca37956d/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:31:16.344732+00:00", + "ended_at": "2026-05-19T15:31:29.527806+00:00", + "elapsed_ms": 13183.04, + "prompt_metrics": { + "chars": 12282, + "bytes_utf8": 12282, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 777, + "bytes_utf8": 777, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_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 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_9bb49bc1ca37956d/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9bb49bc1ca37956d/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2784d9e115de6c5f2222b9adbdc19614c6299d64 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9bb49bc1ca37956d/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_1, measure_col=month.", + "planned_template_id": "tpl_h2o_group_sum", + "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 + }, + "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_9bb49bc1ca37956d/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9bb49bc1ca37956d/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..20bfa3fff50226d8c537a1d8673ca133964bebd0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9bb49bc1ca37956d/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40dc-dc10-7141-ae93-6e3a0e473baa"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"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.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16056,"cached_input_tokens":12032,"output_tokens":632,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9bb49bc1ca37956d/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9bb49bc1ca37956d/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..72c9111154eefd583a4c8d647c500ddcbcc8d070 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9bb49bc1ca37956d/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"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."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9bb49bc1ca37956d/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_9bb49bc1ca37956d/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_a01fb5dbb7a230df/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a01fb5dbb7a230df/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d7f4316ccb561f3dae9388932fe1b2a5535b43a9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a01fb5dbb7a230df/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12455, "bytes_utf8": 12455, "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": 509, "bytes_utf8": 509, "lines": 1, "estimated_tokens": null}, "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_a01fb5dbb7a230df/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a01fb5dbb7a230df/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..0f395cc1e9d96e6f64dbab6cb4216fc6cad5292d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a01fb5dbb7a230df/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_a01fb5dbb7a230df", + "api_calls": 0, + "input_tokens": 16107, + "cached_input_tokens": 14720, + "output_tokens": 430, + "total_tokens": 16537, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13958.89, + "sql_execution_elapsed_ms_total": 929.47, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a01fb5dbb7a230df/cli/conversation.jsonl", + "note": "Executed through a local 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_a01fb5dbb7a230df/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a01fb5dbb7a230df/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d3d3ec2d4be08095261bf3a81aab693a329a1bc1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a01fb5dbb7a230df/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": "2026-05-19T15:49:00.575305+00:00", + "ended_at": "2026-05-19T15:49:14.534236+00:00", + "elapsed_ms": 13958.89, + "prompt_metrics": { + "chars": 12455, + "bytes_utf8": 12455, + "lines": 394, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 885, + "bytes_utf8": 885, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 509, + "bytes_utf8": 509, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16107, + "cached_input_tokens": 14720, + "output_tokens": 430, + "reasoning_output_tokens": 279 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a01fb5dbb7a230df/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a01fb5dbb7a230df/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..db1b2afbaff60f52b1bc944d6eb5f3da5c8e0d3e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a01fb5dbb7a230df/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=id.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "bindings": { + "measure_col": "id", + "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": 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 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_a01fb5dbb7a230df/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a01fb5dbb7a230df/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..851ba32c8e72ea769fd39274472a55a8262f541d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a01fb5dbb7a230df/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"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."} \ 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_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a01fb5dbb7a230df/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_a877ac0b5e322631/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a877ac0b5e322631/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9f0b0d8a61b5c4dc7cbd712b9dfbb011515f956b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a877ac0b5e322631/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12282, "bytes_utf8": 12282, "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": 384, "bytes_utf8": 384, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16060, "cached_input_tokens": 12032, "output_tokens": 364, "reasoning_output_tokens": 254}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a877ac0b5e322631/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a877ac0b5e322631/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..e3af6b3b0ad764fb668dd7db3df484f211e497d1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a877ac0b5e322631/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_a877ac0b5e322631", + "api_calls": 0, + "input_tokens": 16060, + "cached_input_tokens": 12032, + "output_tokens": 364, + "total_tokens": 16424, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9669.32, + "sql_execution_elapsed_ms_total": 307.86, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a877ac0b5e322631/cli/conversation.jsonl", + "note": "Executed through a local 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_a877ac0b5e322631/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a877ac0b5e322631/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b3c66b95e41277d47a4a37f4693be054786ae8cc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a877ac0b5e322631/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": "2026-05-19T15:29:12.997806+00:00", + "ended_at": "2026-05-19T15:29:22.667160+00:00", + "elapsed_ms": 9669.32, + "prompt_metrics": { + "chars": 12282, + "bytes_utf8": 12282, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 738, + "bytes_utf8": 738, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 384, + "bytes_utf8": 384, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16060, + "cached_input_tokens": 12032, + "output_tokens": 364, + "reasoning_output_tokens": 254 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_a877ac0b5e322631/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a877ac0b5e322631/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ef88a145a472dc198f41e17b56a825213ea35c83 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a877ac0b5e322631/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_2, measure_col=bin_1.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "bin_2", + "measure_col": "bin_1", + "top_k": 17, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 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_a877ac0b5e322631/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a877ac0b5e322631/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..cb5c3c564be033be877c99cef9e2df61424845b8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a877ac0b5e322631/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40da-fa2a-7731-bb32-7040ed7f7633"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"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 required grouped numeric sum template with group_col=\\\"bin_2\\\" and measure_col=\\\"bin_1\\\". NULLIF and CAST make the SUM SQLite-safe for TEXT storage and empty-string missing values.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16060,"cached_input_tokens":12032,"output_tokens":364,"reasoning_output_tokens":254}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a877ac0b5e322631/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a877ac0b5e322631/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d75670f0a7e9d605812fedc629c960d577f49358 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a877ac0b5e322631/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"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 required grouped numeric sum template with group_col=\"bin_2\" and measure_col=\"bin_1\". NULLIF and CAST make the SUM SQLite-safe for TEXT storage and empty-string missing values."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a877ac0b5e322631/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a877ac0b5e322631/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_a90491ff0c108595/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a90491ff0c108595/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7f6ca6309963c291d52b9bc34fa83bad666a4265 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a90491ff0c108595/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": "2026-05-19T16:07:56.469150+00:00", + "ended_at": "2026-05-19T16:07:59.367814+00:00", + "elapsed_ms": 2898.63, + "returncode": 1, + "prompt_metrics": { + "chars": 12222, + "bytes_utf8": 12222, + "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_a90491ff0c108595/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a90491ff0c108595/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c7b6b1561b41489ea2645016ac9a42e990352d6d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a90491ff0c108595/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": "2026-05-19T16:08:00.370167+00:00", + "ended_at": "2026-05-19T16:08:03.477930+00:00", + "elapsed_ms": 3107.72, + "returncode": 1, + "prompt_metrics": { + "chars": 12222, + "bytes_utf8": 12222, + "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_a90491ff0c108595/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a90491ff0c108595/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3e4055b8eaeb8e4dcdc1383f2b2a34f63a4879d6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a90491ff0c108595/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=month.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "month", + "top_k": 11, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 9.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a90491ff0c108595/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a90491ff0c108595/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..3e4055b8eaeb8e4dcdc1383f2b2a34f63a4879d6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a90491ff0c108595/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=month.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "month", + "top_k": 11, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 9.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_a90491ff0c108595/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a90491ff0c108595/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..640132c2685a3fbc24843ebb6acaa2f532b16b3d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a90491ff0c108595/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-6e4b-7a83-b759-a11bed90f637"} +{"type":"turn.started"} +{"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_a90491ff0c108595/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a90491ff0c108595/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..79e87352fd6ba4382d5203f102dd937a6989d317 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a90491ff0c108595/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-6e4b-7a83-b759-a11bed90f637"} +{"type":"turn.started"} +{"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_a90491ff0c108595/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a90491ff0c108595/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c0d96ba5c9178ed6b86a9509819f0ecec0a5bdf3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a90491ff0c108595/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-7d8b-7b92-a0e6-9da28a38c3c9"} +{"type":"turn.started"} +{"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_a90491ff0c108595/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a90491ff0c108595/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..fc68bba7b45ddf0a487ddca44fe23895caf8642f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a90491ff0c108595/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-7d8b-7b92-a0e6-9da28a38c3c9"} +{"type":"turn.started"} +{"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_a90491ff0c108595/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a90491ff0c108595/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_a90491ff0c108595/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_a90491ff0c108595/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_abe5a22c94be437f/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_abe5a22c94be437f/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..d6a88e1b1bcd946c5eab90ff6dc2a4d304c7d043 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_abe5a22c94be437f/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e0-cf67-74e0-8da2-32c73a0fe426"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"nom_2\\\", \\\"nom_6\\\",\\n SUM(CAST(NULLIF(\\\"ord_0\\\", '') AS REAL)) AS total_measure,\\n SUM(CAST(NULLIF(\\\"ord_0\\\", '') AS REAL)) * 100.0 / SUM(SUM(CAST(NULLIF(\\\"ord_0\\\", '') AS REAL))) OVER (PARTITION BY \\\"nom_2\\\") AS share_within_group\\nFROM \\\"c15\\\"\\nWHERE NULLIF(\\\"nom_2\\\", '') IS NOT NULL\\n AND NULLIF(\\\"nom_6\\\", '') IS NOT NULL\\n AND NULLIF(\\\"ord_0\\\", '') IS NOT NULL\\nGROUP BY \\\"nom_2\\\", \\\"nom_6\\\"\\nHAVING COUNT(*) >= 5\\nORDER BY share_within_group DESC;\",\"notes\":\"Uses the requested template with group_col=\\\"nom_2\\\", item_col=\\\"nom_6\\\", and measure_col=\\\"ord_0\\\". Since \\\"ord_0\\\" is stored as TEXT, blank strings are filtered and values are cast to REAL before summation.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16179,"cached_input_tokens":12032,"output_tokens":1882,"reasoning_output_tokens":1642}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ac0fd896905f0cab/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ac0fd896905f0cab/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..2221d3af659aa8af897cee7a7809ab46dc5dd1b5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ac0fd896905f0cab/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": "2026-05-19T16:12:45.876532+00:00", + "ended_at": "2026-05-19T16:12:49.059794+00:00", + "elapsed_ms": 3183.23, + "returncode": 1, + "prompt_metrics": { + "chars": 12365, + "bytes_utf8": 12365, + "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_ac0fd896905f0cab/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ac0fd896905f0cab/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..2bcaa512923f159866eb101f234e900db027db4a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ac0fd896905f0cab/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": "2026-05-19T16:12:50.062295+00:00", + "ended_at": "2026-05-19T16:12:53.149298+00:00", + "elapsed_ms": 3086.96, + "returncode": 1, + "prompt_metrics": { + "chars": 12365, + "bytes_utf8": 12365, + "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_ac0fd896905f0cab/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ac0fd896905f0cab/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1bbf721767b3682d662c6d616fb55456a78331b5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ac0fd896905f0cab/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_4, measure_col=id.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "ord_4", + "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 + }, + "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_ac0fd896905f0cab/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ac0fd896905f0cab/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..1bbf721767b3682d662c6d616fb55456a78331b5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ac0fd896905f0cab/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_4, measure_col=id.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "ord_4", + "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 + }, + "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_ac0fd896905f0cab/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ac0fd896905f0cab/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..d17c39e5d3cdd8447bf7884dd8f6f20e9ffefd02 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ac0fd896905f0cab/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-d8bd-7c31-9a64-5b72d831b195"} +{"type":"turn.started"} +{"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_ac0fd896905f0cab/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ac0fd896905f0cab/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d981f0c40f9ddd537ca1fb53818c69b4d0e0cee4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ac0fd896905f0cab/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-d8bd-7c31-9a64-5b72d831b195"} +{"type":"turn.started"} +{"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_ac0fd896905f0cab/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ac0fd896905f0cab/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..8e7a31e55986b60665ca03d81795c967a3143133 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ac0fd896905f0cab/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-e91c-7033-adb4-bd3adbaf8553"} +{"type":"turn.started"} +{"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_ac0fd896905f0cab/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ac0fd896905f0cab/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..90977985046c65b4487126e028252433e3686874 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ac0fd896905f0cab/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-e91c-7033-adb4-bd3adbaf8553"} +{"type":"turn.started"} +{"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_ac0fd896905f0cab/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ac0fd896905f0cab/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_ac0fd896905f0cab/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ac0fd896905f0cab/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_ad556163c450010a/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ad556163c450010a/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..705e6dea80ae4745a84ab1ed17c9c014ecb352e3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ad556163c450010a/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12279, "bytes_utf8": 12279, "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": 399, "bytes_utf8": 399, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16056, "cached_input_tokens": 15744, "output_tokens": 347, "reasoning_output_tokens": 234}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ad556163c450010a/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ad556163c450010a/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..1442c8974fbfe089ad0c9b31237484fc966f2cc4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ad556163c450010a/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_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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ad556163c450010a/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..8c9f9ea4a9e691982bddd03ae202fd259e2cfcfd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ad556163c450010a/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": "2026-05-19T15:30:52.279294+00:00", + "ended_at": "2026-05-19T15:31:01.508372+00:00", + "elapsed_ms": 9229.04, + "prompt_metrics": { + "chars": 12279, + "bytes_utf8": 12279, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 765, + "bytes_utf8": 765, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_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 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_ad556163c450010a/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ad556163c450010a/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6009631d633923543d7e42230a11fb3481f501aa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ad556163c450010a/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": 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 + }, + "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_ad556163c450010a/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ad556163c450010a/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e6d0936bbb374986ab37f786dcbee0ff8e36e267 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ad556163c450010a/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40dc-7e28-7a63-94db-691ced2d41f3"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"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.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16056,"cached_input_tokens":15744,"output_tokens":347,"reasoning_output_tokens":234}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ad556163c450010a/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ad556163c450010a/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6ffdcc187b3ac7d323dba15a9017e25d7fe7e4ad --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ad556163c450010a/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"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."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ad556163c450010a/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ad556163c450010a/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_ae6cd7c012ed57c8/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ae6cd7c012ed57c8/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..42c6af7409684f3668b05b22b2af5fcf4e3a78bf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ae6cd7c012ed57c8/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12456, "bytes_utf8": 12456, "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": 542, "bytes_utf8": 542, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16111, "cached_input_tokens": 15744, "output_tokens": 438, "reasoning_output_tokens": 275}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ae6cd7c012ed57c8/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ae6cd7c012ed57c8/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..50ee92c017753b780279f29eda605fe46880c745 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ae6cd7c012ed57c8/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_ae6cd7c012ed57c8", + "api_calls": 0, + "input_tokens": 16111, + "cached_input_tokens": 15744, + "output_tokens": 438, + "total_tokens": 16549, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14441.54, + "sql_execution_elapsed_ms_total": 1003.53, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ae6cd7c012ed57c8/cli/conversation.jsonl", + "note": "Executed through a local 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_ae6cd7c012ed57c8/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ae6cd7c012ed57c8/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..68f5b62adffb28ac9715192a2e8ebf019c836b5d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ae6cd7c012ed57c8/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:50:05.343520+00:00", + "ended_at": "2026-05-19T15:50:19.785098+00:00", + "elapsed_ms": 14441.54, + "prompt_metrics": { + "chars": 12456, + "bytes_utf8": 12456, + "lines": 394, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 910, + "bytes_utf8": 910, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 542, + "bytes_utf8": 542, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16111, + "cached_input_tokens": 15744, + "output_tokens": 438, + "reasoning_output_tokens": 275 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_ae6cd7c012ed57c8/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ae6cd7c012ed57c8/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..affffd9074959d5e37096fcc2ff574a53e5831cf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ae6cd7c012ed57c8/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": 12, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2.5, + "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_ae6cd7c012ed57c8/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ae6cd7c012ed57c8/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..03701172c1478b633321199908686a2e1a45542b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ae6cd7c012ed57c8/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ee-163e-7630-a3dc-202e7ead50b5"} +{"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\":\"Applied the Quantile Tail Slice template with measure_col bound to \\\"ord_0\\\" and num_tiles=10. Empty-string and NULL values are excluded so the tail bucket reflects numeric ord_0 values.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16111,"cached_input_tokens":15744,"output_tokens":438,"reasoning_output_tokens":275}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ae6cd7c012ed57c8/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ae6cd7c012ed57c8/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..44a8197aaf454289365db83dd13c2b9344fb6faf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ae6cd7c012ed57c8/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":"Applied the Quantile Tail Slice template with measure_col bound to \"ord_0\" and num_tiles=10. Empty-string and NULL values are excluded so the tail bucket reflects numeric ord_0 values."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ae6cd7c012ed57c8/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ae6cd7c012ed57c8/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_afcf27928ba29b72/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_afcf27928ba29b72/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f9d7b19d02c4af959d3788d74bd0b7b18fba163a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_afcf27928ba29b72/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12549, "bytes_utf8": 12549, "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": 12549, "bytes_utf8": 12549, "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": 370, "bytes_utf8": 370, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16123, "cached_input_tokens": 12032, "output_tokens": 467, "reasoning_output_tokens": 358}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_afcf27928ba29b72/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_afcf27928ba29b72/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a8dc0b10851741baffa26c47874c8f615afd6681 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_afcf27928ba29b72/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_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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_afcf27928ba29b72/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f9e58553606a544d2035bd0b848c8319a739b985 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_afcf27928ba29b72/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:05:12.140506+00:00", + "ended_at": "2026-05-19T16:05:16.036966+00:00", + "elapsed_ms": 3896.43, + "returncode": 1, + "prompt_metrics": { + "chars": 12549, + "bytes_utf8": 12549, + "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_afcf27928ba29b72/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_afcf27928ba29b72/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..bfa2d9b384a99e8fd0a31de538dd03cae40a5444 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_afcf27928ba29b72/cli/sql_attempt_2.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:05:17.038540+00:00", + "ended_at": "2026-05-19T16:05:27.399445+00:00", + "elapsed_ms": 10360.88, + "prompt_metrics": { + "chars": 12549, + "bytes_utf8": 12549, + "lines": 399, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 721, + "bytes_utf8": 721, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 370, + "bytes_utf8": 370, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16123, + "cached_input_tokens": 12032, + "output_tokens": 467, + "reasoning_output_tokens": 358 + } + }, + "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_afcf27928ba29b72/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_afcf27928ba29b72/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ffe99e17af1b230f28a27db10d20111907b2dea7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_afcf27928ba29b72/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=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": "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 + }, + "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_afcf27928ba29b72/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_afcf27928ba29b72/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..ffe99e17af1b230f28a27db10d20111907b2dea7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_afcf27928ba29b72/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=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": "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 + }, + "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_afcf27928ba29b72/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_afcf27928ba29b72/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..2dc415e9051ee21f1b1d42d896da3f81d82426c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_afcf27928ba29b72/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-ec5b-7b63-b8c9-f252c9f8f842"} +{"type":"turn.started"} +{"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_afcf27928ba29b72/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_afcf27928ba29b72/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a45300431950c6da04d1a87cc4e7f3d3eba9bf5c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_afcf27928ba29b72/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-ec5b-7b63-b8c9-f252c9f8f842"} +{"type":"turn.started"} +{"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_afcf27928ba29b72/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_afcf27928ba29b72/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..8a0948450eb52f1933dcc22be718fabb92d76901 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_afcf27928ba29b72/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-ffa3-7bc2-92db-e17840fee9c1"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"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'.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16123,"cached_input_tokens":12032,"output_tokens":467,"reasoning_output_tokens":358}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_afcf27928ba29b72/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_afcf27928ba29b72/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..9e8de06d624f41141e56009b353223a356e1db7e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_afcf27928ba29b72/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"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'."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_afcf27928ba29b72/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_afcf27928ba29b72/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_afcf27928ba29b72/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_afcf27928ba29b72/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_b0a24034dc9a46af/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b0a24034dc9a46af/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5cc033048acbcae8021d070b1767d7d3755f7e49 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b0a24034dc9a46af/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": 403, "bytes_utf8": 403, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16060, "cached_input_tokens": 15744, "output_tokens": 507, "reasoning_output_tokens": 389}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b0a24034dc9a46af/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b0a24034dc9a46af/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..2d5b5a2d21a1ec442d62442e1b84bf819525d912 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b0a24034dc9a46af/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_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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b0a24034dc9a46af/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..474115445b6ade6ff90a18923785bb0838c02e6e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b0a24034dc9a46af/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": "2026-05-19T15:29:23.009569+00:00", + "ended_at": "2026-05-19T15:29:34.712043+00:00", + "elapsed_ms": 11702.39, + "prompt_metrics": { + "chars": 12280, + "bytes_utf8": 12280, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 761, + "bytes_utf8": 761, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 403, + "bytes_utf8": 403, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16060, + "cached_input_tokens": 15744, + "output_tokens": 507, + "reasoning_output_tokens": 389 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_b0a24034dc9a46af/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b0a24034dc9a46af/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3e15a954509d41813c33e38cb177e905c14464f8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b0a24034dc9a46af/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": 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": "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_b0a24034dc9a46af/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b0a24034dc9a46af/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f22f1e2fc66315cfaf5fc82e2ac2133a12d4bde4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b0a24034dc9a46af/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40db-2155-7901-8a11-e125d677126a"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"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.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16060,"cached_input_tokens":15744,"output_tokens":507,"reasoning_output_tokens":389}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b0a24034dc9a46af/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b0a24034dc9a46af/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8eb7c16102a91e18d4c8e7c2ea69441274fcbe82 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b0a24034dc9a46af/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"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."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b0a24034dc9a46af/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b0a24034dc9a46af/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/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b7c595ada0d7256d/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ff3dd09f530e13eba11ea43b5f7e741cb87b88f1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b7c595ada0d7256d/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": 287, "bytes_utf8": 287, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16031, "cached_input_tokens": 12032, "output_tokens": 372, "reasoning_output_tokens": 285}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b7c595ada0d7256d/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b7c595ada0d7256d/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..7c4e5a6654e4c685bfa126c2b51a21cea56a2871 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b7c595ada0d7256d/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_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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b7c595ada0d7256d/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e5cc7a9fc4996cdf00694df26d690882284a1d0a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b7c595ada0d7256d/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:34:24.143349+00:00", + "ended_at": "2026-05-19T15:34:34.149403+00:00", + "elapsed_ms": 10006.02, + "prompt_metrics": { + "chars": 12195, + "bytes_utf8": 12195, + "lines": 394, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 645, + "bytes_utf8": 645, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 287, + "bytes_utf8": 287, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16031, + "cached_input_tokens": 12032, + "output_tokens": 372, + "reasoning_output_tokens": 285 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b7c595ada0d7256d/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b7c595ada0d7256d/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e222ba8817ca0680edddd09c163a11a9be461496 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b7c595ada0d7256d/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=bin_1.", + "planned_template_id": "tpl_clickbench_group_count", + "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 + }, + "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_b7c595ada0d7256d/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b7c595ada0d7256d/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6244a8eac1f69f1e0a5bc867b10f1f3ddbd75984 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b7c595ada0d7256d/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40df-b997-77b0-a7c7-78df0cfe0838"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"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\\\".\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16031,"cached_input_tokens":12032,"output_tokens":372,"reasoning_output_tokens":285}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b7c595ada0d7256d/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b7c595ada0d7256d/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..33419f68ea5e4cc57d476da6b9c765f86b7cd616 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b7c595ada0d7256d/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"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\"."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b7c595ada0d7256d/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b7c595ada0d7256d/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_b8a3268ef3626884/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b8a3268ef3626884/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b7d24e585e835bdb9344e48fbe80f2d0678d5d64 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b8a3268ef3626884/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": 701, "bytes_utf8": 701, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16180, "cached_input_tokens": 12032, "output_tokens": 1073, "reasoning_output_tokens": 848}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b8a3268ef3626884/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b8a3268ef3626884/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..39213139ea555114e69c5cbd9d9d8c6ffb92f2bd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b8a3268ef3626884/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_b8a3268ef3626884", + "api_calls": 0, + "input_tokens": 16180, + "cached_input_tokens": 12032, + "output_tokens": 1073, + "total_tokens": 17253, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 21363.96, + "sql_execution_elapsed_ms_total": 726.66, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b8a3268ef3626884/cli/conversation.jsonl", + "note": "Executed through a local 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_b8a3268ef3626884/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b8a3268ef3626884/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..835a6e5399736d53348045a88025ae79886b613f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b8a3268ef3626884/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:34:34.414884+00:00", + "ended_at": "2026-05-19T15:34:55.778871+00:00", + "elapsed_ms": 21363.96, + "prompt_metrics": { + "chars": 12688, + "bytes_utf8": 12688, + "lines": 398, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1094, + "bytes_utf8": 1094, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 701, + "bytes_utf8": 701, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16180, + "cached_input_tokens": 12032, + "output_tokens": 1073, + "reasoning_output_tokens": 848 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_b8a3268ef3626884/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b8a3268ef3626884/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f97b436a005da16e621438fa69c3902d7f92eb98 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b8a3268ef3626884/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=nom_1, measure_col=bin_2.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "nom_1", + "measure_col": "bin_2", + "item_col": "nom_5", + "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 + }, + "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_b8a3268ef3626884/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b8a3268ef3626884/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ec787910349c71c60980800f71f7eda2232aff53 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b8a3268ef3626884/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40df-e1b0-7681-9f2f-8824b0969d42"} +{"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_1\\\",\\n \\\"nom_5\\\",\\n SUM(CAST(NULLIF(\\\"bin_2\\\", '') AS REAL)) AS total_measure,\\n SUM(CAST(NULLIF(\\\"bin_2\\\", '') AS REAL)) * 100.0 / NULLIF(SUM(SUM(CAST(NULLIF(\\\"bin_2\\\", '') AS REAL))) OVER (PARTITION BY \\\"nom_1\\\"), 0) AS share_within_group\\nFROM \\\"c15\\\"\\nWHERE NULLIF(\\\"bin_2\\\", '') IS NOT NULL\\nGROUP BY \\\"nom_1\\\", \\\"nom_5\\\"\\nORDER BY share_within_group DESC\\nLIMIT 14;\",\"notes\":\"Uses the planned within-group share template with group_col=\\\"nom_1\\\", item_col=\\\"nom_5\\\", and measure_col=\\\"bin_2\\\". Since \\\"bin_2\\\" is stored as TEXT, the query casts non-empty values to REAL before summing and excludes empty-string measures.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16180,"cached_input_tokens":12032,"output_tokens":1073,"reasoning_output_tokens":848}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b8a3268ef3626884/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b8a3268ef3626884/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..415a3a17ddd44370416242667322a4b295e14b7c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b8a3268ef3626884/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"nom_1\",\n \"nom_5\",\n SUM(CAST(NULLIF(\"bin_2\", '') AS REAL)) AS total_measure,\n SUM(CAST(NULLIF(\"bin_2\", '') AS REAL)) * 100.0 / NULLIF(SUM(SUM(CAST(NULLIF(\"bin_2\", '') AS REAL))) OVER (PARTITION BY \"nom_1\"), 0) AS share_within_group\nFROM \"c15\"\nWHERE NULLIF(\"bin_2\", '') IS NOT NULL\nGROUP BY \"nom_1\", \"nom_5\"\nORDER BY share_within_group DESC\nLIMIT 14;","notes":"Uses the planned within-group share template with group_col=\"nom_1\", item_col=\"nom_5\", and measure_col=\"bin_2\". Since \"bin_2\" is stored as TEXT, the query casts non-empty values to REAL before summing and excludes empty-string measures."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b8a3268ef3626884/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_b8a3268ef3626884/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_bc4747d4b4924c99/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_bc4747d4b4924c99/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b6936963ec561b38c0d7407399dda5d9fd57e0bb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_bc4747d4b4924c99/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12835, "bytes_utf8": 12835, "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": 12835, "bytes_utf8": 12835, "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": 829, "bytes_utf8": 829, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16198, "cached_input_tokens": 14720, "output_tokens": 757, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_bc4747d4b4924c99/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_bc4747d4b4924c99/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..15fef3556fa8a69c4a113865897be27471d6337e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_bc4747d4b4924c99/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_bc4747d4b4924c99", + "api_calls": 0, + "input_tokens": 16198, + "cached_input_tokens": 14720, + "output_tokens": 757, + "total_tokens": 16955, + "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": 17085.71, + "sql_execution_elapsed_ms_total": 374.22, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_bc4747d4b4924c99/cli/conversation.jsonl", + "note": "Executed through a local 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_bc4747d4b4924c99/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_bc4747d4b4924c99/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1058c6be5dbfdc2d6e75a71d6ae7030c426160cb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_bc4747d4b4924c99/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": "2026-05-19T15:54:58.584601+00:00", + "ended_at": "2026-05-19T15:55:02.162882+00:00", + "elapsed_ms": 3578.25, + "returncode": 1, + "prompt_metrics": { + "chars": 12835, + "bytes_utf8": 12835, + "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_bc4747d4b4924c99/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_bc4747d4b4924c99/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ec23bd87ba9a45867cf152f29a1a2b33e76469a2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_bc4747d4b4924c99/cli/sql_attempt_2.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:55:03.165396+00:00", + "ended_at": "2026-05-19T15:55:16.672905+00:00", + "elapsed_ms": 13507.46, + "prompt_metrics": { + "chars": 12835, + "bytes_utf8": 12835, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1227, + "bytes_utf8": 1227, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 829, + "bytes_utf8": 829, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16198, + "cached_input_tokens": 14720, + "output_tokens": 757, + "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_bc4747d4b4924c99/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_bc4747d4b4924c99/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6222c25cc92d79077fa733e08ac8f80e6934c120 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_bc4747d4b4924c99/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_4, measure_col=ord_0.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "nom_4", + "measure_col": "ord_0", + "top_k": 11, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2.5, + "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_bc4747d4b4924c99/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_bc4747d4b4924c99/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..6222c25cc92d79077fa733e08ac8f80e6934c120 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_bc4747d4b4924c99/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_4, measure_col=ord_0.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "nom_4", + "measure_col": "ord_0", + "top_k": 11, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2.5, + "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_bc4747d4b4924c99/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_bc4747d4b4924c99/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..080b8a16c0f27c950092266b73b9c5e9aa315fc8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_bc4747d4b4924c99/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f2-8fd1-7623-9fed-0b4f20b5e863"} +{"type":"turn.started"} +{"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_bc4747d4b4924c99/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_bc4747d4b4924c99/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d889b94d7ca8f43c2180e58756ed5432b0b12465 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_bc4747d4b4924c99/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f2-8fd1-7623-9fed-0b4f20b5e863"} +{"type":"turn.started"} +{"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_bc4747d4b4924c99/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_bc4747d4b4924c99/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..79046dcf37c0ae20bfc973857862c58a7490d5af --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_bc4747d4b4924c99/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f2-a1a5-7f00-a7a7-14e19f289ed4"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH filtered AS (\\n SELECT\\n \\\"nom_4\\\",\\n CAST(NULLIF(\\\"ord_0\\\", '') AS REAL) AS \\\"ord_0_value\\\"\\n FROM \\\"c15\\\"\\n WHERE NULLIF(\\\"nom_4\\\", '') IS NOT NULL\\n AND NULLIF(\\\"ord_0\\\", '') IS NOT NULL\\n), grouped AS (\\n SELECT \\\"nom_4\\\", SUM(\\\"ord_0_value\\\") AS group_value\\n FROM filtered\\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 * 0.1\\nORDER BY g.group_value DESC;\",\"notes\":\"Applied the planned template with group_col=\\\"nom_4\\\" and measure_col=\\\"ord_0\\\". Blank values in both columns are filtered out, and \\\"ord_0\\\" is cast to REAL for SQLite-safe aggregation.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16198,"cached_input_tokens":14720,"output_tokens":757,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_bc4747d4b4924c99/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_bc4747d4b4924c99/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..6a373f0e39432be18d3c27f04e0f2956cb6034c1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_bc4747d4b4924c99/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH filtered AS (\n SELECT\n \"nom_4\",\n CAST(NULLIF(\"ord_0\", '') AS REAL) AS \"ord_0_value\"\n FROM \"c15\"\n WHERE NULLIF(\"nom_4\", '') IS NOT NULL\n AND NULLIF(\"ord_0\", '') IS NOT NULL\n), grouped AS (\n SELECT \"nom_4\", SUM(\"ord_0_value\") AS group_value\n FROM filtered\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 * 0.1\nORDER BY g.group_value DESC;","notes":"Applied the planned template with group_col=\"nom_4\" and measure_col=\"ord_0\". Blank values in both columns are filtered out, and \"ord_0\" is cast to REAL 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_bc4747d4b4924c99/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_bc4747d4b4924c99/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_bc4747d4b4924c99/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_bc4747d4b4924c99/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_bcc203c3ed82cf69/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_bcc203c3ed82cf69/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f6960bd22bcc35ca0a4d6021f962760f7402731c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_bcc203c3ed82cf69/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12595, "bytes_utf8": 12595, "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": 372, "bytes_utf8": 372, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16154, "cached_input_tokens": 14720, "output_tokens": 635, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_bcc203c3ed82cf69/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_bcc203c3ed82cf69/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..3678f55c550c699bce66bce4f1c9f0f56d1501b8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_bcc203c3ed82cf69/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_bcc203c3ed82cf69", + "api_calls": 0, + "input_tokens": 16154, + "cached_input_tokens": 14720, + "output_tokens": 635, + "total_tokens": 16789, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13236.78, + "sql_execution_elapsed_ms_total": 116.77, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_bcc203c3ed82cf69/cli/conversation.jsonl", + "note": "Executed through a local 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_bcc203c3ed82cf69/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_bcc203c3ed82cf69/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6c3313af76768d64abe7947d936c8a2fa697d802 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_bcc203c3ed82cf69/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": "2026-05-19T15:48:03.970886+00:00", + "ended_at": "2026-05-19T15:48:17.207709+00:00", + "elapsed_ms": 13236.78, + "prompt_metrics": { + "chars": 12595, + "bytes_utf8": 12595, + "lines": 400, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 739, + "bytes_utf8": 739, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 372, + "bytes_utf8": 372, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16154, + "cached_input_tokens": 14720, + "output_tokens": 635, + "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_bcc203c3ed82cf69/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_bcc203c3ed82cf69/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..cd4e70f7076de5d6d8cfa76d072e7d456d30c446 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_bcc203c3ed82cf69/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_2.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "bin_3", + "group_col_2": "ord_2", + "predicate_col": "nom_0", + "predicate_op": "=", + "predicate_value": "Green", + "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": 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_bcc203c3ed82cf69/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_bcc203c3ed82cf69/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..7974ed30123bf647fed6273465b70640956f3c7e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_bcc203c3ed82cf69/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ec-3c93-70a1-8c2d-d0db66355ae1"} +{"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_2\\\", COUNT(*) AS row_count\\nFROM \\\"c15\\\"\\nWHERE \\\"nom_0\\\" = 'Green'\\nGROUP BY \\\"bin_3\\\", \\\"ord_2\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Instantiated the provided filtered two-dimensional group count template with group_col=\\\"bin_3\\\", group_col_2=\\\"ord_2\\\", and predicate \\\"nom_0\\\" = 'Green'.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16154,"cached_input_tokens":14720,"output_tokens":635,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_bcc203c3ed82cf69/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_bcc203c3ed82cf69/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..fa0563166b3ab791ed71a648bc9a45acf21d98e3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_bcc203c3ed82cf69/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"bin_3\", \"ord_2\", COUNT(*) AS row_count\nFROM \"c15\"\nWHERE \"nom_0\" = 'Green'\nGROUP BY \"bin_3\", \"ord_2\"\nORDER BY row_count DESC;","notes":"Instantiated the provided filtered two-dimensional group count template with group_col=\"bin_3\", group_col_2=\"ord_2\", and predicate \"nom_0\" = 'Green'."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_bcc203c3ed82cf69/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_bcc203c3ed82cf69/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_be3b3d929fd1e101/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_be3b3d929fd1e101/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..616c6e7808dfb27ea5d62556728ac935236f80c1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_be3b3d929fd1e101/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": 545, "bytes_utf8": 545, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16175, "cached_input_tokens": 12032, "output_tokens": 684, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_be3b3d929fd1e101/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_be3b3d929fd1e101/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..71a0e96f51cd3e24a124e773a90d880634913b20 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_be3b3d929fd1e101/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_be3b3d929fd1e101", + "api_calls": 0, + "input_tokens": 16175, + "cached_input_tokens": 12032, + "output_tokens": 684, + "total_tokens": 16859, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14342.17, + "sql_execution_elapsed_ms_total": 656.13, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_be3b3d929fd1e101/cli/conversation.jsonl", + "note": "Executed through a local 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_be3b3d929fd1e101/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_be3b3d929fd1e101/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..3f0dcb4a3bfb476d81f0ceaa89d095baa4ce9524 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_be3b3d929fd1e101/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:37:24.451886+00:00", + "ended_at": "2026-05-19T15:37:38.794094+00:00", + "elapsed_ms": 14342.17, + "prompt_metrics": { + "chars": 12682, + "bytes_utf8": 12682, + "lines": 398, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 929, + "bytes_utf8": 929, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 545, + "bytes_utf8": 545, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16175, + "cached_input_tokens": 12032, + "output_tokens": 684, + "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_be3b3d929fd1e101/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_be3b3d929fd1e101/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0a3f959fc91225cd0b824730f3f02aefd0366ef2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_be3b3d929fd1e101/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_4, measure_col=month.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "nom_4", + "measure_col": "month", + "item_col": "nom_8", + "top_k": 12, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 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_be3b3d929fd1e101/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_be3b3d929fd1e101/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..9377a0b1a5c6351c9f043f56ec55d5ccae4dbd0e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_be3b3d929fd1e101/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e2-79f2-77b3-93d9-59137204c766"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"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\\\"\\nGROUP BY \\\"nom_4\\\", \\\"nom_8\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the provided template with group_col=\\\"nom_4\\\", item_col=\\\"nom_8\\\", and measure_col=\\\"month\\\". CAST(\\\"month\\\" AS REAL) is used because the schema stores it as TEXT in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16175,"cached_input_tokens":12032,"output_tokens":684,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_be3b3d929fd1e101/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_be3b3d929fd1e101/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2c97679bc54bfb5f5fbb58c248ed98e4d2fc472a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_be3b3d929fd1e101/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"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\"\nGROUP BY \"nom_4\", \"nom_8\"\nORDER BY share_within_group DESC;","notes":"Applied the provided template with group_col=\"nom_4\", item_col=\"nom_8\", and measure_col=\"month\". CAST(\"month\" AS REAL) is used because the schema stores it as TEXT in SQLite."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_be3b3d929fd1e101/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_be3b3d929fd1e101/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_bf375580a59c5671/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_bf375580a59c5671/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7bc579688b9ca1019bf424f421917f1b9f2b15d9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_bf375580a59c5671/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": 660, "bytes_utf8": 660, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16196, "cached_input_tokens": 12032, "output_tokens": 700, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_bf375580a59c5671/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_bf375580a59c5671/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..d38f90995c985bc550116b4888bd7787f3a52df6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_bf375580a59c5671/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_bf375580a59c5671", + "api_calls": 0, + "input_tokens": 16196, + "cached_input_tokens": 12032, + "output_tokens": 700, + "total_tokens": 16896, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15614.12, + "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_bf375580a59c5671/cli/conversation.jsonl", + "note": "Executed through a local 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_bf375580a59c5671/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_bf375580a59c5671/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..176c45255986be850ad41510082bb064f49cfdd3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_bf375580a59c5671/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": "2026-05-19T15:51:31.607004+00:00", + "ended_at": "2026-05-19T15:51:47.221156+00:00", + "elapsed_ms": 15614.12, + "prompt_metrics": { + "chars": 12837, + "bytes_utf8": 12837, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1029, + "bytes_utf8": 1029, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 660, + "bytes_utf8": 660, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16196, + "cached_input_tokens": 12032, + "output_tokens": 700, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_bf375580a59c5671/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_bf375580a59c5671/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3455c6cbf6232db9e3330b500f87886ae7f150dd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_bf375580a59c5671/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_1, measure_col=bin_2.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "bin_1", + "measure_col": "bin_2", + "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": "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_bf375580a59c5671/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_bf375580a59c5671/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..2e844710ef9ec6b79520afc9ddfb7ce8e58804bc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_bf375580a59c5671/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ef-6715-7193-9aac-4bdf84bf3e8c"} +{"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 GROUP BY \\\"bin_1\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"bin_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 template with group_col=\\\"bin_1\\\" and measure_col=\\\"bin_2\\\". Since the schema stores values as TEXT, the measure is cast to REAL and empty strings are converted to NULL before SUM().\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16196,"cached_input_tokens":12032,"output_tokens":700,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_bf375580a59c5671/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_bf375580a59c5671/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..95a920a0862fa29954575ee42cf1631ce8b2ee8f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_bf375580a59c5671/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 GROUP BY \"bin_1\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"bin_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 template with group_col=\"bin_1\" and measure_col=\"bin_2\". Since the schema stores values as TEXT, the measure is cast to REAL and empty strings are converted to NULL before SUM()."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_bf375580a59c5671/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_bf375580a59c5671/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_caf8c8e68b08feea/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_caf8c8e68b08feea/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..139bf7acfdf27d51073e0d9aac8f254c78a71ad9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_caf8c8e68b08feea/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": 393, "bytes_utf8": 393, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16056, "cached_input_tokens": 12032, "output_tokens": 360, "reasoning_output_tokens": 246}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_caf8c8e68b08feea/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_caf8c8e68b08feea/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..ae082da975674ce2ae3b281c447404093f66a04e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_caf8c8e68b08feea/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_caf8c8e68b08feea", + "api_calls": 0, + "input_tokens": 16056, + "cached_input_tokens": 12032, + "output_tokens": 360, + "total_tokens": 16416, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9693.06, + "sql_execution_elapsed_ms_total": 279.88, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_caf8c8e68b08feea/cli/conversation.jsonl", + "note": "Executed through a local 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_caf8c8e68b08feea/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_caf8c8e68b08feea/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ec64a3d22fa933914f04382576247c8cdeb704b4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_caf8c8e68b08feea/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:28:27.905164+00:00", + "ended_at": "2026-05-19T15:28:37.598258+00:00", + "elapsed_ms": 9693.06, + "prompt_metrics": { + "chars": 12281, + "bytes_utf8": 12281, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 763, + "bytes_utf8": 763, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 393, + "bytes_utf8": 393, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16056, + "cached_input_tokens": 12032, + "output_tokens": 360, + "reasoning_output_tokens": 246 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_caf8c8e68b08feea/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_caf8c8e68b08feea/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e7c682314a4741f6a3fcc31ffb2844d62ec636f1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_caf8c8e68b08feea/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_0, measure_col=id.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "bin_0", + "measure_col": "id", + "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": 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 {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_caf8c8e68b08feea/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_caf8c8e68b08feea/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6fc4860171d7fb708703f05988d08dde87943ae4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_caf8c8e68b08feea/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40da-49ed-7fd0-b1ab-19a6f625d9dc"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"bin_0\\\", SUM(CAST(\\\"id\\\" AS REAL)) 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(\\\"id\\\" AS REAL) is applied because the schema stores \\\"id\\\" as TEXT but the template requires numeric summation.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16056,"cached_input_tokens":12032,"output_tokens":360,"reasoning_output_tokens":246}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_caf8c8e68b08feea/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_caf8c8e68b08feea/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c69d460646a82845c38f379fcdfa29417542ba02 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_caf8c8e68b08feea/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"bin_0\", SUM(CAST(\"id\" AS REAL)) 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(\"id\" AS REAL) is applied because the schema stores \"id\" as TEXT but the template requires numeric summation."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_caf8c8e68b08feea/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_caf8c8e68b08feea/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_d207f6863ce4de6a/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d207f6863ce4de6a/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ecae0304313104872167231699df547387ba4efc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d207f6863ce4de6a/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12196, "bytes_utf8": 12196, "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": 271, "bytes_utf8": 271, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16031, "cached_input_tokens": 12032, "output_tokens": 230, "reasoning_output_tokens": 155}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d207f6863ce4de6a/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d207f6863ce4de6a/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..70365165643467c3ceb9a422384d022c3f478a52 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d207f6863ce4de6a/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_d207f6863ce4de6a", + "api_calls": 0, + "input_tokens": 16031, + "cached_input_tokens": 12032, + "output_tokens": 230, + "total_tokens": 16261, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10400.77, + "sql_execution_elapsed_ms_total": 269.41, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d207f6863ce4de6a/cli/conversation.jsonl", + "note": "Executed through a local 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_d207f6863ce4de6a/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d207f6863ce4de6a/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..0ef176bce8200a8f0854fb539638fc02be5a9060 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d207f6863ce4de6a/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:34:13.436265+00:00", + "ended_at": "2026-05-19T15:34:23.837063+00:00", + "elapsed_ms": 10400.77, + "prompt_metrics": { + "chars": 12196, + "bytes_utf8": 12196, + "lines": 394, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 617, + "bytes_utf8": 617, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 271, + "bytes_utf8": 271, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16031, + "cached_input_tokens": 12032, + "output_tokens": 230, + "reasoning_output_tokens": 155 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_d207f6863ce4de6a/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d207f6863ce4de6a/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c244d009ab359ea99ebb9665518807829139d9e0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d207f6863ce4de6a/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=bin_0.", + "planned_template_id": "tpl_clickbench_group_count", + "bindings": { + "group_col": "bin_0", + "top_k": 13, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 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}, 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_d207f6863ce4de6a/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d207f6863ce4de6a/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ded8e77c498f5dcb5a38536a88935736e8ffb950 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d207f6863ce4de6a/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40df-8fc8-7e63-99b0-cf95301e1013"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"bin_0\\\", COUNT(*) AS row_count\\nFROM \\\"c15\\\"\\nGROUP BY \\\"bin_0\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Grouped count by \\\"bin_0\\\" using the provided template to inspect subgroup size distribution and stability.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16031,"cached_input_tokens":12032,"output_tokens":230,"reasoning_output_tokens":155}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d207f6863ce4de6a/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d207f6863ce4de6a/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..30c2afc31a5c7611e610250573a3ac8f1c8841c9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d207f6863ce4de6a/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_clickbench_group_count\nSELECT \"bin_0\", COUNT(*) AS row_count\nFROM \"c15\"\nGROUP BY \"bin_0\"\nORDER BY row_count DESC;","notes":"Grouped count by \"bin_0\" using the provided template to inspect subgroup size distribution and stability."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d207f6863ce4de6a/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d207f6863ce4de6a/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/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d48073c5f185f39e/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d4c3fc8c44066455c8a044937f952cc81481c084 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d48073c5f185f39e/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12525, "bytes_utf8": 12525, "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": 12525, "bytes_utf8": 12525, "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": 372, "bytes_utf8": 372, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16124, "cached_input_tokens": 12032, "output_tokens": 351, "reasoning_output_tokens": 235}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d48073c5f185f39e/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d48073c5f185f39e/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..80810349b741eba29fb39e800f82a6ecdfbc1fd8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d48073c5f185f39e/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_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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d48073c5f185f39e/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..11a78f755c60828ee4a52e8e487364c0edbdaf79 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d48073c5f185f39e/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": "2026-05-19T16:06:43.023895+00:00", + "ended_at": "2026-05-19T16:06:46.421672+00:00", + "elapsed_ms": 3397.74, + "returncode": 1, + "prompt_metrics": { + "chars": 12525, + "bytes_utf8": 12525, + "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_d48073c5f185f39e/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d48073c5f185f39e/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..3014b3a2929b329744c45f253772b1f4b5692e4e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d48073c5f185f39e/cli/sql_attempt_2.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:06:47.423795+00:00", + "ended_at": "2026-05-19T16:06:56.403656+00:00", + "elapsed_ms": 8979.82, + "prompt_metrics": { + "chars": 12525, + "bytes_utf8": 12525, + "lines": 399, + "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": 372, + "bytes_utf8": 372, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16124, + "cached_input_tokens": 12032, + "output_tokens": 351, + "reasoning_output_tokens": 235 + } + }, + "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_d48073c5f185f39e/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d48073c5f185f39e/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2c3ccc58153bf195cc0f5c9c1198dd6e8d1c5fd0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d48073c5f185f39e/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=ord_3, condition_col=day.", + "planned_template_id": "tpl_m4_group_condition_rate", + "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 + }, + "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_d48073c5f185f39e/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d48073c5f185f39e/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..2c3ccc58153bf195cc0f5c9c1198dd6e8d1c5fd0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d48073c5f185f39e/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=ord_3, condition_col=day.", + "planned_template_id": "tpl_m4_group_condition_rate", + "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 + }, + "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_d48073c5f185f39e/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d48073c5f185f39e/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..163fc5754ff06413f7bcd553386702028a4cffb8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d48073c5f185f39e/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-4f4d-7fa0-a6ce-3ee2eab318c7"} +{"type":"turn.started"} +{"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_d48073c5f185f39e/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d48073c5f185f39e/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e5850735562bf4847ebd6983781482e01362c106 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d48073c5f185f39e/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-60ad-7d13-aa90-83cb8ccc4665"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"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'.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16124,"cached_input_tokens":12032,"output_tokens":351,"reasoning_output_tokens":235}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d48073c5f185f39e/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d48073c5f185f39e/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..5683eeda3594ac5420dd2cfd6951b207f5497c07 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d48073c5f185f39e/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"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'."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d48073c5f185f39e/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d48073c5f185f39e/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/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d48073c5f185f39e/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_d4f4492ad3286461/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d4f4492ad3286461/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6e924b1190a5656c9aa5878611119384e95cf416 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d4f4492ad3286461/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": 2227, "bytes_utf8": 2227, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16098, "cached_input_tokens": 14720, "output_tokens": 3358, "reasoning_output_tokens": 2588}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d4f4492ad3286461/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d4f4492ad3286461/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..f79514112652a0b1b06d3341a9afba5aee30280e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d4f4492ad3286461/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_d4f4492ad3286461", + "api_calls": 0, + "input_tokens": 16098, + "cached_input_tokens": 14720, + "output_tokens": 3358, + "total_tokens": 19456, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 47007.38, + "sql_execution_elapsed_ms_total": 2937.8, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d4f4492ad3286461/cli/conversation.jsonl", + "note": "Executed through a local 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_d4f4492ad3286461/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d4f4492ad3286461/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..8539b07093123bc247cfb8633ca0b9dc77ba82f5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d4f4492ad3286461/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:57:08.556048+00:00", + "ended_at": "2026-05-19T15:57:55.563462+00:00", + "elapsed_ms": 47007.38, + "prompt_metrics": { + "chars": 12460, + "bytes_utf8": 12460, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2914, + "bytes_utf8": 2914, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 2227, + "bytes_utf8": 2227, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16098, + "cached_input_tokens": 14720, + "output_tokens": 3358, + "reasoning_output_tokens": 2588 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d4f4492ad3286461/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d4f4492ad3286461/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..59acaf588392b8549ce08102c5cdb3b9639419c5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d4f4492ad3286461/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_4, measure_col=bin_1.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "ord_4", + "measure_col": "bin_1", + "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": 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_d4f4492ad3286461/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d4f4492ad3286461/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..0d84cd99813cca64b27243c1c3b57d8534ac4df6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d4f4492ad3286461/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f4-8b51-7780-b51e-19574e550c15"} +{"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_4\\\" AS \\\"group_col\\\",\\n CAST(\\\"bin_1\\\" AS REAL) AS \\\"measure_col\\\"\\n FROM \\\"c15\\\"\\n WHERE NULLIF(\\\"ord_4\\\", '') IS NOT NULL\\n AND NULLIF(\\\"bin_1\\\", '') IS NOT NULL\\n),\\n\\\"eligible_groups\\\" AS (\\n SELECT\\n \\\"group_col\\\"\\n FROM \\\"base\\\"\\n GROUP BY \\\"group_col\\\"\\n HAVING COUNT(*) >= 5\\n),\\n\\\"ranked\\\" AS (\\n SELECT\\n b.\\\"group_col\\\",\\n b.\\\"measure_col\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY b.\\\"group_col\\\"\\n ORDER BY b.\\\"measure_col\\\"\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY b.\\\"group_col\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"base\\\" AS b\\n INNER JOIN \\\"eligible_groups\\\" AS g\\n ON b.\\\"group_col\\\" = g.\\\"group_col\\\"\\n),\\n\\\"positions\\\" AS (\\n SELECT DISTINCT\\n \\\"group_col\\\",\\n ((\\\"cnt\\\" - 1) * 0.95) + 1.0 AS \\\"pos\\\",\\n CAST(((\\\"cnt\\\" - 1) * 0.95) + 1.0 AS INTEGER) AS \\\"lower_rn\\\",\\n CASE\\n WHEN (((\\\"cnt\\\" - 1) * 0.95) + 1.0) > CAST(((\\\"cnt\\\" - 1) * 0.95) + 1.0 AS INTEGER)\\n THEN CAST(((\\\"cnt\\\" - 1) * 0.95) + 1.0 AS INTEGER) + 1\\n ELSE CAST(((\\\"cnt\\\" - 1) * 0.95) + 1.0 AS INTEGER)\\n END AS \\\"upper_rn\\\"\\n FROM \\\"ranked\\\"\\n),\\n\\\"percentiles\\\" AS (\\n SELECT\\n r.\\\"group_col\\\",\\n p.\\\"pos\\\",\\n p.\\\"lower_rn\\\",\\n p.\\\"upper_rn\\\",\\n MAX(CASE WHEN r.\\\"rn\\\" = p.\\\"lower_rn\\\" THEN r.\\\"measure_col\\\" END) AS \\\"lower_val\\\",\\n MAX(CASE WHEN r.\\\"rn\\\" = p.\\\"upper_rn\\\" THEN r.\\\"measure_col\\\" END) AS \\\"upper_val\\\"\\n FROM \\\"ranked\\\" AS r\\n INNER JOIN \\\"positions\\\" AS p\\n ON r.\\\"group_col\\\" = p.\\\"group_col\\\"\\n GROUP BY\\n r.\\\"group_col\\\",\\n p.\\\"pos\\\",\\n p.\\\"lower_rn\\\",\\n p.\\\"upper_rn\\\"\\n)\\nSELECT\\n \\\"group_col\\\" AS \\\"ord_4\\\",\\n CASE\\n WHEN \\\"lower_rn\\\" = \\\"upper_rn\\\" THEN \\\"lower_val\\\"\\n ELSE \\\"lower_val\\\" + (\\\"pos\\\" - \\\"lower_rn\\\") * (\\\"upper_val\\\" - \\\"lower_val\\\")\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"percentiles\\\"\\nORDER BY \\\"percentile_measure\\\" DESC, \\\"ord_4\\\";\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this emulates the 0.95 continuous percentile for each \\\"ord_4\\\" group by ordering numeric-cast \\\"bin_1\\\" values, excluding empty strings, and filtering to groups with at least 5 rows.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16098,"cached_input_tokens":14720,"output_tokens":3358,"reasoning_output_tokens":2588}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d4f4492ad3286461/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d4f4492ad3286461/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f94f2c5d932ae35eb5ffb6bcfc7901fffe0442aa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d4f4492ad3286461/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"base\" AS (\n SELECT\n \"ord_4\" AS \"group_col\",\n CAST(\"bin_1\" AS REAL) AS \"measure_col\"\n FROM \"c15\"\n WHERE NULLIF(\"ord_4\", '') IS NOT NULL\n AND NULLIF(\"bin_1\", '') IS NOT NULL\n),\n\"eligible_groups\" AS (\n SELECT\n \"group_col\"\n FROM \"base\"\n GROUP BY \"group_col\"\n HAVING COUNT(*) >= 5\n),\n\"ranked\" AS (\n SELECT\n b.\"group_col\",\n b.\"measure_col\",\n ROW_NUMBER() OVER (\n PARTITION BY b.\"group_col\"\n ORDER BY b.\"measure_col\"\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY b.\"group_col\"\n ) AS \"cnt\"\n FROM \"base\" AS b\n INNER JOIN \"eligible_groups\" AS g\n ON b.\"group_col\" = g.\"group_col\"\n),\n\"positions\" AS (\n SELECT DISTINCT\n \"group_col\",\n ((\"cnt\" - 1) * 0.95) + 1.0 AS \"pos\",\n CAST(((\"cnt\" - 1) * 0.95) + 1.0 AS INTEGER) AS \"lower_rn\",\n CASE\n WHEN (((\"cnt\" - 1) * 0.95) + 1.0) > CAST(((\"cnt\" - 1) * 0.95) + 1.0 AS INTEGER)\n THEN CAST(((\"cnt\" - 1) * 0.95) + 1.0 AS INTEGER) + 1\n ELSE CAST(((\"cnt\" - 1) * 0.95) + 1.0 AS INTEGER)\n END AS \"upper_rn\"\n FROM \"ranked\"\n),\n\"percentiles\" AS (\n SELECT\n r.\"group_col\",\n p.\"pos\",\n p.\"lower_rn\",\n p.\"upper_rn\",\n MAX(CASE WHEN r.\"rn\" = p.\"lower_rn\" THEN r.\"measure_col\" END) AS \"lower_val\",\n MAX(CASE WHEN r.\"rn\" = p.\"upper_rn\" THEN r.\"measure_col\" END) AS \"upper_val\"\n FROM \"ranked\" AS r\n INNER JOIN \"positions\" AS p\n ON r.\"group_col\" = p.\"group_col\"\n GROUP BY\n r.\"group_col\",\n p.\"pos\",\n p.\"lower_rn\",\n p.\"upper_rn\"\n)\nSELECT\n \"group_col\" AS \"ord_4\",\n CASE\n WHEN \"lower_rn\" = \"upper_rn\" THEN \"lower_val\"\n ELSE \"lower_val\" + (\"pos\" - \"lower_rn\") * (\"upper_val\" - \"lower_val\")\n END AS \"percentile_measure\"\nFROM \"percentiles\"\nORDER BY \"percentile_measure\" DESC, \"ord_4\";","notes":"SQLite does not support PERCENTILE_CONT, so this emulates the 0.95 continuous percentile for each \"ord_4\" group by ordering numeric-cast \"bin_1\" values, excluding empty strings, and filtering to groups with at least 5 rows."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d4f4492ad3286461/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d4f4492ad3286461/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_d69184acddb26600/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d69184acddb26600/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..5823386f7a902d0ab930bab8463bc9b5f3edebad --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d69184acddb26600/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": "2026-05-19T16:11:38.439068+00:00", + "ended_at": "2026-05-19T16:11:41.421353+00:00", + "elapsed_ms": 2982.26, + "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_d69184acddb26600/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d69184acddb26600/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..2ec8b78332fecc7df215744ea7e992b78ed1062f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d69184acddb26600/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": "2026-05-19T16:11:42.423819+00:00", + "ended_at": "2026-05-19T16:11:45.529502+00:00", + "elapsed_ms": 3105.64, + "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_d69184acddb26600/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d69184acddb26600/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..34333811112564bfb42e796be135e208e9981711 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d69184acddb26600/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_4, measure_col=bin_1.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "nom_4", + "measure_col": "bin_1", + "top_k": 15, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 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 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_d69184acddb26600/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d69184acddb26600/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..34333811112564bfb42e796be135e208e9981711 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d69184acddb26600/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_4, measure_col=bin_1.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "nom_4", + "measure_col": "bin_1", + "top_k": 15, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 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 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_d69184acddb26600/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d69184acddb26600/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b82c5e5f642fcfb0e7879f5f2ffb9c626bdfbfa9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d69184acddb26600/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-d152-7eb2-8516-a3caafca3d5b"} +{"type":"turn.started"} +{"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_d69184acddb26600/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d69184acddb26600/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b525ac0a8d71336d5835c713cc3006b6a01d7cee --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d69184acddb26600/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-d152-7eb2-8516-a3caafca3d5b"} +{"type":"turn.started"} +{"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_d69184acddb26600/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d69184acddb26600/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..524cef60b6bc95d0bc7689b6b679b80eab07d1f0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d69184acddb26600/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-e0da-74a2-9fe5-29bd6330d0d2"} +{"type":"turn.started"} +{"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_d69184acddb26600/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d69184acddb26600/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..c6927167b1908643ea08fec73720aaf34d028df4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d69184acddb26600/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-e0da-74a2-9fe5-29bd6330d0d2"} +{"type":"turn.started"} +{"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_d69184acddb26600/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d69184acddb26600/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_d69184acddb26600/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d69184acddb26600/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_d762bbef0f585651/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d762bbef0f585651/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ad0119f669d72d02baf194466eadfe2145801357 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d762bbef0f585651/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": "2026-05-19T16:11:45.563566+00:00", + "ended_at": "2026-05-19T16:11:48.560494+00:00", + "elapsed_ms": 2996.88, + "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_d762bbef0f585651/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d762bbef0f585651/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c2ba8561c5330ccf77789afb8ce472e9a9e026f3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d762bbef0f585651/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": "2026-05-19T16:11:49.562408+00:00", + "ended_at": "2026-05-19T16:11:52.710206+00:00", + "elapsed_ms": 3147.76, + "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_d762bbef0f585651/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d762bbef0f585651/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1e442af4ea3b2cde6372d5c50c36cd6efa70985d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d762bbef0f585651/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_0, measure_col=bin_2.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "ord_0", + "measure_col": "bin_2", + "top_k": 11, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.75, + "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_d762bbef0f585651/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d762bbef0f585651/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..1e442af4ea3b2cde6372d5c50c36cd6efa70985d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d762bbef0f585651/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_0, measure_col=bin_2.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "ord_0", + "measure_col": "bin_2", + "top_k": 11, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.75, + "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_d762bbef0f585651/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d762bbef0f585651/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..febc653bfd6a55ae26ac59d7621250fe5533c383 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d762bbef0f585651/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-ed36-77e1-a719-ec876384af79"} +{"type":"turn.started"} +{"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_d762bbef0f585651/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d762bbef0f585651/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a267b1e70a45d1ff90cd98af5485f4f26b157fd9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d762bbef0f585651/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-ed36-77e1-a719-ec876384af79"} +{"type":"turn.started"} +{"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_d762bbef0f585651/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d762bbef0f585651/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..568face9c8545fcf88d399348992bedb7b021fbe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d762bbef0f585651/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-fcb2-7ca3-9ead-89623c2d8bdc"} +{"type":"turn.started"} +{"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_d762bbef0f585651/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d762bbef0f585651/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..20484951a72b7d8ab09eff84bd674db2a0dab643 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d762bbef0f585651/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-fcb2-7ca3-9ead-89623c2d8bdc"} +{"type":"turn.started"} +{"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_d762bbef0f585651/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d762bbef0f585651/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_d762bbef0f585651/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d762bbef0f585651/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_d762dcd19adbfc69/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d762dcd19adbfc69/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..72b7ca8791053e16b481a63d23ebd77cf8cd9c79 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d762dcd19adbfc69/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12690, "bytes_utf8": 12690, "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": 649, "bytes_utf8": 649, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16180, "cached_input_tokens": 14720, "output_tokens": 1136, "reasoning_output_tokens": 931}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d762dcd19adbfc69/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d762dcd19adbfc69/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..ea617da2fb4ab1e95cbe249e20a59a03b4942764 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d762dcd19adbfc69/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_d762dcd19adbfc69", + "api_calls": 0, + "input_tokens": 16180, + "cached_input_tokens": 14720, + "output_tokens": 1136, + "total_tokens": 17316, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 21912.0, + "sql_execution_elapsed_ms_total": 559.74, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d762dcd19adbfc69/cli/conversation.jsonl", + "note": "Executed through a local 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_d762dcd19adbfc69/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d762dcd19adbfc69/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..8601e4bc3a681789ce3b34b95f6e6de303ac5e15 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d762dcd19adbfc69/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": "2026-05-19T15:36:04.049646+00:00", + "ended_at": "2026-05-19T15:36:25.961676+00:00", + "elapsed_ms": 21912.0, + "prompt_metrics": { + "chars": 12690, + "bytes_utf8": 12690, + "lines": 398, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1037, + "bytes_utf8": 1037, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 649, + "bytes_utf8": 649, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16180, + "cached_input_tokens": 14720, + "output_tokens": 1136, + "reasoning_output_tokens": 931 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_d762dcd19adbfc69/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d762dcd19adbfc69/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c2591df71f8dce901ea20142c71c29ab2396427e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d762dcd19adbfc69/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=nom_2, measure_col=ord_0.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "nom_2", + "measure_col": "ord_0", + "item_col": "nom_6", + "top_k": 15, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 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}, {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_d762dcd19adbfc69/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d762dcd19adbfc69/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a6b3124e230d9d588c379a84fed807c10fd5021e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d762dcd19adbfc69/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e1-3fdc-7131-9c47-5ba04650d6aa"} +{"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_2\\\",\\n \\\"nom_6\\\",\\n SUM(CAST(NULLIF(\\\"ord_0\\\", '') AS REAL)) AS total_measure,\\n SUM(CAST(NULLIF(\\\"ord_0\\\", '') AS REAL)) * 100.0 / SUM(SUM(CAST(NULLIF(\\\"ord_0\\\", '') AS REAL))) OVER (PARTITION BY \\\"nom_2\\\") AS share_within_group\\nFROM \\\"c15\\\"\\nGROUP BY \\\"nom_2\\\", \\\"nom_6\\\"\\nORDER BY share_within_group DESC\\nLIMIT 15;\",\"notes\":\"Uses the planned within-group share template with group_col=\\\"nom_2\\\", item_col=\\\"nom_6\\\", 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 summation.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16180,"cached_input_tokens":14720,"output_tokens":1136,"reasoning_output_tokens":931}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d762dcd19adbfc69/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d762dcd19adbfc69/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7f6ef469350cd5c4cd8dfd0bde8ad6583187f33f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d762dcd19adbfc69/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"nom_2\",\n \"nom_6\",\n SUM(CAST(NULLIF(\"ord_0\", '') AS REAL)) AS total_measure,\n SUM(CAST(NULLIF(\"ord_0\", '') AS REAL)) * 100.0 / SUM(SUM(CAST(NULLIF(\"ord_0\", '') AS REAL))) OVER (PARTITION BY \"nom_2\") AS share_within_group\nFROM \"c15\"\nGROUP BY \"nom_2\", \"nom_6\"\nORDER BY share_within_group DESC\nLIMIT 15;","notes":"Uses the planned within-group share template with group_col=\"nom_2\", item_col=\"nom_6\", 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 summation."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d762dcd19adbfc69/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_d762dcd19adbfc69/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_da7fc9a2732d8078/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_da7fc9a2732d8078/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f0290bf93f92b13f5bf139ea79bbe572de7f7a29 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_da7fc9a2732d8078/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12690, "bytes_utf8": 12690, "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": 664, "bytes_utf8": 664, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16180, "cached_input_tokens": 12032, "output_tokens": 1512, "reasoning_output_tokens": 1297}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_da7fc9a2732d8078/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_da7fc9a2732d8078/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..38c114a202d844c34f0b69b680d06a17461607b0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_da7fc9a2732d8078/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_da7fc9a2732d8078", + "api_calls": 0, + "input_tokens": 16180, + "cached_input_tokens": 12032, + "output_tokens": 1512, + "total_tokens": 17692, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 25168.1, + "sql_execution_elapsed_ms_total": 663.6, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_da7fc9a2732d8078/cli/conversation.jsonl", + "note": "Executed through a local 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_da7fc9a2732d8078/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_da7fc9a2732d8078/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b41c9cd4db65d00bab3c10c2fdd9e0fddb945390 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_da7fc9a2732d8078/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": "2026-05-19T15:38:59.964717+00:00", + "ended_at": "2026-05-19T15:39:25.132847+00:00", + "elapsed_ms": 25168.1, + "prompt_metrics": { + "chars": 12690, + "bytes_utf8": 12690, + "lines": 398, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1070, + "bytes_utf8": 1070, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 664, + "bytes_utf8": 664, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16180, + "cached_input_tokens": 12032, + "output_tokens": 1512, + "reasoning_output_tokens": 1297 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_da7fc9a2732d8078/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_da7fc9a2732d8078/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..305284075bfe02d92b2ae2ad084e1b8e82077304 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_da7fc9a2732d8078/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_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": 19, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.66, + "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}, {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_da7fc9a2732d8078/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_da7fc9a2732d8078/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..71faac62f1049c80e1ac2c92aa836c70c051d6f2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_da7fc9a2732d8078/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e3-ef05-7c91-b3cd-971af92e8632"} +{"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\\n / SUM(SUM(CAST(NULLIF(\\\"bin_0\\\", '') AS REAL))) OVER (PARTITION BY \\\"ord_1\\\") AS \\\"share_within_group\\\"\\nFROM \\\"c15\\\"\\nWHERE NULLIF(\\\"bin_0\\\", '') IS NOT NULL\\nGROUP BY \\\"ord_1\\\", \\\"ord_4\\\"\\nORDER BY \\\"share_within_group\\\" DESC;\",\"notes\":\"Uses the planned Within-Group Share of Total template with group_col=\\\"ord_1\\\", item_col=\\\"ord_4\\\", and measure_col=\\\"bin_0\\\". Empty-string values in \\\"bin_0\\\" are treated as missing and excluded before summing.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16180,"cached_input_tokens":12032,"output_tokens":1512,"reasoning_output_tokens":1297}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_da7fc9a2732d8078/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_da7fc9a2732d8078/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..07a07796d17ce386b96a75cb49c704f7add9e642 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_da7fc9a2732d8078/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\n / SUM(SUM(CAST(NULLIF(\"bin_0\", '') AS REAL))) OVER (PARTITION BY \"ord_1\") AS \"share_within_group\"\nFROM \"c15\"\nWHERE NULLIF(\"bin_0\", '') IS NOT NULL\nGROUP BY \"ord_1\", \"ord_4\"\nORDER BY \"share_within_group\" DESC;","notes":"Uses the planned Within-Group Share of Total template with group_col=\"ord_1\", item_col=\"ord_4\", and measure_col=\"bin_0\". Empty-string values in \"bin_0\" are treated as missing and 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_da7fc9a2732d8078/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_da7fc9a2732d8078/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_de013cb725a81644/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_de013cb725a81644/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..17239fcce9de7030f34f9ad960b16c17699e227a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_de013cb725a81644/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12222, "bytes_utf8": 12222, "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": 477, "bytes_utf8": 477, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16047, "cached_input_tokens": 12032, "output_tokens": 627, "reasoning_output_tokens": 478}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_de013cb725a81644/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_de013cb725a81644/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..3455f2d8d468aa58cdbac7b98be71431975b8579 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_de013cb725a81644/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_de013cb725a81644", + "api_calls": 0, + "input_tokens": 16047, + "cached_input_tokens": 12032, + "output_tokens": 627, + "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": 13170.0, + "sql_execution_elapsed_ms_total": 135.75, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_de013cb725a81644/cli/conversation.jsonl", + "note": "Executed through a local 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_de013cb725a81644/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_de013cb725a81644/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..01dd14b0409301fffd28bacef72532954b0e35e6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_de013cb725a81644/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:07:35.873638+00:00", + "ended_at": "2026-05-19T16:07:49.043670+00:00", + "elapsed_ms": 13170.0, + "prompt_metrics": { + "chars": 12222, + "bytes_utf8": 12222, + "lines": 394, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 835, + "bytes_utf8": 835, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 477, + "bytes_utf8": 477, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16047, + "cached_input_tokens": 12032, + "output_tokens": 627, + "reasoning_output_tokens": 478 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_de013cb725a81644/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_de013cb725a81644/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e02e48aaa34e9bea9604a002ceab3d62e98f8a2f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_de013cb725a81644/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": 14, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2.5, + "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_de013cb725a81644/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_de013cb725a81644/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e164a2946ffe9ce1f3b51be44ab23774df7e72e6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_de013cb725a81644/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-1dc2-7b91-8fcc-ce9acceb3d3d"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(\\n CASE\\n WHEN NULLIF(\\\"ord_0\\\", '') IS NULL THEN NULL\\n WHEN CAST(\\\"ord_0\\\" AS REAL) <= 2.5 THEN 1.0\\n ELSE 0.0\\n END\\n) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"c15\\\";\",\"notes\":\"Uses the Threshold Rarity CDF template with measure_col bound to \\\"ord_0\\\" and threshold 2.5. Because \\\"ord_0\\\" is stored as TEXT in SQLite, the query casts it to REAL and excludes empty-string missing values from the AVG.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16047,"cached_input_tokens":12032,"output_tokens":627,"reasoning_output_tokens":478}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_de013cb725a81644/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_de013cb725a81644/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4d73c3298436d99505c6ad9cc5c633c18bc5f05e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_de013cb725a81644/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_threshold_rarity_cdf\nSELECT AVG(\n CASE\n WHEN NULLIF(\"ord_0\", '') IS NULL THEN NULL\n WHEN CAST(\"ord_0\" AS REAL) <= 2.5 THEN 1.0\n ELSE 0.0\n END\n) AS \"empirical_cdf_at_threshold\"\nFROM \"c15\";","notes":"Uses the Threshold Rarity CDF template with measure_col bound to \"ord_0\" and threshold 2.5. Because \"ord_0\" is stored as TEXT in SQLite, the query casts it to REAL and excludes empty-string missing values from the AVG."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_de013cb725a81644/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_de013cb725a81644/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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_df6a849a0e4154a2/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..56acfc45e6d97fd6a014992c82238a3395d3b8fa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_df6a849a0e4154a2/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": "2026-05-19T16:05:35.184745+00:00", + "ended_at": "2026-05-19T16:05:38.702812+00:00", + "elapsed_ms": 3518.04, + "returncode": 1, + "prompt_metrics": { + "chars": 12542, + "bytes_utf8": 12542, + "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_df6a849a0e4154a2/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_df6a849a0e4154a2/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..2d5e190cdf04cb57ec36cced65806521dbc09017 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_df6a849a0e4154a2/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": "2026-05-19T16:05:39.705176+00:00", + "ended_at": "2026-05-19T16:05:43.049774+00:00", + "elapsed_ms": 3344.55, + "returncode": 1, + "prompt_metrics": { + "chars": 12542, + "bytes_utf8": 12542, + "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_df6a849a0e4154a2/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_df6a849a0e4154a2/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..13ba25aa1bd110d7c8d3dfe09332c54715a491cf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_df6a849a0e4154a2/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_4, condition_col=nom_4.", + "planned_template_id": "tpl_m4_group_condition_rate", + "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 + }, + "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_df6a849a0e4154a2/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_df6a849a0e4154a2/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..13ba25aa1bd110d7c8d3dfe09332c54715a491cf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_df6a849a0e4154a2/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_4, condition_col=nom_4.", + "planned_template_id": "tpl_m4_group_condition_rate", + "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 + }, + "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_df6a849a0e4154a2/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_df6a849a0e4154a2/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..23b6ad81bd9c50ac7cea5f13f92f612ed3aeba11 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_df6a849a0e4154a2/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-4653-79c1-a353-8351c3108951"} +{"type":"turn.started"} +{"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_df6a849a0e4154a2/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_df6a849a0e4154a2/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b1e194e74067bddb68981c7c6c6240e68c320ed7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_df6a849a0e4154a2/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-4653-79c1-a353-8351c3108951"} +{"type":"turn.started"} +{"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_df6a849a0e4154a2/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_df6a849a0e4154a2/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..3c74294f2ce0c8936c9818df57c0b9aca9d2597b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_df6a849a0e4154a2/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-5816-79f3-b7ee-72179ae791cf"} +{"type":"turn.started"} +{"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_df6a849a0e4154a2/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_df6a849a0e4154a2/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..3e811f02f398af09a01d7518474bd0226423304b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_df6a849a0e4154a2/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-5816-79f3-b7ee-72179ae791cf"} +{"type":"turn.started"} +{"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_df6a849a0e4154a2/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_df6a849a0e4154a2/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/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_df6a849a0e4154a2/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_dfd055177c970abc/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_dfd055177c970abc/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..630c4beec3988dacf21a3f1fe39580338cc75108 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_dfd055177c970abc/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": "2026-05-19T16:08:15.160579+00:00", + "ended_at": "2026-05-19T16:08:18.490870+00:00", + "elapsed_ms": 3330.24, + "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_e06623ee7d7d750f/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e06623ee7d7d750f/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..5ac9df65ed11583d4ae6d86aae294b0b51186c23 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e06623ee7d7d750f/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:55:29.575632+00:00", + "ended_at": "2026-05-19T15:55:36.668354+00:00", + "elapsed_ms": 7092.69, + "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_e06623ee7d7d750f/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e06623ee7d7d750f/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..0fd135883658cd9a7dce3ace1a97808faeaa4a37 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e06623ee7d7d750f/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": "2026-05-19T15:55:37.670559+00:00", + "ended_at": "2026-05-19T15:55:41.037070+00:00", + "elapsed_ms": 3366.47, + "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_e06623ee7d7d750f/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e06623ee7d7d750f/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6192af3fad691f2843a61cd65adc01ad547f2f6f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e06623ee7d7d750f/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_2, measure_col=id.", + "planned_template_id": "tpl_grouped_percentile_point", + "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 + }, + "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_e06623ee7d7d750f/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e06623ee7d7d750f/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..6192af3fad691f2843a61cd65adc01ad547f2f6f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e06623ee7d7d750f/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_2, measure_col=id.", + "planned_template_id": "tpl_grouped_percentile_point", + "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 + }, + "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_e06623ee7d7d750f/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e06623ee7d7d750f/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ed69b6e0caad2e6280941693096f7d8be104db7c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e06623ee7d7d750f/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f3-08bb-7340-952a-8db1fe95cd3b"} +{"type":"turn.started"} +{"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_e06623ee7d7d750f/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e06623ee7d7d750f/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3eeb4c17b05954a8cdf4a6652508deab5bbc2d9c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e06623ee7d7d750f/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f3-08bb-7340-952a-8db1fe95cd3b"} +{"type":"turn.started"} +{"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_e06623ee7d7d750f/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e06623ee7d7d750f/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e9603b2fffc0e77cab4f52ebee867ebe1c5b630d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e06623ee7d7d750f/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f3-284f-7d40-a2fc-407d33dd3c87"} +{"type":"turn.started"} +{"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_e06623ee7d7d750f/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e06623ee7d7d750f/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..d56fbd12f5e5dda63c13406a302330a81bd9c040 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e06623ee7d7d750f/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f3-284f-7d40-a2fc-407d33dd3c87"} +{"type":"turn.started"} +{"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_e06623ee7d7d750f/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e06623ee7d7d750f/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_e06623ee7d7d750f/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e06623ee7d7d750f/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_e134e461a57f0686/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e134e461a57f0686/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..80162900a1e0c45b708f4367413a13be8b5e18ac --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e134e461a57f0686/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12544, "bytes_utf8": 12544, "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": 420, "bytes_utf8": 420, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16121, "cached_input_tokens": 12032, "output_tokens": 349, "reasoning_output_tokens": 224}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e134e461a57f0686/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e134e461a57f0686/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..bf70f495a8af44c40988b8b1a93ec65adf5311ed --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e134e461a57f0686/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_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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e134e461a57f0686/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c89c727cc9fc7e7ce595d35ac2b1ba983931e7b4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e134e461a57f0686/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:04:33.529968+00:00", + "ended_at": "2026-05-19T16:04:42.123656+00:00", + "elapsed_ms": 8593.65, + "prompt_metrics": { + "chars": 12544, + "bytes_utf8": 12544, + "lines": 399, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 783, + "bytes_utf8": 783, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_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 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_e134e461a57f0686/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e134e461a57f0686/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d1fc0685804d342c881bf1870ea556c5096ec98b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e134e461a57f0686/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=nom_1, condition_col=nom_1.", + "planned_template_id": "tpl_m4_group_condition_rate", + "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 + }, + "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_e134e461a57f0686/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e134e461a57f0686/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..44d892658fe09c1eebb2e5907f164dea6b5f83cb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e134e461a57f0686/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-5592-7d01-8338-42795a0a0ff9"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"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'.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16121,"cached_input_tokens":12032,"output_tokens":349,"reasoning_output_tokens":224}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e134e461a57f0686/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e134e461a57f0686/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8453f39c221b900c424239659214312d8ede9e4e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e134e461a57f0686/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"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'."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e134e461a57f0686/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e134e461a57f0686/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_e3e2c32bbf814802/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e3e2c32bbf814802/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ace550595ad46d85b9adf2c5857defa667df3e96 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e3e2c32bbf814802/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12554, "bytes_utf8": 12554, "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": 461, "bytes_utf8": 461, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16124, "cached_input_tokens": 12032, "output_tokens": 648, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e3e2c32bbf814802/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e3e2c32bbf814802/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..03ba07a80955fba8c0d9a53a68440fefb8e12a59 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e3e2c32bbf814802/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_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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e3e2c32bbf814802/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..70df958a0f59121c9709571b571205be82ca5799 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e3e2c32bbf814802/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": "2026-05-19T16:06:07.417307+00:00", + "ended_at": "2026-05-19T16:06:20.825161+00:00", + "elapsed_ms": 13407.82, + "prompt_metrics": { + "chars": 12554, + "bytes_utf8": 12554, + "lines": 399, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 816, + "bytes_utf8": 816, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_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 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_e3e2c32bbf814802/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e3e2c32bbf814802/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c92856d46aff75ddcbd883e40e378103e4c32372 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e3e2c32bbf814802/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=ord_1, condition_col=ord_1.", + "planned_template_id": "tpl_m4_group_condition_rate", + "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 + }, + "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_e3e2c32bbf814802/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e3e2c32bbf814802/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..563882cda606840e30508bf711e6bb1b21a61666 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e3e2c32bbf814802/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-c448-7533-8041-d96768045cd1"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"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.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16124,"cached_input_tokens":12032,"output_tokens":648,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e3e2c32bbf814802/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e3e2c32bbf814802/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..755211b6925b8cb76bd0b6b42aab8dd3a9d1200f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e3e2c32bbf814802/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"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."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e3e2c32bbf814802/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e3e2c32bbf814802/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_e74f51004f84a1d8/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e74f51004f84a1d8/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..af220557474151de922801195576fa6f7dcdaee8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e74f51004f84a1d8/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": 602, "bytes_utf8": 602, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16176, "cached_input_tokens": 12032, "output_tokens": 1153, "reasoning_output_tokens": 964}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e74f51004f84a1d8/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e74f51004f84a1d8/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..6deab3d5211adebb6796545a4840daa200abac78 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e74f51004f84a1d8/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_e74f51004f84a1d8", + "api_calls": 0, + "input_tokens": 16176, + "cached_input_tokens": 12032, + "output_tokens": 1153, + "total_tokens": 17329, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 23286.08, + "sql_execution_elapsed_ms_total": 689.58, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e74f51004f84a1d8/cli/conversation.jsonl", + "note": "Executed through a local 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_e74f51004f84a1d8/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e74f51004f84a1d8/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..db3fdfb00c64a7f610032b1b0b7b8010cdbdb1cf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e74f51004f84a1d8/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:36:26.553199+00:00", + "ended_at": "2026-05-19T15:36:49.839307+00:00", + "elapsed_ms": 23286.08, + "prompt_metrics": { + "chars": 12683, + "bytes_utf8": 12683, + "lines": 398, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 987, + "bytes_utf8": 987, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 602, + "bytes_utf8": 602, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16176, + "cached_input_tokens": 12032, + "output_tokens": 1153, + "reasoning_output_tokens": 964 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_e74f51004f84a1d8/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e74f51004f84a1d8/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a268930b3d63355ef12dfbbae880a2c6a4d20e96 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e74f51004f84a1d8/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=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": 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": 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}, {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_e74f51004f84a1d8/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e74f51004f84a1d8/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..58d0d30004e43eb8e7035457ee9e3b3c4948f388 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e74f51004f84a1d8/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e1-97f5-76e3-ba89-4d9c8f775672"} +{"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\\n / SUM(SUM(CAST(NULLIF(\\\"day\\\", '') AS REAL))) OVER (PARTITION BY \\\"nom_3\\\") AS share_within_group\\nFROM \\\"c15\\\"\\nGROUP BY \\\"nom_3\\\", \\\"nom_7\\\"\\nORDER BY share_within_group DESC\\nLIMIT 11;\",\"notes\":\"Instantiates the Within-Group Share of Total template with group_col=\\\"nom_3\\\", item_col=\\\"nom_7\\\", and measure_col=\\\"day\\\". Empty day values are converted to NULL and cast to REAL before summation.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16176,"cached_input_tokens":12032,"output_tokens":1153,"reasoning_output_tokens":964}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e74f51004f84a1d8/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e74f51004f84a1d8/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7979590e125f33c5dc672280e71a597fe0aa1dba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e74f51004f84a1d8/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\n / SUM(SUM(CAST(NULLIF(\"day\", '') AS REAL))) OVER (PARTITION BY \"nom_3\") AS share_within_group\nFROM \"c15\"\nGROUP BY \"nom_3\", \"nom_7\"\nORDER BY share_within_group DESC\nLIMIT 11;","notes":"Instantiates the Within-Group Share of Total template with group_col=\"nom_3\", item_col=\"nom_7\", and measure_col=\"day\". Empty day values are converted to NULL and 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_e74f51004f84a1d8/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_e74f51004f84a1d8/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_eb61ec138408046c/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_eb61ec138408046c/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7e28250338dce2b0154acfa77518df5d0f6faa3c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_eb61ec138408046c/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12690, "bytes_utf8": 12690, "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": 687, "bytes_utf8": 687, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16176, "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_eb61ec138408046c/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_eb61ec138408046c/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..934f01835d5c83c2d5b63cc6c0912de83a25dddf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_eb61ec138408046c/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_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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_eb61ec138408046c/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..83a22dcbf100e27314a6af6fdfc3bd496d834560 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_eb61ec138408046c/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:37:39.486462+00:00", + "ended_at": "2026-05-19T15:37:54.068768+00:00", + "elapsed_ms": 14582.27, + "prompt_metrics": { + "chars": 12690, + "bytes_utf8": 12690, + "lines": 398, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1070, + "bytes_utf8": 1070, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_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 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_eb61ec138408046c/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_eb61ec138408046c/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..15c9d81acc3bcc375f11c005776688bbc2f409e5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_eb61ec138408046c/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=nom_4, measure_col=month.", + "planned_template_id": "tpl_tpcds_within_group_share", + "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 + }, + "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_eb61ec138408046c/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_eb61ec138408046c/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..265ab957425c215468402076003817a64572d37d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_eb61ec138408046c/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e2-b4a7-7382-b254-c90d453ca493"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"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.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16176,"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_eb61ec138408046c/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_eb61ec138408046c/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6f53a505f317f577afbe842af5bf4365e8d30f4e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_eb61ec138408046c/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"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."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_eb61ec138408046c/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_eb61ec138408046c/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_ec9083bb29ad5def/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ec9083bb29ad5def/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..fa29346d1c611a66888c06a602be2d7d41709824 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ec9083bb29ad5def/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": 1160, "bytes_utf8": 1160, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16098, "cached_input_tokens": 12032, "output_tokens": 1819, "reasoning_output_tokens": 1437}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ec9083bb29ad5def/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ec9083bb29ad5def/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..997e8609e5b7866e6cdedbb2f5dd6c661c4effc1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ec9083bb29ad5def/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_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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ec9083bb29ad5def/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1a93ec73dd5301cdffe390e5f7905a4d7596f78f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ec9083bb29ad5def/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:57:58.539316+00:00", + "ended_at": "2026-05-19T15:58:26.851301+00:00", + "elapsed_ms": 28311.95, + "prompt_metrics": { + "chars": 12460, + "bytes_utf8": 12460, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1658, + "bytes_utf8": 1658, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_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 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_ec9083bb29ad5def/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ec9083bb29ad5def/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0e7f9d70f1a1b6810958543b5cf1a1388b89ac07 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ec9083bb29ad5def/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_4, measure_col=bin_1.", + "planned_template_id": "tpl_grouped_percentile_point", + "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 + }, + "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_ec9083bb29ad5def/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ec9083bb29ad5def/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c91562b944f7d6921d7f3e94f1dee324885f09ab --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ec9083bb29ad5def/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f5-4e9a-7bb3-a2f2-efea7fe28d2f"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"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 uses a nearest-rank 90th percentile per \\\"ord_4\\\" over numeric-cast \\\"bin_1\\\", excluding empty group and measure values and keeping groups with at least 5 rows.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16098,"cached_input_tokens":12032,"output_tokens":1819,"reasoning_output_tokens":1437}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ec9083bb29ad5def/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ec9083bb29ad5def/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..275cc739e6990d47b2e78436bbfc84a7626e24eb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ec9083bb29ad5def/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"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 uses a nearest-rank 90th percentile per \"ord_4\" over numeric-cast \"bin_1\", excluding empty group and measure values and keeping 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_ec9083bb29ad5def/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ec9083bb29ad5def/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_ec9f8610ba93df81/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ec9f8610ba93df81/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..31f1a27cd3ba79957e16bc064f8096e17d2d98eb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ec9f8610ba93df81/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 13109, "bytes_utf8": 13109, "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": 677, "bytes_utf8": 677, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16271, "cached_input_tokens": 15744, "output_tokens": 711, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ec9f8610ba93df81/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ec9f8610ba93df81/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..610b574dc9ffa16fbc72a04c6bcabaec01202398 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ec9f8610ba93df81/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_ec9f8610ba93df81", + "api_calls": 0, + "input_tokens": 16271, + "cached_input_tokens": 15744, + "output_tokens": 711, + "total_tokens": 16982, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14172.41, + "sql_execution_elapsed_ms_total": 334.9, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ec9f8610ba93df81/cli/conversation.jsonl", + "note": "Executed through a local 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_ec9f8610ba93df81/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ec9f8610ba93df81/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b4848c7a71e727c7f1c203fe205bd9e7cf3f7046 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ec9f8610ba93df81/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:43:53.031214+00:00", + "ended_at": "2026-05-19T15:44:07.203650+00:00", + "elapsed_ms": 14172.41, + "prompt_metrics": { + "chars": 13109, + "bytes_utf8": 13109, + "lines": 399, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1046, + "bytes_utf8": 1046, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 677, + "bytes_utf8": 677, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16271, + "cached_input_tokens": 15744, + "output_tokens": 711, + "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_ec9f8610ba93df81/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ec9f8610ba93df81/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ffbbef5aad4fe9b32624d5330c011f0d96d4c00d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ec9f8610ba93df81/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_2, condition_col=nom_3.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "bin_2", + "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": 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_ec9f8610ba93df81/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ec9f8610ba93df81/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..51800d756fdf9da86f9ca9553a66ce7362f1ce0a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ec9f8610ba93df81/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e8-67e1-74d0-8806-eac7eac52024"} +{"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_2\\\",\\n SUM(CASE WHEN \\\"nom_3\\\" = 'Costa Rica' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"nom_3\\\" = 'India' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"c15\\\"\\n GROUP BY \\\"bin_2\\\"\\n)\\nSELECT \\\"bin_2\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Grouped ratio template using \\\"bin_2\\\" as the grouping column and comparing counts of \\\"nom_3\\\" = 'Costa Rica' versus 'India'. NULLIF avoids division by zero for groups with no 'India' rows.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16271,"cached_input_tokens":15744,"output_tokens":711,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ec9f8610ba93df81/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ec9f8610ba93df81/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0487700e5eda97f48936052a91217de8435ebeaf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ec9f8610ba93df81/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT \"bin_2\",\n SUM(CASE WHEN \"nom_3\" = 'Costa Rica' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"nom_3\" = 'India' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"c15\"\n GROUP BY \"bin_2\"\n)\nSELECT \"bin_2\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;","notes":"Grouped ratio template using \"bin_2\" as the grouping column and comparing counts of \"nom_3\" = 'Costa Rica' versus 'India'. NULLIF avoids division by zero for groups with no 'India' rows."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ec9f8610ba93df81/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_ec9f8610ba93df81/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_edc13ac5acd643b0/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_edc13ac5acd643b0/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..9307a456d17044afe6d568ca0cf178819fcd136e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_edc13ac5acd643b0/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": "2026-05-19T16:11:22.702391+00:00", + "ended_at": "2026-05-19T16:11:25.614041+00:00", + "elapsed_ms": 2911.57, + "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_edc13ac5acd643b0/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_edc13ac5acd643b0/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1bc317323ec66859f684e4473d64caf6c9f3c641 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_edc13ac5acd643b0/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": "2026-05-19T16:11:26.615958+00:00", + "ended_at": "2026-05-19T16:11:29.502691+00:00", + "elapsed_ms": 2886.7, + "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_edc13ac5acd643b0/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_edc13ac5acd643b0/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..698c8daf621ef58bb07bf8a2ac206f1d981bdea5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_edc13ac5acd643b0/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=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": 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": 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 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_edc13ac5acd643b0/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_edc13ac5acd643b0/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..698c8daf621ef58bb07bf8a2ac206f1d981bdea5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_edc13ac5acd643b0/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=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": 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": 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 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_edc13ac5acd643b0/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_edc13ac5acd643b0/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c39e830535b0a368ffb911d9d825147a78f87a54 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_edc13ac5acd643b0/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-93cf-7631-b07e-cf4cd152e2b1"} +{"type":"turn.started"} +{"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_edc13ac5acd643b0/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_edc13ac5acd643b0/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8447bc66aa0ef29320cad8de489ce7bbc65e53e3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_edc13ac5acd643b0/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-93cf-7631-b07e-cf4cd152e2b1"} +{"type":"turn.started"} +{"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_edc13ac5acd643b0/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_edc13ac5acd643b0/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e0b2a6d75627878a734a275ea6e50dea908666ce --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_edc13ac5acd643b0/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-a311-72b0-aadf-28a452e58b21"} +{"type":"turn.started"} +{"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_edc13ac5acd643b0/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_edc13ac5acd643b0/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..f7e74ef182290a74f8fc8f1d5574373e21de27a5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_edc13ac5acd643b0/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-a311-72b0-aadf-28a452e58b21"} +{"type":"turn.started"} +{"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_edc13ac5acd643b0/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_edc13ac5acd643b0/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_edc13ac5acd643b0/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_edc13ac5acd643b0/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_efaa5ab83d037d29/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_efaa5ab83d037d29/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e220409a205cfa8137dc4587872f89dd80231aa9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_efaa5ab83d037d29/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": "2026-05-19T16:08:58.510645+00:00", + "ended_at": "2026-05-19T16:09:01.347564+00:00", + "elapsed_ms": 2836.89, + "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_efaa5ab83d037d29/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_efaa5ab83d037d29/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..96e64e1150214084df9a5f5dca35f37c036321ce --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_efaa5ab83d037d29/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": "2026-05-19T16:09:02.349893+00:00", + "ended_at": "2026-05-19T16:09:06.765085+00:00", + "elapsed_ms": 4415.14, + "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_efaa5ab83d037d29/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_efaa5ab83d037d29/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7f7acb5521e9160e7f81551ce9d1ff72c2e095b5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_efaa5ab83d037d29/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=ord_3.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "ord_3", + "top_k": 11, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 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_efaa5ab83d037d29/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_efaa5ab83d037d29/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..7f7acb5521e9160e7f81551ce9d1ff72c2e095b5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_efaa5ab83d037d29/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=ord_3.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "ord_3", + "top_k": 11, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 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_efaa5ab83d037d29/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_efaa5ab83d037d29/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e6ba575be35baea72cc7bc23ba39d8bc5c35a38b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_efaa5ab83d037d29/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-608e-75c1-b01f-a201608b07ac"} +{"type":"turn.started"} +{"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_efaa5ab83d037d29/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_efaa5ab83d037d29/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4f9cfb25090259d0f06dcbe0c5bcfbae229b9b6a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_efaa5ab83d037d29/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-608e-75c1-b01f-a201608b07ac"} +{"type":"turn.started"} +{"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_efaa5ab83d037d29/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_efaa5ab83d037d29/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ee587c6d6b3d2166d8fd4ba1963507d89c3cb693 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_efaa5ab83d037d29/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-6faf-7733-917e-d5750129b2fb"} +{"type":"turn.started"} +{"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_efaa5ab83d037d29/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_efaa5ab83d037d29/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..09c2e6fa4d7e6a83ee35c60d19c49c5b655b81f7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_efaa5ab83d037d29/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-6faf-7733-917e-d5750129b2fb"} +{"type":"turn.started"} +{"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_efaa5ab83d037d29/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_efaa5ab83d037d29/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_efaa5ab83d037d29/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_efaa5ab83d037d29/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_f7be08755059c334/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f7be08755059c334/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a1bebde41c02d6e8b09cbe5e3f36e55b3f6c3015 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f7be08755059c334/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": "2026-05-19T16:05:50.269252+00:00", + "ended_at": "2026-05-19T16:05:53.941936+00:00", + "elapsed_ms": 3672.65, + "returncode": 1, + "prompt_metrics": { + "chars": 12534, + "bytes_utf8": 12534, + "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_f7be08755059c334/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f7be08755059c334/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c9e426f6656f0189ecf6a64922b7eec39e24705f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f7be08755059c334/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": "2026-05-19T16:05:54.944247+00:00", + "ended_at": "2026-05-19T16:05:58.231305+00:00", + "elapsed_ms": 3287.01, + "returncode": 1, + "prompt_metrics": { + "chars": 12534, + "bytes_utf8": 12534, + "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_f7be08755059c334/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f7be08755059c334/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1bc3578530aa6fe9b232e25538769fe47a059558 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f7be08755059c334/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_0, condition_col=ord_0.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "ord_0", + "condition_col": "ord_0", + "condition_value": "2.0", + "positive_value": "3.0", + "negative_value": "2.0", + "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": 0.75, + "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_f7be08755059c334/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f7be08755059c334/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..1bc3578530aa6fe9b232e25538769fe47a059558 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f7be08755059c334/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_0, condition_col=ord_0.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "ord_0", + "condition_col": "ord_0", + "condition_value": "2.0", + "positive_value": "3.0", + "negative_value": "2.0", + "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": 0.75, + "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_f7be08755059c334/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f7be08755059c334/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..46fc6fb75661e4beb708955ecef1d688be456b22 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f7be08755059c334/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-815d-7620-972a-56af56511b6c"} +{"type":"turn.started"} +{"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_f7be08755059c334/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f7be08755059c334/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f93effbcad040478664ab695aa03ea766f7aeadf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f7be08755059c334/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-815d-7620-972a-56af56511b6c"} +{"type":"turn.started"} +{"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_f7be08755059c334/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f7be08755059c334/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..1d2cdd5795c4b7973b606dfdf2c7d15bb698dc9d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f7be08755059c334/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-9385-71f0-9459-01282eb125f9"} +{"type":"turn.started"} +{"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_f7be08755059c334/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f7be08755059c334/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..9e2a764c47de02be5c9fff0fc7c7802a6a584118 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f7be08755059c334/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-9385-71f0-9459-01282eb125f9"} +{"type":"turn.started"} +{"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_f7be08755059c334/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f7be08755059c334/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_f7be08755059c334/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f7be08755059c334/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/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f8da20294cab3cee/cli/conversation.jsonl new file mode 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"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": 1704, "bytes_utf8": 1704, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16090, "cached_input_tokens": 12032, "output_tokens": 2850, "reasoning_output_tokens": 2327}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f8da20294cab3cee/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f8da20294cab3cee/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..c12a16eea070531ddb4e1dc087d1c1132ff026d2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f8da20294cab3cee/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_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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f8da20294cab3cee/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..652e2695aaf2fcaab609d2cb5a4c1aeb76e1d21b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f8da20294cab3cee/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": "2026-05-19T15:59:40.250402+00:00", + "ended_at": "2026-05-19T15:59:43.921670+00:00", + "elapsed_ms": 3671.24, + "returncode": 1, + "prompt_metrics": { + "chars": 12455, + "bytes_utf8": 12455, + "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_f8da20294cab3cee/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f8da20294cab3cee/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a98c6c01d9734ffb65d6ad303b255a2c5b15951d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f8da20294cab3cee/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": "2026-05-19T15:59:44.923468+00:00", + "ended_at": "2026-05-19T16:00:23.823868+00:00", + "elapsed_ms": 38900.36, + "prompt_metrics": { + "chars": 12455, + "bytes_utf8": 12455, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2305, + "bytes_utf8": 2305, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_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 + } + }, + "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_f8da20294cab3cee/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f8da20294cab3cee/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..48acb625b8ecb944975e62b71f020cb653a44533 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f8da20294cab3cee/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=target, measure_col=day.", + "planned_template_id": "tpl_grouped_percentile_point", + "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 + }, + "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_f8da20294cab3cee/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f8da20294cab3cee/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..48acb625b8ecb944975e62b71f020cb653a44533 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f8da20294cab3cee/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=target, measure_col=day.", + "planned_template_id": "tpl_grouped_percentile_point", + "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 + }, + "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_f8da20294cab3cee/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f8da20294cab3cee/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..3a2db365628e40ce0e7041ef7cc10ce53e2ff1d5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f8da20294cab3cee/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f6-dc07-7e30-9915-c75ad92adaa7"} +{"type":"turn.started"} +{"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_f8da20294cab3cee/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f8da20294cab3cee/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4b1e2f7bad076086129d5dcc23ce3deebc3d7c62 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f8da20294cab3cee/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f6-dc07-7e30-9915-c75ad92adaa7"} +{"type":"turn.started"} +{"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_f8da20294cab3cee/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f8da20294cab3cee/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..44b18412dc105d3cdb8a7ac57a417dd3b020ff5f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f8da20294cab3cee/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f6-ee42-7f60-80f4-d1cb30da3214"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n SELECT\\n \\\"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\\\";\",\"notes\":\"Uses the planned template roles with group_col=\\\"target\\\" and measure_col=\\\"day\\\". Since SQLite lacks PERCENTILE_CONT, this emulates the 0.9 continuous percentile via windowed ordering and linear interpolation after casting \\\"day\\\" from TEXT to REAL and excluding blank day values.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16090,"cached_input_tokens":12032,"output_tokens":2850,"reasoning_output_tokens":2327}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f8da20294cab3cee/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f8da20294cab3cee/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..7f11a0dddae8760767423de5f7badcef0f3b7e95 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f8da20294cab3cee/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"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) + 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\";","notes":"Uses the planned template roles with group_col=\"target\" and measure_col=\"day\". Since SQLite lacks PERCENTILE_CONT, this emulates the 0.9 continuous percentile via windowed ordering and linear interpolation after casting \"day\" from TEXT to REAL and excluding blank day values."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f8da20294cab3cee/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f8da20294cab3cee/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_f8da20294cab3cee/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_f8da20294cab3cee/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_fb0de0230b107d00/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_fb0de0230b107d00/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..28088475db6af9ab8eb0bc2e401fc0c25b950f55 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_fb0de0230b107d00/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": "2026-05-19T16:10:21.386612+00:00", + "ended_at": "2026-05-19T16:10:24.601631+00:00", + "elapsed_ms": 3214.99, + "returncode": 1, + "prompt_metrics": { + "chars": 12282, + "bytes_utf8": 12282, + "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_fb0de0230b107d00/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_fb0de0230b107d00/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..85fe5b396993ceeba1a49924deafd93525e7e376 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_fb0de0230b107d00/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": "2026-05-19T16:10:25.603581+00:00", + "ended_at": "2026-05-19T16:10:28.393767+00:00", + "elapsed_ms": 2790.15, + "returncode": 1, + "prompt_metrics": { + "chars": 12282, + "bytes_utf8": 12282, + "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_fb0de0230b107d00/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_fb0de0230b107d00/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c0a168fad14ef787248b6979079811829b6fa73e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_fb0de0230b107d00/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=bin_0.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "bin_0", + "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": 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_fb0de0230b107d00/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_fb0de0230b107d00/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..c0a168fad14ef787248b6979079811829b6fa73e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_fb0de0230b107d00/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=bin_0.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "bin_0", + "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": 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_fb0de0230b107d00/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_fb0de0230b107d00/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..3a185ba4df3f41347cb15eb967107346cb9c7d11 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_fb0de0230b107d00/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-a441-7881-9beb-af9923cdff4c"} +{"type":"turn.started"} +{"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_fb0de0230b107d00/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_fb0de0230b107d00/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..25f44c054ff93159fc24cf05aaa21f9046d24955 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_fb0de0230b107d00/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-a441-7881-9beb-af9923cdff4c"} +{"type":"turn.started"} +{"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_fb0de0230b107d00/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_fb0de0230b107d00/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..33539902a923c20ff829bd90352f81fbe3e091b2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_fb0de0230b107d00/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-b4cb-7552-b201-43237542301a"} +{"type":"turn.started"} +{"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_fb0de0230b107d00/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_fb0de0230b107d00/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..516c726e879b5be3aa870c1f1a9576170f5e68c9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_fb0de0230b107d00/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-b4cb-7552-b201-43237542301a"} +{"type":"turn.started"} +{"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_fb0de0230b107d00/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_fb0de0230b107d00/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_fb0de0230b107d00/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c15/artifacts/v2q_c15_fb0de0230b107d00/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/n15/artifacts/v2q_n15_054d762b56fc12de/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_054d762b56fc12de/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..40576972d0e0e5b086fa3f010dcf68adf33ce10b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_054d762b56fc12de/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=MFALLEEN. +Result preview: [{"MFALLEEN": "0", "row_count": 2916}, {"MFALLEEN": "2", "row_count": 2143}, {"MFALLEEN": "1", "row_count": 1619}, {"MFALLEEN": "3", "row_count": 1439}, {"MFALLEEN": "4", "row_count": 890}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_054d762b56fc12de/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_054d762b56fc12de/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..2ab741a888dc6fc789fb029c8a0901106b32810c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_054d762b56fc12de/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: n15 +-- 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_n15_054d762b56fc12de +-- problem_id: v2p_n15_34207b90203c7b44 +-- realization_mode: agent +-- source_kind: agent +SELECT "MFALLEEN", COUNT(*) AS row_count +FROM "n15" +GROUP BY "MFALLEEN" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_054d762b56fc12de/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_054d762b56fc12de/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..acdc018c90cabc6998de665713e3a36fdb70dbc4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_054d762b56fc12de/query_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 \"MFALLEEN\", COUNT(*) AS row_count\nFROM \"n15\"\nGROUP BY \"MFALLEEN\"\nORDER BY row_count DESC;", "result": "{\"query\": \"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"MFALLEEN\\\", COUNT(*) AS row_count\\nFROM \\\"n15\\\"\\nGROUP BY \\\"MFALLEEN\\\"\\nORDER BY row_count DESC;\", \"columns\": [\"MFALLEEN\", \"row_count\"], \"rows\": [{\"MFALLEEN\": \"0\", \"row_count\": 2916}, {\"MFALLEEN\": \"2\", \"row_count\": 2143}, {\"MFALLEEN\": \"1\", \"row_count\": 1619}, {\"MFALLEEN\": \"3\", \"row_count\": 1439}, {\"MFALLEEN\": \"4\", \"row_count\": 890}, {\"MFALLEEN\": \"5\", \"row_count\": 416}, {\"MFALLEEN\": \"6\", \"row_count\": 222}, {\"MFALLEEN\": \"7\", \"row_count\": 107}, {\"MFALLEEN\": \"8\", \"row_count\": 36}, {\"MFALLEEN\": \"9\", \"row_count\": 34}], \"row_count_returned\": 10, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 4.29}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_054d762b56fc12de/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_054d762b56fc12de/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..d288ef6dee634bbde410096df03137b7f7d1dcbe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_054d762b56fc12de/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "n15", + "started_at": "2026-05-19T15:32:27.337439+00:00", + "ended_at": "2026-05-19T15:32:49.319743+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n15_054d762b56fc12de", + "problem_id": "v2p_n15_34207b90203c7b44", + "dataset_id": "n15", + "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=MFALLEEN.", + "bindings": { + "group_col": "MFALLEEN", + "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": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "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/n15/sql/v2q_n15_054d762b56fc12de.sql", + "usage_summary": { + "dataset_id": "n15", + "model": "v2-cli:codex", + "run_id": "v2q_n15_054d762b56fc12de", + "api_calls": 0, + "input_tokens": 22979, + "cached_input_tokens": 21888, + "output_tokens": 285, + "total_tokens": 23264, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 21971.16, + "sql_execution_elapsed_ms_total": 4.29, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_054d762b56fc12de/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_054d762b56fc12de/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_054d762b56fc12de/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c5f38532ab44ca1359495c6cdf7dc0812e1d95c1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_054d762b56fc12de/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:32:49.313934+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 21971.16, "started_at": "2026-05-19T15:32:27.342011+00:00", "ended_at": "2026-05-19T15:32:49.313191+00:00", "prompt_metrics": {"chars": 32994, "bytes_utf8": 32994, "lines": 1126, "estimated_tokens": null}, "response_metrics": {"chars": 277, "bytes_utf8": 277, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 22979, "cached_input_tokens": 21888, "output_tokens": 285, "reasoning_output_tokens": 210}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"MFALLEEN\\\", COUNT(*) AS row_count\\nFROM \\\"n15\\\"\\nGROUP BY \\\"MFALLEEN\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Grouped count by category on \\\"MFALLEEN\\\" using the planned template to inspect subgroup size distribution.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_054d762b56fc12de/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_054d762b56fc12de/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..80e5f8d9c7ee36f50db97a44e47a852b8c432e2f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_054d762b56fc12de/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n15", + "model": "v2-cli:codex", + "run_id": "v2q_n15_054d762b56fc12de", + "api_calls": 0, + "input_tokens": 22979, + "cached_input_tokens": 21888, + "output_tokens": 285, + "total_tokens": 23264, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 21971.16, + "sql_execution_elapsed_ms_total": 4.29, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_054d762b56fc12de/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_08b174a71f625c5b/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_08b174a71f625c5b/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..dadf366dd10a5b940ad5e94c41656d5e05f2dfbf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_08b174a71f625c5b/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "n15", + "started_at": "2026-05-19T16:04:16.100604+00:00", + "ended_at": "2026-05-19T16:04:23.711640+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n15_08b174a71f625c5b", + "problem_id": "v2p_n15_8e672ba5b31f9d28", + "dataset_id": "n15", + "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=MGODPR, measure_col=MINK4575.", + "bindings": { + "group_col": "MGODPR", + "measure_col": "MINK4575", + "top_k": 12, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=9", + "sql_variant_index=1/2", + "binding_index=92" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "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/n15/artifacts/v2q_n15_08b174a71f625c5b/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_08b174a71f625c5b/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..622def8cf517cbab60739b0dd885043a19cadef0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_08b174a71f625c5b/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:04:19.571594+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": 3465.63, "started_at": "2026-05-19T16:04:16.105106+00:00", "ended_at": "2026-05-19T16:04:19.570762+00:00", "prompt_metrics": {"chars": 33259, "bytes_utf8": 33259, "lines": 1128, "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-1193-70d1-b9b6-58343b0e14ba\"}\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": "2026-05-19T16:04:23.711490+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": 3137.13, "started_at": "2026-05-19T16:04:20.573026+00:00", "ended_at": "2026-05-19T16:04:23.710190+00:00", "prompt_metrics": {"chars": 33259, "bytes_utf8": 33259, "lines": 1128, "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-230a-7f12-b0bb-f363c37e68f8\"}\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/n15/artifacts/v2q_n15_0b671524128783f7/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_0b671524128783f7/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..6c7ad337e86c54ed09641163bf60da95a33d44e7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_0b671524128783f7/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=MGODRK, measure_col=MGODRK. +Result preview: [{"MGODRK": "1", "total_measure": 2744}, {"MGODRK": "2", "total_measure": 2426}, {"MGODRK": "3", "total_measure": 729}, {"MGODRK": "4", "total_measure": 492}, {"MGODRK": "6", "total_measure": 150}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_0b671524128783f7/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_0b671524128783f7/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..65a51c8682d5ebc14f958ff64398f452fccf2118 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_0b671524128783f7/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: n15 +-- 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_n15_0b671524128783f7 +-- problem_id: v2p_n15_12c533d6af60b5b7 +-- realization_mode: agent +-- source_kind: agent +SELECT "MGODRK", SUM(CAST("MGODRK" AS NUMERIC)) AS total_measure +FROM "n15" +GROUP BY "MGODRK" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_0b671524128783f7/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_0b671524128783f7/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b8bc490246d4340d1f01ed75f33c976d25af178d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_0b671524128783f7/query_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 \"MGODRK\", SUM(CAST(\"MGODRK\" AS NUMERIC)) AS total_measure\nFROM \"n15\"\nGROUP BY \"MGODRK\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"MGODRK\\\", SUM(CAST(\\\"MGODRK\\\" AS NUMERIC)) AS total_measure\\nFROM \\\"n15\\\"\\nGROUP BY \\\"MGODRK\\\"\\nORDER BY total_measure DESC;\", \"columns\": [\"MGODRK\", \"total_measure\"], \"rows\": [{\"MGODRK\": \"1\", \"total_measure\": 2744}, {\"MGODRK\": \"2\", \"total_measure\": 2426}, {\"MGODRK\": \"3\", \"total_measure\": 729}, {\"MGODRK\": \"4\", \"total_measure\": 492}, {\"MGODRK\": \"6\", \"total_measure\": 150}, {\"MGODRK\": \"5\", \"total_measure\": 150}, {\"MGODRK\": \"9\", \"total_measure\": 90}, {\"MGODRK\": \"7\", \"total_measure\": 77}, {\"MGODRK\": \"8\", \"total_measure\": 24}, {\"MGODRK\": \"0\", \"total_measure\": 0}], \"row_count_returned\": 10, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 5.02}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_0b671524128783f7/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_0b671524128783f7/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..8d80bb8f24d9542a2ecff2d24c732dc7168eb5db --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_0b671524128783f7/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "n15", + "started_at": "2026-05-19T15:30:33.284237+00:00", + "ended_at": "2026-05-19T15:30:51.229859+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n15_0b671524128783f7", + "problem_id": "v2p_n15_12c533d6af60b5b7", + "dataset_id": "n15", + "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=MGODRK, measure_col=MGODRK.", + "bindings": { + "group_col": "MGODRK", + "measure_col": "MGODRK", + "top_k": 15, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2.64, + "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/n15/sql/v2q_n15_0b671524128783f7.sql", + "usage_summary": { + "dataset_id": "n15", + "model": "v2-cli:codex", + "run_id": "v2q_n15_0b671524128783f7", + "api_calls": 0, + "input_tokens": 23008, + "cached_input_tokens": 12032, + "output_tokens": 402, + "total_tokens": 23410, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 17933.8, + "sql_execution_elapsed_ms_total": 5.02, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_0b671524128783f7/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_0b671524128783f7/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_0b671524128783f7/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..95ad1baa19f1291454e7e50cbaa3cc3ef1aff46f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_0b671524128783f7/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:30:51.223062+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 17933.8, "started_at": "2026-05-19T15:30:33.288296+00:00", "ended_at": "2026-05-19T15:30:51.222122+00:00", "prompt_metrics": {"chars": 33079, "bytes_utf8": 33079, "lines": 1128, "estimated_tokens": null}, "response_metrics": {"chars": 369, "bytes_utf8": 369, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 23008, "cached_input_tokens": 12032, "output_tokens": 402, "reasoning_output_tokens": 299}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"MGODRK\\\", SUM(CAST(\\\"MGODRK\\\" AS NUMERIC)) AS total_measure\\nFROM \\\"n15\\\"\\nGROUP BY \\\"MGODRK\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the required Grouped Numeric Sum template with \\\"MGODRK\\\" as both the grouping and measure column. CAST to NUMERIC ensures SQLite sums the TEXT-stored numeric codes correctly.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_0b671524128783f7/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_0b671524128783f7/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..c4d159fbb1eb2b4480007ce9d4471eb8d1aef109 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_0b671524128783f7/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n15", + "model": "v2-cli:codex", + "run_id": "v2q_n15_0b671524128783f7", + "api_calls": 0, + "input_tokens": 23008, + "cached_input_tokens": 12032, + "output_tokens": 402, + "total_tokens": 23410, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 17933.8, + "sql_execution_elapsed_ms_total": 5.02, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_0b671524128783f7/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_0c01c4ff48bac60e/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_0c01c4ff48bac60e/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..b9a33eb27f69d3bf52b2dea96d650116ee6c9701 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_0c01c4ff48bac60e/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "4", "support": 1983, "support_share": 0.2018937080024435, "support_rank": 1}, {"value_label": "5", "support": 1869, "support_share": 0.1902871105681124, "support_rank": 2}, {"value_label": "3", "support": 1596, "support_share": 0.1624923640806353, "support_rank": 3}, {"value_label": "6", "support": 1322, "support_share": 0.13459580533496232, "support_rank": 4}, {"value_label": "2", "support": 1096, "support_share": 0.11158623498269192, "support_rank": 5}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_0c01c4ff48bac60e/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_0c01c4ff48bac60e/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..b28c56b1aefedd053a452d73e8f21d7b6bd7d828 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_0c01c4ff48bac60e/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: n15 +-- 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_n15_0c01c4ff48bac60e +-- problem_id: v2p_n15_19ac53fe4dec0b01 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "MFWEKIND" AS value_label, COUNT(*) AS support + FROM "n15" + GROUP BY "MFWEKIND" +) +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/n15/artifacts/v2q_n15_0c01c4ff48bac60e/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_0c01c4ff48bac60e/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5d8f1b001bd6bf810f9f241ad774a18cfde5140b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_0c01c4ff48bac60e/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: n15\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_n15_0c01c4ff48bac60e\n-- problem_id: v2p_n15_19ac53fe4dec0b01\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"MFWEKIND\" AS value_label, COUNT(*) AS support\n FROM \"n15\"\n GROUP BY \"MFWEKIND\"\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: n15\\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_n15_0c01c4ff48bac60e\\n-- problem_id: v2p_n15_19ac53fe4dec0b01\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"MFWEKIND\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"n15\\\"\\n GROUP BY \\\"MFWEKIND\\\"\\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\": \"4\", \"support\": 1983, \"support_share\": 0.2018937080024435, \"support_rank\": 1}, {\"value_label\": \"5\", \"support\": 1869, \"support_share\": 0.1902871105681124, \"support_rank\": 2}, {\"value_label\": \"3\", \"support\": 1596, \"support_share\": 0.1624923640806353, \"support_rank\": 3}, {\"value_label\": \"6\", \"support\": 1322, \"support_share\": 0.13459580533496232, \"support_rank\": 4}, {\"value_label\": \"2\", \"support\": 1096, \"support_share\": 0.11158623498269192, \"support_rank\": 5}, {\"value_label\": \"7\", \"support\": 601, \"support_share\": 0.061189167175727956, \"support_rank\": 6}, {\"value_label\": \"1\", \"support\": 475, \"support_share\": 0.048360822643046225, \"support_rank\": 7}, {\"value_label\": \"8\", \"support\": 341, \"support_share\": 0.03471798004479739, \"support_rank\": 8}, {\"value_label\": \"9\", \"support\": 296, \"support_share\": 0.03013642842598249, \"support_rank\": 9}, {\"value_label\": \"0\", \"support\": 243, \"support_share\": 0.02474037874160049, \"support_rank\": 10}], \"row_count_returned\": 10, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 4.84}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_0c01c4ff48bac60e/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_0c01c4ff48bac60e/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..307313d8cc9278f9e23c284112052e78a2e134e5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_0c01c4ff48bac60e/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "n15", + "started_at": "2026-05-19T16:14:24.896229+00:00", + "ended_at": "2026-05-19T16:14:24.901883+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n15_0c01c4ff48bac60e", + "problem_id": "v2p_n15_19ac53fe4dec0b01", + "dataset_id": "n15", + "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=MFWEKIND.", + "bindings": { + "group_col": "MFWEKIND" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=3", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_0c01c4ff48bac60e.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/n15/artifacts/v2q_n15_0c01c4ff48bac60e/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_0c01c4ff48bac60e/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_0c01c4ff48bac60e/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/n15/artifacts/v2q_n15_0e99b22ac2d0168f/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_0e99b22ac2d0168f/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..f056e0e7fb2b466af8e2c3d7ce54625b85a0b7c1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_0e99b22ac2d0168f/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=MAUT2, measure_col=MAUT2. +Result preview: [{"MAUT2": "7", "MOSTYPE": "1", "total_measure": 14.0, "share_within_group": 100.0}, {"MAUT2": "9", "MOSTYPE": "34", "total_measure": 9.0, "share_within_group": 100.0}, {"MAUT2": "5", "MOSTYPE": "34", "total_measure": 235.0, "share_within_group": 44.76190476190476}, {"MAUT2": "6", "MOSTYPE": "1", "total_measure": 30.0, "share_within_group": 35.714285714285715}, {"MAUT2": "4", "MOSTYPE": "33", "total_measure": 740.0, "share_within_group": 34.83992467043314}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_0e99b22ac2d0168f/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_0e99b22ac2d0168f/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..8f7cd494e09953de912242102232739f4170ed67 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_0e99b22ac2d0168f/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: n15 +-- 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_n15_0e99b22ac2d0168f +-- problem_id: v2p_n15_c3d10544632709a8 +-- realization_mode: agent +-- source_kind: agent +WITH "grouped" AS ( + SELECT + "MAUT2", + "MOSTYPE", + SUM(CAST("MAUT2" AS REAL)) AS "total_measure" + FROM "n15" + GROUP BY "MAUT2", "MOSTYPE" +) +SELECT + "MAUT2", + "MOSTYPE", + "total_measure", + CASE + WHEN SUM("total_measure") OVER (PARTITION BY "MAUT2") = 0 THEN NULL + ELSE "total_measure" * 100.0 / SUM("total_measure") OVER (PARTITION BY "MAUT2") + END AS "share_within_group" +FROM "grouped" +ORDER BY "share_within_group" DESC, "MAUT2", "MOSTYPE" +LIMIT 12; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_0e99b22ac2d0168f/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_0e99b22ac2d0168f/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1747a2de72ef410ca75df64429dee5031cfcd0a4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_0e99b22ac2d0168f/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpcds_within_group_share\nWITH \"grouped\" AS (\n SELECT\n \"MAUT2\",\n \"MOSTYPE\",\n SUM(CAST(\"MAUT2\" AS REAL)) AS \"total_measure\"\n FROM \"n15\"\n GROUP BY \"MAUT2\", \"MOSTYPE\"\n)\nSELECT\n \"MAUT2\",\n \"MOSTYPE\",\n \"total_measure\",\n CASE\n WHEN SUM(\"total_measure\") OVER (PARTITION BY \"MAUT2\") = 0 THEN NULL\n ELSE \"total_measure\" * 100.0 / SUM(\"total_measure\") OVER (PARTITION BY \"MAUT2\")\n END AS \"share_within_group\"\nFROM \"grouped\"\nORDER BY \"share_within_group\" DESC, \"MAUT2\", \"MOSTYPE\"\nLIMIT 12;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nWITH \\\"grouped\\\" AS (\\n SELECT\\n \\\"MAUT2\\\",\\n \\\"MOSTYPE\\\",\\n SUM(CAST(\\\"MAUT2\\\" AS REAL)) AS \\\"total_measure\\\"\\n FROM \\\"n15\\\"\\n GROUP BY \\\"MAUT2\\\", \\\"MOSTYPE\\\"\\n)\\nSELECT\\n \\\"MAUT2\\\",\\n \\\"MOSTYPE\\\",\\n \\\"total_measure\\\",\\n CASE\\n WHEN SUM(\\\"total_measure\\\") OVER (PARTITION BY \\\"MAUT2\\\") = 0 THEN NULL\\n ELSE \\\"total_measure\\\" * 100.0 / SUM(\\\"total_measure\\\") OVER (PARTITION BY \\\"MAUT2\\\")\\n END AS \\\"share_within_group\\\"\\nFROM \\\"grouped\\\"\\nORDER BY \\\"share_within_group\\\" DESC, \\\"MAUT2\\\", \\\"MOSTYPE\\\"\\nLIMIT 12;\", \"columns\": [\"MAUT2\", \"MOSTYPE\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"MAUT2\": \"7\", \"MOSTYPE\": \"1\", \"total_measure\": 14.0, \"share_within_group\": 100.0}, {\"MAUT2\": \"9\", \"MOSTYPE\": \"34\", \"total_measure\": 9.0, \"share_within_group\": 100.0}, {\"MAUT2\": \"5\", \"MOSTYPE\": \"34\", \"total_measure\": 235.0, \"share_within_group\": 44.76190476190476}, {\"MAUT2\": \"6\", \"MOSTYPE\": \"1\", \"total_measure\": 30.0, \"share_within_group\": 35.714285714285715}, {\"MAUT2\": \"4\", \"MOSTYPE\": \"33\", \"total_measure\": 740.0, \"share_within_group\": 34.83992467043314}, {\"MAUT2\": \"4\", \"MOSTYPE\": \"34\", \"total_measure\": 544.0, \"share_within_group\": 25.6120527306968}, {\"MAUT2\": \"6\", \"MOSTYPE\": \"2\", \"total_measure\": 18.0, \"share_within_group\": 21.428571428571427}, {\"MAUT2\": \"3\", \"MOSTYPE\": \"33\", \"total_measure\": 375.0, \"share_within_group\": 19.592476489028215}, {\"MAUT2\": \"5\", \"MOSTYPE\": \"40\", \"total_measure\": 80.0, \"share_within_group\": 15.238095238095237}, {\"MAUT2\": \"6\", \"MOSTYPE\": \"39\", \"total_measure\": 12.0, \"share_within_group\": 14.285714285714286}, {\"MAUT2\": \"6\", \"MOSTYPE\": \"40\", \"total_measure\": 12.0, \"share_within_group\": 14.285714285714286}, {\"MAUT2\": \"2\", \"MOSTYPE\": \"33\", \"total_measure\": 832.0, \"share_within_group\": 13.87129043014338}], \"row_count_returned\": 12, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 9.02}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_0e99b22ac2d0168f/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_0e99b22ac2d0168f/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..81faa91028b1a47418bf50d91cbe210be8a66567 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_0e99b22ac2d0168f/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "n15", + "started_at": "2026-05-19T15:39:30.213244+00:00", + "ended_at": "2026-05-19T15:39:59.256802+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n15_0e99b22ac2d0168f", + "problem_id": "v2p_n15_c3d10544632709a8", + "dataset_id": "n15", + "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=MAUT2, measure_col=MAUT2.", + "bindings": { + "group_col": "MAUT2", + "measure_col": "MAUT2", + "item_col": "MOSTYPE", + "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": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=9", + "sql_variant_index=1/2", + "binding_index=32" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_0e99b22ac2d0168f.sql", + "usage_summary": { + "dataset_id": "n15", + "model": "v2-cli:codex", + "run_id": "v2q_n15_0e99b22ac2d0168f", + "api_calls": 0, + "input_tokens": 23127, + "cached_input_tokens": 21888, + "output_tokens": 1555, + "total_tokens": 24682, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 29026.84, + "sql_execution_elapsed_ms_total": 9.02, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_0e99b22ac2d0168f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_0e99b22ac2d0168f/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_0e99b22ac2d0168f/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..54b145cb27d322931eae03722ff1c99f66381b40 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_0e99b22ac2d0168f/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:39:59.245068+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 29026.84, "started_at": "2026-05-19T15:39:30.217319+00:00", "ended_at": "2026-05-19T15:39:59.244181+00:00", "prompt_metrics": {"chars": 33481, "bytes_utf8": 33481, "lines": 1130, "estimated_tokens": null}, "response_metrics": {"chars": 842, "bytes_utf8": 842, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 23127, "cached_input_tokens": 21888, "output_tokens": 1555, "reasoning_output_tokens": 1290}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nWITH \\\"grouped\\\" AS (\\n SELECT\\n \\\"MAUT2\\\",\\n \\\"MOSTYPE\\\",\\n SUM(CAST(\\\"MAUT2\\\" AS REAL)) AS \\\"total_measure\\\"\\n FROM \\\"n15\\\"\\n GROUP BY \\\"MAUT2\\\", \\\"MOSTYPE\\\"\\n)\\nSELECT\\n \\\"MAUT2\\\",\\n \\\"MOSTYPE\\\",\\n \\\"total_measure\\\",\\n CASE\\n WHEN SUM(\\\"total_measure\\\") OVER (PARTITION BY \\\"MAUT2\\\") = 0 THEN NULL\\n ELSE \\\"total_measure\\\" * 100.0 / SUM(\\\"total_measure\\\") OVER (PARTITION BY \\\"MAUT2\\\")\\n END AS \\\"share_within_group\\\"\\nFROM \\\"grouped\\\"\\nORDER BY \\\"share_within_group\\\" DESC, \\\"MAUT2\\\", \\\"MOSTYPE\\\"\\nLIMIT 12;\",\"notes\":\"Uses the requested template roles with group_col=\\\"MAUT2\\\", item_col=\\\"MOSTYPE\\\", and measure_col=\\\"MAUT2\\\". CAST is applied because the schema stores fields as TEXT, and the CASE avoids division-by-zero for groups where \\\"MAUT2\\\" sums to 0.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_0e99b22ac2d0168f/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_0e99b22ac2d0168f/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..1b400bd224587d80843c25d1949b1d4e39d2b93c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_0e99b22ac2d0168f/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n15", + "model": "v2-cli:codex", + "run_id": "v2q_n15_0e99b22ac2d0168f", + "api_calls": 0, + "input_tokens": 23127, + "cached_input_tokens": 21888, + "output_tokens": 1555, + "total_tokens": 24682, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 29026.84, + "sql_execution_elapsed_ms_total": 9.02, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_0e99b22ac2d0168f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_1ee19d135dbabc1b/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_1ee19d135dbabc1b/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..539efa0e522a7f3aec91d6fddc71c0d520eb9014 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_1ee19d135dbabc1b/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "n15", + "started_at": "2026-05-19T16:10:35.474201+00:00", + "ended_at": "2026-05-19T16:10:43.300558+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n15_1ee19d135dbabc1b", + "problem_id": "v2p_n15_acfce5e8198c0535", + "dataset_id": "n15", + "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=MZPART.", + "bindings": { + "group_col": "MZPART", + "top_k": 16, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=2/2", + "binding_index=121" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "problem_index_within_template": 2, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_1ee19d135dbabc1b/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_1ee19d135dbabc1b/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..fbf78265a779010266457e5c6db654202c1fbcb1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_1ee19d135dbabc1b/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:10:38.368297+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": 2888.82, "started_at": "2026-05-19T16:10:35.478446+00:00", "ended_at": "2026-05-19T16:10:38.367294+00:00", "prompt_metrics": {"chars": 33071, "bytes_utf8": 33071, "lines": 1126, "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-db5b-7741-8b21-b5d40df401b8\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:10:43.300466+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": 3928.3, "started_at": "2026-05-19T16:10:39.371244+00:00", "ended_at": "2026-05-19T16:10:43.299595+00:00", "prompt_metrics": {"chars": 33071, "bytes_utf8": 33071, "lines": 1126, "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-eaaf-76f1-9737-6ea9d0982730\"}\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/n15/artifacts/v2q_n15_262ff99e9d302cc9/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_262ff99e9d302cc9/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..962c227d2a04f364717ff3f4126867e7fac335c1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_262ff99e9d302cc9/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=APERSONG, measure_col=MBERARBG. +Result preview: [{"APERSONG": "0", "group_value": 21766.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_262ff99e9d302cc9/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_262ff99e9d302cc9/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..a6fe4f6dbcef956a737261e57118ff58dcd33129 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_262ff99e9d302cc9/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: n15 +-- 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_n15_262ff99e9d302cc9 +-- problem_id: v2p_n15_d5e1e88865e2428e +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "APERSONG", SUM(CAST("MBERARBG" AS REAL)) AS group_value + FROM "n15" + GROUP BY "APERSONG" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."APERSONG", 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/n15/artifacts/v2q_n15_262ff99e9d302cc9/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_262ff99e9d302cc9/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7c51149e43cac0ace6ab6b1142d449cf6ee86a62 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_262ff99e9d302cc9/query_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 \"APERSONG\", SUM(CAST(\"MBERARBG\" AS REAL)) AS group_value\n FROM \"n15\"\n GROUP BY \"APERSONG\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"APERSONG\", 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 \\\"APERSONG\\\", SUM(CAST(\\\"MBERARBG\\\" AS REAL)) AS group_value\\n FROM \\\"n15\\\"\\n GROUP BY \\\"APERSONG\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"APERSONG\\\", 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\": [\"APERSONG\", \"group_value\"], \"rows\": [{\"APERSONG\": \"0\", \"group_value\": 21766.0}], \"row_count_returned\": 1, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 5.8}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_262ff99e9d302cc9/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_262ff99e9d302cc9/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..1853fba2033fa8147a32159743ba86c909b88a90 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_262ff99e9d302cc9/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "n15", + "started_at": "2026-05-19T15:51:29.407159+00:00", + "ended_at": "2026-05-19T15:51:42.259420+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n15_262ff99e9d302cc9", + "problem_id": "v2p_n15_d5e1e88865e2428e", + "dataset_id": "n15", + "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=APERSONG, measure_col=MBERARBG.", + "bindings": { + "group_col": "APERSONG", + "measure_col": "MBERARBG", + "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": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=1/2", + "binding_index=76" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_262ff99e9d302cc9.sql", + "usage_summary": { + "dataset_id": "n15", + "model": "v2-cli:codex", + "run_id": "v2q_n15_262ff99e9d302cc9", + "api_calls": 0, + "input_tokens": 23146, + "cached_input_tokens": 21888, + "output_tokens": 597, + "total_tokens": 23743, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12834.24, + "sql_execution_elapsed_ms_total": 5.8, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_262ff99e9d302cc9/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_262ff99e9d302cc9/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_262ff99e9d302cc9/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9b02a32e214a96ee221170d08898f7bd774f0a5e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_262ff99e9d302cc9/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:51:42.251448+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 12834.24, "started_at": "2026-05-19T15:51:29.416286+00:00", "ended_at": "2026-05-19T15:51:42.250572+00:00", "prompt_metrics": {"chars": 33638, "bytes_utf8": 33638, "lines": 1128, "estimated_tokens": null}, "response_metrics": {"chars": 640, "bytes_utf8": 640, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 23146, "cached_input_tokens": 21888, "output_tokens": 597, "reasoning_output_tokens": 417}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"APERSONG\\\", SUM(CAST(\\\"MBERARBG\\\" AS REAL)) AS group_value\\n FROM \\\"n15\\\"\\n GROUP BY \\\"APERSONG\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"APERSONG\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\",\"notes\":\"Uses the planned Relative-to-Total Extreme Threshold template with group_col=\\\"APERSONG\\\" and measure_col=\\\"MBERARBG\\\". \\\"MBERARBG\\\" is cast to REAL because the schema snapshot stores columns as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_262ff99e9d302cc9/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_262ff99e9d302cc9/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..7d721aea65e8355171a25d9aaaf9b30f8c993e3e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_262ff99e9d302cc9/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n15", + "model": "v2-cli:codex", + "run_id": "v2q_n15_262ff99e9d302cc9", + "api_calls": 0, + "input_tokens": 23146, + "cached_input_tokens": 21888, + "output_tokens": 597, + "total_tokens": 23743, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12834.24, + "sql_execution_elapsed_ms_total": 5.8, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_262ff99e9d302cc9/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_26771332caf1bcd0/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_26771332caf1bcd0/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..2c87e92f8351fcf8150036ac9bce36987a9fcb57 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_26771332caf1bcd0/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "n15", + "started_at": "2026-05-19T16:14:10.208773+00:00", + "ended_at": "2026-05-19T16:14:17.400903+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n15_26771332caf1bcd0", + "problem_id": "v2p_n15_c6ec6213722a4239", + "dataset_id": "n15", + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "slice_level_consistency", + "intended_facet_id": "conditional_interaction_hotspots", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=PLEVEN, measure_col=MAUT2.", + "bindings": { + "group_col": "PLEVEN", + "measure_col": "MAUT2", + "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": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=rule", + "problem_index_within_template=9", + "sql_variant_index=1/2", + "binding_index=140" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_26771332caf1bcd0/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_26771332caf1bcd0/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..38ff4987618d3d9914a83dcadd845da1d289e3c8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_26771332caf1bcd0/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:14:13.679562+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": 3466.44, "started_at": "2026-05-19T16:14:10.212295+00:00", "ended_at": "2026-05-19T16:14:13.678763+00:00", "prompt_metrics": {"chars": 33160, "bytes_utf8": 33160, "lines": 1128, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e4104-2246-7e70-acc4-8c2744d8f144\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:14:17.400806+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": 2717.57, "started_at": "2026-05-19T16:14:14.682177+00:00", "ended_at": "2026-05-19T16:14:17.399802+00:00", "prompt_metrics": {"chars": 33160, "bytes_utf8": 33160, "lines": 1128, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e4104-338d-7921-9ae7-287182e8fd3f\"}\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/n15/artifacts/v2q_n15_2fae1e864831202e/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_2fae1e864831202e/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..c2f02e3811de3731d657414f35fcf11c429375fa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_2fae1e864831202e/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "2", "support": 2520, "support_share": 0.2565668906536347, "support_rank": 1}, {"value_label": "4", "support": 1668, "support_share": 0.16982284667073916, "support_rank": 2}, {"value_label": "0", "support": 1436, "support_share": 0.14620240276929342, "support_rank": 3}, {"value_label": "3", "support": 1415, "support_share": 0.1440643453471798, "support_rank": 4}, {"value_label": "1", "support": 1178, "support_share": 0.11993484015475463, "support_rank": 5}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_2fae1e864831202e/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_2fae1e864831202e/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..71c75f6362c01789cabd0c91641249107e530418 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_2fae1e864831202e/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: n15 +-- 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_n15_2fae1e864831202e +-- problem_id: v2p_n15_0b092869772a8edb +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "MZPART" AS value_label, COUNT(*) AS support + FROM "n15" + GROUP BY "MZPART" +) +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/n15/artifacts/v2q_n15_2fae1e864831202e/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_2fae1e864831202e/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ac425c392fd471864f8a8d8087be684c54a62e2c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_2fae1e864831202e/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: n15\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_n15_2fae1e864831202e\n-- problem_id: v2p_n15_0b092869772a8edb\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"MZPART\" AS value_label, COUNT(*) AS support\n FROM \"n15\"\n GROUP BY \"MZPART\"\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: n15\\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_n15_2fae1e864831202e\\n-- problem_id: v2p_n15_0b092869772a8edb\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"MZPART\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"n15\\\"\\n GROUP BY \\\"MZPART\\\"\\n)\\nSELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\\nFROM grouped\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"support_rank\"], \"rows\": [{\"value_label\": \"2\", \"support\": 2520, \"support_share\": 0.2565668906536347, \"support_rank\": 1}, {\"value_label\": \"4\", \"support\": 1668, \"support_share\": 0.16982284667073916, \"support_rank\": 2}, {\"value_label\": \"0\", \"support\": 1436, \"support_share\": 0.14620240276929342, \"support_rank\": 3}, {\"value_label\": \"3\", \"support\": 1415, \"support_share\": 0.1440643453471798, \"support_rank\": 4}, {\"value_label\": \"1\", \"support\": 1178, \"support_share\": 0.11993484015475463, \"support_rank\": 5}, {\"value_label\": \"5\", \"support\": 639, \"support_share\": 0.06505803298717165, \"support_rank\": 6}, {\"value_label\": \"7\", \"support\": 518, \"support_share\": 0.052738749745469354, \"support_rank\": 7}, {\"value_label\": \"6\", \"support\": 316, \"support_share\": 0.032172673589900225, \"support_rank\": 8}, {\"value_label\": \"9\", \"support\": 109, \"support_share\": 0.01109753614335166, \"support_rank\": 9}, {\"value_label\": \"8\", \"support\": 23, \"support_share\": 0.002341681938505396, \"support_rank\": 10}], \"row_count_returned\": 10, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 5.03}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_2fae1e864831202e/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_2fae1e864831202e/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..d855075a6a25f1fd17686d132a118ff82696af28 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_2fae1e864831202e/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "n15", + "started_at": "2026-05-19T16:14:24.914588+00:00", + "ended_at": "2026-05-19T16:14:24.920436+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n15_2fae1e864831202e", + "problem_id": "v2p_n15_0b092869772a8edb", + "dataset_id": "n15", + "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=MZPART.", + "bindings": { + "group_col": "MZPART" + }, + "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/n15/sql/v2q_n15_2fae1e864831202e.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/n15/artifacts/v2q_n15_2fae1e864831202e/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_2fae1e864831202e/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_2fae1e864831202e/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/n15/artifacts/v2q_n15_3099a42a3fbee60b/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_3099a42a3fbee60b/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..6c1cac8369a9e7eadfc9f31d2a0a2cf8a6ccdeda --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_3099a42a3fbee60b/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "n15", + "started_at": "2026-05-19T16:12:05.875156+00:00", + "ended_at": "2026-05-19T16:12:12.937099+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n15_3099a42a3fbee60b", + "problem_id": "v2p_n15_26720f1ba566f715", + "dataset_id": "n15", + "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=MINKGEM.", + "bindings": { + "group_col": "MINKGEM", + "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": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=8", + "sql_variant_index=2/2", + "binding_index=127" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "problem_index_within_template": 8, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "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/n15/artifacts/v2q_n15_3099a42a3fbee60b/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_3099a42a3fbee60b/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..bc0f8cee13cc4478bffbb12601ff4358e027fc79 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_3099a42a3fbee60b/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:12:08.794903+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 2915.75, "started_at": "2026-05-19T16:12:05.878367+00:00", "ended_at": "2026-05-19T16:12:08.794140+00:00", "prompt_metrics": {"chars": 33073, "bytes_utf8": 33073, "lines": 1126, "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\":\"019e4102-3c80-7371-8770-758538aceefc\"}\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": "2026-05-19T16:12:12.936911+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": 3139.72, "started_at": "2026-05-19T16:12:09.796350+00:00", "ended_at": "2026-05-19T16:12:12.936106+00:00", "prompt_metrics": {"chars": 33073, "bytes_utf8": 33073, "lines": 1126, "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\":\"019e4102-4bbd-7f62-8af9-77a6e3d7d0c9\"}\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/n15/artifacts/v2q_n15_34568afc8982dcb3/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_34568afc8982dcb3/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..82c7fc52901a24a7a8d318aee8bf3d9af2b795ad --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_34568afc8982dcb3/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=MFWEKIND, condition_col=MGODOV. +Result preview: [{"MFWEKIND": "6", "condition_rate": 0.4689863842662632}, {"MFWEKIND": "9", "condition_rate": 0.4594594594594595}, {"MFWEKIND": "0", "condition_rate": 0.4567901234567901}, {"MFWEKIND": "5", "condition_rate": 0.4462279293739968}, {"MFWEKIND": "8", "condition_rate": 0.39882697947214074}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_34568afc8982dcb3/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_34568afc8982dcb3/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..0858bf2accfa491b2610b94230f844fc01c4026e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_34568afc8982dcb3/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: n15 +-- 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_n15_34568afc8982dcb3 +-- problem_id: v2p_n15_1aa22c17f87fef38 +-- realization_mode: agent +-- source_kind: agent +SELECT "MFWEKIND", + AVG(CASE WHEN "MGODOV" = '0' THEN 1 ELSE 0 END) AS "condition_rate" +FROM "n15" +GROUP BY "MFWEKIND" +ORDER BY "condition_rate" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_34568afc8982dcb3/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_34568afc8982dcb3/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8d70908147475022e071fb96bf66a6c53f36e006 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_34568afc8982dcb3/query_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 \"MFWEKIND\",\n AVG(CASE WHEN \"MGODOV\" = '0' THEN 1 ELSE 0 END) AS \"condition_rate\"\nFROM \"n15\"\nGROUP BY \"MFWEKIND\"\nORDER BY \"condition_rate\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"MFWEKIND\\\",\\n AVG(CASE WHEN \\\"MGODOV\\\" = '0' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"n15\\\"\\nGROUP BY \\\"MFWEKIND\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\", \"columns\": [\"MFWEKIND\", \"condition_rate\"], \"rows\": [{\"MFWEKIND\": \"6\", \"condition_rate\": 0.4689863842662632}, {\"MFWEKIND\": \"9\", \"condition_rate\": 0.4594594594594595}, {\"MFWEKIND\": \"0\", \"condition_rate\": 0.4567901234567901}, {\"MFWEKIND\": \"5\", \"condition_rate\": 0.4462279293739968}, {\"MFWEKIND\": \"8\", \"condition_rate\": 0.39882697947214074}, {\"MFWEKIND\": \"2\", \"condition_rate\": 0.3239051094890511}, {\"MFWEKIND\": \"4\", \"condition_rate\": 0.3071104387291982}, {\"MFWEKIND\": \"7\", \"condition_rate\": 0.2911813643926789}, {\"MFWEKIND\": \"3\", \"condition_rate\": 0.262531328320802}, {\"MFWEKIND\": \"1\", \"condition_rate\": 0.1368421052631579}], \"row_count_returned\": 10, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 7.79}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_34568afc8982dcb3/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_34568afc8982dcb3/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..25e5f5674dfac599666009d3f329dbf7db20c8ab --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_34568afc8982dcb3/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "n15", + "started_at": "2026-05-19T16:07:38.240312+00:00", + "ended_at": "2026-05-19T16:07:50.996516+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n15_34568afc8982dcb3", + "problem_id": "v2p_n15_1aa22c17f87fef38", + "dataset_id": "n15", + "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=MFWEKIND, condition_col=MGODOV.", + "bindings": { + "group_col": "MFWEKIND", + "condition_col": "MGODOV", + "condition_value": "0", + "positive_value": "1", + "negative_value": "0", + "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": 5.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=2/2", + "binding_index=100" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 5, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_34568afc8982dcb3.sql", + "usage_summary": { + "dataset_id": "n15", + "model": "v2-cli:codex", + "run_id": "v2q_n15_34568afc8982dcb3", + "api_calls": 0, + "input_tokens": 23071, + "cached_input_tokens": 12032, + "output_tokens": 626, + "total_tokens": 23697, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12740.37, + "sql_execution_elapsed_ms_total": 7.79, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_34568afc8982dcb3/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_34568afc8982dcb3/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_34568afc8982dcb3/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7db5a0386de86b96de369b37dae98426d4248a0a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_34568afc8982dcb3/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:07:50.986079+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 12740.37, "started_at": "2026-05-19T16:07:38.243725+00:00", "ended_at": "2026-05-19T16:07:50.984128+00:00", "prompt_metrics": {"chars": 33327, "bytes_utf8": 33327, "lines": 1131, "estimated_tokens": null}, "response_metrics": {"chars": 420, "bytes_utf8": 420, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 23071, "cached_input_tokens": 12032, "output_tokens": 626, "reasoning_output_tokens": 503}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"MFWEKIND\\\",\\n AVG(CASE WHEN \\\"MGODOV\\\" = '0' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"n15\\\"\\nGROUP BY \\\"MFWEKIND\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Grouped condition rate by \\\"MFWEKIND\\\", measuring the share of rows where \\\"MGODOV\\\" = '0'. String comparison is used because the provided SQLite schema stores these columns as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_34568afc8982dcb3/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_34568afc8982dcb3/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..e28fcb2eaacab89f16b23810677b0465e87efbc9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_34568afc8982dcb3/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n15", + "model": "v2-cli:codex", + "run_id": "v2q_n15_34568afc8982dcb3", + "api_calls": 0, + "input_tokens": 23071, + "cached_input_tokens": 12032, + "output_tokens": 626, + "total_tokens": 23697, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12740.37, + "sql_execution_elapsed_ms_total": 7.79, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_34568afc8982dcb3/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_48930307b443a92e/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_48930307b443a92e/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..91290785b0d033b65aeb9007e06aa154dca5a6cc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_48930307b443a92e/run_manifest.json @@ -0,0 +1,72 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "n15", + "started_at": "2026-05-19T16:08:14.137211+00:00", + "ended_at": "2026-05-19T16:08:36.417834+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n15_48930307b443a92e", + "problem_id": "v2p_n15_1efb7ca7c2912e47", + "dataset_id": "n15", + "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=MOPLMIDD, condition_col=MBERZELF.", + "bindings": { + "group_col": "MOPLMIDD", + "condition_col": "MBERZELF", + "condition_value": "0", + "positive_value": "1", + "negative_value": "0", + "top_k": 17, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=7", + "sql_variant_index=2/2", + "binding_index=102" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 7, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "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/n15/artifacts/v2q_n15_48930307b443a92e/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_48930307b443a92e/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..bc25af0654c94014f5c28e8cff9af03a6ae50308 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_48930307b443a92e/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:08:31.538784+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": 17397.69, "started_at": "2026-05-19T16:08:14.140259+00:00", "ended_at": "2026-05-19T16:08:31.537972+00:00", "prompt_metrics": {"chars": 33331, "bytes_utf8": 33331, "lines": 1131, "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-b341-71d3-bca2-9c75d7fd98a3\"}\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": "2026-05-19T16:08:36.417743+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": 3876.52, "started_at": "2026-05-19T16:08:32.540370+00:00", "ended_at": "2026-05-19T16:08:36.416920+00:00", "prompt_metrics": {"chars": 33331, "bytes_utf8": 33331, "lines": 1131, "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-fb16-74d1-8338-034d6062163c\"}\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/n15/artifacts/v2q_n15_49b2d3b273fc0a17/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_49b2d3b273fc0a17/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..229c98bd8bcd2fd5c133a81c31b605d694026e8c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_49b2d3b273fc0a17/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=MOSHOOFD, measure_col=MOSHOOFD. +Result preview: [{"MOSHOOFD": "8", "total_measure": 21552}, {"MOSHOOFD": "9", "total_measure": 9999}, {"MOSHOOFD": "7", "total_measure": 6167}, {"MOSHOOFD": "10", "total_measure": 4920}, {"MOSHOOFD": "5", "total_measure": 4700}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_49b2d3b273fc0a17/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_49b2d3b273fc0a17/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..937ddfd9118c3e6cf388248ef961ea89934e797f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_49b2d3b273fc0a17/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: n15 +-- 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_n15_49b2d3b273fc0a17 +-- problem_id: v2p_n15_d23ca2f3cf7c218f +-- realization_mode: agent +-- source_kind: agent +SELECT "MOSHOOFD", SUM(CAST("MOSHOOFD" AS INTEGER)) AS "total_measure" +FROM "n15" +GROUP BY "MOSHOOFD" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_49b2d3b273fc0a17/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_49b2d3b273fc0a17/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..93827b9b479be9687c1088c7c7823f98ec4866d2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_49b2d3b273fc0a17/query_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 \"MOSHOOFD\", SUM(CAST(\"MOSHOOFD\" AS INTEGER)) AS \"total_measure\"\nFROM \"n15\"\nGROUP BY \"MOSHOOFD\"\nORDER BY \"total_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"MOSHOOFD\\\", SUM(CAST(\\\"MOSHOOFD\\\" AS INTEGER)) AS \\\"total_measure\\\"\\nFROM \\\"n15\\\"\\nGROUP BY \\\"MOSHOOFD\\\"\\nORDER BY \\\"total_measure\\\" DESC;\", \"columns\": [\"MOSHOOFD\", \"total_measure\"], \"rows\": [{\"MOSHOOFD\": \"8\", \"total_measure\": 21552}, {\"MOSHOOFD\": \"9\", \"total_measure\": 9999}, {\"MOSHOOFD\": \"7\", \"total_measure\": 6167}, {\"MOSHOOFD\": \"10\", \"total_measure\": 4920}, {\"MOSHOOFD\": \"5\", \"total_measure\": 4700}, {\"MOSHOOFD\": \"3\", \"total_measure\": 4539}, {\"MOSHOOFD\": \"6\", \"total_measure\": 1956}, {\"MOSHOOFD\": \"2\", \"total_measure\": 1654}, {\"MOSHOOFD\": \"1\", \"total_measure\": 959}, {\"MOSHOOFD\": \"4\", \"total_measure\": 316}], \"row_count_returned\": 10, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 4.79}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_49b2d3b273fc0a17/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_49b2d3b273fc0a17/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..9c75e4d50ec67a4d072e27c956066bc9df77f411 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_49b2d3b273fc0a17/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "n15", + "started_at": "2026-05-19T15:29:50.056397+00:00", + "ended_at": "2026-05-19T15:30:01.489950+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n15_49b2d3b273fc0a17", + "problem_id": "v2p_n15_d23ca2f3cf7c218f", + "dataset_id": "n15", + "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=MOSHOOFD, measure_col=MOSHOOFD.", + "bindings": { + "group_col": "MOSHOOFD", + "measure_col": "MOSHOOFD", + "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": 8.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'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/n15/sql/v2q_n15_49b2d3b273fc0a17.sql", + "usage_summary": { + "dataset_id": "n15", + "model": "v2-cli:codex", + "run_id": "v2q_n15_49b2d3b273fc0a17", + "api_calls": 0, + "input_tokens": 23010, + "cached_input_tokens": 12032, + "output_tokens": 358, + "total_tokens": 23368, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11418.42, + "sql_execution_elapsed_ms_total": 4.79, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_49b2d3b273fc0a17/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_49b2d3b273fc0a17/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_49b2d3b273fc0a17/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d459f8a2ad8d7d20aebe146e5d08e35205c7dcc7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_49b2d3b273fc0a17/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:30:01.483473+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 11418.42, "started_at": "2026-05-19T15:29:50.064252+00:00", "ended_at": "2026-05-19T15:30:01.482708+00:00", "prompt_metrics": {"chars": 33084, "bytes_utf8": 33084, "lines": 1128, "estimated_tokens": null}, "response_metrics": {"chars": 448, "bytes_utf8": 448, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 23010, "cached_input_tokens": 12032, "output_tokens": 358, "reasoning_output_tokens": 236}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"MOSHOOFD\\\", SUM(CAST(\\\"MOSHOOFD\\\" AS INTEGER)) AS \\\"total_measure\\\"\\nFROM \\\"n15\\\"\\nGROUP BY \\\"MOSHOOFD\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Used the required Grouped Numeric Sum template with group_col=\\\"MOSHOOFD\\\" and measure_col=\\\"MOSHOOFD\\\". CAST to INTEGER is applied because the SQLite schema stores this field as TEXT while the dataset semantics indicate numeric discrete values.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_49b2d3b273fc0a17/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_49b2d3b273fc0a17/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..e11a46caeb23f81ec9a78b1c7dbbf5d494ce32f3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_49b2d3b273fc0a17/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n15", + "model": "v2-cli:codex", + "run_id": "v2q_n15_49b2d3b273fc0a17", + "api_calls": 0, + "input_tokens": 23010, + "cached_input_tokens": 12032, + "output_tokens": 358, + "total_tokens": 23368, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11418.42, + "sql_execution_elapsed_ms_total": 4.79, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_49b2d3b273fc0a17/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_52793a6cb08400d4/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_52793a6cb08400d4/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..27cf9c157237b2b974a65b27725405d15f5a0f4b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_52793a6cb08400d4/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "n15", + "started_at": "2026-05-19T16:00:56.390453+00:00", + "ended_at": "2026-05-19T16:01:03.688900+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n15_52793a6cb08400d4", + "problem_id": "v2p_n15_3f640aeac3927984", + "dataset_id": "n15", + "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=MGEMOMV, measure_col=MZFONDS.", + "bindings": { + "group_col": "MGEMOMV", + "measure_col": "MZFONDS", + "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": 6.64, + "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=5", + "sql_variant_index=2/2", + "binding_index=88" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 5, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "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/n15/artifacts/v2q_n15_52793a6cb08400d4/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_52793a6cb08400d4/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..239d384751781c0b5dbb3c545321a07e67f73d31 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_52793a6cb08400d4/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:00:59.493912+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": 3097.39, "started_at": "2026-05-19T16:00:56.395694+00:00", "ended_at": "2026-05-19T16:00:59.493115+00:00", "prompt_metrics": {"chars": 33260, "bytes_utf8": 33260, "lines": 1128, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f8-0544-7030-861d-cedbac714016\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:01:03.688804+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3191.3, "started_at": "2026-05-19T16:01:00.496633+00:00", "ended_at": "2026-05-19T16:01:03.687981+00:00", "prompt_metrics": {"chars": 33260, "bytes_utf8": 33260, "lines": 1128, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f8-1573-7e83-b924-2bd93e3c3948\"}\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/n15/artifacts/v2q_n15_540bfa1180c2259d/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_540bfa1180c2259d/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..dd477a233908404e81a65e0494494a160ee80e06 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_540bfa1180c2259d/run_manifest.json @@ -0,0 +1,72 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "n15", + "started_at": "2026-05-19T16:06:51.082478+00:00", + "ended_at": "2026-05-19T16:06:58.470934+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n15_540bfa1180c2259d", + "problem_id": "v2p_n15_3c35fc448e206f57", + "dataset_id": "n15", + "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=MRELOV, condition_col=CARAVAN.", + "bindings": { + "group_col": "MRELOV", + "condition_col": "CARAVAN", + "condition_value": "1", + "positive_value": "0", + "negative_value": "1", + "top_k": 17, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2.25, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=2/2", + "binding_index=97" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 2, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "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/n15/artifacts/v2q_n15_540bfa1180c2259d/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_540bfa1180c2259d/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9b9fb4b18143f0c9057ecc8b21d35abe1c812dba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_540bfa1180c2259d/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:06:54.043293+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": 2956.1, "started_at": "2026-05-19T16:06:51.086283+00:00", "ended_at": "2026-05-19T16:06:54.042411+00:00", "prompt_metrics": {"chars": 33322, "bytes_utf8": 33322, "lines": 1131, "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-6ecb-77a0-b1d1-3172ebfa155d\"}\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": "2026-05-19T16:06:58.470847+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": 3424.84, "started_at": "2026-05-19T16:06:55.045195+00:00", "ended_at": "2026-05-19T16:06:58.470069+00:00", "prompt_metrics": {"chars": 33322, "bytes_utf8": 33322, "lines": 1131, "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-7e51-75f0-a24c-82ea04bfbef8\"}\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/n15/artifacts/v2q_n15_66607e173b4bcdd0/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_66607e173b4bcdd0/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..0438e295548c4a5004aa9c55a2ff2242094bf6a1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_66607e173b4bcdd0/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "0", "support": 9784, "support_share": 0.9961311341885563, "support_rank": 1}, {"value_label": "1", "support": 34, "support_share": 0.0034616167786601505, "support_rank": 2}, {"value_label": "2", "support": 4, "support_share": 0.00040724903278354713, "support_rank": 3}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_66607e173b4bcdd0/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_66607e173b4bcdd0/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..f6e9ea34652514a313cbb11d0d74eea04a05f459 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_66607e173b4bcdd0/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: n15 +-- 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_n15_66607e173b4bcdd0 +-- problem_id: v2p_n15_0d8d4b697e57cf20 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "AWAOREG" AS value_label, COUNT(*) AS support + FROM "n15" + GROUP BY "AWAOREG" +) +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/n15/artifacts/v2q_n15_66607e173b4bcdd0/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_66607e173b4bcdd0/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7fc333b308172b15348d5e124b8f52afe5116b42 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_66607e173b4bcdd0/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: n15\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_n15_66607e173b4bcdd0\n-- problem_id: v2p_n15_0d8d4b697e57cf20\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"AWAOREG\" AS value_label, COUNT(*) AS support\n FROM \"n15\"\n GROUP BY \"AWAOREG\"\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: n15\\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_n15_66607e173b4bcdd0\\n-- problem_id: v2p_n15_0d8d4b697e57cf20\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"AWAOREG\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"n15\\\"\\n GROUP BY \\\"AWAOREG\\\"\\n)\\nSELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\\nFROM grouped\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"support_rank\"], \"rows\": [{\"value_label\": \"0\", \"support\": 9784, \"support_share\": 0.9961311341885563, \"support_rank\": 1}, {\"value_label\": \"1\", \"support\": 34, \"support_share\": 0.0034616167786601505, \"support_rank\": 2}, {\"value_label\": \"2\", \"support\": 4, \"support_share\": 0.00040724903278354713, \"support_rank\": 3}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 4.67}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_66607e173b4bcdd0/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_66607e173b4bcdd0/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..2adeb7c232293731b2657dab4feed665232107f0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_66607e173b4bcdd0/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "n15", + "started_at": "2026-05-19T16:14:24.950064+00:00", + "ended_at": "2026-05-19T16:14:24.955696+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n15_66607e173b4bcdd0", + "problem_id": "v2p_n15_0d8d4b697e57cf20", + "dataset_id": "n15", + "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=AWAOREG.", + "bindings": { + "group_col": "AWAOREG" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=12", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 12, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_66607e173b4bcdd0.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/n15/artifacts/v2q_n15_66607e173b4bcdd0/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_66607e173b4bcdd0/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_66607e173b4bcdd0/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/n15/artifacts/v2q_n15_69ec0d6ed097b1d9/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_69ec0d6ed097b1d9/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..358d10766461f650f60e505f7c3af61dab5fecd7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_69ec0d6ed097b1d9/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=MOSHOOFD, measure_col=MINKM30. +Result preview: [{"MOSHOOFD": "4", "percentile_measure": 8.0}, {"MOSHOOFD": "6", "percentile_measure": 7.0}, {"MOSHOOFD": "7", "percentile_measure": 7.0}, {"MOSHOOFD": "5", "percentile_measure": 6.0}, {"MOSHOOFD": "9", "percentile_measure": 6.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_69ec0d6ed097b1d9/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_69ec0d6ed097b1d9/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..e5900d85f5f8fa0d14240fa2d75eb3499a776915 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_69ec0d6ed097b1d9/generated_sql.sql @@ -0,0 +1,66 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: n15 +-- 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_n15_69ec0d6ed097b1d9 +-- problem_id: v2p_n15_b7261a908a1936cc +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "MOSHOOFD", + CAST("MINKM30" AS REAL) AS "measure_value", + ROW_NUMBER() OVER ( + PARTITION BY "MOSHOOFD" + ORDER BY CAST("MINKM30" AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "MOSHOOFD" + ) AS "cnt" + FROM "n15" + WHERE "MOSHOOFD" IS NOT NULL + AND "MINKM30" IS NOT NULL +), +"pos" AS ( + SELECT DISTINCT + "MOSHOOFD", + "cnt", + (1.0 + (0.9 * ("cnt" - 1))) AS "pct_pos", + CAST(1.0 + (0.9 * ("cnt" - 1)) AS INTEGER) AS "lower_rn", + CASE + WHEN (1.0 + (0.9 * ("cnt" - 1))) = CAST(1.0 + (0.9 * ("cnt" - 1)) AS INTEGER) + THEN CAST(1.0 + (0.9 * ("cnt" - 1)) AS INTEGER) + ELSE CAST(1.0 + (0.9 * ("cnt" - 1)) AS INTEGER) + 1 + END AS "upper_rn" + FROM "ranked" +), +"picked" AS ( + SELECT + p."MOSHOOFD", + p."pct_pos", + p."lower_rn", + p."upper_rn", + MAX(CASE WHEN r."rn" = p."lower_rn" THEN r."measure_value" END) AS "lower_val", + MAX(CASE WHEN r."rn" = p."upper_rn" THEN r."measure_value" END) AS "upper_val" + FROM "pos" AS p + JOIN "ranked" AS r + ON r."MOSHOOFD" = p."MOSHOOFD" + GROUP BY + p."MOSHOOFD", + p."pct_pos", + p."lower_rn", + p."upper_rn" +) +SELECT + "MOSHOOFD", + CASE + WHEN "lower_rn" = "upper_rn" THEN "lower_val" + ELSE "lower_val" + (("pct_pos" - "lower_rn") * ("upper_val" - "lower_val")) + END AS "percentile_measure" +FROM "picked" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_69ec0d6ed097b1d9/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_69ec0d6ed097b1d9/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3a7590871d44d3fc42f8e290978bf130853482e3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_69ec0d6ed097b1d9/query_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 \"MOSHOOFD\",\n CAST(\"MINKM30\" AS REAL) AS \"measure_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"MOSHOOFD\"\n ORDER BY CAST(\"MINKM30\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"MOSHOOFD\"\n ) AS \"cnt\"\n FROM \"n15\"\n WHERE \"MOSHOOFD\" IS NOT NULL\n AND \"MINKM30\" IS NOT NULL\n),\n\"pos\" AS (\n SELECT DISTINCT\n \"MOSHOOFD\",\n \"cnt\",\n (1.0 + (0.9 * (\"cnt\" - 1))) AS \"pct_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)\n ELSE CAST(1.0 + (0.9 * (\"cnt\" - 1)) AS INTEGER) + 1\n END AS \"upper_rn\"\n FROM \"ranked\"\n),\n\"picked\" AS (\n SELECT\n p.\"MOSHOOFD\",\n p.\"pct_pos\",\n p.\"lower_rn\",\n p.\"upper_rn\",\n MAX(CASE WHEN r.\"rn\" = p.\"lower_rn\" THEN r.\"measure_value\" END) AS \"lower_val\",\n MAX(CASE WHEN r.\"rn\" = p.\"upper_rn\" THEN r.\"measure_value\" END) AS \"upper_val\"\n FROM \"pos\" AS p\n JOIN \"ranked\" AS r\n ON r.\"MOSHOOFD\" = p.\"MOSHOOFD\"\n GROUP BY\n p.\"MOSHOOFD\",\n p.\"pct_pos\",\n p.\"lower_rn\",\n p.\"upper_rn\"\n)\nSELECT\n \"MOSHOOFD\",\n CASE\n WHEN \"lower_rn\" = \"upper_rn\" THEN \"lower_val\"\n ELSE \"lower_val\" + ((\"pct_pos\" - \"lower_rn\") * (\"upper_val\" - \"lower_val\"))\n END AS \"percentile_measure\"\nFROM \"picked\"\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"MOSHOOFD\\\",\\n CAST(\\\"MINKM30\\\" AS REAL) AS \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"MOSHOOFD\\\"\\n ORDER BY CAST(\\\"MINKM30\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"MOSHOOFD\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"n15\\\"\\n WHERE \\\"MOSHOOFD\\\" IS NOT NULL\\n AND \\\"MINKM30\\\" IS NOT NULL\\n),\\n\\\"pos\\\" AS (\\n SELECT DISTINCT\\n \\\"MOSHOOFD\\\",\\n \\\"cnt\\\",\\n (1.0 + (0.9 * (\\\"cnt\\\" - 1))) AS \\\"pct_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)\\n ELSE CAST(1.0 + (0.9 * (\\\"cnt\\\" - 1)) AS INTEGER) + 1\\n END AS \\\"upper_rn\\\"\\n FROM \\\"ranked\\\"\\n),\\n\\\"picked\\\" AS (\\n SELECT\\n p.\\\"MOSHOOFD\\\",\\n p.\\\"pct_pos\\\",\\n p.\\\"lower_rn\\\",\\n p.\\\"upper_rn\\\",\\n MAX(CASE WHEN r.\\\"rn\\\" = p.\\\"lower_rn\\\" THEN r.\\\"measure_value\\\" END) AS \\\"lower_val\\\",\\n MAX(CASE WHEN r.\\\"rn\\\" = p.\\\"upper_rn\\\" THEN r.\\\"measure_value\\\" END) AS \\\"upper_val\\\"\\n FROM \\\"pos\\\" AS p\\n JOIN \\\"ranked\\\" AS r\\n ON r.\\\"MOSHOOFD\\\" = p.\\\"MOSHOOFD\\\"\\n GROUP BY\\n p.\\\"MOSHOOFD\\\",\\n p.\\\"pct_pos\\\",\\n p.\\\"lower_rn\\\",\\n p.\\\"upper_rn\\\"\\n)\\nSELECT\\n \\\"MOSHOOFD\\\",\\n CASE\\n WHEN \\\"lower_rn\\\" = \\\"upper_rn\\\" THEN \\\"lower_val\\\"\\n ELSE \\\"lower_val\\\" + ((\\\"pct_pos\\\" - \\\"lower_rn\\\") * (\\\"upper_val\\\" - \\\"lower_val\\\"))\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"picked\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"MOSHOOFD\", \"percentile_measure\"], \"rows\": [{\"MOSHOOFD\": \"4\", \"percentile_measure\": 8.0}, {\"MOSHOOFD\": \"6\", \"percentile_measure\": 7.0}, {\"MOSHOOFD\": \"7\", \"percentile_measure\": 7.0}, {\"MOSHOOFD\": \"5\", \"percentile_measure\": 6.0}, {\"MOSHOOFD\": \"9\", \"percentile_measure\": 6.0}, {\"MOSHOOFD\": \"10\", \"percentile_measure\": 5.0}, {\"MOSHOOFD\": \"8\", \"percentile_measure\": 5.0}, {\"MOSHOOFD\": \"1\", \"percentile_measure\": 4.0}, {\"MOSHOOFD\": \"3\", \"percentile_measure\": 4.0}, {\"MOSHOOFD\": \"2\", \"percentile_measure\": 3.0}], \"row_count_returned\": 10, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 66.92}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_69ec0d6ed097b1d9/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_69ec0d6ed097b1d9/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..351639acbce3ec2f1a42168bf3c6218e6fb1bc7f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_69ec0d6ed097b1d9/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "n15", + "started_at": "2026-05-19T16:02:31.746370+00:00", + "ended_at": "2026-05-19T16:02:54.535729+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n15_69ec0d6ed097b1d9", + "problem_id": "v2p_n15_b7261a908a1936cc", + "dataset_id": "n15", + "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=MOSHOOFD, measure_col=MINKM30.", + "bindings": { + "group_col": "MOSHOOFD", + "measure_col": "MINKM30", + "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": 3.64, + "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=7", + "sql_variant_index=2/2", + "binding_index=90" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 7, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_69ec0d6ed097b1d9.sql", + "usage_summary": { + "dataset_id": "n15", + "model": "v2-cli:codex", + "run_id": "v2q_n15_69ec0d6ed097b1d9", + "api_calls": 0, + "input_tokens": 23048, + "cached_input_tokens": 12032, + "output_tokens": 1177, + "total_tokens": 24225, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 22713.93, + "sql_execution_elapsed_ms_total": 66.92, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_69ec0d6ed097b1d9/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_69ec0d6ed097b1d9/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_69ec0d6ed097b1d9/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..96bb4726adb8318e3df2e4454312dd4fe7989564 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_69ec0d6ed097b1d9/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:02:54.466359+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 22713.93, "started_at": "2026-05-19T16:02:31.750596+00:00", "ended_at": "2026-05-19T16:02:54.464560+00:00", "prompt_metrics": {"chars": 33262, "bytes_utf8": 33262, "lines": 1128, "estimated_tokens": null}, "response_metrics": {"chars": 1832, "bytes_utf8": 1832, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 23048, "cached_input_tokens": 12032, "output_tokens": 1177, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"MOSHOOFD\\\",\\n CAST(\\\"MINKM30\\\" AS REAL) AS \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"MOSHOOFD\\\"\\n ORDER BY CAST(\\\"MINKM30\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"MOSHOOFD\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"n15\\\"\\n WHERE \\\"MOSHOOFD\\\" IS NOT NULL\\n AND \\\"MINKM30\\\" IS NOT NULL\\n),\\n\\\"pos\\\" AS (\\n SELECT DISTINCT\\n \\\"MOSHOOFD\\\",\\n \\\"cnt\\\",\\n (1.0 + (0.9 * (\\\"cnt\\\" - 1))) AS \\\"pct_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)\\n ELSE CAST(1.0 + (0.9 * (\\\"cnt\\\" - 1)) AS INTEGER) + 1\\n END AS \\\"upper_rn\\\"\\n FROM \\\"ranked\\\"\\n),\\n\\\"picked\\\" AS (\\n SELECT\\n p.\\\"MOSHOOFD\\\",\\n p.\\\"pct_pos\\\",\\n p.\\\"lower_rn\\\",\\n p.\\\"upper_rn\\\",\\n "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_69ec0d6ed097b1d9/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_69ec0d6ed097b1d9/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..6e1bae35d0ce2d5666c22378265307b095eecff5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_69ec0d6ed097b1d9/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n15", + "model": "v2-cli:codex", + "run_id": "v2q_n15_69ec0d6ed097b1d9", + "api_calls": 0, + "input_tokens": 23048, + "cached_input_tokens": 12032, + "output_tokens": 1177, + "total_tokens": 24225, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 22713.93, + "sql_execution_elapsed_ms_total": 66.92, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_69ec0d6ed097b1d9/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_6dcae1e6cf27ae2c/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_6dcae1e6cf27ae2c/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a465c471eeba5d4b76f9b0b55242b080778c2260 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_6dcae1e6cf27ae2c/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: n15\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_n15_6dcae1e6cf27ae2c\n-- problem_id: v2p_n15_4bf04bf83321a9b6\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"MGODOV\" AS value_label, COUNT(*) AS support\n FROM \"n15\"\n GROUP BY \"MGODOV\"\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: n15\\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_n15_6dcae1e6cf27ae2c\\n-- problem_id: v2p_n15_4bf04bf83321a9b6\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"MGODOV\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"n15\\\"\\n GROUP BY \\\"MGODOV\\\"\\n), ranked AS (\\n SELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\\n FROM grouped\\n)\\nSELECT *\\nFROM ranked\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"cumulative_support\"], \"rows\": [{\"value_label\": \"0\", \"support\": 3460, \"support_share\": 0.35227041335776826, \"cumulative_support\": 3460}, {\"value_label\": \"1\", \"support\": 3391, \"support_share\": 0.3452453675422521, \"cumulative_support\": 6851}, {\"value_label\": \"2\", \"support\": 2294, \"support_share\": 0.23355732030136428, \"cumulative_support\": 9145}, {\"value_label\": \"3\", \"support\": 415, \"support_share\": 0.042252087151293014, \"cumulative_support\": 9560}, {\"value_label\": \"4\", \"support\": 220, \"support_share\": 0.022398696803095093, \"cumulative_support\": 9780}, {\"value_label\": \"5\", \"support\": 42, \"support_share\": 0.004276114844227245, \"cumulative_support\": 9822}], \"row_count_returned\": 6, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 5.15}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_6dcae1e6cf27ae2c/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_6dcae1e6cf27ae2c/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_6dcae1e6cf27ae2c/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/n15/artifacts/v2q_n15_6e630a0db712b417/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_6e630a0db712b417/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..5626f3db9f7599cb20af75c915b5427d726d7dbb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_6e630a0db712b417/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=MOPLHOOG. +Result preview: [{"MOPLHOOG": "0", "row_count": 3621}, {"MOPLHOOG": "1", "row_count": 2176}, {"MOPLHOOG": "2", "row_count": 1921}, {"MOPLHOOG": "3", "row_count": 927}, {"MOPLHOOG": "4", "row_count": 577}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_6e630a0db712b417/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_6e630a0db712b417/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..f0b435e0c131be17c65067fa3a9d320b6c72ccf6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_6e630a0db712b417/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: n15 +-- 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_n15_6e630a0db712b417 +-- problem_id: v2p_n15_0c7fa5ebb3682699 +-- realization_mode: agent +-- source_kind: agent +SELECT "MOPLHOOG", COUNT(*) AS "row_count" +FROM "n15" +GROUP BY "MOPLHOOG" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_6e630a0db712b417/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_6e630a0db712b417/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..231c286b025c58d78bf041c3fe9c57b24c299d51 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_6e630a0db712b417/query_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 \"MOPLHOOG\", COUNT(*) AS \"row_count\"\nFROM \"n15\"\nGROUP BY \"MOPLHOOG\"\nORDER BY \"row_count\" DESC;", "result": "{\"query\": \"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"MOPLHOOG\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"n15\\\"\\nGROUP BY \\\"MOPLHOOG\\\"\\nORDER BY \\\"row_count\\\" DESC;\", \"columns\": [\"MOPLHOOG\", \"row_count\"], \"rows\": [{\"MOPLHOOG\": \"0\", \"row_count\": 3621}, {\"MOPLHOOG\": \"1\", \"row_count\": 2176}, {\"MOPLHOOG\": \"2\", \"row_count\": 1921}, {\"MOPLHOOG\": \"3\", \"row_count\": 927}, {\"MOPLHOOG\": \"4\", \"row_count\": 577}, {\"MOPLHOOG\": \"5\", \"row_count\": 338}, {\"MOPLHOOG\": \"6\", \"row_count\": 123}, {\"MOPLHOOG\": \"7\", \"row_count\": 83}, {\"MOPLHOOG\": \"8\", \"row_count\": 39}, {\"MOPLHOOG\": \"9\", \"row_count\": 17}], \"row_count_returned\": 10, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 4.23}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_6e630a0db712b417/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_6e630a0db712b417/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..98e22625f425947bcb9a3aceb0700f3435dc77c4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_6e630a0db712b417/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "n15", + "started_at": "2026-05-19T15:33:20.392930+00:00", + "ended_at": "2026-05-19T15:33:41.005540+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n15_6e630a0db712b417", + "problem_id": "v2p_n15_0c7fa5ebb3682699", + "dataset_id": "n15", + "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=MOPLHOOG.", + "bindings": { + "group_col": "MOPLHOOG", + "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": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=1/1", + "binding_index=15" + ], + "template_selection_mode": "rule", + "selected_template_rank": 2, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_6e630a0db712b417.sql", + "usage_summary": { + "dataset_id": "n15", + "model": "v2-cli:codex", + "run_id": "v2q_n15_6e630a0db712b417", + "api_calls": 0, + "input_tokens": 22982, + "cached_input_tokens": 21888, + "output_tokens": 462, + "total_tokens": 23444, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 20597.75, + "sql_execution_elapsed_ms_total": 4.23, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_6e630a0db712b417/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_6e630a0db712b417/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_6e630a0db712b417/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..248a240db01ded3401a4d649d59a5abda897d824 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_6e630a0db712b417/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:33:40.999587+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 20597.75, "started_at": "2026-05-19T15:33:20.400933+00:00", "ended_at": "2026-05-19T15:33:40.998726+00:00", "prompt_metrics": {"chars": 32993, "bytes_utf8": 32993, "lines": 1126, "estimated_tokens": null}, "response_metrics": {"chars": 295, "bytes_utf8": 295, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 22982, "cached_input_tokens": 21888, "output_tokens": 462, "reasoning_output_tokens": 369}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"MOPLHOOG\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"n15\\\"\\nGROUP BY \\\"MOPLHOOG\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Used the planned Grouped Count by Category template with group_col bound to \\\"MOPLHOOG\\\" on the single table \\\"n15\\\".\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_6e630a0db712b417/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_6e630a0db712b417/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..f1c752587f58e0751d9c3dc37c7a7b3daa7470bc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_6e630a0db712b417/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n15", + "model": "v2-cli:codex", + "run_id": "v2q_n15_6e630a0db712b417", + "api_calls": 0, + "input_tokens": 22982, + "cached_input_tokens": 21888, + "output_tokens": 462, + "total_tokens": 23444, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 20597.75, + "sql_execution_elapsed_ms_total": 4.23, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_6e630a0db712b417/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_7ec6eb112f27ba14/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_7ec6eb112f27ba14/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..45a8b132c37106abb41b4d4aad68ea17eec08a33 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_7ec6eb112f27ba14/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=ABROM, measure_col=MBERBOER. +Result preview: [{"ABROM": "0", "group_value": 4864.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_7ec6eb112f27ba14/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_7ec6eb112f27ba14/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..007f25eb0e96b7746f86bfa2ad3d484447e8d66b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_7ec6eb112f27ba14/generated_sql.sql @@ -0,0 +1,30 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: n15 +-- 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_n15_7ec6eb112f27ba14 +-- problem_id: v2p_n15_781ac7c15eb0e181 +-- realization_mode: agent +-- source_kind: agent +WITH "grouped" AS ( + SELECT + "ABROM", + SUM(CAST("MBERBOER" AS REAL)) AS "group_value" + FROM "n15" + GROUP BY "ABROM" +), "total" AS ( + SELECT SUM("group_value") AS "total_value" + FROM "grouped" +) +SELECT + g."ABROM", + 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/n15/artifacts/v2q_n15_7ec6eb112f27ba14/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_7ec6eb112f27ba14/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ee2e2d7eae7ae42a736a5b8fb03d81bbe0a1de98 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_7ec6eb112f27ba14/query_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 \"ABROM\",\n SUM(CAST(\"MBERBOER\" AS REAL)) AS \"group_value\"\n FROM \"n15\"\n GROUP BY \"ABROM\"\n), \"total\" AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM \"grouped\"\n)\nSELECT\n g.\"ABROM\",\n g.\"group_value\"\nFROM \"grouped\" AS g\nCROSS JOIN \"total\" AS t\nWHERE g.\"group_value\" > t.\"total_value\" * 0.1\nORDER BY g.\"group_value\" DESC;", "result": "{\"query\": \"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n SELECT\\n \\\"ABROM\\\",\\n SUM(CAST(\\\"MBERBOER\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"n15\\\"\\n GROUP BY \\\"ABROM\\\"\\n), \\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT\\n g.\\\"ABROM\\\",\\n g.\\\"group_value\\\"\\nFROM \\\"grouped\\\" AS g\\nCROSS JOIN \\\"total\\\" AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.1\\nORDER BY g.\\\"group_value\\\" DESC;\", \"columns\": [\"ABROM\", \"group_value\"], \"rows\": [{\"ABROM\": \"0\", \"group_value\": 4864.0}], \"row_count_returned\": 1, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 8.5}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_7ec6eb112f27ba14/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_7ec6eb112f27ba14/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..b1fc126412abbb83cbf13371cdc817f01eee49e9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_7ec6eb112f27ba14/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "n15", + "started_at": "2026-05-19T15:50:16.508484+00:00", + "ended_at": "2026-05-19T15:50:35.698104+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n15_7ec6eb112f27ba14", + "problem_id": "v2p_n15_781ac7c15eb0e181", + "dataset_id": "n15", + "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=ABROM, measure_col=MBERBOER.", + "bindings": { + "group_col": "ABROM", + "measure_col": "MBERBOER", + "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": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=3", + "sql_variant_index=1/2", + "binding_index=74" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "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/n15/sql/v2q_n15_7ec6eb112f27ba14.sql", + "usage_summary": { + "dataset_id": "n15", + "model": "v2-cli:codex", + "run_id": "v2q_n15_7ec6eb112f27ba14", + "api_calls": 0, + "input_tokens": 23144, + "cached_input_tokens": 12032, + "output_tokens": 501, + "total_tokens": 23645, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 19171.96, + "sql_execution_elapsed_ms_total": 8.5, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_7ec6eb112f27ba14/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_7ec6eb112f27ba14/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_7ec6eb112f27ba14/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..03cf8988b659c3850daea1876cb9abd4c9436ea7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_7ec6eb112f27ba14/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:50:35.687636+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 19171.96, "started_at": "2026-05-19T15:50:16.514144+00:00", "ended_at": "2026-05-19T15:50:35.686137+00:00", "prompt_metrics": {"chars": 33632, "bytes_utf8": 33632, "lines": 1128, "estimated_tokens": null}, "response_metrics": {"chars": 692, "bytes_utf8": 692, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 23144, "cached_input_tokens": 12032, "output_tokens": 501, "reasoning_output_tokens": 292}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n SELECT\\n \\\"ABROM\\\",\\n SUM(CAST(\\\"MBERBOER\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"n15\\\"\\n GROUP BY \\\"ABROM\\\"\\n), \\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT\\n g.\\\"ABROM\\\",\\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 requested Relative-to-Total Extreme Threshold template with group_col=\\\"ABROM\\\", measure_col=\\\"MBERBOER\\\", and fraction_threshold=0.1. CAST is applied because the schema stores these fields as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_7ec6eb112f27ba14/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_7ec6eb112f27ba14/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..47980adf480a69788b1998c4e8fea4d2ba37fd31 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_7ec6eb112f27ba14/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n15", + "model": "v2-cli:codex", + "run_id": "v2q_n15_7ec6eb112f27ba14", + "api_calls": 0, + "input_tokens": 23144, + "cached_input_tokens": 12032, + "output_tokens": 501, + "total_tokens": 23645, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 19171.96, + "sql_execution_elapsed_ms_total": 8.5, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_7ec6eb112f27ba14/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_8841071f29b80019/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_8841071f29b80019/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..5b6d8810f70553bf9d01bcca3a7023d2b4300a8c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_8841071f29b80019/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=CARAVAN, measure_col=MAUT1. +Result preview: [{"CARAVAN": "1", "percentile_measure": 9.0}, {"CARAVAN": "0", "percentile_measure": 8.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_8841071f29b80019/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_8841071f29b80019/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..0229e54c55348f19cc8d08693d25191575eaaa84 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_8841071f29b80019/generated_sql.sql @@ -0,0 +1,34 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: n15 +-- 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_n15_8841071f29b80019 +-- problem_id: v2p_n15_ae47d0ab762cfec3 +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "CARAVAN", + CAST("MAUT1" AS REAL) AS "measure_value", + CUME_DIST() OVER ( + PARTITION BY "CARAVAN" + ORDER BY CAST("MAUT1" AS REAL) + ) AS "cdf", + COUNT(*) OVER (PARTITION BY "CARAVAN") AS "group_size" + FROM "n15" + WHERE "CARAVAN" IS NOT NULL + AND "MAUT1" IS NOT NULL +) +SELECT + "CARAVAN", + MIN("measure_value") AS "percentile_measure" +FROM "ranked" +WHERE "cdf" >= 0.9 + AND "group_size" >= 5 +GROUP BY "CARAVAN" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_8841071f29b80019/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_8841071f29b80019/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2398064294573a53a6b26d286f2cbaeaa2c23007 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_8841071f29b80019/query_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 \"CARAVAN\",\n CAST(\"MAUT1\" AS REAL) AS \"measure_value\",\n CUME_DIST() OVER (\n PARTITION BY \"CARAVAN\"\n ORDER BY CAST(\"MAUT1\" AS REAL)\n ) AS \"cdf\",\n COUNT(*) OVER (PARTITION BY \"CARAVAN\") AS \"group_size\"\n FROM \"n15\"\n WHERE \"CARAVAN\" IS NOT NULL\n AND \"MAUT1\" IS NOT NULL\n)\nSELECT\n \"CARAVAN\",\n MIN(\"measure_value\") AS \"percentile_measure\"\nFROM \"ranked\"\nWHERE \"cdf\" >= 0.9\n AND \"group_size\" >= 5\nGROUP BY \"CARAVAN\"\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"CARAVAN\\\",\\n CAST(\\\"MAUT1\\\" AS REAL) AS \\\"measure_value\\\",\\n CUME_DIST() OVER (\\n PARTITION BY \\\"CARAVAN\\\"\\n ORDER BY CAST(\\\"MAUT1\\\" AS REAL)\\n ) AS \\\"cdf\\\",\\n COUNT(*) OVER (PARTITION BY \\\"CARAVAN\\\") AS \\\"group_size\\\"\\n FROM \\\"n15\\\"\\n WHERE \\\"CARAVAN\\\" IS NOT NULL\\n AND \\\"MAUT1\\\" IS NOT NULL\\n)\\nSELECT\\n \\\"CARAVAN\\\",\\n MIN(\\\"measure_value\\\") AS \\\"percentile_measure\\\"\\nFROM \\\"ranked\\\"\\nWHERE \\\"cdf\\\" >= 0.9\\n AND \\\"group_size\\\" >= 5\\nGROUP BY \\\"CARAVAN\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"CARAVAN\", \"percentile_measure\"], \"rows\": [{\"CARAVAN\": \"1\", \"percentile_measure\": 9.0}, {\"CARAVAN\": \"0\", \"percentile_measure\": 8.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 30.86}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_8841071f29b80019/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_8841071f29b80019/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..2b2acd90c2724ab061b8b5d610b711024e17f325 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_8841071f29b80019/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "n15", + "started_at": "2026-05-19T15:55:51.755859+00:00", + "ended_at": "2026-05-19T15:56:31.733908+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n15_8841071f29b80019", + "problem_id": "v2p_n15_ae47d0ab762cfec3", + "dataset_id": "n15", + "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=CARAVAN, measure_col=MAUT1.", + "bindings": { + "group_col": "CARAVAN", + "measure_col": "MAUT1", + "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": 8.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=1/2", + "binding_index=85" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_8841071f29b80019.sql", + "usage_summary": { + "dataset_id": "n15", + "model": "v2-cli:codex", + "run_id": "v2q_n15_8841071f29b80019", + "api_calls": 0, + "input_tokens": 23046, + "cached_input_tokens": 21888, + "output_tokens": 2323, + "total_tokens": 25369, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 39940.14, + "sql_execution_elapsed_ms_total": 30.86, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_8841071f29b80019/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_8841071f29b80019/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_8841071f29b80019/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f86532b9aac7b3791eae3d93b855c9272ab21d57 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_8841071f29b80019/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:56:31.700863+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 39940.14, "started_at": "2026-05-19T15:55:51.759657+00:00", "ended_at": "2026-05-19T15:56:31.699827+00:00", "prompt_metrics": {"chars": 33253, "bytes_utf8": 33253, "lines": 1128, "estimated_tokens": null}, "response_metrics": {"chars": 867, "bytes_utf8": 867, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 23046, "cached_input_tokens": 21888, "output_tokens": 2323, "reasoning_output_tokens": 2053}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"CARAVAN\\\",\\n CAST(\\\"MAUT1\\\" AS REAL) AS \\\"measure_value\\\",\\n CUME_DIST() OVER (\\n PARTITION BY \\\"CARAVAN\\\"\\n ORDER BY CAST(\\\"MAUT1\\\" AS REAL)\\n ) AS \\\"cdf\\\",\\n COUNT(*) OVER (PARTITION BY \\\"CARAVAN\\\") AS \\\"group_size\\\"\\n FROM \\\"n15\\\"\\n WHERE \\\"CARAVAN\\\" IS NOT NULL\\n AND \\\"MAUT1\\\" IS NOT NULL\\n)\\nSELECT\\n \\\"CARAVAN\\\",\\n MIN(\\\"measure_value\\\") AS \\\"percentile_measure\\\"\\nFROM \\\"ranked\\\"\\nWHERE \\\"cdf\\\" >= 0.9\\n AND \\\"group_size\\\" >= 5\\nGROUP BY \\\"CARAVAN\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this uses CUME_DIST() to return the discrete 90th-percentile value of CAST(\\\"MAUT1\\\" AS REAL) within each \\\"CARAVAN\\\" group, while enforcing the provided minimum group size of 5 non-null rows.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_8841071f29b80019/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_8841071f29b80019/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..53adb842796e14128ae7f44a983a2b5cf3041a6f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_8841071f29b80019/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n15", + "model": "v2-cli:codex", + "run_id": "v2q_n15_8841071f29b80019", + "api_calls": 0, + "input_tokens": 23046, + "cached_input_tokens": 21888, + "output_tokens": 2323, + "total_tokens": 25369, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 39940.14, + "sql_execution_elapsed_ms_total": 30.86, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_8841071f29b80019/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_8a91fa6787491e50/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_8a91fa6787491e50/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..d2bc776566aff66de91a024282dbcc2f0f0a3980 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_8a91fa6787491e50/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=MAUT2, measure_col=MAUT2. +Result preview: [{"MAUT2": "7", "MOSTYPE": "1", "total_measure": 14.0, "share_within_group": 100.0}, {"MAUT2": "9", "MOSTYPE": "34", "total_measure": 9.0, "share_within_group": 100.0}, {"MAUT2": "5", "MOSTYPE": "34", "total_measure": 235.0, "share_within_group": 44.76190476190476}, {"MAUT2": "6", "MOSTYPE": "1", "total_measure": 30.0, "share_within_group": 35.714285714285715}, {"MAUT2": "4", "MOSTYPE": "33", "total_measure": 740.0, "share_within_group": 34.83992467043314}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_8a91fa6787491e50/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_8a91fa6787491e50/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..c0ec858c6d052a6f92a765c96bcf0f2e3781cc7f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_8a91fa6787491e50/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: n15 +-- 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_n15_8a91fa6787491e50 +-- problem_id: v2p_n15_e5244c1d388ea45e +-- realization_mode: agent +-- source_kind: agent +SELECT "MAUT2", "MOSTYPE", + SUM(CAST("MAUT2" AS REAL)) AS total_measure, + SUM(CAST("MAUT2" AS REAL)) * 100.0 / NULLIF(SUM(SUM(CAST("MAUT2" AS REAL))) OVER (PARTITION BY "MAUT2"), 0) AS share_within_group +FROM "n15" +GROUP BY "MAUT2", "MOSTYPE" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_8a91fa6787491e50/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_8a91fa6787491e50/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..21ae66e6d522f515a2eb4903de63b33db4c44585 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_8a91fa6787491e50/query_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 \"MAUT2\", \"MOSTYPE\",\n SUM(CAST(\"MAUT2\" AS REAL)) AS total_measure,\n SUM(CAST(\"MAUT2\" AS REAL)) * 100.0 / NULLIF(SUM(SUM(CAST(\"MAUT2\" AS REAL))) OVER (PARTITION BY \"MAUT2\"), 0) AS share_within_group\nFROM \"n15\"\nGROUP BY \"MAUT2\", \"MOSTYPE\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"MAUT2\\\", \\\"MOSTYPE\\\",\\n SUM(CAST(\\\"MAUT2\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"MAUT2\\\" AS REAL)) * 100.0 / NULLIF(SUM(SUM(CAST(\\\"MAUT2\\\" AS REAL))) OVER (PARTITION BY \\\"MAUT2\\\"), 0) AS share_within_group\\nFROM \\\"n15\\\"\\nGROUP BY \\\"MAUT2\\\", \\\"MOSTYPE\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"MAUT2\", \"MOSTYPE\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"MAUT2\": \"7\", \"MOSTYPE\": \"1\", \"total_measure\": 14.0, \"share_within_group\": 100.0}, {\"MAUT2\": \"9\", \"MOSTYPE\": \"34\", \"total_measure\": 9.0, \"share_within_group\": 100.0}, {\"MAUT2\": \"5\", \"MOSTYPE\": \"34\", \"total_measure\": 235.0, \"share_within_group\": 44.76190476190476}, {\"MAUT2\": \"6\", \"MOSTYPE\": \"1\", \"total_measure\": 30.0, \"share_within_group\": 35.714285714285715}, {\"MAUT2\": \"4\", \"MOSTYPE\": \"33\", \"total_measure\": 740.0, \"share_within_group\": 34.83992467043314}, {\"MAUT2\": \"4\", \"MOSTYPE\": \"34\", \"total_measure\": 544.0, \"share_within_group\": 25.6120527306968}, {\"MAUT2\": \"6\", \"MOSTYPE\": \"2\", \"total_measure\": 18.0, \"share_within_group\": 21.428571428571427}, {\"MAUT2\": \"3\", \"MOSTYPE\": \"33\", \"total_measure\": 375.0, \"share_within_group\": 19.592476489028215}, {\"MAUT2\": \"5\", \"MOSTYPE\": \"40\", \"total_measure\": 80.0, \"share_within_group\": 15.238095238095237}, {\"MAUT2\": \"6\", \"MOSTYPE\": \"39\", \"total_measure\": 12.0, \"share_within_group\": 14.285714285714286}, {\"MAUT2\": \"6\", \"MOSTYPE\": \"40\", \"total_measure\": 12.0, \"share_within_group\": 14.285714285714286}, {\"MAUT2\": \"2\", \"MOSTYPE\": \"33\", \"total_measure\": 832.0, \"share_within_group\": 13.87129043014338}, {\"MAUT2\": \"5\", \"MOSTYPE\": \"8\", \"total_measure\": 65.0, \"share_within_group\": 12.380952380952381}, {\"MAUT2\": \"3\", \"MOSTYPE\": \"8\", \"total_measure\": 216.0, \"share_within_group\": 11.285266457680251}, {\"MAUT2\": \"1\", \"MOSTYPE\": \"33\", \"total_measure\": 266.0, \"share_within_group\": 10.839445802770987}, {\"MAUT2\": \"5\", \"MOSTYPE\": \"41\", \"total_measure\": 55.0, \"share_within_group\": 10.476190476190476}, {\"MAUT2\": \"2\", \"MOSTYPE\": \"39\", \"total_measure\": 542.0, \"share_within_group\": 9.036345448482827}, {\"MAUT2\": \"5\", \"MOSTYPE\": \"1\", \"total_measure\": 45.0, \"share_within_group\": 8.571428571428571}, {\"MAUT2\": \"3\", \"MOSTYPE\": \"1\", \"total_measure\": 141.0, \"share_within_group\": 7.366771159874608}, {\"MAUT2\": \"3\", \"MOSTYPE\": \"40\", \"total_measure\": 138.0, \"share_within_group\": 7.210031347962382}, {\"MAUT2\": \"3\", \"MOSTYPE\": \"41\", \"total_measure\": 138.0, \"share_within_group\": 7.210031347962382}, {\"MAUT2\": \"6\", \"MOSTYPE\": \"33\", \"total_measure\": 6.0, \"share_within_group\": 7.142857142857143}, {\"MAUT2\": \"6\", \"MOSTYPE\": \"34\", \"total_measure\": 6.0, \"share_within_group\": 7.142857142857143}, {\"MAUT2\": \"1\", \"MOSTYPE\": \"38\", \"total_measure\": 172.0, \"share_within_group\": 7.008964955175224}, {\"MAUT2\": \"4\", \"MOSTYPE\": \"1\", \"total_measure\": 148.0, \"share_within_group\": 6.967984934086629}, {\"MAUT2\": \"1\", \"MOSTYPE\": \"23\", \"total_measure\": 165.0, \"share_within_group\": 6.723716381418093}, {\"MAUT2\": \"1\", \"MOSTYPE\": \"9\", \"total_measure\": 161.0, \"share_within_group\": 6.560717196414018}, {\"MAUT2\": \"2\", \"MOSTYPE\": \"8\", \"total_measure\": 372.0, \"share_within_group\": 6.202067355785262}, {\"MAUT2\": \"1\", \"MOSTYPE\": \"24\", \"total_measure\": 141.0, \"share_within_group\": 5.745721271393643}, {\"MAUT2\": \"2\", \"MOSTYPE\": \"9\", \"total_measure\": 338.0, \"share_within_group\": 5.635211737245749}, {\"MAUT2\": \"2\", \"MOSTYPE\": \"41\", \"total_measure\": 318.0, \"share_within_group\": 5.301767255751917}, {\"MAUT2\": \"1\", \"MOSTYPE\": \"35\", \"total_measure\": 130.0, \"share_within_group\": 5.297473512632437}, {\"MAUT2\": \"1\", \"MOSTYPE\": \"39\", \"total_measure\": 130.0, \"share_within_group\": 5.297473512632437}, {\"MAUT2\": \"2\", \"MOSTYPE\": \"36\", \"total_measure\": 310.0, \"share_within_group\": 5.1683894631543845}, {\"MAUT2\": \"4\", \"MOSTYPE\": \"41\", \"total_measure\": 104.0, \"share_within_group\": 4.8964218455743875}, {\"MAUT2\": \"3\", \"MOSTYPE\": \"3\", \"total_measure\": 93.0, \"share_within_group\": 4.858934169278997}, {\"MAUT2\": \"3\", \"MOSTYPE\": \"38\", \"total_measure\": 93.0, \"share_within_group\": 4.858934169278997}, {\"MAUT2\": \"2\", \"MOSTYPE\": \"38\", \"total_measure\": 288.0, \"share_within_group\": 4.80160053351117}, {\"MAUT2\": \"2\", \"MOSTYPE\": \"3\", \"total_measure\": 258.0, \"share_within_group\": 4.301433811270424}, {\"MAUT2\": \"2\", \"MOSTYPE\": \"6\", \"total_measure\": 246.0, \"share_within_group\": 4.101367122374125}, {\"MAUT2\": \"2\", \"MOSTYPE\": \"11\", \"total_measure\": 244.0, \"share_within_group\": 4.068022674224742}, {\"MAUT2\": \"1\", \"MOSTYPE\": \"3\", \"total_measure\": 98.0, \"share_within_group\": 3.993480032599837}, {\"MAUT2\": \"1\", \"MOSTYPE\": \"36\", \"total_measure\": 95.0, \"share_within_group\": 3.871230643846781}, {\"MAUT2\": \"2\", \"MOSTYPE\": \"35\", \"total_measure\": 232.0, \"share_within_group\": 3.8679559853284426}, {\"MAUT2\": \"3\", \"MOSTYPE\": \"12\", \"total_measure\": 72.0, \"share_within_group\": 3.761755485893417}, {\"MAUT2\": \"3\", \"MOSTYPE\": \"23\", \"total_measure\": 72.0, \"share_within_group\": 3.761755485893417}, {\"MAUT2\": \"4\", \"MOSTYPE\": \"8\", \"total_measure\": 76.0, \"share_within_group\": 3.5781544256120528}, {\"MAUT2\": \"1\", \"MOSTYPE\": \"13\", \"total_measure\": 87.0, \"share_within_group\": 3.545232273838631}, {\"MAUT2\": \"4\", \"MOSTYPE\": \"6\", \"total_measure\": 72.0, \"share_within_group\": 3.389830508474576}, {\"MAUT2\": \"1\", \"MOSTYPE\": \"22\", \"total_measure\": 81.0, \"share_within_group\": 3.3007334963325183}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 9.51}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_8a91fa6787491e50/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_8a91fa6787491e50/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..e1f90e14b3fbc903e569530ef1d488bea6224a26 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_8a91fa6787491e50/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "n15", + "started_at": "2026-05-19T15:39:59.257328+00:00", + "ended_at": "2026-05-19T15:40:17.618107+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n15_8a91fa6787491e50", + "problem_id": "v2p_n15_e5244c1d388ea45e", + "dataset_id": "n15", + "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=MAUT2, measure_col=MAUT2.", + "bindings": { + "group_col": "MAUT2", + "measure_col": "MAUT2", + "item_col": "MOSTYPE", + "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": 2.64, + "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", + "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/n15/sql/v2q_n15_8a91fa6787491e50.sql", + "usage_summary": { + "dataset_id": "n15", + "model": "v2-cli:codex", + "run_id": "v2q_n15_8a91fa6787491e50", + "api_calls": 0, + "input_tokens": 23126, + "cached_input_tokens": 21888, + "output_tokens": 717, + "total_tokens": 23843, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 18344.66, + "sql_execution_elapsed_ms_total": 9.51, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_8a91fa6787491e50/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_8a91fa6787491e50/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_8a91fa6787491e50/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8ad0a6b13aa42f77a0cf205d281d9135366e5f31 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_8a91fa6787491e50/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:40:17.606688+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 18344.66, "started_at": "2026-05-19T15:39:59.261150+00:00", "ended_at": "2026-05-19T15:40:17.605840+00:00", "prompt_metrics": {"chars": 33479, "bytes_utf8": 33479, "lines": 1130, "estimated_tokens": null}, "response_metrics": {"chars": 649, "bytes_utf8": 649, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 23126, "cached_input_tokens": 21888, "output_tokens": 717, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"MAUT2\\\", \\\"MOSTYPE\\\",\\n SUM(CAST(\\\"MAUT2\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"MAUT2\\\" AS REAL)) * 100.0 / NULLIF(SUM(SUM(CAST(\\\"MAUT2\\\" AS REAL))) OVER (PARTITION BY \\\"MAUT2\\\"), 0) AS share_within_group\\nFROM \\\"n15\\\"\\nGROUP BY \\\"MAUT2\\\", \\\"MOSTYPE\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Used the planned Within-Group Share of Total template with group_col=\\\"MAUT2\\\", item_col=\\\"MOSTYPE\\\", and measure_col=\\\"MAUT2\\\". Cast \\\"MAUT2\\\" to REAL because the schema stores it as TEXT, and used NULLIF to avoid division-by-zero within groups whose total measure is 0.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_8a91fa6787491e50/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_8a91fa6787491e50/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..ebad14ff9eee10c178a36527aa039a6665cf1381 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_8a91fa6787491e50/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n15", + "model": "v2-cli:codex", + "run_id": "v2q_n15_8a91fa6787491e50", + "api_calls": 0, + "input_tokens": 23126, + "cached_input_tokens": 21888, + "output_tokens": 717, + "total_tokens": 23843, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 18344.66, + "sql_execution_elapsed_ms_total": 9.51, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_8a91fa6787491e50/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_8c035addd0dae041/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_8c035addd0dae041/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..3674f10e4d86d6760cd58f7cda517bd1eff6ab6a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_8c035addd0dae041/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "0", "support": 5903, "support_share": 0.6009977601303197, "support_rank": 1}, {"value_label": "2", "support": 3562, "support_share": 0.36265526369374873, "support_rank": 2}, {"value_label": "1", "support": 341, "support_share": 0.03471798004479739, "support_rank": 3}, {"value_label": "3", "support": 16, "support_share": 0.0016289961311341885, "support_rank": 4}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_8c035addd0dae041/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_8c035addd0dae041/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..09a6253a36a0dfaf3bd39f9bf02cf29ef51ce6c8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_8c035addd0dae041/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: n15 +-- 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_n15_8c035addd0dae041 +-- problem_id: v2p_n15_b8d18c22f752ff6a +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "PWAPART" AS value_label, COUNT(*) AS support + FROM "n15" + GROUP BY "PWAPART" +) +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/n15/artifacts/v2q_n15_8c035addd0dae041/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_8c035addd0dae041/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5fd34cd29681913bbdce3257cb72f92762053852 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_8c035addd0dae041/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: n15\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_n15_8c035addd0dae041\n-- problem_id: v2p_n15_b8d18c22f752ff6a\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"PWAPART\" AS value_label, COUNT(*) AS support\n FROM \"n15\"\n GROUP BY \"PWAPART\"\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: n15\\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_n15_8c035addd0dae041\\n-- problem_id: v2p_n15_b8d18c22f752ff6a\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"PWAPART\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"n15\\\"\\n GROUP BY \\\"PWAPART\\\"\\n)\\nSELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\\nFROM grouped\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"support_rank\"], \"rows\": [{\"value_label\": \"0\", \"support\": 5903, \"support_share\": 0.6009977601303197, \"support_rank\": 1}, {\"value_label\": \"2\", \"support\": 3562, \"support_share\": 0.36265526369374873, \"support_rank\": 2}, {\"value_label\": \"1\", \"support\": 341, \"support_share\": 0.03471798004479739, \"support_rank\": 3}, {\"value_label\": \"3\", \"support\": 16, \"support_share\": 0.0016289961311341885, \"support_rank\": 4}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 4.59}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_8c035addd0dae041/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_8c035addd0dae041/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..d5a15d567bcb70f71f2bb35c460878d370423613 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_8c035addd0dae041/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "n15", + "started_at": "2026-05-19T16:14:24.920897+00:00", + "ended_at": "2026-05-19T16:14:24.926286+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n15_8c035addd0dae041", + "problem_id": "v2p_n15_b8d18c22f752ff6a", + "dataset_id": "n15", + "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=PWAPART.", + "bindings": { + "group_col": "PWAPART" + }, + "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=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/n15/sql/v2q_n15_8c035addd0dae041.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/n15/artifacts/v2q_n15_8c035addd0dae041/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_8c035addd0dae041/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_8c035addd0dae041/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/n15/artifacts/v2q_n15_8e59f761052e0c26/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_8e59f761052e0c26/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..b2393b96089e9c445656415af4bdb01c7e44153b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_8e59f761052e0c26/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "n15", + "started_at": "2026-05-19T16:09:56.769734+00:00", + "ended_at": "2026-05-19T16:10:05.359013+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n15_8e59f761052e0c26", + "problem_id": "v2p_n15_161122b456710df8", + "dataset_id": "n15", + "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=MGODOV.", + "bindings": { + "measure_col": "MGODOV", + "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": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=8", + "sql_variant_index=1/1", + "binding_index=115" + ], + "template_selection_mode": "rule", + "selected_template_rank": 10, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "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/n15/artifacts/v2q_n15_8e59f761052e0c26/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_8e59f761052e0c26/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b164d229f42b4f602725a1f809aba225714d60fe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_8e59f761052e0c26/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:10:01.055336+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": 4281.54, "started_at": "2026-05-19T16:09:56.772856+00:00", "ended_at": "2026-05-19T16:10:01.054423+00:00", "prompt_metrics": {"chars": 33016, "bytes_utf8": 33016, "lines": 1126, "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\":\"019e4100-4449-7381-b6d3-048710c06346\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:10:05.358914+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3300.37, "started_at": "2026-05-19T16:10:02.057742+00:00", "ended_at": "2026-05-19T16:10:05.358153+00:00", "prompt_metrics": {"chars": 33016, "bytes_utf8": 33016, "lines": 1126, "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\":\"019e4100-58c0-7a61-8cb3-071db89e375d\"}\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/n15/artifacts/v2q_n15_920dcb7cde23230c/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_920dcb7cde23230c/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..7fb067c0241f17e558cdb0555654a55851ce6156 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_920dcb7cde23230c/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=ATRACTOR, measure_col=MBERHOOG. +Result preview: [{"ATRACTOR": "0", "group_value": 18211.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_920dcb7cde23230c/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_920dcb7cde23230c/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..e65a7314764e901563c30f9f8f79fd2bd51b9951 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_920dcb7cde23230c/generated_sql.sql @@ -0,0 +1,31 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: n15 +-- 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_n15_920dcb7cde23230c +-- problem_id: v2p_n15_72c4de58413c8130 +-- realization_mode: agent +-- source_kind: agent +WITH "grouped" AS ( + SELECT + "ATRACTOR", + SUM(CAST("MBERHOOG" AS REAL)) AS "group_value" + FROM "n15" + GROUP BY "ATRACTOR" +), +"total" AS ( + SELECT SUM("group_value") AS "total_value" + FROM "grouped" +) +SELECT + g."ATRACTOR", + 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/n15/artifacts/v2q_n15_920dcb7cde23230c/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_920dcb7cde23230c/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4d6c294f14a9c4d71255241f40f7cfb382fbe687 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_920dcb7cde23230c/query_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 \"ATRACTOR\",\n SUM(CAST(\"MBERHOOG\" AS REAL)) AS \"group_value\"\n FROM \"n15\"\n GROUP BY \"ATRACTOR\"\n),\n\"total\" AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM \"grouped\"\n)\nSELECT\n g.\"ATRACTOR\",\n g.\"group_value\"\nFROM \"grouped\" AS g\nCROSS JOIN \"total\" AS t\nWHERE g.\"group_value\" > t.\"total_value\" * 0.1\nORDER BY g.\"group_value\" DESC;", "result": "{\"query\": \"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n SELECT\\n \\\"ATRACTOR\\\",\\n SUM(CAST(\\\"MBERHOOG\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"n15\\\"\\n GROUP BY \\\"ATRACTOR\\\"\\n),\\n\\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT\\n g.\\\"ATRACTOR\\\",\\n g.\\\"group_value\\\"\\nFROM \\\"grouped\\\" AS g\\nCROSS JOIN \\\"total\\\" AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.1\\nORDER BY g.\\\"group_value\\\" DESC;\", \"columns\": [\"ATRACTOR\", \"group_value\"], \"rows\": [{\"ATRACTOR\": \"0\", \"group_value\": 18211.0}], \"row_count_returned\": 1, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 6.75}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_920dcb7cde23230c/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_920dcb7cde23230c/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..7495214d671635fd499be2f6a51b65452b13d33c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_920dcb7cde23230c/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "n15", + "started_at": "2026-05-19T15:49:17.095013+00:00", + "ended_at": "2026-05-19T15:49:28.936714+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n15_920dcb7cde23230c", + "problem_id": "v2p_n15_72c4de58413c8130", + "dataset_id": "n15", + "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=ATRACTOR, measure_col=MBERHOOG.", + "bindings": { + "group_col": "ATRACTOR", + "measure_col": "MBERHOOG", + "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": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=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/n15/sql/v2q_n15_920dcb7cde23230c.sql", + "usage_summary": { + "dataset_id": "n15", + "model": "v2-cli:codex", + "run_id": "v2q_n15_920dcb7cde23230c", + "api_calls": 0, + "input_tokens": 23146, + "cached_input_tokens": 21888, + "output_tokens": 602, + "total_tokens": 23748, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11827.22, + "sql_execution_elapsed_ms_total": 6.75, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_920dcb7cde23230c/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_920dcb7cde23230c/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_920dcb7cde23230c/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..643adc47ee75f087e4e59a1bc7d9d9db6f1013c4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_920dcb7cde23230c/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:49:28.927584+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 11827.22, "started_at": "2026-05-19T15:49:17.099022+00:00", "ended_at": "2026-05-19T15:49:28.926270+00:00", "prompt_metrics": {"chars": 33638, "bytes_utf8": 33638, "lines": 1128, "estimated_tokens": null}, "response_metrics": {"chars": 682, "bytes_utf8": 682, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 23146, "cached_input_tokens": 21888, "output_tokens": 602, "reasoning_output_tokens": 392}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n SELECT\\n \\\"ATRACTOR\\\",\\n SUM(CAST(\\\"MBERHOOG\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"n15\\\"\\n GROUP BY \\\"ATRACTOR\\\"\\n),\\n\\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT\\n g.\\\"ATRACTOR\\\",\\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 Relative-to-Total Extreme Threshold template with group_col=\\\"ATRACTOR\\\" and measure_col=\\\"MBERHOOG\\\". CAST to REAL is applied because the schema stores columns as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_920dcb7cde23230c/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_920dcb7cde23230c/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a32932eec173fb6101953915dbc9c4f24eecb9b6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_920dcb7cde23230c/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n15", + "model": "v2-cli:codex", + "run_id": "v2q_n15_920dcb7cde23230c", + "api_calls": 0, + "input_tokens": 23146, + "cached_input_tokens": 21888, + "output_tokens": 602, + "total_tokens": 23748, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11827.22, + "sql_execution_elapsed_ms_total": 6.75, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_920dcb7cde23230c/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_9cca528eb12b38f3/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_9cca528eb12b38f3/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..9cceae9c0d80dd9f397585793e9ffe8ce81688ef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_9cca528eb12b38f3/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=MHKOOP, measure_col=MHKOOP. +Result preview: [{"MHKOOP": "6", "MOSTYPE": "33", "total_measure": 1542.0, "share_within_group": 26.278118609406953}, {"MHKOOP": "7", "MOSTYPE": "33", "total_measure": 1484.0, "share_within_group": 17.890295358649787}, {"MHKOOP": "5", "MOSTYPE": "33", "total_measure": 815.0, "share_within_group": 17.87280701754386}, {"MHKOOP": "1", "MOSTYPE": "23", "total_measure": 149.0, "share_within_group": 17.106773823191734}, {"MHKOOP": "3", "MOSTYPE": "39", "total_measure": 324.0, "share_within_group": 16.463414634146343}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_9cca528eb12b38f3/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_9cca528eb12b38f3/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..92d4f8f311fb02bf22fd302c16982d9e225fbcd7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_9cca528eb12b38f3/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: n15 +-- 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_n15_9cca528eb12b38f3 +-- problem_id: v2p_n15_c238d7d2375dd90b +-- realization_mode: agent +-- source_kind: agent +SELECT + "MHKOOP", + "MOSTYPE", + SUM(CAST("MHKOOP" AS REAL)) AS total_measure, + SUM(CAST("MHKOOP" AS REAL)) * 100.0 / SUM(SUM(CAST("MHKOOP" AS REAL))) OVER (PARTITION BY "MHKOOP") AS share_within_group +FROM "n15" +GROUP BY "MHKOOP", "MOSTYPE" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_9cca528eb12b38f3/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_9cca528eb12b38f3/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..86bbe8f6a11ba958131dc02b7d8a26d877c9ece5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_9cca528eb12b38f3/query_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 \"MHKOOP\",\n \"MOSTYPE\",\n SUM(CAST(\"MHKOOP\" AS REAL)) AS total_measure,\n SUM(CAST(\"MHKOOP\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"MHKOOP\" AS REAL))) OVER (PARTITION BY \"MHKOOP\") AS share_within_group\nFROM \"n15\"\nGROUP BY \"MHKOOP\", \"MOSTYPE\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"MHKOOP\\\",\\n \\\"MOSTYPE\\\",\\n SUM(CAST(\\\"MHKOOP\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"MHKOOP\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"MHKOOP\\\" AS REAL))) OVER (PARTITION BY \\\"MHKOOP\\\") AS share_within_group\\nFROM \\\"n15\\\"\\nGROUP BY \\\"MHKOOP\\\", \\\"MOSTYPE\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"MHKOOP\", \"MOSTYPE\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"MHKOOP\": \"6\", \"MOSTYPE\": \"33\", \"total_measure\": 1542.0, \"share_within_group\": 26.278118609406953}, {\"MHKOOP\": \"7\", \"MOSTYPE\": \"33\", \"total_measure\": 1484.0, \"share_within_group\": 17.890295358649787}, {\"MHKOOP\": \"5\", \"MOSTYPE\": \"33\", \"total_measure\": 815.0, \"share_within_group\": 17.87280701754386}, {\"MHKOOP\": \"1\", \"MOSTYPE\": \"23\", \"total_measure\": 149.0, \"share_within_group\": 17.106773823191734}, {\"MHKOOP\": \"3\", \"MOSTYPE\": \"39\", \"total_measure\": 324.0, \"share_within_group\": 16.463414634146343}, {\"MHKOOP\": \"9\", \"MOSTYPE\": \"33\", \"total_measure\": 2286.0, \"share_within_group\": 15.273601924233313}, {\"MHKOOP\": \"1\", \"MOSTYPE\": \"9\", \"total_measure\": 133.0, \"share_within_group\": 15.269804822043628}, {\"MHKOOP\": \"8\", \"MOSTYPE\": \"33\", \"total_measure\": 896.0, \"share_within_group\": 14.814814814814815}, {\"MHKOOP\": \"4\", \"MOSTYPE\": \"33\", \"total_measure\": 492.0, \"share_within_group\": 14.748201438848922}, {\"MHKOOP\": \"7\", \"MOSTYPE\": \"34\", \"total_measure\": 1197.0, \"share_within_group\": 14.430379746835444}, {\"MHKOOP\": \"8\", \"MOSTYPE\": \"8\", \"total_measure\": 864.0, \"share_within_group\": 14.285714285714286}, {\"MHKOOP\": \"9\", \"MOSTYPE\": \"8\", \"total_measure\": 1872.0, \"share_within_group\": 12.507516536380036}, {\"MHKOOP\": \"4\", \"MOSTYPE\": \"38\", \"total_measure\": 396.0, \"share_within_group\": 11.870503597122303}, {\"MHKOOP\": \"1\", \"MOSTYPE\": \"24\", \"total_measure\": 101.0, \"share_within_group\": 11.595866819747418}, {\"MHKOOP\": \"9\", \"MOSTYPE\": \"1\", \"total_measure\": 1512.0, \"share_within_group\": 10.10222489476849}, {\"MHKOOP\": \"4\", \"MOSTYPE\": \"36\", \"total_measure\": 320.0, \"share_within_group\": 9.59232613908873}, {\"MHKOOP\": \"6\", \"MOSTYPE\": \"41\", \"total_measure\": 552.0, \"share_within_group\": 9.406952965235174}, {\"MHKOOP\": \"8\", \"MOSTYPE\": \"10\", \"total_measure\": 528.0, \"share_within_group\": 8.73015873015873}, {\"MHKOOP\": \"2\", \"MOSTYPE\": \"38\", \"total_measure\": 120.0, \"share_within_group\": 8.426966292134832}, {\"MHKOOP\": \"2\", \"MOSTYPE\": \"39\", \"total_measure\": 120.0, \"share_within_group\": 8.426966292134832}, {\"MHKOOP\": \"3\", \"MOSTYPE\": \"31\", \"total_measure\": 162.0, \"share_within_group\": 8.231707317073171}, {\"MHKOOP\": \"8\", \"MOSTYPE\": \"41\", \"total_measure\": 496.0, \"share_within_group\": 8.201058201058201}, {\"MHKOOP\": \"3\", \"MOSTYPE\": \"9\", \"total_measure\": 156.0, \"share_within_group\": 7.926829268292683}, {\"MHKOOP\": \"2\", \"MOSTYPE\": \"24\", \"total_measure\": 112.0, \"share_within_group\": 7.865168539325842}, {\"MHKOOP\": \"4\", \"MOSTYPE\": \"35\", \"total_measure\": 256.0, \"share_within_group\": 7.6738609112709835}, {\"MHKOOP\": \"6\", \"MOSTYPE\": \"3\", \"total_measure\": 438.0, \"share_within_group\": 7.4642126789366054}, {\"MHKOOP\": \"7\", \"MOSTYPE\": \"35\", \"total_measure\": 602.0, \"share_within_group\": 7.257383966244726}, {\"MHKOOP\": \"3\", \"MOSTYPE\": \"3\", \"total_measure\": 141.0, \"share_within_group\": 7.164634146341464}, {\"MHKOOP\": \"5\", \"MOSTYPE\": \"38\", \"total_measure\": 320.0, \"share_within_group\": 7.017543859649122}, {\"MHKOOP\": \"5\", \"MOSTYPE\": \"41\", \"total_measure\": 320.0, \"share_within_group\": 7.017543859649122}, {\"MHKOOP\": \"2\", \"MOSTYPE\": \"33\", \"total_measure\": 98.0, \"share_within_group\": 6.882022471910112}, {\"MHKOOP\": \"9\", \"MOSTYPE\": \"10\", \"total_measure\": 1008.0, \"share_within_group\": 6.734816596512327}, {\"MHKOOP\": \"3\", \"MOSTYPE\": \"38\", \"total_measure\": 132.0, \"share_within_group\": 6.7073170731707314}, {\"MHKOOP\": \"9\", \"MOSTYPE\": \"6\", \"total_measure\": 990.0, \"share_within_group\": 6.61455201443175}, {\"MHKOOP\": \"2\", \"MOSTYPE\": \"13\", \"total_measure\": 94.0, \"share_within_group\": 6.601123595505618}, {\"MHKOOP\": \"6\", \"MOSTYPE\": \"39\", \"total_measure\": 384.0, \"share_within_group\": 6.543967280163599}, {\"MHKOOP\": \"7\", \"MOSTYPE\": \"8\", \"total_measure\": 539.0, \"share_within_group\": 6.4978902953586495}, {\"MHKOOP\": \"2\", \"MOSTYPE\": \"23\", \"total_measure\": 92.0, \"share_within_group\": 6.46067415730337}, {\"MHKOOP\": \"9\", \"MOSTYPE\": \"12\", \"total_measure\": 963.0, \"share_within_group\": 6.4341551413108835}, {\"MHKOOP\": \"2\", \"MOSTYPE\": \"3\", \"total_measure\": 90.0, \"share_within_group\": 6.320224719101123}, {\"MHKOOP\": \"5\", \"MOSTYPE\": \"3\", \"total_measure\": 285.0, \"share_within_group\": 6.25}, {\"MHKOOP\": \"8\", \"MOSTYPE\": \"11\", \"total_measure\": 368.0, \"share_within_group\": 6.084656084656085}, {\"MHKOOP\": \"7\", \"MOSTYPE\": \"41\", \"total_measure\": 497.0, \"share_within_group\": 5.991561181434599}, {\"MHKOOP\": \"1\", \"MOSTYPE\": \"38\", \"total_measure\": 52.0, \"share_within_group\": 5.970149253731344}, {\"MHKOOP\": \"1\", \"MOSTYPE\": \"39\", \"total_measure\": 52.0, \"share_within_group\": 5.970149253731344}, {\"MHKOOP\": \"8\", \"MOSTYPE\": \"39\", \"total_measure\": 360.0, \"share_within_group\": 5.9523809523809526}, {\"MHKOOP\": \"2\", \"MOSTYPE\": \"35\", \"total_measure\": 84.0, \"share_within_group\": 5.898876404494382}, {\"MHKOOP\": \"4\", \"MOSTYPE\": \"32\", \"total_measure\": 196.0, \"share_within_group\": 5.875299760191846}, {\"MHKOOP\": \"1\", \"MOSTYPE\": \"33\", \"total_measure\": 51.0, \"share_within_group\": 5.855338691159587}, {\"MHKOOP\": \"5\", \"MOSTYPE\": \"36\", \"total_measure\": 265.0, \"share_within_group\": 5.81140350877193}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 21.86}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_9cca528eb12b38f3/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_9cca528eb12b38f3/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..f0147f1213f216484e7d0e882fa0c70a7ebaf1b6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_9cca528eb12b38f3/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "n15", + "started_at": "2026-05-19T15:38:24.732433+00:00", + "ended_at": "2026-05-19T15:38:38.422220+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n15_9cca528eb12b38f3", + "problem_id": "v2p_n15_c238d7d2375dd90b", + "dataset_id": "n15", + "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=MHKOOP, measure_col=MHKOOP.", + "bindings": { + "group_col": "MHKOOP", + "measure_col": "MHKOOP", + "item_col": "MOSTYPE", + "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": 8.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=7", + "sql_variant_index=1/2", + "binding_index=30" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_9cca528eb12b38f3.sql", + "usage_summary": { + "dataset_id": "n15", + "model": "v2-cli:codex", + "run_id": "v2q_n15_9cca528eb12b38f3", + "api_calls": 0, + "input_tokens": 23127, + "cached_input_tokens": 21888, + "output_tokens": 694, + "total_tokens": 23821, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13658.21, + "sql_execution_elapsed_ms_total": 21.86, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_9cca528eb12b38f3/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_9cca528eb12b38f3/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_9cca528eb12b38f3/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0b128bd2995b7cd0942d3b608580f1c406ff641b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_9cca528eb12b38f3/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:38:38.396455+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 13658.21, "started_at": "2026-05-19T15:38:24.736460+00:00", "ended_at": "2026-05-19T15:38:38.394703+00:00", "prompt_metrics": {"chars": 33485, "bytes_utf8": 33485, "lines": 1130, "estimated_tokens": null}, "response_metrics": {"chars": 593, "bytes_utf8": 593, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 23127, "cached_input_tokens": 21888, "output_tokens": 694, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"MHKOOP\\\",\\n \\\"MOSTYPE\\\",\\n SUM(CAST(\\\"MHKOOP\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"MHKOOP\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"MHKOOP\\\" AS REAL))) OVER (PARTITION BY \\\"MHKOOP\\\") AS share_within_group\\nFROM \\\"n15\\\"\\nGROUP BY \\\"MHKOOP\\\", \\\"MOSTYPE\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the requested template with group_col=\\\"MHKOOP\\\", item_col=\\\"MOSTYPE\\\", and measure_col=\\\"MHKOOP\\\". CAST to REAL is used because the schema stores these fields as TEXT while the template requires numeric aggregation.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_9cca528eb12b38f3/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_9cca528eb12b38f3/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..fac71ebc7ae94ce8d51d57abb02c67dfc30d0457 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_9cca528eb12b38f3/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n15", + "model": "v2-cli:codex", + "run_id": "v2q_n15_9cca528eb12b38f3", + "api_calls": 0, + "input_tokens": 23127, + "cached_input_tokens": 21888, + "output_tokens": 694, + "total_tokens": 23821, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13658.21, + "sql_execution_elapsed_ms_total": 21.86, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_9cca528eb12b38f3/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_a7a7b49fd10ccbb3/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_a7a7b49fd10ccbb3/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..8b4e95de6eff30ba9a320ca6747b83b2a9f4dfc4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_a7a7b49fd10ccbb3/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=MOSTYPE, measure_col=MOSTYPE. +Result preview: [{"MOSTYPE": "33", "total_measure": 46233}, {"MOSTYPE": "38", "total_measure": 21622}, {"MOSTYPE": "39", "total_measure": 21138}, {"MOSTYPE": "41", "total_measure": 14555}, {"MOSTYPE": "36", "total_measure": 13428}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_a7a7b49fd10ccbb3/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_a7a7b49fd10ccbb3/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..d9b92000a1b20d7b152f6e38fad91122e1d55e45 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_a7a7b49fd10ccbb3/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: n15 +-- 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_n15_a7a7b49fd10ccbb3 +-- problem_id: v2p_n15_ccd413e6f6151bd8 +-- realization_mode: agent +-- source_kind: agent +SELECT "MOSTYPE", SUM(CAST("MOSTYPE" AS NUMERIC)) AS "total_measure" +FROM "n15" +GROUP BY "MOSTYPE" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_a7a7b49fd10ccbb3/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_a7a7b49fd10ccbb3/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8a860fecb16277c1a6f609ff9302d56faabeacc7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_a7a7b49fd10ccbb3/query_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 \"MOSTYPE\", SUM(CAST(\"MOSTYPE\" AS NUMERIC)) AS \"total_measure\"\nFROM \"n15\"\nGROUP BY \"MOSTYPE\"\nORDER BY \"total_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"MOSTYPE\\\", SUM(CAST(\\\"MOSTYPE\\\" AS NUMERIC)) AS \\\"total_measure\\\"\\nFROM \\\"n15\\\"\\nGROUP BY \\\"MOSTYPE\\\"\\nORDER BY \\\"total_measure\\\" DESC;\", \"columns\": [\"MOSTYPE\", \"total_measure\"], \"rows\": [{\"MOSTYPE\": \"33\", \"total_measure\": 46233}, {\"MOSTYPE\": \"38\", \"total_measure\": 21622}, {\"MOSTYPE\": \"39\", \"total_measure\": 21138}, {\"MOSTYPE\": \"41\", \"total_measure\": 14555}, {\"MOSTYPE\": \"36\", \"total_measure\": 13428}, {\"MOSTYPE\": \"35\", \"total_measure\": 12670}, {\"MOSTYPE\": \"34\", \"total_measure\": 11050}, {\"MOSTYPE\": \"31\", \"total_measure\": 9858}, {\"MOSTYPE\": \"23\", \"total_measure\": 8648}, {\"MOSTYPE\": \"37\", \"total_measure\": 8621}, {\"MOSTYPE\": \"24\", \"total_measure\": 7776}, {\"MOSTYPE\": \"32\", \"total_measure\": 7488}, {\"MOSTYPE\": \"30\", \"total_measure\": 5700}, {\"MOSTYPE\": \"40\", \"total_measure\": 5480}, {\"MOSTYPE\": \"8\", \"total_measure\": 4368}, {\"MOSTYPE\": \"9\", \"total_measure\": 4140}, {\"MOSTYPE\": \"29\", \"total_measure\": 4031}, {\"MOSTYPE\": \"13\", \"total_measure\": 3926}, {\"MOSTYPE\": \"22\", \"total_measure\": 3718}, {\"MOSTYPE\": \"25\", \"total_measure\": 3225}, {\"MOSTYPE\": \"11\", \"total_measure\": 3146}, {\"MOSTYPE\": \"10\", \"total_measure\": 2710}, {\"MOSTYPE\": \"12\", \"total_measure\": 2328}, {\"MOSTYPE\": \"27\", \"total_measure\": 2079}, {\"MOSTYPE\": \"26\", \"total_measure\": 2054}, {\"MOSTYPE\": \"3\", \"total_measure\": 1299}, {\"MOSTYPE\": \"6\", \"total_measure\": 1254}, {\"MOSTYPE\": \"28\", \"total_measure\": 1148}, {\"MOSTYPE\": \"20\", \"total_measure\": 840}, {\"MOSTYPE\": \"21\", \"total_measure\": 609}, {\"MOSTYPE\": \"7\", \"total_measure\": 504}, {\"MOSTYPE\": \"18\", \"total_measure\": 486}, {\"MOSTYPE\": \"16\", \"total_measure\": 400}, {\"MOSTYPE\": \"4\", \"total_measure\": 360}, {\"MOSTYPE\": \"5\", \"total_measure\": 350}, {\"MOSTYPE\": \"2\", \"total_measure\": 296}, {\"MOSTYPE\": \"17\", \"total_measure\": 221}, {\"MOSTYPE\": \"1\", \"total_measure\": 218}, {\"MOSTYPE\": \"19\", \"total_measure\": 133}, {\"MOSTYPE\": \"15\", \"total_measure\": 105}], \"row_count_returned\": 40, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 10.78}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_a7a7b49fd10ccbb3/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_a7a7b49fd10ccbb3/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..0260bf60a189d21a57eeae61104a7ee15c1436c1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_a7a7b49fd10ccbb3/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "n15", + "started_at": "2026-05-19T15:28:29.584550+00:00", + "ended_at": "2026-05-19T15:28:39.780349+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n15_a7a7b49fd10ccbb3", + "problem_id": "v2p_n15_ccd413e6f6151bd8", + "dataset_id": "n15", + "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=MOSTYPE, measure_col=MOSTYPE.", + "bindings": { + "group_col": "MOSTYPE", + "measure_col": "MOSTYPE", + "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": 16.4, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=2/2", + "binding_index=0" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 1, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_a7a7b49fd10ccbb3.sql", + "usage_summary": { + "dataset_id": "n15", + "model": "v2-cli:codex", + "run_id": "v2q_n15_a7a7b49fd10ccbb3", + "api_calls": 0, + "input_tokens": 23004, + "cached_input_tokens": 4480, + "output_tokens": 374, + "total_tokens": 23378, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10176.52, + "sql_execution_elapsed_ms_total": 10.78, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_a7a7b49fd10ccbb3/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_a7a7b49fd10ccbb3/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_a7a7b49fd10ccbb3/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3d3c5a80f186a99fd053f2476f1d7bd4140f0f11 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_a7a7b49fd10ccbb3/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:28:39.766375+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 10176.52, "started_at": "2026-05-19T15:28:29.588221+00:00", "ended_at": "2026-05-19T15:28:39.764776+00:00", "prompt_metrics": {"chars": 33082, "bytes_utf8": 33082, "lines": 1128, "estimated_tokens": null}, "response_metrics": {"chars": 391, "bytes_utf8": 391, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 23004, "cached_input_tokens": 4480, "output_tokens": 374, "reasoning_output_tokens": 267}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"MOSTYPE\\\", SUM(CAST(\\\"MOSTYPE\\\" AS NUMERIC)) AS \\\"total_measure\\\"\\nFROM \\\"n15\\\"\\nGROUP BY \\\"MOSTYPE\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Applied the provided Grouped Numeric Sum template with group_col=\\\"MOSTYPE\\\" and measure_col=\\\"MOSTYPE\\\". CAST is used because the schema stores this numeric-discrete field as TEXT in SQLite.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_a7a7b49fd10ccbb3/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_a7a7b49fd10ccbb3/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..3a01dfa4e9ee1920f9dbc531436425e8eab337c1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_a7a7b49fd10ccbb3/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n15", + "model": "v2-cli:codex", + "run_id": "v2q_n15_a7a7b49fd10ccbb3", + "api_calls": 0, + "input_tokens": 23004, + "cached_input_tokens": 4480, + "output_tokens": 374, + "total_tokens": 23378, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10176.52, + "sql_execution_elapsed_ms_total": 10.78, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_a7a7b49fd10ccbb3/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_a82233987d4c4124/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_a82233987d4c4124/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..3e93ea9c722cad0d4f254ebefc4ce14aa366db74 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_a82233987d4c4124/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=PWABEDR, condition_col=APLEZIER. +Result preview: [{"PWABEDR": "0", "condition_ratio": 241.075}, {"PWABEDR": "1", "condition_ratio": null}, {"PWABEDR": "2", "condition_ratio": null}, {"PWABEDR": "3", "condition_ratio": null}, {"PWABEDR": "4", "condition_ratio": null}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_a82233987d4c4124/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_a82233987d4c4124/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..49d651a823ebaafb2fec6a1a9b9f82f54632aa1d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_a82233987d4c4124/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: n15 +-- 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_n15_a82233987d4c4124 +-- problem_id: v2p_n15_13651498799d6f70 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT + "PWABEDR", + SUM(CASE WHEN "APLEZIER" = '0' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "APLEZIER" = '1' THEN 1 ELSE 0 END) AS denominator_count + FROM "n15" + GROUP BY "PWABEDR" +) +SELECT + "PWABEDR", + 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/n15/artifacts/v2q_n15_a82233987d4c4124/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_a82233987d4c4124/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1ff2191bfc6786f9a9b3b8bb633e6378d7253cc7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_a82233987d4c4124/query_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 \"PWABEDR\",\n SUM(CASE WHEN \"APLEZIER\" = '0' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"APLEZIER\" = '1' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"n15\"\n GROUP BY \"PWABEDR\"\n)\nSELECT\n \"PWABEDR\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT\\n \\\"PWABEDR\\\",\\n SUM(CASE WHEN \\\"APLEZIER\\\" = '0' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"APLEZIER\\\" = '1' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"n15\\\"\\n GROUP BY \\\"PWABEDR\\\"\\n)\\nSELECT\\n \\\"PWABEDR\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\", \"columns\": [\"PWABEDR\", \"condition_ratio\"], \"rows\": [{\"PWABEDR\": \"0\", \"condition_ratio\": 241.075}, {\"PWABEDR\": \"1\", \"condition_ratio\": null}, {\"PWABEDR\": \"2\", \"condition_ratio\": null}, {\"PWABEDR\": \"3\", \"condition_ratio\": null}, {\"PWABEDR\": \"4\", \"condition_ratio\": null}, {\"PWABEDR\": \"5\", \"condition_ratio\": null}, {\"PWABEDR\": \"6\", \"condition_ratio\": null}], \"row_count_returned\": 7, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 6.66}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_a82233987d4c4124/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_a82233987d4c4124/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..8539ddac57db193d6fdb6d3c5d6deae668af7ab5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_a82233987d4c4124/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "n15", + "started_at": "2026-05-19T15:44:19.912956+00:00", + "ended_at": "2026-05-19T15:44:32.140498+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n15_a82233987d4c4124", + "problem_id": "v2p_n15_13651498799d6f70", + "dataset_id": "n15", + "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=PWABEDR, condition_col=APLEZIER.", + "bindings": { + "group_col": "PWABEDR", + "condition_col": "APLEZIER", + "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": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "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/n15/sql/v2q_n15_a82233987d4c4124.sql", + "usage_summary": { + "dataset_id": "n15", + "model": "v2-cli:codex", + "run_id": "v2q_n15_a82233987d4c4124", + "api_calls": 0, + "input_tokens": 23221, + "cached_input_tokens": 21888, + "output_tokens": 398, + "total_tokens": 23619, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12208.79, + "sql_execution_elapsed_ms_total": 6.66, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_a82233987d4c4124/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_a82233987d4c4124/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_a82233987d4c4124/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ca0d9ade6d864a7c11aaf70214f4e0e1063f2674 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_a82233987d4c4124/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:44:32.130551+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 12208.79, "started_at": "2026-05-19T15:44:19.920866+00:00", "ended_at": "2026-05-19T15:44:32.129695+00:00", "prompt_metrics": {"chars": 33888, "bytes_utf8": 33888, "lines": 1131, "estimated_tokens": null}, "response_metrics": {"chars": 620, "bytes_utf8": 620, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 23221, "cached_input_tokens": 21888, "output_tokens": 398, "reasoning_output_tokens": 206}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT\\n \\\"PWABEDR\\\",\\n SUM(CASE WHEN \\\"APLEZIER\\\" = '0' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"APLEZIER\\\" = '1' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"n15\\\"\\n GROUP BY \\\"PWABEDR\\\"\\n)\\nSELECT\\n \\\"PWABEDR\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Grouped ratio of APLEZIER='0' to APLEZIER='1' for each PWABEDR value, following the planned template and SQLite TEXT comparisons.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_a82233987d4c4124/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_a82233987d4c4124/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5295e2d7de1e551d02bc3479279e04b8a40099ea --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_a82233987d4c4124/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n15", + "model": "v2-cli:codex", + "run_id": "v2q_n15_a82233987d4c4124", + "api_calls": 0, + "input_tokens": 23221, + "cached_input_tokens": 21888, + "output_tokens": 398, + "total_tokens": 23619, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12208.79, + "sql_execution_elapsed_ms_total": 6.66, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_a82233987d4c4124/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_a986b22781fabdb1/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_a986b22781fabdb1/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..7b78bc084d0fa60fdbd467108badd8469a658f8d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_a986b22781fabdb1/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"MOSTYPE": "33", "support": 1401, "avg_response": 2.8329764453961457}, {"MOSTYPE": "38", "support": 569, "avg_response": 2.8400702987697715}, {"MOSTYPE": "8", "support": 546, "avg_response": 3.0750915750915753}, {"MOSTYPE": "39", "support": 542, "avg_response": 2.8911439114391144}, {"MOSTYPE": "9", "support": 460, "avg_response": 2.876086956521739}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_a986b22781fabdb1/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_a986b22781fabdb1/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..885a78f13ce8c36d903a6ca23057029ec27946a4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_a986b22781fabdb1/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: n15 +-- 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_n15_a986b22781fabdb1 +-- problem_id: v2p_n15_345e18ae5570f44c +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "MOSTYPE", + COUNT(*) AS support, + AVG("MGEMOMV") AS avg_response +FROM "n15" +GROUP BY "MOSTYPE" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_a986b22781fabdb1/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_a986b22781fabdb1/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d67e1283134425422e684b66642a86d75247b788 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_a986b22781fabdb1/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: n15\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_n15_a986b22781fabdb1\n-- problem_id: v2p_n15_345e18ae5570f44c\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"MOSTYPE\",\n COUNT(*) AS support,\n AVG(\"MGEMOMV\") AS avg_response\nFROM \"n15\"\nGROUP BY \"MOSTYPE\"\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: n15\\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_n15_a986b22781fabdb1\\n-- problem_id: v2p_n15_345e18ae5570f44c\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"MOSTYPE\\\",\\n COUNT(*) AS support,\\n AVG(\\\"MGEMOMV\\\") AS avg_response\\nFROM \\\"n15\\\"\\nGROUP BY \\\"MOSTYPE\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"MOSTYPE\", \"support\", \"avg_response\"], \"rows\": [{\"MOSTYPE\": \"33\", \"support\": 1401, \"avg_response\": 2.8329764453961457}, {\"MOSTYPE\": \"38\", \"support\": 569, \"avg_response\": 2.8400702987697715}, {\"MOSTYPE\": \"8\", \"support\": 546, \"avg_response\": 3.0750915750915753}, {\"MOSTYPE\": \"39\", \"support\": 542, \"avg_response\": 2.8911439114391144}, {\"MOSTYPE\": \"9\", \"support\": 460, \"avg_response\": 2.876086956521739}, {\"MOSTYPE\": \"3\", \"support\": 433, \"avg_response\": 2.2170900692840645}, {\"MOSTYPE\": \"23\", \"support\": 376, \"avg_response\": 1.6861702127659575}, {\"MOSTYPE\": \"36\", \"support\": 373, \"avg_response\": 2.415549597855228}, {\"MOSTYPE\": \"35\", \"support\": 362, \"avg_response\": 2.685082872928177}, {\"MOSTYPE\": \"41\", \"support\": 355, \"avg_response\": 3.0535211267605633}, {\"MOSTYPE\": \"34\", \"support\": 325, \"avg_response\": 3.046153846153846}, {\"MOSTYPE\": \"24\", \"support\": 324, \"avg_response\": 2.29320987654321}, {\"MOSTYPE\": \"31\", \"support\": 318, \"avg_response\": 2.5660377358490565}, {\"MOSTYPE\": \"13\", \"support\": 302, \"avg_response\": 2.9735099337748343}, {\"MOSTYPE\": \"11\", \"support\": 286, \"avg_response\": 2.534965034965035}, {\"MOSTYPE\": \"10\", \"support\": 271, \"avg_response\": 3.5202952029520294}, {\"MOSTYPE\": \"32\", \"support\": 234, \"avg_response\": 2.5555555555555554}, {\"MOSTYPE\": \"37\", \"support\": 233, \"avg_response\": 2.48068669527897}, {\"MOSTYPE\": \"1\", \"support\": 218, \"avg_response\": 2.802752293577982}, {\"MOSTYPE\": \"6\", \"support\": 209, \"avg_response\": 3.148325358851675}, {\"MOSTYPE\": \"12\", \"support\": 194, \"avg_response\": 3.2628865979381443}, {\"MOSTYPE\": \"30\", \"support\": 190, \"avg_response\": 2.221052631578947}, {\"MOSTYPE\": \"22\", \"support\": 169, \"avg_response\": 2.165680473372781}, {\"MOSTYPE\": \"2\", \"support\": 148, \"avg_response\": 3.02027027027027}, {\"MOSTYPE\": \"29\", \"support\": 139, \"avg_response\": 2.366906474820144}, {\"MOSTYPE\": \"40\", \"support\": 137, \"avg_response\": 3.0583941605839415}, {\"MOSTYPE\": \"25\", \"support\": 129, \"avg_response\": 1.945736434108527}, {\"MOSTYPE\": \"4\", \"support\": 90, \"avg_response\": 1.9777777777777779}, {\"MOSTYPE\": \"26\", \"support\": 79, \"avg_response\": 1.5316455696202531}, {\"MOSTYPE\": \"27\", \"support\": 77, \"avg_response\": 1.7922077922077921}, {\"MOSTYPE\": \"7\", \"support\": 72, \"avg_response\": 2.888888888888889}, {\"MOSTYPE\": \"5\", \"support\": 70, \"avg_response\": 2.2714285714285714}, {\"MOSTYPE\": \"20\", \"support\": 42, \"avg_response\": 2.261904761904762}, {\"MOSTYPE\": \"28\", \"support\": 41, \"avg_response\": 1.7317073170731707}, {\"MOSTYPE\": \"21\", \"support\": 29, \"avg_response\": 2.1724137931034484}, {\"MOSTYPE\": \"18\", \"support\": 27, \"avg_response\": 1.4444444444444444}, {\"MOSTYPE\": \"16\", \"support\": 25, \"avg_response\": 1.56}, {\"MOSTYPE\": \"17\", \"support\": 13, \"avg_response\": 2.0}, {\"MOSTYPE\": \"19\", \"support\": 7, \"avg_response\": 1.7142857142857142}, {\"MOSTYPE\": \"15\", \"support\": 7, \"avg_response\": 1.0}], \"row_count_returned\": 40, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 5.7}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_a986b22781fabdb1/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_a986b22781fabdb1/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..4bf06461f5b19ad49c8d70228dff90c70a2b6a4a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_a986b22781fabdb1/run_manifest.json @@ -0,0 +1,60 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "n15", + "started_at": "2026-05-19T16:14:24.963216+00:00", + "ended_at": "2026-05-19T16:14:24.969800+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n15_a986b22781fabdb1", + "problem_id": "v2p_n15_345e18ae5570f44c", + "dataset_id": "n15", + "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=MGEMOMV, key_col=MOSTYPE.", + "bindings": { + "key_col": "MOSTYPE", + "measure_col": "MGEMOMV", + "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=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/n15/sql/v2q_n15_a986b22781fabdb1.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/n15/artifacts/v2q_n15_a986b22781fabdb1/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_a986b22781fabdb1/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_a986b22781fabdb1/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/n15/artifacts/v2q_n15_a9a297445315f0c6/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_a9a297445315f0c6/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..b444ba0219b7e8c1374ccf01692a30a3226206a0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_a9a297445315f0c6/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=MAUT1, measure_col=MAUT1. +Result preview: [{"MAUT1": "1", "MOSTYPE": "26", "total_measure": 12.0, "share_within_group": 60.0}, {"MAUT1": "8", "MOSTYPE": "33", "total_measure": 600.0, "share_within_group": 17.24137931034483}, {"MAUT1": "4", "MOSTYPE": "33", "total_measure": 504.0, "share_within_group": 17.027027027027028}, {"MAUT1": "2", "MOSTYPE": "33", "total_measure": 32.0, "share_within_group": 15.686274509803921}, {"MAUT1": "5", "MOSTYPE": "33", "total_measure": 1625.0, "share_within_group": 15.432098765432098}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_a9a297445315f0c6/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_a9a297445315f0c6/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..3f1f759fa49b781db35d46a6bc528f13ca1e437d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_a9a297445315f0c6/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: n15 +-- 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_n15_a9a297445315f0c6 +-- problem_id: v2p_n15_01b023f939fb35b6 +-- realization_mode: agent +-- source_kind: agent +SELECT + "MAUT1", + "MOSTYPE", + SUM(CAST("MAUT1" AS REAL)) AS total_measure, + SUM(CAST("MAUT1" AS REAL)) * 100.0 / NULLIF(SUM(SUM(CAST("MAUT1" AS REAL))) OVER (PARTITION BY "MAUT1"), 0) AS share_within_group +FROM "n15" +GROUP BY "MAUT1", "MOSTYPE" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_a9a297445315f0c6/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_a9a297445315f0c6/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8c10419df73d085efd3f21ca048700eac5421595 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_a9a297445315f0c6/query_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 \"MAUT1\",\n \"MOSTYPE\",\n SUM(CAST(\"MAUT1\" AS REAL)) AS total_measure,\n SUM(CAST(\"MAUT1\" AS REAL)) * 100.0 / NULLIF(SUM(SUM(CAST(\"MAUT1\" AS REAL))) OVER (PARTITION BY \"MAUT1\"), 0) AS share_within_group\nFROM \"n15\"\nGROUP BY \"MAUT1\", \"MOSTYPE\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"MAUT1\\\",\\n \\\"MOSTYPE\\\",\\n SUM(CAST(\\\"MAUT1\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"MAUT1\\\" AS REAL)) * 100.0 / NULLIF(SUM(SUM(CAST(\\\"MAUT1\\\" AS REAL))) OVER (PARTITION BY \\\"MAUT1\\\"), 0) AS share_within_group\\nFROM \\\"n15\\\"\\nGROUP BY \\\"MAUT1\\\", \\\"MOSTYPE\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"MAUT1\", \"MOSTYPE\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"MAUT1\": \"1\", \"MOSTYPE\": \"26\", \"total_measure\": 12.0, \"share_within_group\": 60.0}, {\"MAUT1\": \"8\", \"MOSTYPE\": \"33\", \"total_measure\": 600.0, \"share_within_group\": 17.24137931034483}, {\"MAUT1\": \"4\", \"MOSTYPE\": \"33\", \"total_measure\": 504.0, \"share_within_group\": 17.027027027027028}, {\"MAUT1\": \"2\", \"MOSTYPE\": \"33\", \"total_measure\": 32.0, \"share_within_group\": 15.686274509803921}, {\"MAUT1\": \"5\", \"MOSTYPE\": \"33\", \"total_measure\": 1625.0, \"share_within_group\": 15.432098765432098}, {\"MAUT1\": \"7\", \"MOSTYPE\": \"33\", \"total_measure\": 2520.0, \"share_within_group\": 15.397775876817793}, {\"MAUT1\": \"2\", \"MOSTYPE\": \"26\", \"total_measure\": 28.0, \"share_within_group\": 13.72549019607843}, {\"MAUT1\": \"2\", \"MOSTYPE\": \"34\", \"total_measure\": 28.0, \"share_within_group\": 13.72549019607843}, {\"MAUT1\": \"9\", \"MOSTYPE\": \"33\", \"total_measure\": 954.0, \"share_within_group\": 12.78648974668275}, {\"MAUT1\": \"8\", \"MOSTYPE\": \"8\", \"total_measure\": 440.0, \"share_within_group\": 12.64367816091954}, {\"MAUT1\": \"9\", \"MOSTYPE\": \"12\", \"total_measure\": 936.0, \"share_within_group\": 12.545235223160434}, {\"MAUT1\": \"6\", \"MOSTYPE\": \"33\", \"total_measure\": 2088.0, \"share_within_group\": 12.331679659815734}, {\"MAUT1\": \"2\", \"MOSTYPE\": \"36\", \"total_measure\": 22.0, \"share_within_group\": 10.784313725490197}, {\"MAUT1\": \"3\", \"MOSTYPE\": \"33\", \"total_measure\": 129.0, \"share_within_group\": 10.75}, {\"MAUT1\": \"1\", \"MOSTYPE\": \"16\", \"total_measure\": 2.0, \"share_within_group\": 10.0}, {\"MAUT1\": \"1\", \"MOSTYPE\": \"30\", \"total_measure\": 2.0, \"share_within_group\": 10.0}, {\"MAUT1\": \"7\", \"MOSTYPE\": \"8\", \"total_measure\": 1477.0, \"share_within_group\": 9.02480752780154}, {\"MAUT1\": \"3\", \"MOSTYPE\": \"41\", \"total_measure\": 105.0, \"share_within_group\": 8.75}, {\"MAUT1\": \"9\", \"MOSTYPE\": \"8\", \"total_measure\": 639.0, \"share_within_group\": 8.56453558504222}, {\"MAUT1\": \"4\", \"MOSTYPE\": \"37\", \"total_measure\": 244.0, \"share_within_group\": 8.243243243243244}, {\"MAUT1\": \"9\", \"MOSTYPE\": \"10\", \"total_measure\": 603.0, \"share_within_group\": 8.082026537997587}, {\"MAUT1\": \"9\", \"MOSTYPE\": \"13\", \"total_measure\": 603.0, \"share_within_group\": 8.082026537997587}, {\"MAUT1\": \"2\", \"MOSTYPE\": \"25\", \"total_measure\": 16.0, \"share_within_group\": 7.8431372549019605}, {\"MAUT1\": \"3\", \"MOSTYPE\": \"24\", \"total_measure\": 93.0, \"share_within_group\": 7.75}, {\"MAUT1\": \"3\", \"MOSTYPE\": \"38\", \"total_measure\": 93.0, \"share_within_group\": 7.75}, {\"MAUT1\": \"5\", \"MOSTYPE\": \"34\", \"total_measure\": 780.0, \"share_within_group\": 7.407407407407407}, {\"MAUT1\": \"9\", \"MOSTYPE\": \"9\", \"total_measure\": 540.0, \"share_within_group\": 7.237635705669481}, {\"MAUT1\": \"8\", \"MOSTYPE\": \"10\", \"total_measure\": 248.0, \"share_within_group\": 7.126436781609195}, {\"MAUT1\": \"8\", \"MOSTYPE\": \"13\", \"total_measure\": 248.0, \"share_within_group\": 7.126436781609195}, {\"MAUT1\": \"3\", \"MOSTYPE\": \"40\", \"total_measure\": 84.0, \"share_within_group\": 7.0}, {\"MAUT1\": \"7\", \"MOSTYPE\": \"38\", \"total_measure\": 1141.0, \"share_within_group\": 6.971770744225834}, {\"MAUT1\": \"5\", \"MOSTYPE\": \"23\", \"total_measure\": 720.0, \"share_within_group\": 6.837606837606837}, {\"MAUT1\": \"9\", \"MOSTYPE\": \"39\", \"total_measure\": 486.0, \"share_within_group\": 6.513872135102533}, {\"MAUT1\": \"6\", \"MOSTYPE\": \"39\", \"total_measure\": 1080.0, \"share_within_group\": 6.378454996456414}, {\"MAUT1\": \"4\", \"MOSTYPE\": \"38\", \"total_measure\": 180.0, \"share_within_group\": 6.081081081081081}, {\"MAUT1\": \"5\", \"MOSTYPE\": \"38\", \"total_measure\": 640.0, \"share_within_group\": 6.077872744539412}, {\"MAUT1\": \"8\", \"MOSTYPE\": \"9\", \"total_measure\": 208.0, \"share_within_group\": 5.977011494252873}, {\"MAUT1\": \"7\", \"MOSTYPE\": \"13\", \"total_measure\": 973.0, \"share_within_group\": 5.945252352437981}, {\"MAUT1\": \"2\", \"MOSTYPE\": \"31\", \"total_measure\": 12.0, \"share_within_group\": 5.882352941176471}, {\"MAUT1\": \"5\", \"MOSTYPE\": \"39\", \"total_measure\": 615.0, \"share_within_group\": 5.84045584045584}, {\"MAUT1\": \"4\", \"MOSTYPE\": \"24\", \"total_measure\": 172.0, \"share_within_group\": 5.8108108108108105}, {\"MAUT1\": \"8\", \"MOSTYPE\": \"6\", \"total_measure\": 200.0, \"share_within_group\": 5.747126436781609}, {\"MAUT1\": \"4\", \"MOSTYPE\": \"23\", \"total_measure\": 164.0, \"share_within_group\": 5.54054054054054}, {\"MAUT1\": \"4\", \"MOSTYPE\": \"9\", \"total_measure\": 164.0, \"share_within_group\": 5.54054054054054}, {\"MAUT1\": \"8\", \"MOSTYPE\": \"11\", \"total_measure\": 192.0, \"share_within_group\": 5.517241379310345}, {\"MAUT1\": \"3\", \"MOSTYPE\": \"30\", \"total_measure\": 66.0, \"share_within_group\": 5.5}, {\"MAUT1\": \"7\", \"MOSTYPE\": \"39\", \"total_measure\": 896.0, \"share_within_group\": 5.474764756201882}, {\"MAUT1\": \"6\", \"MOSTYPE\": \"3\", \"total_measure\": 924.0, \"share_within_group\": 5.457122608079376}, {\"MAUT1\": \"6\", \"MOSTYPE\": \"8\", \"total_measure\": 924.0, \"share_within_group\": 5.457122608079376}, {\"MAUT1\": \"7\", \"MOSTYPE\": \"3\", \"total_measure\": 875.0, \"share_within_group\": 5.3464499572284}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 13.3}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_a9a297445315f0c6/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_a9a297445315f0c6/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..3edf3fc8ee0a6b5de2dded26836249f029c33572 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_a9a297445315f0c6/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "n15", + "started_at": "2026-05-19T15:39:15.333539+00:00", + "ended_at": "2026-05-19T15:39:30.212476+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n15_a9a297445315f0c6", + "problem_id": "v2p_n15_01b023f939fb35b6", + "dataset_id": "n15", + "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=MAUT1, measure_col=MAUT1.", + "bindings": { + "group_col": "MAUT1", + "measure_col": "MAUT1", + "item_col": "MOSTYPE", + "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": 7.64, + "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", + "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/n15/sql/v2q_n15_a9a297445315f0c6.sql", + "usage_summary": { + "dataset_id": "n15", + "model": "v2-cli:codex", + "run_id": "v2q_n15_a9a297445315f0c6", + "api_calls": 0, + "input_tokens": 23127, + "cached_input_tokens": 21888, + "output_tokens": 719, + "total_tokens": 23846, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14856.19, + "sql_execution_elapsed_ms_total": 13.3, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_a9a297445315f0c6/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_a9a297445315f0c6/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_a9a297445315f0c6/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..62f9b8279e2c3c537b4a41f7c208004eb89ea500 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_a9a297445315f0c6/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:39:30.194327+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 14856.19, "started_at": "2026-05-19T15:39:15.337241+00:00", "ended_at": "2026-05-19T15:39:30.193455+00:00", "prompt_metrics": {"chars": 33484, "bytes_utf8": 33484, "lines": 1130, "estimated_tokens": null}, "response_metrics": {"chars": 639, "bytes_utf8": 639, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 23127, "cached_input_tokens": 21888, "output_tokens": 719, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"MAUT1\\\",\\n \\\"MOSTYPE\\\",\\n SUM(CAST(\\\"MAUT1\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"MAUT1\\\" AS REAL)) * 100.0 / NULLIF(SUM(SUM(CAST(\\\"MAUT1\\\" AS REAL))) OVER (PARTITION BY \\\"MAUT1\\\"), 0) AS share_within_group\\nFROM \\\"n15\\\"\\nGROUP BY \\\"MAUT1\\\", \\\"MOSTYPE\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Uses the requested Within-Group Share of Total template with group_col=\\\"MAUT1\\\", item_col=\\\"MOSTYPE\\\", and measure_col=\\\"MAUT1\\\". CAST is added because the schema stores these fields as TEXT, and NULLIF avoids division-by-zero for groups where \\\"MAUT1\\\" sums to 0.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_a9a297445315f0c6/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_a9a297445315f0c6/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..fe6b6fcd99627b29c8a752fac5739cdcde551cc0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_a9a297445315f0c6/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n15", + "model": "v2-cli:codex", + "run_id": "v2q_n15_a9a297445315f0c6", + "api_calls": 0, + "input_tokens": 23127, + "cached_input_tokens": 21888, + "output_tokens": 719, + "total_tokens": 23846, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14856.19, + "sql_execution_elapsed_ms_total": 13.3, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_a9a297445315f0c6/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_b1f6895e5edfc54c/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_b1f6895e5edfc54c/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..3345f0c7ad839c16ded8ff6f3ebc5ae20d77c73f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_b1f6895e5edfc54c/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=MINKGEM, condition_col=AWAOREG. +Result preview: [{"MINKGEM": "5", "condition_ratio": 1267.0}, {"MINKGEM": "3", "condition_ratio": 357.77777777777777}, {"MINKGEM": "6", "condition_ratio": 322.0}, {"MINKGEM": "2", "condition_ratio": 221.0}, {"MINKGEM": "4", "condition_ratio": 203.13333333333333}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_b1f6895e5edfc54c/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_b1f6895e5edfc54c/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..10a2d4722663fc8b478a320159717ace3bf34824 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_b1f6895e5edfc54c/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: n15 +-- 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_n15_b1f6895e5edfc54c +-- problem_id: v2p_n15_603a5a3caff227aa +-- realization_mode: agent +-- source_kind: agent +WITH "grouped" AS ( + SELECT + "MINKGEM", + SUM(CASE WHEN "AWAOREG" = '0' THEN 1 ELSE 0 END) AS "numerator_count", + SUM(CASE WHEN "AWAOREG" = '1' THEN 1 ELSE 0 END) AS "denominator_count" + FROM "n15" + GROUP BY "MINKGEM" +) +SELECT + "MINKGEM", + 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/n15/artifacts/v2q_n15_b1f6895e5edfc54c/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_b1f6895e5edfc54c/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..343f7c9e3dc897b37d92fbd4e4bf58b9c47386ff --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_b1f6895e5edfc54c/query_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 \"MINKGEM\",\n SUM(CASE WHEN \"AWAOREG\" = '0' THEN 1 ELSE 0 END) AS \"numerator_count\",\n SUM(CASE WHEN \"AWAOREG\" = '1' THEN 1 ELSE 0 END) AS \"denominator_count\"\n FROM \"n15\"\n GROUP BY \"MINKGEM\"\n)\nSELECT\n \"MINKGEM\",\n CAST(\"numerator_count\" AS FLOAT) / NULLIF(\"denominator_count\", 0) AS \"condition_ratio\"\nFROM \"grouped\"\nORDER BY \"condition_ratio\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH \\\"grouped\\\" AS (\\n SELECT\\n \\\"MINKGEM\\\",\\n SUM(CASE WHEN \\\"AWAOREG\\\" = '0' THEN 1 ELSE 0 END) AS \\\"numerator_count\\\",\\n SUM(CASE WHEN \\\"AWAOREG\\\" = '1' THEN 1 ELSE 0 END) AS \\\"denominator_count\\\"\\n FROM \\\"n15\\\"\\n GROUP BY \\\"MINKGEM\\\"\\n)\\nSELECT\\n \\\"MINKGEM\\\",\\n CAST(\\\"numerator_count\\\" AS FLOAT) / NULLIF(\\\"denominator_count\\\", 0) AS \\\"condition_ratio\\\"\\nFROM \\\"grouped\\\"\\nORDER BY \\\"condition_ratio\\\" DESC;\", \"columns\": [\"MINKGEM\", \"condition_ratio\"], \"rows\": [{\"MINKGEM\": \"5\", \"condition_ratio\": 1267.0}, {\"MINKGEM\": \"3\", \"condition_ratio\": 357.77777777777777}, {\"MINKGEM\": \"6\", \"condition_ratio\": 322.0}, {\"MINKGEM\": \"2\", \"condition_ratio\": 221.0}, {\"MINKGEM\": \"4\", \"condition_ratio\": 203.13333333333333}, {\"MINKGEM\": \"1\", \"condition_ratio\": 38.0}, {\"MINKGEM\": \"0\", \"condition_ratio\": null}, {\"MINKGEM\": \"7\", \"condition_ratio\": null}, {\"MINKGEM\": \"8\", \"condition_ratio\": null}, {\"MINKGEM\": \"9\", \"condition_ratio\": null}], \"row_count_returned\": 10, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 6.46}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_b1f6895e5edfc54c/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_b1f6895e5edfc54c/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..e90859fcdbf968bb68a76c7cfd0e9ac3377c6d38 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_b1f6895e5edfc54c/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "n15", + "started_at": "2026-05-19T15:43:12.931251+00:00", + "ended_at": "2026-05-19T15:43:33.486601+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n15_b1f6895e5edfc54c", + "problem_id": "v2p_n15_603a5a3caff227aa", + "dataset_id": "n15", + "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=MINKGEM, condition_col=AWAOREG.", + "bindings": { + "group_col": "MINKGEM", + "condition_col": "AWAOREG", + "condition_value": "0", + "positive_value": "0", + "negative_value": "1", + "top_k": 11, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 5.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=1/1", + "binding_index=41" + ], + "template_selection_mode": "rule", + "selected_template_rank": 4, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_b1f6895e5edfc54c.sql", + "usage_summary": { + "dataset_id": "n15", + "model": "v2-cli:codex", + "run_id": "v2q_n15_b1f6895e5edfc54c", + "api_calls": 0, + "input_tokens": 23218, + "cached_input_tokens": 12032, + "output_tokens": 754, + "total_tokens": 23972, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 20538.0, + "sql_execution_elapsed_ms_total": 6.46, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_b1f6895e5edfc54c/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_b1f6895e5edfc54c/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_b1f6895e5edfc54c/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..27a3ba5917418833fb21250ea19775d357202458 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_b1f6895e5edfc54c/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:43:33.477955+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 20538.0, "started_at": "2026-05-19T15:43:12.938953+00:00", "ended_at": "2026-05-19T15:43:33.477019+00:00", "prompt_metrics": {"chars": 33885, "bytes_utf8": 33885, "lines": 1131, "estimated_tokens": null}, "response_metrics": {"chars": 797, "bytes_utf8": 797, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 23218, "cached_input_tokens": 12032, "output_tokens": 754, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH \\\"grouped\\\" AS (\\n SELECT\\n \\\"MINKGEM\\\",\\n SUM(CASE WHEN \\\"AWAOREG\\\" = '0' THEN 1 ELSE 0 END) AS \\\"numerator_count\\\",\\n SUM(CASE WHEN \\\"AWAOREG\\\" = '1' THEN 1 ELSE 0 END) AS \\\"denominator_count\\\"\\n FROM \\\"n15\\\"\\n GROUP BY \\\"MINKGEM\\\"\\n)\\nSELECT\\n \\\"MINKGEM\\\",\\n CAST(\\\"numerator_count\\\" AS FLOAT) / NULLIF(\\\"denominator_count\\\", 0) AS \\\"condition_ratio\\\"\\nFROM \\\"grouped\\\"\\nORDER BY \\\"condition_ratio\\\" DESC;\",\"notes\":\"Uses the planned grouped ratio template with group_col=\\\"MINKGEM\\\" and condition_col=\\\"AWAOREG\\\", computing count(AWAOREG='0') divided by count(AWAOREG='1') for each income group. TEXT-typed columns are compared to string literals, and NULLIF prevents division-by-zero errors.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_b1f6895e5edfc54c/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_b1f6895e5edfc54c/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..3992925b6ec87720b7e34957298fff0b015cb30c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_b1f6895e5edfc54c/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n15", + "model": "v2-cli:codex", + "run_id": "v2q_n15_b1f6895e5edfc54c", + "api_calls": 0, + "input_tokens": 23218, + "cached_input_tokens": 12032, + "output_tokens": 754, + "total_tokens": 23972, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 20538.0, + "sql_execution_elapsed_ms_total": 6.46, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_b1f6895e5edfc54c/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_b58038d4c63874c4/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_b58038d4c63874c4/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..8470db2ddcf663faea0dd8af7e15746a14f2e834 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_b58038d4c63874c4/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "0", "support": 4376, "support_share": 0.4455304418652006, "cumulative_support": 4376}, {"value_label": "1", "support": 2658, "support_share": 0.2706169822846671, "cumulative_support": 7034}, {"value_label": "2", "support": 1434, "support_share": 0.14599877825290164, "cumulative_support": 8468}, {"value_label": "3", "support": 757, "support_share": 0.0770718794542863, "cumulative_support": 9225}, {"value_label": "4", "support": 378, "support_share": 0.038485033598045205, "cumulative_support": 9603}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_b58038d4c63874c4/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_b58038d4c63874c4/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..cf62bb4d5340121907c443d2b3130b5794a53523 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_b58038d4c63874c4/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: n15 +-- 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_n15_b58038d4c63874c4 +-- problem_id: v2p_n15_a6ae496dae862ebb +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "MSKD" AS value_label, COUNT(*) AS support + FROM "n15" + GROUP BY "MSKD" +), 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/n15/artifacts/v2q_n15_b58038d4c63874c4/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_b58038d4c63874c4/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ac3fb1f48f1a93c13caf357b9ddbd74bd5a879e3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_b58038d4c63874c4/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: n15\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_n15_b58038d4c63874c4\n-- problem_id: v2p_n15_a6ae496dae862ebb\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"MSKD\" AS value_label, COUNT(*) AS support\n FROM \"n15\"\n GROUP BY \"MSKD\"\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: n15\\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_n15_b58038d4c63874c4\\n-- problem_id: v2p_n15_a6ae496dae862ebb\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"MSKD\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"n15\\\"\\n GROUP BY \\\"MSKD\\\"\\n), ranked AS (\\n SELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\\n FROM grouped\\n)\\nSELECT *\\nFROM ranked\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"cumulative_support\"], \"rows\": [{\"value_label\": \"0\", \"support\": 4376, \"support_share\": 0.4455304418652006, \"cumulative_support\": 4376}, {\"value_label\": \"1\", \"support\": 2658, \"support_share\": 0.2706169822846671, \"cumulative_support\": 7034}, {\"value_label\": \"2\", \"support\": 1434, \"support_share\": 0.14599877825290164, \"cumulative_support\": 8468}, {\"value_label\": \"3\", \"support\": 757, \"support_share\": 0.0770718794542863, \"cumulative_support\": 9225}, {\"value_label\": \"4\", \"support\": 378, \"support_share\": 0.038485033598045205, \"cumulative_support\": 9603}, {\"value_label\": \"5\", \"support\": 158, \"support_share\": 0.016086336794950112, \"cumulative_support\": 9761}, {\"value_label\": \"6\", \"support\": 37, \"support_share\": 0.003767053553247811, \"cumulative_support\": 9798}, {\"value_label\": \"7\", \"support\": 22, \"support_share\": 0.002239869680309509, \"cumulative_support\": 9820}, {\"value_label\": \"8\", \"support\": 1, \"support_share\": 0.00010181225819588678, \"cumulative_support\": 9821}, {\"value_label\": \"9\", \"support\": 1, \"support_share\": 0.00010181225819588678, \"cumulative_support\": 9822}], \"row_count_returned\": 10, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 4.81}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_b58038d4c63874c4/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_b58038d4c63874c4/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..aaafc88b34894b1705934f3ae9afcfab41a64a20 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_b58038d4c63874c4/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "n15", + "started_at": "2026-05-19T16:14:24.828294+00:00", + "ended_at": "2026-05-19T16:14:24.833934+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n15_b58038d4c63874c4", + "problem_id": "v2p_n15_a6ae496dae862ebb", + "dataset_id": "n15", + "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=MSKD.", + "bindings": { + "group_col": "MSKD" + }, + "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/n15/sql/v2q_n15_b58038d4c63874c4.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/n15/artifacts/v2q_n15_b58038d4c63874c4/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_b58038d4c63874c4/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_b58038d4c63874c4/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/n15/artifacts/v2q_n15_db136dee04982bac/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_db136dee04982bac/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..3d2d9a8d93bf5e4f49a63f5d84609912f0e3617b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_db136dee04982bac/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "n15", + "started_at": "2026-05-19T16:12:27.556397+00:00", + "ended_at": "2026-05-19T16:12:34.914270+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n15_db136dee04982bac", + "problem_id": "v2p_n15_fd4ca68013ee5b4b", + "dataset_id": "n15", + "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=PBESAUT, measure_col=MSKB1.", + "bindings": { + "group_col": "PBESAUT", + "measure_col": "MSKB1", + "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": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=1/2", + "binding_index=133" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "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/n15/artifacts/v2q_n15_db136dee04982bac/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_db136dee04982bac/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..eb6b155a30e1965ff2db30c92f9df9804c670770 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_db136dee04982bac/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:12:30.569821+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": 3008.79, "started_at": "2026-05-19T16:12:27.560259+00:00", "ended_at": "2026-05-19T16:12:30.569075+00:00", "prompt_metrics": {"chars": 33157, "bytes_utf8": 33157, "lines": 1128, "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\":\"019e4102-913d-7321-92c2-7e80268540a1\"}\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": "2026-05-19T16:12:34.914178+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": 3340.49, "started_at": "2026-05-19T16:12:31.572242+00:00", "ended_at": "2026-05-19T16:12:34.912775+00:00", "prompt_metrics": {"chars": 33157, "bytes_utf8": 33157, "lines": 1128, "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-a0e0-7432-b949-b0a9fe254991\"}\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/n15/artifacts/v2q_n15_ddc4b0726ad2429b/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_ddc4b0726ad2429b/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..ddcbe3eeefe308fcaad8ba6a1d9706099c6c3ebd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_ddc4b0726ad2429b/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=MGODOV, measure_col=MGODOV. +Result preview: [{"MGODOV": "2", "total_measure": 4588}, {"MGODOV": "1", "total_measure": 3391}, {"MGODOV": "3", "total_measure": 1245}, {"MGODOV": "4", "total_measure": 880}, {"MGODOV": "5", "total_measure": 210}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_ddc4b0726ad2429b/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_ddc4b0726ad2429b/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..08adda706c9716c71cc299393f1c13283b425a65 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_ddc4b0726ad2429b/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: n15 +-- 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_n15_ddc4b0726ad2429b +-- problem_id: v2p_n15_5d3950936d1123f7 +-- realization_mode: agent +-- source_kind: agent +SELECT "MGODOV", SUM(CAST("MGODOV" AS NUMERIC)) AS total_measure +FROM "n15" +GROUP BY "MGODOV" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_ddc4b0726ad2429b/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_ddc4b0726ad2429b/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1924653a1a89c87be06abe87baa19922139c18ea --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_ddc4b0726ad2429b/query_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 \"MGODOV\", SUM(CAST(\"MGODOV\" AS NUMERIC)) AS total_measure\nFROM \"n15\"\nGROUP BY \"MGODOV\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"MGODOV\\\", SUM(CAST(\\\"MGODOV\\\" AS NUMERIC)) AS total_measure\\nFROM \\\"n15\\\"\\nGROUP BY \\\"MGODOV\\\"\\nORDER BY total_measure DESC;\", \"columns\": [\"MGODOV\", \"total_measure\"], \"rows\": [{\"MGODOV\": \"2\", \"total_measure\": 4588}, {\"MGODOV\": \"1\", \"total_measure\": 3391}, {\"MGODOV\": \"3\", \"total_measure\": 1245}, {\"MGODOV\": \"4\", \"total_measure\": 880}, {\"MGODOV\": \"5\", \"total_measure\": 210}, {\"MGODOV\": \"0\", \"total_measure\": 0}], \"row_count_returned\": 6, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 10.24}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_ddc4b0726ad2429b/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_ddc4b0726ad2429b/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..7ff6f85ba8bfbca60353ad794893caf5a1a01858 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_ddc4b0726ad2429b/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "n15", + "started_at": "2026-05-19T15:31:14.096904+00:00", + "ended_at": "2026-05-19T15:31:33.869647+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n15_ddc4b0726ad2429b", + "problem_id": "v2p_n15_5d3950936d1123f7", + "dataset_id": "n15", + "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=MGODOV, measure_col=MGODOV.", + "bindings": { + "group_col": "MGODOV", + "measure_col": "MGODOV", + "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": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=8", + "sql_variant_index=1/2", + "binding_index=7" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_ddc4b0726ad2429b.sql", + "usage_summary": { + "dataset_id": "n15", + "model": "v2-cli:codex", + "run_id": "v2q_n15_ddc4b0726ad2429b", + "api_calls": 0, + "input_tokens": 23008, + "cached_input_tokens": 21888, + "output_tokens": 319, + "total_tokens": 23327, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 19753.45, + "sql_execution_elapsed_ms_total": 10.24, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_ddc4b0726ad2429b/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_ddc4b0726ad2429b/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_ddc4b0726ad2429b/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9a3a1fdb5a173e3b42539c07052ebbcf896938e8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_ddc4b0726ad2429b/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:31:33.855711+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 19753.45, "started_at": "2026-05-19T15:31:14.100447+00:00", "ended_at": "2026-05-19T15:31:33.853929+00:00", "prompt_metrics": {"chars": 33075, "bytes_utf8": 33075, "lines": 1128, "estimated_tokens": null}, "response_metrics": {"chars": 354, "bytes_utf8": 354, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 23008, "cached_input_tokens": 21888, "output_tokens": 319, "reasoning_output_tokens": 214}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"MGODOV\\\", SUM(CAST(\\\"MGODOV\\\" AS NUMERIC)) AS total_measure\\nFROM \\\"n15\\\"\\nGROUP BY \\\"MGODOV\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the planned grouped-sum template with group_col=\\\"MGODOV\\\" and measure_col=\\\"MGODOV\\\". CAST to NUMERIC is included because the schema stores this field as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_ddc4b0726ad2429b/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_ddc4b0726ad2429b/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..81705c6cf015dbbee2cb9ccd23947463901237b3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_ddc4b0726ad2429b/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n15", + "model": "v2-cli:codex", + "run_id": "v2q_n15_ddc4b0726ad2429b", + "api_calls": 0, + "input_tokens": 23008, + "cached_input_tokens": 21888, + "output_tokens": 319, + "total_tokens": 23327, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 19753.45, + "sql_execution_elapsed_ms_total": 10.24, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_ddc4b0726ad2429b/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_e759f077a151089c/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_e759f077a151089c/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..2ef8158eff0b583812fde47cd421efb6f65b01ab --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_e759f077a151089c/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "n15", + "started_at": "2026-05-19T16:13:55.765419+00:00", + "ended_at": "2026-05-19T16:14:02.744082+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n15_e759f077a151089c", + "problem_id": "v2p_n15_de8b4093d54e6760", + "dataset_id": "n15", + "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=PBROM, measure_col=MAUT1.", + "bindings": { + "group_col": "PBROM", + "measure_col": "MAUT1", + "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": 8.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=8", + "sql_variant_index=1/2", + "binding_index=139" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_e759f077a151089c/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_e759f077a151089c/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b7829071a1a8ee8bab3c8d5b3f8e5e4de2b1722a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_e759f077a151089c/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:13:58.988842+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": 3218.7, "started_at": "2026-05-19T16:13:55.768525+00:00", "ended_at": "2026-05-19T16:13:58.987258+00:00", "prompt_metrics": {"chars": 33153, "bytes_utf8": 33153, "lines": 1128, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e4103-e9b6-7090-b2ef-54d579c01d45\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:14:02.743859+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": 2751.86, "started_at": "2026-05-19T16:13:59.990310+00:00", "ended_at": "2026-05-19T16:14:02.742203+00:00", "prompt_metrics": {"chars": 33153, "bytes_utf8": 33153, "lines": 1128, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e4103-fa2f-7923-9860-497f92531c3e\"}\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/n15/artifacts/v2q_n15_e75a78bed400f2c2/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_e75a78bed400f2c2/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..798e4d3dade509e688a643cc78b04813c7e44379 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_e75a78bed400f2c2/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "n15", + "started_at": "2026-05-19T16:10:49.970256+00:00", + "ended_at": "2026-05-19T16:10:57.261197+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n15_e75a78bed400f2c2", + "problem_id": "v2p_n15_431a20c46d474d0c", + "dataset_id": "n15", + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role count_distribution. Focus on group_col=MINKM30.", + "bindings": { + "group_col": "MINKM30", + "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": 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\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=3", + "sql_variant_index=2/2", + "binding_index=122" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "problem_index_within_template": 3, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_e75a78bed400f2c2/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_e75a78bed400f2c2/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2aa6119dd00f76e8107ce91d410393efc23ee58a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_e75a78bed400f2c2/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:10:53.120612+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": 3146.29, "started_at": "2026-05-19T16:10:49.973445+00:00", "ended_at": "2026-05-19T16:10:53.119764+00:00", "prompt_metrics": {"chars": 33073, "bytes_utf8": 33073, "lines": 1126, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e4101-1408-7b12-8c49-391cc97414c8\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:10:57.261104+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": 3137.35, "started_at": "2026-05-19T16:10:54.122914+00:00", "ended_at": "2026-05-19T16:10:57.260298+00:00", "prompt_metrics": {"chars": 33073, "bytes_utf8": 33073, "lines": 1126, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e4101-2427-7a20-89c7-b116b3a92e83\"}\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/n15/artifacts/v2q_n15_e97585a16f73f141/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_e97585a16f73f141/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..0dee55a33c61af0d29a078df4296994c4e76223d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_e97585a16f73f141/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=MKOOPKLA, condition_col=ABRAND. +Result preview: [{"MKOOPKLA": "6", "condition_ratio": 1.28125}, {"MKOOPKLA": "1", "condition_ratio": 1.1995249406175772}, {"MKOOPKLA": "7", "condition_ratio": 1.1954022988505748}, {"MKOOPKLA": "3", "condition_ratio": 1.1805433829973708}, {"MKOOPKLA": "8", "condition_ratio": 1.1641337386018238}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_e97585a16f73f141/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_e97585a16f73f141/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..730e9661686238faebc45c5bf8d8bd6a4ece33c9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_e97585a16f73f141/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: n15 +-- 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_n15_e97585a16f73f141 +-- problem_id: v2p_n15_c9aa23bdd14e3a55 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "MKOOPKLA", + SUM(CASE WHEN "ABRAND" = '1' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "ABRAND" = '0' THEN 1 ELSE 0 END) AS denominator_count + FROM "n15" + GROUP BY "MKOOPKLA" +) +SELECT "MKOOPKLA", + 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/n15/artifacts/v2q_n15_e97585a16f73f141/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_e97585a16f73f141/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..68e1b22ac52783a566819cde6d964de084485ba0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_e97585a16f73f141/query_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 \"MKOOPKLA\",\n SUM(CASE WHEN \"ABRAND\" = '1' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"ABRAND\" = '0' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"n15\"\n GROUP BY \"MKOOPKLA\"\n)\nSELECT \"MKOOPKLA\",\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 \\\"MKOOPKLA\\\",\\n SUM(CASE WHEN \\\"ABRAND\\\" = '1' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"ABRAND\\\" = '0' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"n15\\\"\\n GROUP BY \\\"MKOOPKLA\\\"\\n)\\nSELECT \\\"MKOOPKLA\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\", \"columns\": [\"MKOOPKLA\", \"condition_ratio\"], \"rows\": [{\"MKOOPKLA\": \"6\", \"condition_ratio\": 1.28125}, {\"MKOOPKLA\": \"1\", \"condition_ratio\": 1.1995249406175772}, {\"MKOOPKLA\": \"7\", \"condition_ratio\": 1.1954022988505748}, {\"MKOOPKLA\": \"3\", \"condition_ratio\": 1.1805433829973708}, {\"MKOOPKLA\": \"8\", \"condition_ratio\": 1.1641337386018238}, {\"MKOOPKLA\": \"2\", \"condition_ratio\": 1.0485714285714285}, {\"MKOOPKLA\": \"5\", \"condition_ratio\": 1.0433839479392624}, {\"MKOOPKLA\": \"4\", \"condition_ratio\": 1.0188679245283019}], \"row_count_returned\": 8, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 6.52}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_e97585a16f73f141/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_e97585a16f73f141/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..fe979ff7696a5e9312c49c84751abe9a5a6666a6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_e97585a16f73f141/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "n15", + "started_at": "2026-05-19T15:43:33.487136+00:00", + "ended_at": "2026-05-19T15:43:53.818120+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n15_e97585a16f73f141", + "problem_id": "v2p_n15_c9aa23bdd14e3a55", + "dataset_id": "n15", + "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=MKOOPKLA, condition_col=ABRAND.", + "bindings": { + "group_col": "MKOOPKLA", + "condition_col": "ABRAND", + "condition_value": "1", + "positive_value": "1", + "negative_value": "0", + "top_k": 12, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 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=7", + "sql_variant_index=1/1", + "binding_index=42" + ], + "template_selection_mode": "rule", + "selected_template_rank": 4, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_e97585a16f73f141.sql", + "usage_summary": { + "dataset_id": "n15", + "model": "v2-cli:codex", + "run_id": "v2q_n15_e97585a16f73f141", + "api_calls": 0, + "input_tokens": 23218, + "cached_input_tokens": 21888, + "output_tokens": 578, + "total_tokens": 23796, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 20317.38, + "sql_execution_elapsed_ms_total": 6.52, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_e97585a16f73f141/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_e97585a16f73f141/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_e97585a16f73f141/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8b8efbf3afdfc19dfc2ae55465e0dd0887d5cbb1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_e97585a16f73f141/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:43:53.809499+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 20317.38, "started_at": "2026-05-19T15:43:33.490666+00:00", "ended_at": "2026-05-19T15:43:53.808073+00:00", "prompt_metrics": {"chars": 33886, "bytes_utf8": 33886, "lines": 1131, "estimated_tokens": null}, "response_metrics": {"chars": 628, "bytes_utf8": 628, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 23218, "cached_input_tokens": 21888, "output_tokens": 578, "reasoning_output_tokens": 391}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT \\\"MKOOPKLA\\\",\\n SUM(CASE WHEN \\\"ABRAND\\\" = '1' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"ABRAND\\\" = '0' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"n15\\\"\\n GROUP BY \\\"MKOOPKLA\\\"\\n)\\nSELECT \\\"MKOOPKLA\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Uses the planned grouped ratio template with group_col=MKOOPKLA and condition_col=ABRAND, comparing counts of '1' versus '0' within each group.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_e97585a16f73f141/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_e97585a16f73f141/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..45daaf6b207d13104424ef8470ebb748e42874c2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_e97585a16f73f141/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n15", + "model": "v2-cli:codex", + "run_id": "v2q_n15_e97585a16f73f141", + "api_calls": 0, + "input_tokens": 23218, + "cached_input_tokens": 21888, + "output_tokens": 578, + "total_tokens": 23796, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 20317.38, + "sql_execution_elapsed_ms_total": 6.52, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_e97585a16f73f141/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_ee133c917cad01da/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_ee133c917cad01da/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..bab9b4c9aa7ba7e8ae4251218ddd271a1d8828fa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_ee133c917cad01da/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "0", "support": 9784, "support_share": 0.9961311341885563, "cumulative_support": 9784}, {"value_label": "1", "support": 34, "support_share": 0.0034616167786601505, "cumulative_support": 9818}, {"value_label": "2", "support": 4, "support_share": 0.00040724903278354713, "cumulative_support": 9822}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_ee133c917cad01da/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_ee133c917cad01da/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..da0b87fc2e393ed577dbcbd96e1e901da6d86b38 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_ee133c917cad01da/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: n15 +-- 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_n15_ee133c917cad01da +-- problem_id: v2p_n15_8fe71f5e9c347fa9 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "AWAOREG" AS value_label, COUNT(*) AS support + FROM "n15" + GROUP BY "AWAOREG" +), 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/n15/artifacts/v2q_n15_ee133c917cad01da/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_ee133c917cad01da/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1720b3677c54b7748f74d847f6182b3e1cf2edf5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_ee133c917cad01da/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: n15\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_n15_ee133c917cad01da\n-- problem_id: v2p_n15_8fe71f5e9c347fa9\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"AWAOREG\" AS value_label, COUNT(*) AS support\n FROM \"n15\"\n GROUP BY \"AWAOREG\"\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: n15\\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_n15_ee133c917cad01da\\n-- problem_id: v2p_n15_8fe71f5e9c347fa9\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"AWAOREG\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"n15\\\"\\n GROUP BY \\\"AWAOREG\\\"\\n), ranked AS (\\n SELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\\n FROM grouped\\n)\\nSELECT *\\nFROM ranked\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"cumulative_support\"], \"rows\": [{\"value_label\": \"0\", \"support\": 9784, \"support_share\": 0.9961311341885563, \"cumulative_support\": 9784}, {\"value_label\": \"1\", \"support\": 34, \"support_share\": 0.0034616167786601505, \"cumulative_support\": 9818}, {\"value_label\": \"2\", \"support\": 4, \"support_share\": 0.00040724903278354713, \"cumulative_support\": 9822}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 5.61}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_ee133c917cad01da/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_ee133c917cad01da/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..793f2717ae671eab65794355b23d682babaa2f7c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_ee133c917cad01da/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "n15", + "started_at": "2026-05-19T16:14:24.876540+00:00", + "ended_at": "2026-05-19T16:14:24.883170+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n15_ee133c917cad01da", + "problem_id": "v2p_n15_8fe71f5e9c347fa9", + "dataset_id": "n15", + "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=AWAOREG.", + "bindings": { + "group_col": "AWAOREG" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=12", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 12, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_ee133c917cad01da.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/n15/artifacts/v2q_n15_ee133c917cad01da/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_ee133c917cad01da/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_ee133c917cad01da/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/n15/artifacts/v2q_n15_f95f78431362074f/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_f95f78431362074f/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..a152f563d4c6a6e76bbaadce40a85720523f8aa9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_f95f78431362074f/run_manifest.json @@ -0,0 +1,72 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "n15", + "started_at": "2026-05-19T16:09:00.541716+00:00", + "ended_at": "2026-05-19T16:09:07.546444+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n15_f95f78431362074f", + "problem_id": "v2p_n15_0e477ebdff31829f", + "dataset_id": "n15", + "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=MBERHOOG, condition_col=MINK123M.", + "bindings": { + "group_col": "MBERHOOG", + "condition_col": "MINK123M", + "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": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=9", + "sql_variant_index=2/2", + "binding_index=104" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 9, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "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/n15/artifacts/v2q_n15_f95f78431362074f/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_f95f78431362074f/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c09b075b8499712c42133b35f7609869f89e6471 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_f95f78431362074f/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:09:03.772716+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": 3226.16, "started_at": "2026-05-19T16:09:00.545680+00:00", "ended_at": "2026-05-19T16:09:03.771872+00:00", "prompt_metrics": {"chars": 33331, "bytes_utf8": 33331, "lines": 1131, "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-687a-7312-8a3c-4ca1f3bb8d05\"}\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": "2026-05-19T16:09:07.546349+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": 2770.06, "started_at": "2026-05-19T16:09:04.775442+00:00", "ended_at": "2026-05-19T16:09:07.545546+00:00", "prompt_metrics": {"chars": 33331, "bytes_utf8": 33331, "lines": 1131, "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-7910-7302-9885-71a9fd56141b\"}\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/n15/artifacts/v2q_n15_faeb4b25b5e01dd6/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_faeb4b25b5e01dd6/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..a64a15917182cad4c57086e4d4ac9d27975234dd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_faeb4b25b5e01dd6/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "n15", + "started_at": "2026-05-19T16:13:33.614559+00:00", + "ended_at": "2026-05-19T16:13:41.260707+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n15_faeb4b25b5e01dd6", + "problem_id": "v2p_n15_7e2bcb85df689fbe", + "dataset_id": "n15", + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=PTRACTOR, measure_col=MHHUUR.", + "bindings": { + "group_col": "PTRACTOR", + "measure_col": "MHHUUR", + "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": 2.64, + "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 DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=2/2", + "binding_index=137" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 6, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_faeb4b25b5e01dd6/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_faeb4b25b5e01dd6/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9aef694be432617e04a90cc84ee2ff5e5fa831db --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_faeb4b25b5e01dd6/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:13:36.886969+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3268.09, "started_at": "2026-05-19T16:13:33.618066+00:00", "ended_at": "2026-05-19T16:13:36.886187+00:00", "prompt_metrics": {"chars": 33167, "bytes_utf8": 33167, "lines": 1128, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e4103-933f-7221-987e-63361ad0405d\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:13:41.260616+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": 3370.13, "started_at": "2026-05-19T16:13:37.889614+00:00", "ended_at": "2026-05-19T16:13:41.259787+00:00", "prompt_metrics": {"chars": 33167, "bytes_utf8": 33167, "lines": 1128, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e4103-a3ee-7370-b6c1-2bda3a70f6bb\"}\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/n15/artifacts/v2q_n15_fb43419e131325dc/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_fb43419e131325dc/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..06f28a90eb8912ff5cd77f9583ea6a98a391b6d6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_fb43419e131325dc/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=MOPLHOOG, condition_col=MRELSA. +Result preview: [{"MOPLHOOG": "2", "condition_rate": 0.24778761061946902}, {"MOPLHOOG": "1", "condition_rate": 0.22840073529411764}, {"MOPLHOOG": "9", "condition_rate": 0.17647058823529413}, {"MOPLHOOG": "0", "condition_rate": 0.15575807787903895}, {"MOPLHOOG": "4", "condition_rate": 0.12998266897746968}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_fb43419e131325dc/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_fb43419e131325dc/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..a12f50143f976ff41f3f0264446ed4bedcfb74d9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_fb43419e131325dc/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: n15 +-- 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_n15_fb43419e131325dc +-- problem_id: v2p_n15_d81e2394503c9e9e +-- realization_mode: agent +-- source_kind: agent +SELECT "MOPLHOOG", + AVG(CASE WHEN "MRELSA" = '2' THEN 1.0 ELSE 0.0 END) AS condition_rate +FROM "n15" +GROUP BY "MOPLHOOG" +ORDER BY condition_rate DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_fb43419e131325dc/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_fb43419e131325dc/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b1b0bec3f9bedf1893181a9b0c9fcf7c9176f9f2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_fb43419e131325dc/query_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 \"MOPLHOOG\",\n AVG(CASE WHEN \"MRELSA\" = '2' THEN 1.0 ELSE 0.0 END) AS condition_rate\nFROM \"n15\"\nGROUP BY \"MOPLHOOG\"\nORDER BY condition_rate DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"MOPLHOOG\\\",\\n AVG(CASE WHEN \\\"MRELSA\\\" = '2' THEN 1.0 ELSE 0.0 END) AS condition_rate\\nFROM \\\"n15\\\"\\nGROUP BY \\\"MOPLHOOG\\\"\\nORDER BY condition_rate DESC;\", \"columns\": [\"MOPLHOOG\", \"condition_rate\"], \"rows\": [{\"MOPLHOOG\": \"2\", \"condition_rate\": 0.24778761061946902}, {\"MOPLHOOG\": \"1\", \"condition_rate\": 0.22840073529411764}, {\"MOPLHOOG\": \"9\", \"condition_rate\": 0.17647058823529413}, {\"MOPLHOOG\": \"0\", \"condition_rate\": 0.15575807787903895}, {\"MOPLHOOG\": \"4\", \"condition_rate\": 0.12998266897746968}, {\"MOPLHOOG\": \"3\", \"condition_rate\": 0.12405609492988134}, {\"MOPLHOOG\": \"5\", \"condition_rate\": 0.11538461538461539}, {\"MOPLHOOG\": \"6\", \"condition_rate\": 0.11382113821138211}, {\"MOPLHOOG\": \"8\", \"condition_rate\": 0.07692307692307693}, {\"MOPLHOOG\": \"7\", \"condition_rate\": 0.04819277108433735}], \"row_count_returned\": 10, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 5.6}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_fb43419e131325dc/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_fb43419e131325dc/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..5a0d7ae5467cf3e88d919c72346a133d72c40b76 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_fb43419e131325dc/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "n15", + "started_at": "2026-05-19T16:07:58.334494+00:00", + "ended_at": "2026-05-19T16:08:06.643818+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n15_fb43419e131325dc", + "problem_id": "v2p_n15_d81e2394503c9e9e", + "dataset_id": "n15", + "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=MOPLHOOG, condition_col=MRELSA.", + "bindings": { + "group_col": "MOPLHOOG", + "condition_col": "MRELSA", + "condition_value": "2", + "positive_value": "1", + "negative_value": "2", + "top_k": 16, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 5.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "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/n15/sql/v2q_n15_fb43419e131325dc.sql", + "usage_summary": { + "dataset_id": "n15", + "model": "v2-cli:codex", + "run_id": "v2q_n15_fb43419e131325dc", + "api_calls": 0, + "input_tokens": 23074, + "cached_input_tokens": 12032, + "output_tokens": 340, + "total_tokens": 23414, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8297.54, + "sql_execution_elapsed_ms_total": 5.6, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_fb43419e131325dc/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_fb43419e131325dc/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_fb43419e131325dc/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7e8502bcac177b7d51dcf7d4c806eebf138d6324 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_fb43419e131325dc/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:08:06.636124+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 8297.54, "started_at": "2026-05-19T16:07:58.337692+00:00", "ended_at": "2026-05-19T16:08:06.635259+00:00", "prompt_metrics": {"chars": 33323, "bytes_utf8": 33323, "lines": 1131, "estimated_tokens": null}, "response_metrics": {"chars": 410, "bytes_utf8": 410, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 23074, "cached_input_tokens": 12032, "output_tokens": 340, "reasoning_output_tokens": 208}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"MOPLHOOG\\\",\\n AVG(CASE WHEN \\\"MRELSA\\\" = '2' THEN 1.0 ELSE 0.0 END) AS condition_rate\\nFROM \\\"n15\\\"\\nGROUP BY \\\"MOPLHOOG\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Uses the planned Grouped Condition Rate template with group_col=\\\"MOPLHOOG\\\" and condition_col=\\\"MRELSA\\\", computing the within-group proportion of rows where \\\"MRELSA\\\" = '2'.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_fb43419e131325dc/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_fb43419e131325dc/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..1eff0627612372a4aef31ce6405f63534d3efc22 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_fb43419e131325dc/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n15", + "model": "v2-cli:codex", + "run_id": "v2q_n15_fb43419e131325dc", + "api_calls": 0, + "input_tokens": 23074, + "cached_input_tokens": 12032, + "output_tokens": 340, + "total_tokens": 23414, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8297.54, + "sql_execution_elapsed_ms_total": 5.6, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_fb43419e131325dc/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_fc11624c9a152161/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_fc11624c9a152161/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..4a0c86bb7f68db9c8cea153a8284e7a8222d8396 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_fc11624c9a152161/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=MOSTYPE, group_col_2=PTRACTOR. +Result preview: [{"MOSTYPE": "33", "PTRACTOR": "0", "row_count": 1336}, {"MOSTYPE": "38", "PTRACTOR": "0", "row_count": 552}, {"MOSTYPE": "8", "PTRACTOR": "0", "row_count": 532}, {"MOSTYPE": "39", "PTRACTOR": "0", "row_count": 524}, {"MOSTYPE": "9", "PTRACTOR": "0", "row_count": 453}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_fc11624c9a152161/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_fc11624c9a152161/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..d41f59a90bc29528b7f51bc198d93d626ccc5eaf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_fc11624c9a152161/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: n15 +-- 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_n15_fc11624c9a152161 +-- problem_id: v2p_n15_1bf9d0e5123a67e7 +-- realization_mode: agent +-- source_kind: agent +SELECT + "MOSTYPE", + "PTRACTOR", + COUNT(*) AS "row_count" +FROM "n15" +WHERE "PAANHANG" = '0' +GROUP BY "MOSTYPE", "PTRACTOR" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_fc11624c9a152161/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_fc11624c9a152161/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d08b1269e10df636774031f4345890598ed71ec4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_fc11624c9a152161/query_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 \"MOSTYPE\",\n \"PTRACTOR\",\n COUNT(*) AS \"row_count\"\nFROM \"n15\"\nWHERE \"PAANHANG\" = '0'\nGROUP BY \"MOSTYPE\", \"PTRACTOR\"\nORDER BY \"row_count\" DESC;", "result": "{\"query\": \"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT\\n \\\"MOSTYPE\\\",\\n \\\"PTRACTOR\\\",\\n COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"n15\\\"\\nWHERE \\\"PAANHANG\\\" = '0'\\nGROUP BY \\\"MOSTYPE\\\", \\\"PTRACTOR\\\"\\nORDER BY \\\"row_count\\\" DESC;\", \"columns\": [\"MOSTYPE\", \"PTRACTOR\", \"row_count\"], \"rows\": [{\"MOSTYPE\": \"33\", \"PTRACTOR\": \"0\", \"row_count\": 1336}, {\"MOSTYPE\": \"38\", \"PTRACTOR\": \"0\", \"row_count\": 552}, {\"MOSTYPE\": \"8\", \"PTRACTOR\": \"0\", \"row_count\": 532}, {\"MOSTYPE\": \"39\", \"PTRACTOR\": \"0\", \"row_count\": 524}, {\"MOSTYPE\": \"9\", \"PTRACTOR\": \"0\", \"row_count\": 453}, {\"MOSTYPE\": \"3\", \"PTRACTOR\": \"0\", \"row_count\": 416}, {\"MOSTYPE\": \"23\", \"PTRACTOR\": \"0\", \"row_count\": 373}, {\"MOSTYPE\": \"36\", \"PTRACTOR\": \"0\", \"row_count\": 360}, {\"MOSTYPE\": \"35\", \"PTRACTOR\": \"0\", \"row_count\": 350}, {\"MOSTYPE\": \"24\", \"PTRACTOR\": \"0\", \"row_count\": 323}, {\"MOSTYPE\": \"34\", \"PTRACTOR\": \"0\", \"row_count\": 318}, {\"MOSTYPE\": \"31\", \"PTRACTOR\": \"0\", \"row_count\": 305}, {\"MOSTYPE\": \"13\", \"PTRACTOR\": \"0\", \"row_count\": 297}, {\"MOSTYPE\": \"41\", \"PTRACTOR\": \"0\", \"row_count\": 282}, {\"MOSTYPE\": \"11\", \"PTRACTOR\": \"0\", \"row_count\": 275}, {\"MOSTYPE\": \"10\", \"PTRACTOR\": \"0\", \"row_count\": 268}, {\"MOSTYPE\": \"37\", \"PTRACTOR\": \"0\", \"row_count\": 232}, {\"MOSTYPE\": \"32\", \"PTRACTOR\": \"0\", \"row_count\": 230}, {\"MOSTYPE\": \"1\", \"PTRACTOR\": \"0\", \"row_count\": 216}, {\"MOSTYPE\": \"6\", \"PTRACTOR\": \"0\", \"row_count\": 206}, {\"MOSTYPE\": \"12\", \"PTRACTOR\": \"0\", \"row_count\": 191}, {\"MOSTYPE\": \"30\", \"PTRACTOR\": \"0\", \"row_count\": 188}, {\"MOSTYPE\": \"22\", \"PTRACTOR\": \"0\", \"row_count\": 167}, {\"MOSTYPE\": \"2\", \"PTRACTOR\": \"0\", \"row_count\": 143}, {\"MOSTYPE\": \"29\", \"PTRACTOR\": \"0\", \"row_count\": 137}, {\"MOSTYPE\": \"25\", \"PTRACTOR\": \"0\", \"row_count\": 129}, {\"MOSTYPE\": \"40\", \"PTRACTOR\": \"0\", \"row_count\": 113}, {\"MOSTYPE\": \"4\", \"PTRACTOR\": \"0\", \"row_count\": 89}, {\"MOSTYPE\": \"26\", \"PTRACTOR\": \"0\", \"row_count\": 79}, {\"MOSTYPE\": \"27\", \"PTRACTOR\": \"0\", \"row_count\": 77}, {\"MOSTYPE\": \"7\", \"PTRACTOR\": \"0\", \"row_count\": 71}, {\"MOSTYPE\": \"5\", \"PTRACTOR\": \"0\", \"row_count\": 68}, {\"MOSTYPE\": \"20\", \"PTRACTOR\": \"0\", \"row_count\": 41}, {\"MOSTYPE\": \"28\", \"PTRACTOR\": \"0\", \"row_count\": 41}, {\"MOSTYPE\": \"33\", \"PTRACTOR\": \"3\", \"row_count\": 32}, {\"MOSTYPE\": \"21\", \"PTRACTOR\": \"0\", \"row_count\": 29}, {\"MOSTYPE\": \"41\", \"PTRACTOR\": \"3\", \"row_count\": 29}, {\"MOSTYPE\": \"18\", \"PTRACTOR\": \"0\", \"row_count\": 27}, {\"MOSTYPE\": \"16\", \"PTRACTOR\": \"0\", \"row_count\": 25}, {\"MOSTYPE\": \"41\", \"PTRACTOR\": \"5\", \"row_count\": 15}, {\"MOSTYPE\": \"17\", \"PTRACTOR\": \"0\", \"row_count\": 11}, {\"MOSTYPE\": \"41\", \"PTRACTOR\": \"4\", \"row_count\": 11}, {\"MOSTYPE\": \"33\", \"PTRACTOR\": \"4\", \"row_count\": 9}, {\"MOSTYPE\": \"36\", \"PTRACTOR\": \"3\", \"row_count\": 9}, {\"MOSTYPE\": \"40\", \"PTRACTOR\": \"3\", \"row_count\": 9}, {\"MOSTYPE\": \"41\", \"PTRACTOR\": \"6\", \"row_count\": 9}, {\"MOSTYPE\": \"3\", \"PTRACTOR\": \"3\", \"row_count\": 8}, {\"MOSTYPE\": \"15\", \"PTRACTOR\": \"0\", \"row_count\": 7}, {\"MOSTYPE\": \"19\", \"PTRACTOR\": \"0\", \"row_count\": 7}, {\"MOSTYPE\": \"38\", \"PTRACTOR\": \"3\", \"row_count\": 7}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 7.14}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_fc11624c9a152161/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_fc11624c9a152161/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..00f33b07f3b0e8990af77e470a8036b8d8430914 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_fc11624c9a152161/run_manifest.json @@ -0,0 +1,93 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "n15", + "started_at": "2026-05-19T15:45:05.187614+00:00", + "ended_at": "2026-05-19T15:45:14.687164+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n15_fc11624c9a152161", + "problem_id": "v2p_n15_1bf9d0e5123a67e7", + "dataset_id": "n15", + "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=MOSTYPE, group_col_2=PTRACTOR.", + "bindings": { + "group_col": "MOSTYPE", + "group_col_2": "PTRACTOR", + "predicate_col": "PAANHANG", + "predicate_op": "=", + "predicate_value": "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": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=rule", + "problem_index_within_template=3", + "sql_variant_index=1/1", + "binding_index=50" + ], + "template_selection_mode": "rule", + "selected_template_rank": 5, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_fc11624c9a152161.sql", + "usage_summary": { + "dataset_id": "n15", + "model": "v2-cli:codex", + "run_id": "v2q_n15_fc11624c9a152161", + "api_calls": 0, + "input_tokens": 23099, + "cached_input_tokens": 21888, + "output_tokens": 395, + "total_tokens": 23494, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9483.54, + "sql_execution_elapsed_ms_total": 7.14, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_fc11624c9a152161/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_fc11624c9a152161/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_fc11624c9a152161/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..de40b867d6f89915e617263e5f3746326e4e1377 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_fc11624c9a152161/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:45:14.678207+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 9483.54, "started_at": "2026-05-19T15:45:05.193808+00:00", "ended_at": "2026-05-19T15:45:14.677392+00:00", "prompt_metrics": {"chars": 33391, "bytes_utf8": 33391, "lines": 1132, "estimated_tokens": null}, "response_metrics": {"chars": 469, "bytes_utf8": 469, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 23099, "cached_input_tokens": 21888, "output_tokens": 395, "reasoning_output_tokens": 260}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT\\n \\\"MOSTYPE\\\",\\n \\\"PTRACTOR\\\",\\n COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"n15\\\"\\nWHERE \\\"PAANHANG\\\" = '0'\\nGROUP BY \\\"MOSTYPE\\\", \\\"PTRACTOR\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Uses the planned filtered two-dimensional group count template with group columns MOSTYPE and PTRACTOR, filtered to rows where PAANHANG = '0'. Text literal quoting is used because the SQLite schema stores these fields as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_fc11624c9a152161/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_fc11624c9a152161/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..6f1fa7bbfb3e7ebebfda5be7a8a5fd2e853279ea --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_fc11624c9a152161/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n15", + "model": "v2-cli:codex", + "run_id": "v2q_n15_fc11624c9a152161", + "api_calls": 0, + "input_tokens": 23099, + "cached_input_tokens": 21888, + "output_tokens": 395, + "total_tokens": 23494, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9483.54, + "sql_execution_elapsed_ms_total": 7.14, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_fc11624c9a152161/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_fdb6620e83182e7a/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_fdb6620e83182e7a/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..8b360b44d0eef18b19729bc1275d5c7bb6c41d96 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_fdb6620e83182e7a/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=CARAVAN, measure_col=MAUT1. +Result preview: [{"CARAVAN": "0", "percentile_measure": 9.0}, {"CARAVAN": "1", "percentile_measure": 9.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_fdb6620e83182e7a/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_fdb6620e83182e7a/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..c172260a695e78a1df51b5e36a3a1c4d75dfb77d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_fdb6620e83182e7a/generated_sql.sql @@ -0,0 +1,60 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: n15 +-- 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_n15_fdb6620e83182e7a +-- problem_id: v2p_n15_c71aca97475a259a +-- realization_mode: agent +-- source_kind: agent +WITH "ordered" AS ( + SELECT + "CARAVAN", + CAST("MAUT1" AS REAL) AS "measure_value", + ROW_NUMBER() OVER ( + PARTITION BY "CARAVAN" + ORDER BY CAST("MAUT1" AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "CARAVAN" + ) AS "cnt" + FROM "n15" + WHERE "CARAVAN" IS NOT NULL + AND "MAUT1" IS NOT NULL +), +"positions" AS ( + SELECT + "CARAVAN", + (1.0 + 0.95 * ("cnt" - 1)) AS "target_pos", + CAST(FLOOR(1.0 + 0.95 * ("cnt" - 1)) AS INTEGER) AS "lower_rn", + CAST(CEIL(1.0 + 0.95 * ("cnt" - 1)) AS INTEGER) AS "upper_rn", + "cnt" + FROM "ordered" + GROUP BY "CARAVAN", "cnt" +), +"picked" AS ( + SELECT + o."CARAVAN", + p."target_pos", + p."lower_rn", + p."upper_rn", + MAX(CASE WHEN o."rn" = p."lower_rn" THEN o."measure_value" END) AS "lower_value", + MAX(CASE WHEN o."rn" = p."upper_rn" THEN o."measure_value" END) AS "upper_value" + FROM "ordered" AS o + JOIN "positions" AS p + ON o."CARAVAN" = p."CARAVAN" + WHERE o."rn" IN (p."lower_rn", p."upper_rn") + GROUP BY o."CARAVAN", p."target_pos", p."lower_rn", p."upper_rn" +) +SELECT + "CARAVAN", + CASE + WHEN "lower_rn" = "upper_rn" THEN "lower_value" + ELSE "lower_value" + (("target_pos" - "lower_rn") * ("upper_value" - "lower_value")) + END AS "percentile_measure" +FROM "picked" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_fdb6620e83182e7a/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_fdb6620e83182e7a/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..21080124c081f93d92ea846d7e1ae894c7dd3c85 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_fdb6620e83182e7a/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 \"CARAVAN\",\n CAST(\"MAUT1\" AS REAL) AS \"measure_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"CARAVAN\"\n ORDER BY CAST(\"MAUT1\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"CARAVAN\"\n ) AS \"cnt\"\n FROM \"n15\"\n WHERE \"CARAVAN\" IS NOT NULL\n AND \"MAUT1\" IS NOT NULL\n),\n\"positions\" AS (\n SELECT\n \"CARAVAN\",\n (1.0 + 0.95 * (\"cnt\" - 1)) AS \"target_pos\",\n CAST(FLOOR(1.0 + 0.95 * (\"cnt\" - 1)) AS INTEGER) AS \"lower_rn\",\n CAST(CEIL(1.0 + 0.95 * (\"cnt\" - 1)) AS INTEGER) AS \"upper_rn\",\n \"cnt\"\n FROM \"ordered\"\n GROUP BY \"CARAVAN\", \"cnt\"\n),\n\"picked\" AS (\n SELECT\n o.\"CARAVAN\",\n p.\"target_pos\",\n p.\"lower_rn\",\n p.\"upper_rn\",\n MAX(CASE WHEN o.\"rn\" = p.\"lower_rn\" THEN o.\"measure_value\" END) AS \"lower_value\",\n MAX(CASE WHEN o.\"rn\" = p.\"upper_rn\" THEN o.\"measure_value\" END) AS \"upper_value\"\n FROM \"ordered\" AS o\n JOIN \"positions\" AS p\n ON o.\"CARAVAN\" = p.\"CARAVAN\"\n WHERE o.\"rn\" IN (p.\"lower_rn\", p.\"upper_rn\")\n GROUP BY o.\"CARAVAN\", p.\"target_pos\", p.\"lower_rn\", p.\"upper_rn\"\n)\nSELECT\n \"CARAVAN\",\n CASE\n WHEN \"lower_rn\" = \"upper_rn\" THEN \"lower_value\"\n ELSE \"lower_value\" + ((\"target_pos\" - \"lower_rn\") * (\"upper_value\" - \"lower_value\"))\n END AS \"percentile_measure\"\nFROM \"picked\"\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n SELECT\\n \\\"CARAVAN\\\",\\n CAST(\\\"MAUT1\\\" AS REAL) AS \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"CARAVAN\\\"\\n ORDER BY CAST(\\\"MAUT1\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"CARAVAN\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"n15\\\"\\n WHERE \\\"CARAVAN\\\" IS NOT NULL\\n AND \\\"MAUT1\\\" IS NOT NULL\\n),\\n\\\"positions\\\" AS (\\n SELECT\\n \\\"CARAVAN\\\",\\n (1.0 + 0.95 * (\\\"cnt\\\" - 1)) AS \\\"target_pos\\\",\\n CAST(FLOOR(1.0 + 0.95 * (\\\"cnt\\\" - 1)) AS INTEGER) AS \\\"lower_rn\\\",\\n CAST(CEIL(1.0 + 0.95 * (\\\"cnt\\\" - 1)) AS INTEGER) AS \\\"upper_rn\\\",\\n \\\"cnt\\\"\\n FROM \\\"ordered\\\"\\n GROUP BY \\\"CARAVAN\\\", \\\"cnt\\\"\\n),\\n\\\"picked\\\" AS (\\n SELECT\\n o.\\\"CARAVAN\\\",\\n p.\\\"target_pos\\\",\\n p.\\\"lower_rn\\\",\\n p.\\\"upper_rn\\\",\\n MAX(CASE WHEN o.\\\"rn\\\" = p.\\\"lower_rn\\\" THEN o.\\\"measure_value\\\" END) AS \\\"lower_value\\\",\\n MAX(CASE WHEN o.\\\"rn\\\" = p.\\\"upper_rn\\\" THEN o.\\\"measure_value\\\" END) AS \\\"upper_value\\\"\\n FROM \\\"ordered\\\" AS o\\n JOIN \\\"positions\\\" AS p\\n ON o.\\\"CARAVAN\\\" = p.\\\"CARAVAN\\\"\\n WHERE o.\\\"rn\\\" IN (p.\\\"lower_rn\\\", p.\\\"upper_rn\\\")\\n GROUP BY o.\\\"CARAVAN\\\", p.\\\"target_pos\\\", p.\\\"lower_rn\\\", p.\\\"upper_rn\\\"\\n)\\nSELECT\\n \\\"CARAVAN\\\",\\n CASE\\n WHEN \\\"lower_rn\\\" = \\\"upper_rn\\\" THEN \\\"lower_value\\\"\\n ELSE \\\"lower_value\\\" + ((\\\"target_pos\\\" - \\\"lower_rn\\\") * (\\\"upper_value\\\" - \\\"lower_value\\\"))\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"picked\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"CARAVAN\", \"percentile_measure\"], \"rows\": [{\"CARAVAN\": \"0\", \"percentile_measure\": 9.0}, {\"CARAVAN\": \"1\", \"percentile_measure\": 9.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 54.88}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_fdb6620e83182e7a/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_fdb6620e83182e7a/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..5d72dcf6d865b57363863b558857086d6a346ec2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_fdb6620e83182e7a/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "n15", + "started_at": "2026-05-19T15:56:31.734604+00:00", + "ended_at": "2026-05-19T15:56:55.209046+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n15_fdb6620e83182e7a", + "problem_id": "v2p_n15_c71aca97475a259a", + "dataset_id": "n15", + "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=CARAVAN, measure_col=MAUT1.", + "bindings": { + "group_col": "CARAVAN", + "measure_col": "MAUT1", + "top_k": 15, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 7.64, + "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=2", + "sql_variant_index=2/2", + "binding_index=85" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 2, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_fdb6620e83182e7a.sql", + "usage_summary": { + "dataset_id": "n15", + "model": "v2-cli:codex", + "run_id": "v2q_n15_fdb6620e83182e7a", + "api_calls": 0, + "input_tokens": 23046, + "cached_input_tokens": 21888, + "output_tokens": 1111, + "total_tokens": 24157, + "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": 22408.9, + "sql_execution_elapsed_ms_total": 54.88, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_fdb6620e83182e7a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_fdb6620e83182e7a/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_fdb6620e83182e7a/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..99b68701f8b85539c265ea6c3699666a3a055a07 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_fdb6620e83182e7a/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:56:35.213676+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": 3473.62, "started_at": "2026-05-19T15:56:31.738856+00:00", "ended_at": "2026-05-19T15:56:35.212499+00:00", "prompt_metrics": {"chars": 33258, "bytes_utf8": 33258, "lines": 1128, "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-fb84-7301-ab1b-699821adf3c4\"}\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": "2026-05-19T15:56:55.151594+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": 18935.28, "started_at": "2026-05-19T15:56:36.215139+00:00", "ended_at": "2026-05-19T15:56:55.150449+00:00", "prompt_metrics": {"chars": 33258, "bytes_utf8": 33258, "lines": 1128, "estimated_tokens": null}, "response_metrics": {"chars": 1739, "bytes_utf8": 1739, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 23046, "cached_input_tokens": 21888, "output_tokens": 1111, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n SELECT\\n \\\"CARAVAN\\\",\\n CAST(\\\"MAUT1\\\" AS REAL) AS \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"CARAVAN\\\"\\n ORDER BY CAST(\\\"MAUT1\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"CARAVAN\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"n15\\\"\\n WHERE \\\"CARAVAN\\\" IS NOT NULL\\n AND \\\"MAUT1\\\" IS NOT NULL\\n),\\n\\\"positions\\\" AS (\\n SELECT\\n \\\"CARAVAN\\\",\\n (1.0 + 0.95 * (\\\"cnt\\\" - 1)) AS \\\"target_pos\\\",\\n CAST(FLOOR(1.0 + 0.95 * (\\\"cnt\\\" - 1)) AS INTEGER) AS \\\"lower_rn\\\",\\n CAST(CEIL(1.0 + 0.95 * (\\\"cnt\\\" - 1)) AS INTEGER) AS \\\"upper_rn\\\",\\n \\\"cnt\\\"\\n FROM \\\"ordered\\\"\\n GROUP BY \\\"CARAVAN\\\", \\\"cnt\\\"\\n),\\n\\\"picked\\\" AS (\\n SELECT\\n o.\\\"CARAVAN\\\",\\n p.\\\"target_pos\\\",\\n p.\\\"lower_rn\\\",\\n p.\\\"upper_rn\\\",\\n MAX(CASE WHEN o.\\\"rn\\\" = p.\\\"lower_rn\\\" THEN o.\\\"measure_value\\\" END) AS \\\"lower_value\\\",\\n MAX(CASE WHEN o.\\\"rn\\\" = p.\\\"upper_rn\\\" THEN o."} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_fdb6620e83182e7a/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_fdb6620e83182e7a/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..68be4b56452a78337ff09a28f5b95bd5582ff667 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_fdb6620e83182e7a/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n15", + "model": "v2-cli:codex", + "run_id": "v2q_n15_fdb6620e83182e7a", + "api_calls": 0, + "input_tokens": 23046, + "cached_input_tokens": 21888, + "output_tokens": 1111, + "total_tokens": 24157, + "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": 22408.9, + "sql_execution_elapsed_ms_total": 54.88, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/n15/artifacts/v2q_n15_fdb6620e83182e7a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_054d762b56fc12de.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_054d762b56fc12de.sql new file mode 100644 index 0000000000000000000000000000000000000000..2ab741a888dc6fc789fb029c8a0901106b32810c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_054d762b56fc12de.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: n15 +-- 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_n15_054d762b56fc12de +-- problem_id: v2p_n15_34207b90203c7b44 +-- realization_mode: agent +-- source_kind: agent +SELECT "MFALLEEN", COUNT(*) AS row_count +FROM "n15" +GROUP BY "MFALLEEN" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_0863509a7e30be1f.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_0863509a7e30be1f.sql new file mode 100644 index 0000000000000000000000000000000000000000..5bc6969868978349256518367747796b9303d343 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_0863509a7e30be1f.sql @@ -0,0 +1,31 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: n15 +-- 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_n15_0863509a7e30be1f +-- problem_id: v2p_n15_069022e097afda05 +-- realization_mode: agent +-- source_kind: agent +WITH "grouped" AS ( + SELECT + "AWERKT", + SUM(CAST("MBERZELF" AS REAL)) AS "group_value" + FROM "n15" + GROUP BY "AWERKT" +), +"total" AS ( + SELECT SUM("group_value") AS "total_value" + FROM "grouped" +) +SELECT + g."AWERKT", + 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/n15/sql/v2q_n15_08e5a60396cbc3d1.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_08e5a60396cbc3d1.sql new file mode 100644 index 0000000000000000000000000000000000000000..f4abd6da46d5c38237fdcdbb30858573a82c2278 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_08e5a60396cbc3d1.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: n15 +-- 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_n15_08e5a60396cbc3d1 +-- problem_id: v2p_n15_784d2e016a4a046b +-- realization_mode: agent +-- source_kind: agent +SELECT "MOSTYPE", "PVRAAUT", COUNT(*) AS row_count +FROM "n15" +WHERE CAST("PMOTSCO" AS REAL) >= 5.0 +GROUP BY "MOSTYPE", "PVRAAUT" +ORDER BY row_count DESC +LIMIT 13; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_096d543fdafd9a01.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_096d543fdafd9a01.sql new file mode 100644 index 0000000000000000000000000000000000000000..39a71e6ad96dc30a3c7b4a4c250aebdf77db8f92 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_096d543fdafd9a01.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: n15 +-- 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_n15_096d543fdafd9a01 +-- problem_id: v2p_n15_91811b466aafdb1a +-- realization_mode: agent +-- source_kind: agent +SELECT "MZFONDS", "MOSTYPE", + SUM(CAST("MZFONDS" AS REAL)) AS total_measure, + SUM(CAST("MZFONDS" AS REAL)) * 100.0 / SUM(SUM(CAST("MZFONDS" AS REAL))) OVER (PARTITION BY "MZFONDS") AS share_within_group +FROM "n15" +GROUP BY "MZFONDS", "MOSTYPE" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_09d85e0072607f12.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_09d85e0072607f12.sql new file mode 100644 index 0000000000000000000000000000000000000000..5e1fa7bbd53ce9259d30d13e199317f51069adf6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_09d85e0072607f12.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: n15 +-- 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_n15_09d85e0072607f12 +-- problem_id: v2p_n15_85dfb4c289a861bd +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "MGODOV", + CAST("MINK7512" AS REAL) AS "measure_value", + ROW_NUMBER() OVER ( + PARTITION BY "MGODOV" + ORDER BY CAST("MINK7512" AS REAL) + ) AS "rn", + COUNT(*) OVER (PARTITION BY "MGODOV") AS "cnt" + FROM "n15" + WHERE "MGODOV" IS NOT NULL + AND "MINK7512" IS NOT NULL +), +"scored" AS ( + SELECT + "MGODOV", + "measure_value", + "rn", + "cnt", + (("cnt" - 1) * 0.95) + 1.0 AS "pos", + CAST(((("cnt" - 1) * 0.95) + 1.0) AS INTEGER) AS "lower_rn", + CASE + WHEN ((("cnt" - 1) * 0.95) + 1.0) = CAST(((("cnt" - 1) * 0.95) + 1.0) AS INTEGER) + THEN CAST(((("cnt" - 1) * 0.95) + 1.0) AS INTEGER) + ELSE CAST(((("cnt" - 1) * 0.95) + 1.0) AS INTEGER) + 1 + END AS "upper_rn" + FROM "ranked" +), +"percentile_bounds" AS ( + SELECT + "MGODOV", + MAX("cnt") AS "group_size", + MAX("pos") AS "pos", + MAX("lower_rn") AS "lower_rn", + MAX("upper_rn") AS "upper_rn", + MAX(CASE WHEN "rn" = "lower_rn" THEN "measure_value" END) AS "lower_value", + MAX(CASE WHEN "rn" = "upper_rn" THEN "measure_value" END) AS "upper_value" + FROM "scored" + GROUP BY "MGODOV" +) +SELECT + "MGODOV", + CASE + WHEN "lower_rn" = "upper_rn" THEN "lower_value" + ELSE "lower_value" + (("pos" - "lower_rn") * ("upper_value" - "lower_value")) + END AS "percentile_measure" +FROM "percentile_bounds" +WHERE "group_size" >= 5 +ORDER BY "percentile_measure" DESC, "MGODOV"; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_0a6e3f071a0577a2.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_0a6e3f071a0577a2.sql new file mode 100644 index 0000000000000000000000000000000000000000..e96ef3e0b98d2e383af40d09d803f655de15cbcb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_0a6e3f071a0577a2.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: n15 +-- 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_n15_0a6e3f071a0577a2 +-- problem_id: v2p_n15_a7056bd175ab0aac +-- realization_mode: agent +-- source_kind: agent +WITH "buckets" AS ( + SELECT + CAST("MRELSA" AS INTEGER) AS "MRELSA", + NTILE(10) OVER (ORDER BY CAST("MRELSA" AS INTEGER) DESC) AS "tail_bucket" + FROM "n15" + WHERE "MRELSA" IS NOT NULL +) +SELECT "MRELSA" +FROM "buckets" +WHERE "tail_bucket" = 1 +ORDER BY "MRELSA" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_0b5e53ef206a67da.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_0b5e53ef206a67da.sql new file mode 100644 index 0000000000000000000000000000000000000000..20d79b1dd4c2e3c4e4f7957a9bd520df4cc61fa9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_0b5e53ef206a67da.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: n15 +-- 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_n15_0b5e53ef206a67da +-- problem_id: v2p_n15_57aac794b6ec9934 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "MINK7512", + SUM(CASE WHEN "APERSONG" = '0' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "APERSONG" = '1' THEN 1 ELSE 0 END) AS denominator_count + FROM "n15" + GROUP BY "MINK7512" +) +SELECT "MINK7512", + 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/n15/sql/v2q_n15_0b671524128783f7.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_0b671524128783f7.sql new file mode 100644 index 0000000000000000000000000000000000000000..65a51c8682d5ebc14f958ff64398f452fccf2118 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_0b671524128783f7.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: n15 +-- 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_n15_0b671524128783f7 +-- problem_id: v2p_n15_12c533d6af60b5b7 +-- realization_mode: agent +-- source_kind: agent +SELECT "MGODRK", SUM(CAST("MGODRK" AS NUMERIC)) AS total_measure +FROM "n15" +GROUP BY "MGODRK" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_0c01c4ff48bac60e.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_0c01c4ff48bac60e.sql new file mode 100644 index 0000000000000000000000000000000000000000..b28c56b1aefedd053a452d73e8f21d7b6bd7d828 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_0c01c4ff48bac60e.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: n15 +-- 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_n15_0c01c4ff48bac60e +-- problem_id: v2p_n15_19ac53fe4dec0b01 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "MFWEKIND" AS value_label, COUNT(*) AS support + FROM "n15" + GROUP BY "MFWEKIND" +) +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/n15/sql/v2q_n15_0d6651c78999428c.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_0d6651c78999428c.sql new file mode 100644 index 0000000000000000000000000000000000000000..3680b58e9dfde99397bdc3347b3d982c2998ffab --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_0d6651c78999428c.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: n15 +-- 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_n15_0d6651c78999428c +-- problem_id: v2p_n15_fa911e43d638908d +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "AWAPART" AS value_label, COUNT(*) AS support + FROM "n15" + GROUP BY "AWAPART" +), 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/n15/sql/v2q_n15_0e99b22ac2d0168f.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_0e99b22ac2d0168f.sql new file mode 100644 index 0000000000000000000000000000000000000000..8f7cd494e09953de912242102232739f4170ed67 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_0e99b22ac2d0168f.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: n15 +-- 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_n15_0e99b22ac2d0168f +-- problem_id: v2p_n15_c3d10544632709a8 +-- realization_mode: agent +-- source_kind: agent +WITH "grouped" AS ( + SELECT + "MAUT2", + "MOSTYPE", + SUM(CAST("MAUT2" AS REAL)) AS "total_measure" + FROM "n15" + GROUP BY "MAUT2", "MOSTYPE" +) +SELECT + "MAUT2", + "MOSTYPE", + "total_measure", + CASE + WHEN SUM("total_measure") OVER (PARTITION BY "MAUT2") = 0 THEN NULL + ELSE "total_measure" * 100.0 / SUM("total_measure") OVER (PARTITION BY "MAUT2") + END AS "share_within_group" +FROM "grouped" +ORDER BY "share_within_group" DESC, "MAUT2", "MOSTYPE" +LIMIT 12; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_10dd5b89b4c07b73.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_10dd5b89b4c07b73.sql new file mode 100644 index 0000000000000000000000000000000000000000..d089727ee6565b3e1f70a3854b5b823fbc527a14 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_10dd5b89b4c07b73.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: n15 +-- 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_n15_10dd5b89b4c07b73 +-- problem_id: v2p_n15_7ca551fe83cc27e0 +-- realization_mode: agent +-- source_kind: agent +SELECT "MOPLLAAG", + AVG(CASE WHEN "MAUT2" = '0' THEN 1 ELSE 0 END) AS condition_rate +FROM "n15" +GROUP BY "MOPLLAAG" +ORDER BY condition_rate DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_11d1a6df44d48c06.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_11d1a6df44d48c06.sql new file mode 100644 index 0000000000000000000000000000000000000000..627a4cdad3029773582ef350a73fe13cb912811f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_11d1a6df44d48c06.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: n15 +-- 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_n15_11d1a6df44d48c06 +-- problem_id: v2p_n15_dab676cff5e419fa +-- realization_mode: agent +-- source_kind: agent +SELECT + "MZFONDS", + "MOSTYPE", + SUM(CAST("MZFONDS" AS REAL)) AS total_measure, + SUM(CAST("MZFONDS" AS REAL)) * 100.0 / NULLIF(SUM(SUM(CAST("MZFONDS" AS REAL))) OVER (PARTITION BY "MZFONDS"), 0) AS share_within_group +FROM "n15" +WHERE "MZFONDS" IS NOT NULL + AND "MOSTYPE" IS NOT NULL +GROUP BY "MZFONDS", "MOSTYPE" +ORDER BY share_within_group DESC +LIMIT 14; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_12f79adc65f4d990.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_12f79adc65f4d990.sql new file mode 100644 index 0000000000000000000000000000000000000000..6ca40572bd8c4c9e73c62db90cec29e5eac6c7be --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_12f79adc65f4d990.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: n15 +-- 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_n15_12f79adc65f4d990 +-- problem_id: v2p_n15_17748ed93105ce22 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "ATRACTOR", SUM(CAST("MBERHOOG" AS REAL)) AS group_value + FROM "n15" + GROUP BY "ATRACTOR" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."ATRACTOR", 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/n15/sql/v2q_n15_1374e15b61790801.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_1374e15b61790801.sql new file mode 100644 index 0000000000000000000000000000000000000000..edc449060856c8e9106d5820696d501657e41144 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_1374e15b61790801.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: n15 +-- 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_n15_1374e15b61790801 +-- problem_id: v2p_n15_3985080b8d6527aa +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "MOSTYPE" AS value_label, COUNT(*) AS support + FROM "n15" + GROUP BY "MOSTYPE" +) +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/n15/sql/v2q_n15_15ca0d8d7ea243f5.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_15ca0d8d7ea243f5.sql new file mode 100644 index 0000000000000000000000000000000000000000..6842d6692ff209e5bffbecfda5dc5d38e8b34811 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_15ca0d8d7ea243f5.sql @@ -0,0 +1,66 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: n15 +-- 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_n15_15ca0d8d7ea243f5 +-- problem_id: v2p_n15_dc5168f68c4f5622 +-- realization_mode: agent +-- source_kind: agent +WITH "ordered" AS ( + SELECT + "MAANTHUI" AS "group_col", + CAST("MAUT0" AS REAL) AS "measure", + ROW_NUMBER() OVER ( + PARTITION BY "MAANTHUI" + ORDER BY CAST("MAUT0" AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "MAANTHUI" + ) AS "cnt" + FROM "n15" + WHERE "MAANTHUI" IS NOT NULL + AND "MAUT0" IS NOT NULL +), +"rank_params" AS ( + SELECT DISTINCT + "group_col", + "cnt", + (1.0 + 0.9 * ("cnt" - 1)) AS "target_rank", + CAST((1.0 + 0.9 * ("cnt" - 1)) AS INTEGER) AS "floor_rank", + CASE + WHEN (1.0 + 0.9 * ("cnt" - 1)) = CAST((1.0 + 0.9 * ("cnt" - 1)) AS INTEGER) + THEN CAST((1.0 + 0.9 * ("cnt" - 1)) AS INTEGER) + ELSE CAST((1.0 + 0.9 * ("cnt" - 1)) AS INTEGER) + 1 + END AS "ceil_rank" + FROM "ordered" +), +"picked" AS ( + SELECT + p."group_col", + p."target_rank", + p."floor_rank", + p."ceil_rank", + MAX(CASE WHEN o."rn" = p."floor_rank" THEN o."measure" END) AS "floor_value", + MAX(CASE WHEN o."rn" = p."ceil_rank" THEN o."measure" END) AS "ceil_value" + FROM "rank_params" AS p + JOIN "ordered" AS o + ON o."group_col" = p."group_col" + GROUP BY + p."group_col", + p."target_rank", + p."floor_rank", + p."ceil_rank" +) +SELECT + "group_col" AS "MAANTHUI", + CASE + WHEN "floor_rank" = "ceil_rank" THEN "floor_value" + ELSE "floor_value" + (("target_rank" - "floor_rank") * ("ceil_value" - "floor_value")) + END AS "percentile_measure" +FROM "picked" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_187cafd064a7989f.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_187cafd064a7989f.sql new file mode 100644 index 0000000000000000000000000000000000000000..1962b751fcf88bcb14eda14294f8d6cc70b29a3b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_187cafd064a7989f.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: n15 +-- 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_n15_187cafd064a7989f +-- problem_id: v2p_n15_f6580f642495b7ac +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT + "AWERKT", + SUM(CAST("MBERZELF" AS REAL)) AS group_value + FROM "n15" + GROUP BY "AWERKT" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."AWERKT", 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/n15/sql/v2q_n15_1c945ca01813b57d.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_1c945ca01813b57d.sql new file mode 100644 index 0000000000000000000000000000000000000000..dc289986ef0e1bd934801745084297b7ce4acc4d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_1c945ca01813b57d.sql @@ -0,0 +1,38 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: n15 +-- 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_n15_1c945ca01813b57d +-- problem_id: v2p_n15_4e40a534e1333b05 +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "MGODPR", + CAST("MINK4575" AS REAL) AS "measure_value", + CUME_DIST() OVER ( + PARTITION BY "MGODPR" + ORDER BY CAST("MINK4575" AS REAL) + ) AS "cume_dist_value" + FROM "n15" + WHERE "MGODPR" IS NOT NULL + AND "MINK4575" IS NOT NULL +), +"percentiles" AS ( + SELECT + "MGODPR", + MIN("measure_value") AS "percentile_measure" + FROM "ranked" + WHERE "cume_dist_value" >= 0.9 + GROUP BY "MGODPR" +) +SELECT + "MGODPR", + "percentile_measure" +FROM "percentiles" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_1d02067fb1e0323e.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_1d02067fb1e0323e.sql new file mode 100644 index 0000000000000000000000000000000000000000..39437acfabb033b8283269166219d299c51af0af --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_1d02067fb1e0323e.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: n15 +-- 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_n15_1d02067fb1e0323e +-- problem_id: v2p_n15_4b22bdca2b38a4bf +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "MINK4575", + SUM(CASE WHEN "ALEVEN" = '1' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "ALEVEN" = '0' THEN 1 ELSE 0 END) AS denominator_count + FROM "n15" + GROUP BY "MINK4575" +) +SELECT "MINK4575", + 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/n15/sql/v2q_n15_1d3426681f5a524f.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_1d3426681f5a524f.sql new file mode 100644 index 0000000000000000000000000000000000000000..669a2ffb2df1a69d690cf4f83959ec800fa218b7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_1d3426681f5a524f.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: n15 +-- 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_n15_1d3426681f5a524f +-- problem_id: v2p_n15_dffe8ea34c674d4f +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "MSKD" AS value_label, COUNT(*) AS support + FROM "n15" + GROUP BY "MSKD" +) +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/n15/sql/v2q_n15_1e497f1df3329564.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_1e497f1df3329564.sql new file mode 100644 index 0000000000000000000000000000000000000000..c619cebb298e42a8dc3b7c5905efc3ee1f3843e1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_1e497f1df3329564.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: n15 +-- 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_n15_1e497f1df3329564 +-- problem_id: v2p_n15_124d4b18cf971af8 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "ABROM", SUM(CAST("MBERBOER" AS REAL)) AS "group_value" + FROM "n15" + GROUP BY "ABROM" +), total AS ( + SELECT SUM("group_value") AS "total_value" + FROM grouped +) +SELECT g."ABROM", 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/n15/sql/v2q_n15_1f8264bb5d87d53e.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_1f8264bb5d87d53e.sql new file mode 100644 index 0000000000000000000000000000000000000000..11302c96d52b14c9d2682709248d4f1bfb879bed --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_1f8264bb5d87d53e.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: n15 +-- 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_n15_1f8264bb5d87d53e +-- problem_id: v2p_n15_0c249a60b4eb4090 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "APLEZIER", SUM(CAST("MSKC" AS REAL)) AS group_value + FROM "n15" + GROUP BY "APLEZIER" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."APLEZIER", 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/n15/sql/v2q_n15_203aed5cf76d64f7.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_203aed5cf76d64f7.sql new file mode 100644 index 0000000000000000000000000000000000000000..5e3ab19adf73a954e5de9e88fbdeebeec7f80b0b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_203aed5cf76d64f7.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: n15 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: focused_target_view +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_n15_203aed5cf76d64f7 +-- problem_id: v2p_n15_850500219e81c0c0 +-- realization_mode: agent +-- source_kind: agent +SELECT "MRELOV", + AVG(CASE WHEN "CARAVAN" = '0' THEN 1.0 ELSE 0.0 END) AS "condition_rate" +FROM "n15" +GROUP BY "MRELOV" +ORDER BY "condition_rate" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_20c5efe4b83c8d1a.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_20c5efe4b83c8d1a.sql new file mode 100644 index 0000000000000000000000000000000000000000..a4450cb18ffd582443b55c0c9c9ee80e611ef51f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_20c5efe4b83c8d1a.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: n15 +-- 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_n15_20c5efe4b83c8d1a +-- problem_id: v2p_n15_fb6923b43aba2376 +-- realization_mode: agent +-- source_kind: agent +SELECT "MRELSA", + AVG(CASE WHEN "ABYSTAND" = '1' THEN 1 ELSE 0 END) AS condition_rate +FROM "n15" +GROUP BY "MRELSA" +ORDER BY condition_rate DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_2124153fa4a5b5d1.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_2124153fa4a5b5d1.sql new file mode 100644 index 0000000000000000000000000000000000000000..92c199c7d71e7febb8f9ec5beeb5e1a325fccfb4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_2124153fa4a5b5d1.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: n15 +-- 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_n15_2124153fa4a5b5d1 +-- problem_id: v2p_n15_a090aaeaec9c32ce +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "AGEZONG", SUM(CAST("MBERARBO" AS REAL)) AS "group_value" + FROM "n15" + WHERE "AGEZONG" IS NOT NULL + AND "MBERARBO" IS NOT NULL + GROUP BY "AGEZONG" +), total AS ( + SELECT SUM("group_value") AS "total_value" + FROM grouped +) +SELECT g."AGEZONG", 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/n15/sql/v2q_n15_262ff99e9d302cc9.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_262ff99e9d302cc9.sql new file mode 100644 index 0000000000000000000000000000000000000000..a6fe4f6dbcef956a737261e57118ff58dcd33129 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_262ff99e9d302cc9.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: n15 +-- 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_n15_262ff99e9d302cc9 +-- problem_id: v2p_n15_d5e1e88865e2428e +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "APERSONG", SUM(CAST("MBERARBG" AS REAL)) AS group_value + FROM "n15" + GROUP BY "APERSONG" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."APERSONG", 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/n15/sql/v2q_n15_26878e3e07183063.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_26878e3e07183063.sql new file mode 100644 index 0000000000000000000000000000000000000000..54c6ed62b83ae119bc87b0f4f5cbe4f63e4fca33 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_26878e3e07183063.sql @@ -0,0 +1,31 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: n15 +-- 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_n15_26878e3e07183063 +-- problem_id: v2p_n15_19acfe13e5271940 +-- realization_mode: agent +-- source_kind: agent +WITH "grouped" AS ( + SELECT + "ALEVEN", + SUM(CAST("MBERMIDD" AS REAL)) AS "group_value" + FROM "n15" + GROUP BY "ALEVEN" +), +"total" AS ( + SELECT SUM("group_value") AS "total_value" + FROM "grouped" +) +SELECT + g."ALEVEN", + 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/n15/sql/v2q_n15_2b0fa76af1422f5c.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_2b0fa76af1422f5c.sql new file mode 100644 index 0000000000000000000000000000000000000000..941e068e38f4e5326128bc4c292aebd1eebc308a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_2b0fa76af1422f5c.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: n15 +-- 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_n15_2b0fa76af1422f5c +-- problem_id: v2p_n15_a8ac881687953632 +-- realization_mode: agent +-- source_kind: agent +WITH "grouped" AS ( + SELECT + "MINKM30", + SUM(CASE WHEN "AWERKT" = '0' THEN 1 ELSE 0 END) AS "numerator_count", + SUM(CASE WHEN "AWERKT" = '2' THEN 1 ELSE 0 END) AS "denominator_count" + FROM "n15" + GROUP BY "MINKM30" +) +SELECT + "MINKM30", + 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/n15/sql/v2q_n15_2fae1e864831202e.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_2fae1e864831202e.sql new file mode 100644 index 0000000000000000000000000000000000000000..71c75f6362c01789cabd0c91641249107e530418 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_2fae1e864831202e.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: n15 +-- 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_n15_2fae1e864831202e +-- problem_id: v2p_n15_0b092869772a8edb +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "MZPART" AS value_label, COUNT(*) AS support + FROM "n15" + GROUP BY "MZPART" +) +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/n15/sql/v2q_n15_2ffff16664b18242.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_2ffff16664b18242.sql new file mode 100644 index 0000000000000000000000000000000000000000..ecd98a6cbbc431b84b6ec67246b60397233857fb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_2ffff16664b18242.sql @@ -0,0 +1,44 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: n15 +-- 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_n15_2ffff16664b18242 +-- problem_id: v2p_n15_18d623c36af86ebe +-- realization_mode: agent +-- source_kind: agent +WITH "typed" AS ( + SELECT + "MGODOV", + CAST(NULLIF(TRIM("MINK7512"), '') AS REAL) AS "measure_value" + FROM "n15" + WHERE "MGODOV" IS NOT NULL + AND TRIM("MGODOV") <> '' + AND NULLIF(TRIM("MINK7512"), '') IS NOT NULL +), +"ranked" AS ( + SELECT + "MGODOV", + "measure_value", + ROW_NUMBER() OVER ( + PARTITION BY "MGODOV" + ORDER BY "measure_value" ASC + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "MGODOV" + ) AS "cnt" + FROM "typed" +) +SELECT + "MGODOV", + MIN("measure_value") AS "percentile_measure" +FROM "ranked" +WHERE "cnt" >= 5 + AND 10 * "rn" >= 9 * "cnt" +GROUP BY "MGODOV" +ORDER BY "percentile_measure" DESC, + "MGODOV" ASC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_332efbef7c1bea58.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_332efbef7c1bea58.sql new file mode 100644 index 0000000000000000000000000000000000000000..5f51b06c5b83ea61f809e901f45059a54ba12a2b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_332efbef7c1bea58.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: n15 +-- 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_n15_332efbef7c1bea58 +-- problem_id: v2p_n15_e591f88f8ad6cd51 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "MINK123M", + SUM(CASE WHEN "AGEZONG" = '0' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "AGEZONG" = '1' THEN 1 ELSE 0 END) AS denominator_count + FROM "n15" + GROUP BY "MINK123M" +) +SELECT "MINK123M", + 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/n15/sql/v2q_n15_34568afc8982dcb3.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_34568afc8982dcb3.sql new file mode 100644 index 0000000000000000000000000000000000000000..0858bf2accfa491b2610b94230f844fc01c4026e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_34568afc8982dcb3.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: n15 +-- 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_n15_34568afc8982dcb3 +-- problem_id: v2p_n15_1aa22c17f87fef38 +-- realization_mode: agent +-- source_kind: agent +SELECT "MFWEKIND", + AVG(CASE WHEN "MGODOV" = '0' THEN 1 ELSE 0 END) AS "condition_rate" +FROM "n15" +GROUP BY "MFWEKIND" +ORDER BY "condition_rate" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_3a8a929bbd8cdee1.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_3a8a929bbd8cdee1.sql new file mode 100644 index 0000000000000000000000000000000000000000..41583d4444125396b10c5cafce16b9fe49659bf1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_3a8a929bbd8cdee1.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: n15 +-- 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_n15_3a8a929bbd8cdee1 +-- problem_id: v2p_n15_11df30a74d994b06 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "AWAPART" AS value_label, COUNT(*) AS support + FROM "n15" + GROUP BY "AWAPART" +) +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/n15/sql/v2q_n15_3abdc460a600dbf9.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_3abdc460a600dbf9.sql new file mode 100644 index 0000000000000000000000000000000000000000..240d9d16f172dd582cbac1097f58968ad67f2ed2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_3abdc460a600dbf9.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: n15 +-- 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_n15_3abdc460a600dbf9 +-- problem_id: v2p_n15_ffe0e3c97be7a807 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "MOSTYPE" AS value_label, COUNT(*) AS support + FROM "n15" + GROUP BY "MOSTYPE" +), 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/n15/sql/v2q_n15_3adaaeb8f1ed941d.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_3adaaeb8f1ed941d.sql new file mode 100644 index 0000000000000000000000000000000000000000..a75f6eb34b2c2e5d9c049714d3c7a72ec2a397a8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_3adaaeb8f1ed941d.sql @@ -0,0 +1,73 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: n15 +-- 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_n15_3adaaeb8f1ed941d +-- problem_id: v2p_n15_92f96638aaf70a14 +-- realization_mode: agent +-- source_kind: agent +WITH "filtered" AS ( + SELECT + "MAANTHUI" AS "group_value", + CAST("MAUT0" AS REAL) AS "measure_value" + FROM "n15" + WHERE "MAANTHUI" IS NOT NULL + AND "MAUT0" IS NOT NULL + AND TRIM("MAUT0") <> '' + AND "ABYSTAND" = '1' +), +"ordered" AS ( + SELECT + "group_value", + "measure_value", + ROW_NUMBER() OVER ( + PARTITION BY "group_value" + ORDER BY "measure_value" + ) AS "rn", + COUNT(*) OVER (PARTITION BY "group_value") AS "cnt" + FROM "filtered" +), +"target_ranks" AS ( + SELECT DISTINCT + "group_value", + "cnt", + 1.0 + 0.95 * ("cnt" - 1) AS "target_rank" + FROM "ordered" +), +"bounds" AS ( + SELECT + "group_value", + "cnt", + CAST("target_rank" AS INTEGER) AS "lower_rn", + CAST("target_rank" AS INTEGER) + + CASE + WHEN ABS("target_rank" - CAST("target_rank" AS INTEGER)) < 1e-12 THEN 0 + ELSE 1 + END AS "upper_rn", + "target_rank" - CAST("target_rank" AS INTEGER) AS "weight" + FROM "target_ranks" + WHERE "cnt" >= 5 +) +SELECT + b."group_value" AS "MAANTHUI", + CASE + WHEN b."lower_rn" = b."upper_rn" THEN + MAX(CASE WHEN o."rn" = b."lower_rn" THEN o."measure_value" END) + ELSE + MAX(CASE WHEN o."rn" = b."lower_rn" THEN o."measure_value" END) * (1.0 - b."weight") + + MAX(CASE WHEN o."rn" = b."upper_rn" THEN o."measure_value" END) * b."weight" + END AS "percentile_measure" +FROM "bounds" AS b +JOIN "ordered" AS o + ON o."group_value" = b."group_value" +GROUP BY + b."group_value", + b."lower_rn", + b."upper_rn", + b."weight" +ORDER BY "percentile_measure" DESC, "MAANTHUI"; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_3c3ff22af151ad5b.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_3c3ff22af151ad5b.sql new file mode 100644 index 0000000000000000000000000000000000000000..3e24af2e1edff49f787f513662039a79d55a15fd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_3c3ff22af151ad5b.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: n15 +-- 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_n15_3c3ff22af151ad5b +-- problem_id: v2p_n15_adb302605866a1ba +-- realization_mode: agent +-- source_kind: agent +SELECT "MGEMOMV", SUM(CAST("MGEMOMV" AS NUMERIC)) AS total_measure +FROM "n15" +GROUP BY "MGEMOMV" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_3d7bef6c8a525e22.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_3d7bef6c8a525e22.sql new file mode 100644 index 0000000000000000000000000000000000000000..0310e8aaf77d733e84f90fea5c8af38d857a7b3e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_3d7bef6c8a525e22.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: n15 +-- 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_n15_3d7bef6c8a525e22 +-- problem_id: v2p_n15_bb49ddd18117be00 +-- realization_mode: agent +-- source_kind: agent +WITH "grouped" AS ( + SELECT "ABRAND", SUM(CAST("MSKB1" AS REAL)) AS "group_value" + FROM "n15" + GROUP BY "ABRAND" +), "total" AS ( + SELECT SUM("group_value") AS "total_value" + FROM "grouped" +) +SELECT g."ABRAND", 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/n15/sql/v2q_n15_3ef83c6e328ee527.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_3ef83c6e328ee527.sql new file mode 100644 index 0000000000000000000000000000000000000000..44701f0622047612a0a1afcf290adea5e94ff86d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_3ef83c6e328ee527.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: n15 +-- 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_n15_3ef83c6e328ee527 +-- problem_id: v2p_n15_dbae4c3ca1866894 +-- realization_mode: agent +-- source_kind: agent +SELECT + "MSKB2", + "MOSTYPE", + SUM(CAST("MSKB2" AS REAL)) AS "total_measure", + SUM(CAST("MSKB2" AS REAL)) * 100.0 / SUM(SUM(CAST("MSKB2" AS REAL))) OVER (PARTITION BY "MSKB2") AS "share_within_group" +FROM "n15" +GROUP BY "MSKB2", "MOSTYPE" +ORDER BY "share_within_group" DESC +LIMIT 16; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_40dac0a87ffc4f46.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_40dac0a87ffc4f46.sql new file mode 100644 index 0000000000000000000000000000000000000000..c776002541f4715a046e1a8d56fc43a04d9c7dee --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_40dac0a87ffc4f46.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: n15 +-- 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_n15_40dac0a87ffc4f46 +-- problem_id: v2p_n15_02e578367cccc6ba +-- realization_mode: agent +-- source_kind: agent +SELECT + "MGEMLEEF", + SUM(CAST("MGEMLEEF" AS INTEGER)) AS "total_measure" +FROM "n15" +GROUP BY "MGEMLEEF" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_44131f5286476cff.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_44131f5286476cff.sql new file mode 100644 index 0000000000000000000000000000000000000000..298b8a9051904008f85eb4aa52ba157da2c92d00 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_44131f5286476cff.sql @@ -0,0 +1,23 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: n15 +-- 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_n15_44131f5286476cff +-- problem_id: v2p_n15_ac70bdcc3144b25c +-- realization_mode: agent +-- source_kind: agent +WITH "buckets" AS ( + SELECT + CAST("MFWEKIND" AS INTEGER) AS "MFWEKIND", + NTILE(10) OVER (ORDER BY CAST("MFWEKIND" AS INTEGER) DESC) AS "tail_bucket" + FROM "n15" +) +SELECT "MFWEKIND" +FROM "buckets" +WHERE "tail_bucket" = 1 +ORDER BY "MFWEKIND" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_44b33beed175fb01.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_44b33beed175fb01.sql new file mode 100644 index 0000000000000000000000000000000000000000..c15e725d7344d74c06218c23080d34fb758c0e55 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_44b33beed175fb01.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: n15 +-- 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_n15_44b33beed175fb01 +-- problem_id: v2p_n15_21d09f0c10e52d83 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "AZEILPL", SUM(CAST("MSKB2" AS REAL)) AS group_value + FROM "n15" + GROUP BY "AZEILPL" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."AZEILPL", 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/n15/sql/v2q_n15_44d2c61e78c64821.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_44d2c61e78c64821.sql new file mode 100644 index 0000000000000000000000000000000000000000..308cc5ab82b095f08bf1b8be2b69a5b9cbaf1e58 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_44d2c61e78c64821.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: n15 +-- 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_n15_44d2c61e78c64821 +-- problem_id: v2p_n15_bc4680d88dd86c68 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "PAANHANG" AS value_label, COUNT(*) AS support + FROM "n15" + GROUP BY "PAANHANG" +), 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/n15/sql/v2q_n15_48119b0820e22bbd.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_48119b0820e22bbd.sql new file mode 100644 index 0000000000000000000000000000000000000000..753d20afe25121159c5cca2c1d972c3362f6b363 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_48119b0820e22bbd.sql @@ -0,0 +1,30 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: n15 +-- 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_n15_48119b0820e22bbd +-- problem_id: v2p_n15_094a99d2120e9660 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT + "APERSONG", + SUM(CAST("MBERARBG" AS REAL)) AS group_value + FROM "n15" + GROUP BY "APERSONG" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT + g."APERSONG", + 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/n15/sql/v2q_n15_49b2d3b273fc0a17.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_49b2d3b273fc0a17.sql new file mode 100644 index 0000000000000000000000000000000000000000..937ddfd9118c3e6cf388248ef961ea89934e797f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_49b2d3b273fc0a17.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: n15 +-- 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_n15_49b2d3b273fc0a17 +-- problem_id: v2p_n15_d23ca2f3cf7c218f +-- realization_mode: agent +-- source_kind: agent +SELECT "MOSHOOFD", SUM(CAST("MOSHOOFD" AS INTEGER)) AS "total_measure" +FROM "n15" +GROUP BY "MOSHOOFD" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_5043ee9a6c35e366.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_5043ee9a6c35e366.sql new file mode 100644 index 0000000000000000000000000000000000000000..7a9018521c459ccb03c4c0cefe39d3c48d88b760 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_5043ee9a6c35e366.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: n15 +-- 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_n15_5043ee9a6c35e366 +-- problem_id: v2p_n15_7e35b4690200e950 +-- realization_mode: agent +-- source_kind: agent +SELECT "MOSTYPE", "PWAOREG", COUNT(*) AS row_count +FROM "n15" +WHERE "PGEZONG" = '2' +GROUP BY "MOSTYPE", "PWAOREG" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_50941cd699c186f0.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_50941cd699c186f0.sql new file mode 100644 index 0000000000000000000000000000000000000000..ac8f3f941264030c387d98d8bc256b0f4635a871 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_50941cd699c186f0.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: n15 +-- 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_n15_50941cd699c186f0 +-- problem_id: v2p_n15_b400b129606e904a +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "ABYSTAND", + CAST("MHKOOP" AS REAL) AS "measure_value", + CUME_DIST() OVER ( + PARTITION BY "ABYSTAND" + ORDER BY CAST("MHKOOP" AS REAL) + ) AS "cume_dist_value" + FROM "n15" + WHERE "ABYSTAND" IS NOT NULL + AND "MHKOOP" IS NOT NULL +) +SELECT + "ABYSTAND", + MIN("measure_value") AS "percentile_measure" +FROM "ranked" +WHERE "cume_dist_value" >= 0.95 +GROUP BY "ABYSTAND" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_5342c14155d3daae.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_5342c14155d3daae.sql new file mode 100644 index 0000000000000000000000000000000000000000..4797a5932aa9211c004df8b1141f649127715d82 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_5342c14155d3daae.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: n15 +-- 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_n15_5342c14155d3daae +-- problem_id: v2p_n15_d5f126502694c200 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT + "AWAOREG", + SUM(CAST("MSKA" AS NUMERIC)) AS group_value + FROM "n15" + WHERE "AWAOREG" IS NOT NULL + AND TRIM("AWAOREG") <> '' + AND "MSKA" IS NOT NULL + AND TRIM("MSKA") <> '' + GROUP BY "AWAOREG" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."AWAOREG", 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/n15/sql/v2q_n15_553023ff3dfd6e63.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_553023ff3dfd6e63.sql new file mode 100644 index 0000000000000000000000000000000000000000..73f13a81bdd49f141d89ce926286d945bff4481e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_553023ff3dfd6e63.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: n15 +-- 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_n15_553023ff3dfd6e63 +-- problem_id: v2p_n15_f7b3f558b1ad42dc +-- realization_mode: agent +-- source_kind: agent +SELECT + "MSKD", + "MOSTYPE", + SUM(CAST("MSKD" AS REAL)) AS total_measure, + SUM(CAST("MSKD" AS REAL)) * 100.0 / NULLIF(SUM(SUM(CAST("MSKD" AS REAL))) OVER (PARTITION BY "MSKD"), 0) AS share_within_group +FROM "n15" +GROUP BY "MSKD", "MOSTYPE" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_57696d33153b7eb0.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_57696d33153b7eb0.sql new file mode 100644 index 0000000000000000000000000000000000000000..0dc44d56674289619e3e1fe5a79e1f42c8e1c905 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_57696d33153b7eb0.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: n15 +-- 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_n15_57696d33153b7eb0 +-- problem_id: v2p_n15_ee3d7c4457b6c0e5 +-- realization_mode: agent +-- source_kind: agent +SELECT "MGODGE", SUM(CAST("MGODGE" AS NUMERIC)) AS "total_measure" +FROM "n15" +GROUP BY "MGODGE" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_5cd070a477bdf678.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_5cd070a477bdf678.sql new file mode 100644 index 0000000000000000000000000000000000000000..e50169a0350403886914912a9125a384d1aacede --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_5cd070a477bdf678.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: n15 +-- 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_n15_5cd070a477bdf678 +-- problem_id: v2p_n15_601493639caa3ef5 +-- realization_mode: agent +-- source_kind: agent +SELECT + "MAUT1", + "MOSTYPE", + SUM(CAST("MAUT1" AS REAL)) AS total_measure, + SUM(CAST("MAUT1" AS REAL)) * 100.0 / NULLIF(SUM(SUM(CAST("MAUT1" AS REAL))) OVER (PARTITION BY "MAUT1"), 0) AS share_within_group +FROM "n15" +GROUP BY "MAUT1", "MOSTYPE" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_5ee573523ac69846.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_5ee573523ac69846.sql new file mode 100644 index 0000000000000000000000000000000000000000..9af9ca7c03aa0b1c62a80eb6798683fd723e6029 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_5ee573523ac69846.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: n15 +-- 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_n15_5ee573523ac69846 +-- problem_id: v2p_n15_04eff93af5c153d2 +-- realization_mode: agent +-- source_kind: agent +SELECT "MOSTYPE", SUM(CAST("MOSTYPE" AS NUMERIC)) AS total_measure +FROM "n15" +GROUP BY "MOSTYPE" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_6288b2cfb815c504.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_6288b2cfb815c504.sql new file mode 100644 index 0000000000000000000000000000000000000000..b3eb528c06902c969bf093c99f64574acacd2ec3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_6288b2cfb815c504.sql @@ -0,0 +1,75 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: n15 +-- 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_n15_6288b2cfb815c504 +-- problem_id: v2p_n15_5570d54ab64423e8 +-- realization_mode: agent +-- source_kind: agent +WITH "base" AS ( + SELECT + "MGODRK" AS "group_col", + CAST("MINK3045" AS REAL) AS "measure_val" + FROM "n15" + WHERE "ABYSTAND" = '1' + AND "MGODRK" IS NOT NULL + AND TRIM("MGODRK") <> '' + AND "MINK3045" IS NOT NULL + AND TRIM("MINK3045") <> '' +), +"ordered" AS ( + SELECT + "group_col", + "measure_val", + ROW_NUMBER() OVER ( + PARTITION BY "group_col" + ORDER BY "measure_val" + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "group_col" + ) AS "cnt" + FROM "base" +), +"params" AS ( + SELECT DISTINCT + "group_col", + "cnt", + 1.0 + ((19.0 * ("cnt" - 1)) / 20.0) AS "pos", + 1 + CAST((19 * ("cnt" - 1)) / 20 AS INTEGER) AS "lower_rn", + 1 + CAST((19 * ("cnt" - 1)) / 20 AS INTEGER) + + CASE WHEN (19 * ("cnt" - 1)) % 20 = 0 THEN 0 ELSE 1 END AS "upper_rn" + FROM "ordered" +), +"picked" AS ( + SELECT + p."group_col", + p."cnt", + p."pos", + p."lower_rn", + p."upper_rn", + MAX(CASE WHEN o."rn" = p."lower_rn" THEN o."measure_val" END) AS "lower_val", + MAX(CASE WHEN o."rn" = p."upper_rn" THEN o."measure_val" END) AS "upper_val" + FROM "params" AS p + JOIN "ordered" AS o + ON o."group_col" = p."group_col" + GROUP BY + p."group_col", + p."cnt", + p."pos", + p."lower_rn", + p."upper_rn" +) +SELECT + "group_col" AS "MGODRK", + CASE + WHEN "lower_rn" = "upper_rn" THEN "lower_val" + ELSE "lower_val" + (("pos" - "lower_rn") * ("upper_val" - "lower_val")) + END AS "percentile_measure" +FROM "picked" +WHERE "cnt" >= 5 +ORDER BY "percentile_measure" DESC, "MGODRK"; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_646ec09ce1f923b2.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_646ec09ce1f923b2.sql new file mode 100644 index 0000000000000000000000000000000000000000..84d93ebef0ace859c1def783cca0b885ab94ff0a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_646ec09ce1f923b2.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: n15 +-- 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_n15_646ec09ce1f923b2 +-- problem_id: v2p_n15_14549cc2f2f09363 +-- realization_mode: agent +-- source_kind: agent +SELECT + "MAUT0", + "MOSTYPE", + SUM(CAST("MAUT0" AS REAL)) AS total_measure, + SUM(CAST("MAUT0" AS REAL)) * 100.0 / NULLIF(SUM(SUM(CAST("MAUT0" AS REAL))) OVER (PARTITION BY "MAUT0"), 0) AS share_within_group +FROM "n15" +GROUP BY "MAUT0", "MOSTYPE" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_66607e173b4bcdd0.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_66607e173b4bcdd0.sql new file mode 100644 index 0000000000000000000000000000000000000000..f6e9ea34652514a313cbb11d0d74eea04a05f459 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_66607e173b4bcdd0.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: n15 +-- 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_n15_66607e173b4bcdd0 +-- problem_id: v2p_n15_0d8d4b697e57cf20 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "AWAOREG" AS value_label, COUNT(*) AS support + FROM "n15" + GROUP BY "AWAOREG" +) +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/n15/sql/v2q_n15_69ec0d6ed097b1d9.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_69ec0d6ed097b1d9.sql new file mode 100644 index 0000000000000000000000000000000000000000..e5900d85f5f8fa0d14240fa2d75eb3499a776915 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_69ec0d6ed097b1d9.sql @@ -0,0 +1,66 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: n15 +-- 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_n15_69ec0d6ed097b1d9 +-- problem_id: v2p_n15_b7261a908a1936cc +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "MOSHOOFD", + CAST("MINKM30" AS REAL) AS "measure_value", + ROW_NUMBER() OVER ( + PARTITION BY "MOSHOOFD" + ORDER BY CAST("MINKM30" AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "MOSHOOFD" + ) AS "cnt" + FROM "n15" + WHERE "MOSHOOFD" IS NOT NULL + AND "MINKM30" IS NOT NULL +), +"pos" AS ( + SELECT DISTINCT + "MOSHOOFD", + "cnt", + (1.0 + (0.9 * ("cnt" - 1))) AS "pct_pos", + CAST(1.0 + (0.9 * ("cnt" - 1)) AS INTEGER) AS "lower_rn", + CASE + WHEN (1.0 + (0.9 * ("cnt" - 1))) = CAST(1.0 + (0.9 * ("cnt" - 1)) AS INTEGER) + THEN CAST(1.0 + (0.9 * ("cnt" - 1)) AS INTEGER) + ELSE CAST(1.0 + (0.9 * ("cnt" - 1)) AS INTEGER) + 1 + END AS "upper_rn" + FROM "ranked" +), +"picked" AS ( + SELECT + p."MOSHOOFD", + p."pct_pos", + p."lower_rn", + p."upper_rn", + MAX(CASE WHEN r."rn" = p."lower_rn" THEN r."measure_value" END) AS "lower_val", + MAX(CASE WHEN r."rn" = p."upper_rn" THEN r."measure_value" END) AS "upper_val" + FROM "pos" AS p + JOIN "ranked" AS r + ON r."MOSHOOFD" = p."MOSHOOFD" + GROUP BY + p."MOSHOOFD", + p."pct_pos", + p."lower_rn", + p."upper_rn" +) +SELECT + "MOSHOOFD", + CASE + WHEN "lower_rn" = "upper_rn" THEN "lower_val" + ELSE "lower_val" + (("pct_pos" - "lower_rn") * ("upper_val" - "lower_val")) + END AS "percentile_measure" +FROM "picked" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_6a9b388142dca769.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_6a9b388142dca769.sql new file mode 100644 index 0000000000000000000000000000000000000000..367c36f8cbdae8295507551cea0997ca3d4c500f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_6a9b388142dca769.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: n15 +-- 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_n15_6a9b388142dca769 +-- problem_id: v2p_n15_fc4284ae7015996a +-- realization_mode: agent +-- source_kind: agent +SELECT + "MSKD", + "MOSTYPE", + SUM(CAST("MSKD" AS REAL)) AS "total_measure", + SUM(CAST("MSKD" AS REAL)) * 100.0 / SUM(SUM(CAST("MSKD" AS REAL))) OVER (PARTITION BY "MSKD") AS "share_within_group" +FROM "n15" +GROUP BY "MSKD", "MOSTYPE" +ORDER BY "share_within_group" DESC +LIMIT 18; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_6b8065fb0537bbd3.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_6b8065fb0537bbd3.sql new file mode 100644 index 0000000000000000000000000000000000000000..39a15e7798f23d09b0641817355bfb5b9a8d1e7a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_6b8065fb0537bbd3.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: n15 +-- 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_n15_6b8065fb0537bbd3 +-- problem_id: v2p_n15_3c8892ec7b7927c2 +-- realization_mode: agent +-- source_kind: agent +SELECT "MOSTYPE", "PWERKT", COUNT(*) AS row_count +FROM "n15" +WHERE CAST("PTRACTOR" AS REAL) >= 5.0 +GROUP BY "MOSTYPE", "PWERKT" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_6dcae1e6cf27ae2c.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_6dcae1e6cf27ae2c.sql new file mode 100644 index 0000000000000000000000000000000000000000..a349be72982f7017921d8d7b1dc84f98a440ea2f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_6dcae1e6cf27ae2c.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: n15 +-- 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_n15_6dcae1e6cf27ae2c +-- problem_id: v2p_n15_4bf04bf83321a9b6 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "MGODOV" AS value_label, COUNT(*) AS support + FROM "n15" + GROUP BY "MGODOV" +), 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/n15/sql/v2q_n15_6e630a0db712b417.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_6e630a0db712b417.sql new file mode 100644 index 0000000000000000000000000000000000000000..f0b435e0c131be17c65067fa3a9d320b6c72ccf6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_6e630a0db712b417.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: n15 +-- 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_n15_6e630a0db712b417 +-- problem_id: v2p_n15_0c7fa5ebb3682699 +-- realization_mode: agent +-- source_kind: agent +SELECT "MOPLHOOG", COUNT(*) AS "row_count" +FROM "n15" +GROUP BY "MOPLHOOG" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_709b070fb6714d72.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_709b070fb6714d72.sql new file mode 100644 index 0000000000000000000000000000000000000000..8d4382b8d7ed013d9fdd60e675249d8ab6bcfd66 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_709b070fb6714d72.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: n15 +-- 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_n15_709b070fb6714d72 +-- problem_id: v2p_n15_28d9e87e74f1900e +-- realization_mode: agent +-- source_kind: agent +SELECT "MSKA", "MOSTYPE", + SUM(CAST("MSKA" AS REAL)) AS total_measure, + SUM(CAST("MSKA" AS REAL)) * 100.0 / SUM(SUM(CAST("MSKA" AS REAL))) OVER (PARTITION BY "MSKA") AS share_within_group +FROM "n15" +GROUP BY "MSKA", "MOSTYPE" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_712f950683abf1aa.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_712f950683abf1aa.sql new file mode 100644 index 0000000000000000000000000000000000000000..2fb98a305a50d86056ad34cbd8a5394b49b2abfe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_712f950683abf1aa.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: n15 +-- 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_n15_712f950683abf1aa +-- problem_id: v2p_n15_81e11d8f8cc90518 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "AZEILPL", SUM(CAST("MSKB2" AS REAL)) AS group_value + FROM "n15" + WHERE "AZEILPL" IS NOT NULL + AND "MSKB2" IS NOT NULL + GROUP BY "AZEILPL" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."AZEILPL", 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/n15/sql/v2q_n15_71ea85c61b2b4eab.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_71ea85c61b2b4eab.sql new file mode 100644 index 0000000000000000000000000000000000000000..82bfd3a7ecc686f487cd4783ac9c175e950582d6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_71ea85c61b2b4eab.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: n15 +-- 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_n15_71ea85c61b2b4eab +-- problem_id: v2p_n15_6e3ac7f2d92b0211 +-- realization_mode: agent +-- source_kind: agent +SELECT "MGEMLEEF", SUM("MGEMLEEF") AS total_measure +FROM "n15" +GROUP BY "MGEMLEEF" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_7214481b54579f41.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_7214481b54579f41.sql new file mode 100644 index 0000000000000000000000000000000000000000..a66f005d3744cfb756dd0da07e86df825bcb5a96 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_7214481b54579f41.sql @@ -0,0 +1,23 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: n15 +-- 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_n15_7214481b54579f41 +-- problem_id: v2p_n15_3fd5a4fbdecc42b5 +-- realization_mode: agent +-- source_kind: agent +WITH "buckets" AS ( + SELECT CAST("MGODOV" AS INTEGER) AS "MGODOV", + NTILE(10) OVER (ORDER BY CAST("MGODOV" AS INTEGER) DESC) AS "tail_bucket" + FROM "n15" + WHERE "MGODOV" IS NOT NULL +) +SELECT "MGODOV" +FROM "buckets" +WHERE "tail_bucket" = 1 +ORDER BY "MGODOV" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_723c32f43597d793.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_723c32f43597d793.sql new file mode 100644 index 0000000000000000000000000000000000000000..592fd0fe96d39ff79bb449ca0d0be89f1cd5677a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_723c32f43597d793.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: n15 +-- 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_n15_723c32f43597d793 +-- problem_id: v2p_n15_cb2ad9e028dca1e3 +-- realization_mode: agent +-- source_kind: agent +SELECT + "MSKC", + "MOSTYPE", + SUM(CAST("MSKC" AS REAL)) AS "total_measure", + SUM(CAST("MSKC" AS REAL)) * 100.0 / SUM(SUM(CAST("MSKC" AS REAL))) OVER (PARTITION BY "MSKC") AS "share_within_group" +FROM "n15" +GROUP BY "MSKC", "MOSTYPE" +ORDER BY "share_within_group" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_754e3010bf5098f5.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_754e3010bf5098f5.sql new file mode 100644 index 0000000000000000000000000000000000000000..4697a005a4e9d46e711f51319c6a6ad66cdaec92 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_754e3010bf5098f5.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: n15 +-- 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_n15_754e3010bf5098f5 +-- problem_id: v2p_n15_7e41843ccd3581c4 +-- realization_mode: agent +-- source_kind: agent +SELECT + "MHHUUR", + "MOSTYPE", + SUM(CAST("MHHUUR" AS REAL)) AS total_measure, + SUM(CAST("MHHUUR" AS REAL)) * 100.0 / SUM(SUM(CAST("MHHUUR" AS REAL))) OVER (PARTITION BY "MHHUUR") AS share_within_group +FROM "n15" +GROUP BY "MHHUUR", "MOSTYPE" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_76b7ad93243986d5.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_76b7ad93243986d5.sql new file mode 100644 index 0000000000000000000000000000000000000000..5635e1d9acf1c659f239cc54c294e687893f3313 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_76b7ad93243986d5.sql @@ -0,0 +1,23 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: n15 +-- 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_n15_76b7ad93243986d5 +-- problem_id: v2p_n15_e0c87ab4a50568ef +-- realization_mode: agent +-- source_kind: agent +SELECT + "MSKC" AS "MSKC", + "MOSTYPE" AS "MOSTYPE", + SUM(CAST("MSKC" AS REAL)) AS "total_measure", + SUM(CAST("MSKC" AS REAL)) * 100.0 / SUM(SUM(CAST("MSKC" AS REAL))) OVER (PARTITION BY "MSKC") AS "share_within_group" +FROM "n15" +WHERE "MSKC" IS NOT NULL + AND "MOSTYPE" IS NOT NULL +GROUP BY "MSKC", "MOSTYPE" +ORDER BY "share_within_group" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_795a500cbb85c46a.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_795a500cbb85c46a.sql new file mode 100644 index 0000000000000000000000000000000000000000..58e7ddcc3cd044fab5f304b73fd23bbbc8f1a8b2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_795a500cbb85c46a.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: n15 +-- 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_n15_795a500cbb85c46a +-- problem_id: v2p_n15_638cb255a1b0ff20 +-- realization_mode: agent +-- source_kind: agent +SELECT "MGEMOMV", SUM(CAST("MGEMOMV" AS NUMERIC)) AS total_measure +FROM "n15" +GROUP BY "MGEMOMV" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_7ec6eb112f27ba14.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_7ec6eb112f27ba14.sql new file mode 100644 index 0000000000000000000000000000000000000000..007f25eb0e96b7746f86bfa2ad3d484447e8d66b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_7ec6eb112f27ba14.sql @@ -0,0 +1,30 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: n15 +-- 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_n15_7ec6eb112f27ba14 +-- problem_id: v2p_n15_781ac7c15eb0e181 +-- realization_mode: agent +-- source_kind: agent +WITH "grouped" AS ( + SELECT + "ABROM", + SUM(CAST("MBERBOER" AS REAL)) AS "group_value" + FROM "n15" + GROUP BY "ABROM" +), "total" AS ( + SELECT SUM("group_value") AS "total_value" + FROM "grouped" +) +SELECT + g."ABROM", + 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/n15/sql/v2q_n15_821a079c217f49be.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_821a079c217f49be.sql new file mode 100644 index 0000000000000000000000000000000000000000..a74f92d6f5b9e9d2d6dcb5bcdba52f17bcba72d6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_821a079c217f49be.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: n15 +-- 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_n15_821a079c217f49be +-- problem_id: v2p_n15_061a1c921050b32e +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT + "PWAPART", + SUM(CASE WHEN "AZEILPL" = '0' THEN 1 ELSE 0 END) AS "numerator_count", + SUM(CASE WHEN "AZEILPL" = '1' THEN 1 ELSE 0 END) AS "denominator_count" + FROM "n15" + GROUP BY "PWAPART" +) +SELECT + "PWAPART", + 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/n15/sql/v2q_n15_831e4b462c547387.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_831e4b462c547387.sql new file mode 100644 index 0000000000000000000000000000000000000000..be425ed48ae9baad98e3641179e78dd4ea0c5a34 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_831e4b462c547387.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: n15 +-- 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_n15_831e4b462c547387 +-- problem_id: v2p_n15_eb1035b541bd8e01 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "AWAOREG", SUM(CAST("MSKA" AS REAL)) AS group_value + FROM "n15" + GROUP BY "AWAOREG" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."AWAOREG", 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/n15/sql/v2q_n15_8841071f29b80019.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_8841071f29b80019.sql new file mode 100644 index 0000000000000000000000000000000000000000..0229e54c55348f19cc8d08693d25191575eaaa84 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_8841071f29b80019.sql @@ -0,0 +1,34 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: n15 +-- 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_n15_8841071f29b80019 +-- problem_id: v2p_n15_ae47d0ab762cfec3 +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "CARAVAN", + CAST("MAUT1" AS REAL) AS "measure_value", + CUME_DIST() OVER ( + PARTITION BY "CARAVAN" + ORDER BY CAST("MAUT1" AS REAL) + ) AS "cdf", + COUNT(*) OVER (PARTITION BY "CARAVAN") AS "group_size" + FROM "n15" + WHERE "CARAVAN" IS NOT NULL + AND "MAUT1" IS NOT NULL +) +SELECT + "CARAVAN", + MIN("measure_value") AS "percentile_measure" +FROM "ranked" +WHERE "cdf" >= 0.9 + AND "group_size" >= 5 +GROUP BY "CARAVAN" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_8a91fa6787491e50.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_8a91fa6787491e50.sql new file mode 100644 index 0000000000000000000000000000000000000000..c0ec858c6d052a6f92a765c96bcf0f2e3781cc7f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_8a91fa6787491e50.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: n15 +-- 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_n15_8a91fa6787491e50 +-- problem_id: v2p_n15_e5244c1d388ea45e +-- realization_mode: agent +-- source_kind: agent +SELECT "MAUT2", "MOSTYPE", + SUM(CAST("MAUT2" AS REAL)) AS total_measure, + SUM(CAST("MAUT2" AS REAL)) * 100.0 / NULLIF(SUM(SUM(CAST("MAUT2" AS REAL))) OVER (PARTITION BY "MAUT2"), 0) AS share_within_group +FROM "n15" +GROUP BY "MAUT2", "MOSTYPE" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_8c035addd0dae041.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_8c035addd0dae041.sql new file mode 100644 index 0000000000000000000000000000000000000000..09a6253a36a0dfaf3bd39f9bf02cf29ef51ce6c8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_8c035addd0dae041.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: n15 +-- 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_n15_8c035addd0dae041 +-- problem_id: v2p_n15_b8d18c22f752ff6a +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "PWAPART" AS value_label, COUNT(*) AS support + FROM "n15" + GROUP BY "PWAPART" +) +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/n15/sql/v2q_n15_8cd4f9a1a1e2b848.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_8cd4f9a1a1e2b848.sql new file mode 100644 index 0000000000000000000000000000000000000000..20d899070ce1164b60e24ad2334b47375c41f8d9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_8cd4f9a1a1e2b848.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: n15 +-- 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_n15_8cd4f9a1a1e2b848 +-- problem_id: v2p_n15_cea0b1939e1659aa +-- realization_mode: agent +-- source_kind: agent +WITH "buckets" AS ( + SELECT + CAST("MGODGE" AS INTEGER) AS "MGODGE", + NTILE(10) OVER (ORDER BY CAST("MGODGE" AS INTEGER) DESC) AS "tail_bucket" + FROM "n15" + WHERE "MGODGE" IS NOT NULL +) +SELECT "MGODGE" +FROM "buckets" +WHERE "tail_bucket" = 1 +ORDER BY "MGODGE" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_8f8fbd90b232ee22.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_8f8fbd90b232ee22.sql new file mode 100644 index 0000000000000000000000000000000000000000..253693c38b8a6a2fb9cdec7a68a78ac2500f9712 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_8f8fbd90b232ee22.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: n15 +-- 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_n15_8f8fbd90b232ee22 +-- problem_id: v2p_n15_22b751e0c4901d44 +-- realization_mode: agent +-- source_kind: agent +SELECT "MSKA", "MOSTYPE", + SUM(CAST("MSKA" AS REAL)) AS total_measure, + CASE + WHEN SUM(SUM(CAST("MSKA" AS REAL))) OVER (PARTITION BY "MSKA") = 0 THEN NULL + ELSE SUM(CAST("MSKA" AS REAL)) * 100.0 / SUM(SUM(CAST("MSKA" AS REAL))) OVER (PARTITION BY "MSKA") + END AS share_within_group +FROM "n15" +GROUP BY "MSKA", "MOSTYPE" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_8fd8bbee5b727e1b.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_8fd8bbee5b727e1b.sql new file mode 100644 index 0000000000000000000000000000000000000000..2e137d35380200bfa1d5f55db52d9f3d51bdd872 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_8fd8bbee5b727e1b.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: n15 +-- 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_n15_8fd8bbee5b727e1b +-- problem_id: v2p_n15_34cef2cdcbb29cc7 +-- realization_mode: agent +-- source_kind: agent +WITH "grouped" AS ( + SELECT "MINK3045", + SUM(CASE WHEN "ABROM" = '0' THEN 1 ELSE 0 END) AS "numerator_count", + SUM(CASE WHEN "ABROM" = '1' THEN 1 ELSE 0 END) AS "denominator_count" + FROM "n15" + GROUP BY "MINK3045" +) +SELECT "MINK3045", + 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/n15/sql/v2q_n15_8fdb4982ebba62ae.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_8fdb4982ebba62ae.sql new file mode 100644 index 0000000000000000000000000000000000000000..caaeb9751b9e644c48725dea2a48d56dbaeb9c24 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_8fdb4982ebba62ae.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: n15 +-- 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_n15_8fdb4982ebba62ae +-- problem_id: v2p_n15_ec9f79d96fc43f0a +-- realization_mode: agent +-- source_kind: agent +SELECT "MOSTYPE", "PBROM", COUNT(*) AS row_count +FROM "n15" +WHERE "PWERKT" = '3' +GROUP BY "MOSTYPE", "PBROM" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_920dcb7cde23230c.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_920dcb7cde23230c.sql new file mode 100644 index 0000000000000000000000000000000000000000..e65a7314764e901563c30f9f8f79fd2bd51b9951 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_920dcb7cde23230c.sql @@ -0,0 +1,31 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: n15 +-- 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_n15_920dcb7cde23230c +-- problem_id: v2p_n15_72c4de58413c8130 +-- realization_mode: agent +-- source_kind: agent +WITH "grouped" AS ( + SELECT + "ATRACTOR", + SUM(CAST("MBERHOOG" AS REAL)) AS "group_value" + FROM "n15" + GROUP BY "ATRACTOR" +), +"total" AS ( + SELECT SUM("group_value") AS "total_value" + FROM "grouped" +) +SELECT + g."ATRACTOR", + 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/n15/sql/v2q_n15_945b4e84835c8de4.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_945b4e84835c8de4.sql new file mode 100644 index 0000000000000000000000000000000000000000..4907930aec70ebfbad518a37d84c6abf33e3217b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_945b4e84835c8de4.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: n15 +-- 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_n15_945b4e84835c8de4 +-- problem_id: v2p_n15_b467ebf39fc00ba3 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "MZPART" AS value_label, COUNT(*) AS support + FROM "n15" + GROUP BY "MZPART" +), 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/n15/sql/v2q_n15_9506d927be519f72.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_9506d927be519f72.sql new file mode 100644 index 0000000000000000000000000000000000000000..eaf8c737e17911e45109bf02822a621f120444cc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_9506d927be519f72.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: n15 +-- 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_n15_9506d927be519f72 +-- problem_id: v2p_n15_394dafc0eb2edfbe +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "MOSTYPE", + COUNT(*) AS support, + AVG("MGEMLEEF") AS avg_response +FROM "n15" +GROUP BY "MOSTYPE" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_9ad46ccf0b7f25db.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_9ad46ccf0b7f25db.sql new file mode 100644 index 0000000000000000000000000000000000000000..583771a692b38b1f3756a88ecc4bad0d14f8817c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_9ad46ccf0b7f25db.sql @@ -0,0 +1,23 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: n15 +-- 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_n15_9ad46ccf0b7f25db +-- problem_id: v2p_n15_0e7c011da7579c4e +-- realization_mode: agent +-- source_kind: agent +WITH "buckets" AS ( + SELECT + CAST("MFALLEEN" AS INTEGER) AS "MFALLEEN", + NTILE(10) OVER (ORDER BY CAST("MFALLEEN" AS INTEGER) DESC) AS "tail_bucket" + FROM "n15" +) +SELECT "MFALLEEN" +FROM "buckets" +WHERE "tail_bucket" = 1 +ORDER BY "MFALLEEN" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_9b6b270ba268cce7.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_9b6b270ba268cce7.sql new file mode 100644 index 0000000000000000000000000000000000000000..672cb4b502f0194c745ef8524c5296f770f858e3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_9b6b270ba268cce7.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: n15 +-- 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_n15_9b6b270ba268cce7 +-- problem_id: v2p_n15_18e85a815825832d +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "MOSTYPE", + COUNT(*) AS support, + AVG("MAANTHUI") AS avg_response +FROM "n15" +GROUP BY "MOSTYPE" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_9ba69bb7381ae131.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_9ba69bb7381ae131.sql new file mode 100644 index 0000000000000000000000000000000000000000..5a1fc606565f2b73c2a61963efb4e98f895c7f0c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_9ba69bb7381ae131.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: n15 +-- 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_n15_9ba69bb7381ae131 +-- problem_id: v2p_n15_6a061d63f4a97a0a +-- realization_mode: agent +-- source_kind: agent +SELECT "MOSTYPE", "PAANHANG", COUNT(*) AS "row_count" +FROM "n15" +WHERE "PVRAAUT" = '9' +GROUP BY "MOSTYPE", "PAANHANG" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_9bf8e3b63bbb0e7d.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_9bf8e3b63bbb0e7d.sql new file mode 100644 index 0000000000000000000000000000000000000000..4c53ff1adbc3229609dbd305e2479980f6d9a900 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_9bf8e3b63bbb0e7d.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: n15 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: focused_target_view +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_n15_9bf8e3b63bbb0e7d +-- problem_id: v2p_n15_1d6874cc0be52ce0 +-- realization_mode: agent +-- source_kind: agent +SELECT + "MFGEKIND", + AVG(CASE WHEN "MGEMLEEF" = '3' THEN 1 ELSE 0 END) AS condition_rate +FROM "n15" +GROUP BY "MFGEKIND" +ORDER BY condition_rate DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_9cca528eb12b38f3.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_9cca528eb12b38f3.sql new file mode 100644 index 0000000000000000000000000000000000000000..92d4f8f311fb02bf22fd302c16982d9e225fbcd7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_9cca528eb12b38f3.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: n15 +-- 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_n15_9cca528eb12b38f3 +-- problem_id: v2p_n15_c238d7d2375dd90b +-- realization_mode: agent +-- source_kind: agent +SELECT + "MHKOOP", + "MOSTYPE", + SUM(CAST("MHKOOP" AS REAL)) AS total_measure, + SUM(CAST("MHKOOP" AS REAL)) * 100.0 / SUM(SUM(CAST("MHKOOP" AS REAL))) OVER (PARTITION BY "MHKOOP") AS share_within_group +FROM "n15" +GROUP BY "MHKOOP", "MOSTYPE" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_9e14e8e59987b8c0.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_9e14e8e59987b8c0.sql new file mode 100644 index 0000000000000000000000000000000000000000..51e9dcc8478cec23712ccf21a495426e281fa054 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_9e14e8e59987b8c0.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: n15 +-- 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_n15_9e14e8e59987b8c0 +-- problem_id: v2p_n15_0980e6ca82af0af3 +-- realization_mode: agent +-- source_kind: agent +SELECT "MOSTYPE", "PPERSONG", COUNT(*) AS row_count +FROM "n15" +WHERE CAST("PLEVEN" AS REAL) >= 4.0 +GROUP BY "MOSTYPE", "PPERSONG" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_a26821e47dd32c9e.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_a26821e47dd32c9e.sql new file mode 100644 index 0000000000000000000000000000000000000000..129c6160ad376b128ffbd2b4043e4055d4b5fc9c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_a26821e47dd32c9e.sql @@ -0,0 +1,63 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: n15 +-- 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_n15_a26821e47dd32c9e +-- problem_id: v2p_n15_6b7969eabdf27c0a +-- realization_mode: agent +-- source_kind: agent +WITH "ordered" AS ( + SELECT + "ABYSTAND", + CAST("MHKOOP" AS REAL) AS "measure_value", + ROW_NUMBER() OVER ( + PARTITION BY "ABYSTAND" + ORDER BY CAST("MHKOOP" AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "ABYSTAND" + ) AS "cnt" + FROM "n15" + WHERE "ABYSTAND" IS NOT NULL + AND "MHKOOP" IS NOT NULL +), +"params" AS ( + SELECT + "ABYSTAND", + MAX("cnt") AS "cnt", + (1.0 + 0.9 * (MAX("cnt") - 1)) AS "target_rank", + CAST((1.0 + 0.9 * (MAX("cnt") - 1)) AS INTEGER) AS "lower_rn", + CASE + WHEN (1.0 + 0.9 * (MAX("cnt") - 1)) = CAST((1.0 + 0.9 * (MAX("cnt") - 1)) AS INTEGER) + THEN CAST((1.0 + 0.9 * (MAX("cnt") - 1)) AS INTEGER) + ELSE CAST((1.0 + 0.9 * (MAX("cnt") - 1)) AS INTEGER) + 1 + END AS "upper_rn" + FROM "ordered" + GROUP BY "ABYSTAND" +), +"bounds" AS ( + SELECT + p."ABYSTAND", + p."target_rank", + p."lower_rn", + p."upper_rn", + MAX(CASE WHEN o."rn" = p."lower_rn" THEN o."measure_value" END) AS "lower_value", + MAX(CASE WHEN o."rn" = p."upper_rn" THEN o."measure_value" END) AS "upper_value" + FROM "params" AS p + JOIN "ordered" AS o + ON o."ABYSTAND" = p."ABYSTAND" + GROUP BY p."ABYSTAND", p."target_rank", p."lower_rn", p."upper_rn" +) +SELECT + "ABYSTAND", + CASE + WHEN "lower_rn" = "upper_rn" THEN "lower_value" + ELSE "lower_value" + ("target_rank" - "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/n15/sql/v2q_n15_a7a7b49fd10ccbb3.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_a7a7b49fd10ccbb3.sql new file mode 100644 index 0000000000000000000000000000000000000000..d9b92000a1b20d7b152f6e38fad91122e1d55e45 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_a7a7b49fd10ccbb3.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: n15 +-- 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_n15_a7a7b49fd10ccbb3 +-- problem_id: v2p_n15_ccd413e6f6151bd8 +-- realization_mode: agent +-- source_kind: agent +SELECT "MOSTYPE", SUM(CAST("MOSTYPE" AS NUMERIC)) AS "total_measure" +FROM "n15" +GROUP BY "MOSTYPE" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_a82233987d4c4124.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_a82233987d4c4124.sql new file mode 100644 index 0000000000000000000000000000000000000000..49d651a823ebaafb2fec6a1a9b9f82f54632aa1d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_a82233987d4c4124.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: n15 +-- 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_n15_a82233987d4c4124 +-- problem_id: v2p_n15_13651498799d6f70 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT + "PWABEDR", + SUM(CASE WHEN "APLEZIER" = '0' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "APLEZIER" = '1' THEN 1 ELSE 0 END) AS denominator_count + FROM "n15" + GROUP BY "PWABEDR" +) +SELECT + "PWABEDR", + 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/n15/sql/v2q_n15_a9443809ffecac96.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_a9443809ffecac96.sql new file mode 100644 index 0000000000000000000000000000000000000000..0c43d831fced42b2581892416ac6efe98638c445 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_a9443809ffecac96.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: n15 +-- 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_n15_a9443809ffecac96 +-- problem_id: v2p_n15_ba42fc0286359d0e +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "MFWEKIND" AS value_label, COUNT(*) AS support + FROM "n15" + GROUP BY "MFWEKIND" +), 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/n15/sql/v2q_n15_a986b22781fabdb1.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_a986b22781fabdb1.sql new file mode 100644 index 0000000000000000000000000000000000000000..885a78f13ce8c36d903a6ca23057029ec27946a4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_a986b22781fabdb1.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: n15 +-- 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_n15_a986b22781fabdb1 +-- problem_id: v2p_n15_345e18ae5570f44c +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "MOSTYPE", + COUNT(*) AS support, + AVG("MGEMOMV") AS avg_response +FROM "n15" +GROUP BY "MOSTYPE" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_a9a297445315f0c6.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_a9a297445315f0c6.sql new file mode 100644 index 0000000000000000000000000000000000000000..3f1f759fa49b781db35d46a6bc528f13ca1e437d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_a9a297445315f0c6.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: n15 +-- 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_n15_a9a297445315f0c6 +-- problem_id: v2p_n15_01b023f939fb35b6 +-- realization_mode: agent +-- source_kind: agent +SELECT + "MAUT1", + "MOSTYPE", + SUM(CAST("MAUT1" AS REAL)) AS total_measure, + SUM(CAST("MAUT1" AS REAL)) * 100.0 / NULLIF(SUM(SUM(CAST("MAUT1" AS REAL))) OVER (PARTITION BY "MAUT1"), 0) AS share_within_group +FROM "n15" +GROUP BY "MAUT1", "MOSTYPE" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_abffe499860c1b39.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_abffe499860c1b39.sql new file mode 100644 index 0000000000000000000000000000000000000000..1dcbcef0e23798dd2da1298c40961f5a0ab6127a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_abffe499860c1b39.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: n15 +-- 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_n15_abffe499860c1b39 +-- problem_id: v2p_n15_78234c9493261578 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "PAANHANG" AS value_label, COUNT(*) AS support + FROM "n15" + GROUP BY "PAANHANG" +) +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/n15/sql/v2q_n15_acfdd80d11b171b7.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_acfdd80d11b171b7.sql new file mode 100644 index 0000000000000000000000000000000000000000..662e7999fe33a92fb3bec69d8a3ea8da2029cf6b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_acfdd80d11b171b7.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: n15 +-- 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_n15_acfdd80d11b171b7 +-- problem_id: v2p_n15_585266f804e2a382 +-- realization_mode: agent +-- source_kind: agent +SELECT + "MSKB2", + "MOSTYPE", + SUM(CAST("MSKB2" AS REAL)) AS total_measure, + SUM(CAST("MSKB2" AS REAL)) * 100.0 / SUM(SUM(CAST("MSKB2" AS REAL))) OVER (PARTITION BY "MSKB2") AS share_within_group +FROM "n15" +GROUP BY "MSKB2", "MOSTYPE" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_ae506aece4c92472.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_ae506aece4c92472.sql new file mode 100644 index 0000000000000000000000000000000000000000..a3423695f9994511af5c014a34475c906923017e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_ae506aece4c92472.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: n15 +-- 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_n15_ae506aece4c92472 +-- problem_id: v2p_n15_2b02d207bf0b41dc +-- realization_mode: agent +-- source_kind: agent +SELECT "MHHUUR", "MOSTYPE", + SUM(CAST("MHHUUR" AS REAL)) AS total_measure, + SUM(CAST("MHHUUR" AS REAL)) * 100.0 / SUM(SUM(CAST("MHHUUR" AS REAL))) OVER (PARTITION BY "MHHUUR") AS share_within_group +FROM "n15" +GROUP BY "MHHUUR", "MOSTYPE" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_b1378a9197521b05.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_b1378a9197521b05.sql new file mode 100644 index 0000000000000000000000000000000000000000..a5f4dc3de3210e695f84f047d4dfa8a81654b39c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_b1378a9197521b05.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: n15 +-- 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_n15_b1378a9197521b05 +-- problem_id: v2p_n15_415318019380ab2f +-- realization_mode: agent +-- source_kind: agent +SELECT + "MOSHOOFD", + SUM(CAST("MOSHOOFD" AS INTEGER)) AS "total_measure" +FROM "n15" +GROUP BY "MOSHOOFD" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_b1c78db1141ae8cc.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_b1c78db1141ae8cc.sql new file mode 100644 index 0000000000000000000000000000000000000000..1c50522be83ddd5fb93453b0fea43ac12f728026 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_b1c78db1141ae8cc.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: n15 +-- 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_n15_b1c78db1141ae8cc +-- problem_id: v2p_n15_3b1489e3f88972fa +-- realization_mode: agent +-- source_kind: agent +SELECT + "MAUT0", + "MOSTYPE", + SUM(CAST("MAUT0" AS REAL)) AS "total_measure", + SUM(CAST("MAUT0" AS REAL)) * 100.0 / NULLIF(SUM(SUM(CAST("MAUT0" AS REAL))) OVER (PARTITION BY "MAUT0"), 0) AS "share_within_group" +FROM "n15" +GROUP BY "MAUT0", "MOSTYPE" +ORDER BY "share_within_group" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_b1f6895e5edfc54c.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_b1f6895e5edfc54c.sql new file mode 100644 index 0000000000000000000000000000000000000000..10a2d4722663fc8b478a320159717ace3bf34824 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_b1f6895e5edfc54c.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: n15 +-- 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_n15_b1f6895e5edfc54c +-- problem_id: v2p_n15_603a5a3caff227aa +-- realization_mode: agent +-- source_kind: agent +WITH "grouped" AS ( + SELECT + "MINKGEM", + SUM(CASE WHEN "AWAOREG" = '0' THEN 1 ELSE 0 END) AS "numerator_count", + SUM(CASE WHEN "AWAOREG" = '1' THEN 1 ELSE 0 END) AS "denominator_count" + FROM "n15" + GROUP BY "MINKGEM" +) +SELECT + "MINKGEM", + 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/n15/sql/v2q_n15_b1ff6de2a8c38687.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_b1ff6de2a8c38687.sql new file mode 100644 index 0000000000000000000000000000000000000000..8a18abcc2d7b3d1bcd1449e1b93d5fdcd94097d3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_b1ff6de2a8c38687.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: n15 +-- 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_n15_b1ff6de2a8c38687 +-- problem_id: v2p_n15_dc67e0ffb18e0581 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "PWAOREG" AS value_label, COUNT(*) AS support + FROM "n15" + GROUP BY "PWAOREG" +), 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/n15/sql/v2q_n15_b3622556eab45981.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_b3622556eab45981.sql new file mode 100644 index 0000000000000000000000000000000000000000..502330a7c073bdfc3f5beefa06dce1b8ff309889 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_b3622556eab45981.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: n15 +-- 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_n15_b3622556eab45981 +-- problem_id: v2p_n15_3698321b5d3a701d +-- realization_mode: agent +-- source_kind: agent +WITH buckets AS ( + SELECT + "MRELOV", + NTILE(10) OVER (ORDER BY CAST("MRELOV" AS REAL) DESC) AS tail_bucket + FROM "n15" + WHERE "MRELOV" IS NOT NULL +) +SELECT "MRELOV" +FROM buckets +WHERE tail_bucket = 1 +ORDER BY CAST("MRELOV" AS REAL) DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_b3a38ee5adf4a19f.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_b3a38ee5adf4a19f.sql new file mode 100644 index 0000000000000000000000000000000000000000..2934e3d08df4942fad51f9e8e7d3626980081f14 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_b3a38ee5adf4a19f.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: n15 +-- 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_n15_b3a38ee5adf4a19f +-- problem_id: v2p_n15_bade619ee11ca2aa +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "MBERMIDD" AS value_label, COUNT(*) AS support + FROM "n15" + GROUP BY "MBERMIDD" +), 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/n15/sql/v2q_n15_b58038d4c63874c4.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_b58038d4c63874c4.sql new file mode 100644 index 0000000000000000000000000000000000000000..cf62bb4d5340121907c443d2b3130b5794a53523 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_b58038d4c63874c4.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: n15 +-- 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_n15_b58038d4c63874c4 +-- problem_id: v2p_n15_a6ae496dae862ebb +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "MSKD" AS value_label, COUNT(*) AS support + FROM "n15" + GROUP BY "MSKD" +), 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/n15/sql/v2q_n15_b6aa44b5cb9de7fe.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_b6aa44b5cb9de7fe.sql new file mode 100644 index 0000000000000000000000000000000000000000..e92e9f9c451de8dd957eca8e9ad6d3253301401f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_b6aa44b5cb9de7fe.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: n15 +-- 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_n15_b6aa44b5cb9de7fe +-- problem_id: v2p_n15_615075d3fe72dd53 +-- realization_mode: agent +-- source_kind: agent +SELECT "MOPLMIDD", COUNT(*) AS "row_count" +FROM "n15" +GROUP BY "MOPLMIDD" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_b6c2f87c610f4668.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_b6c2f87c610f4668.sql new file mode 100644 index 0000000000000000000000000000000000000000..3e5c50b6585933359b45d352e93a4d9e8ea4129c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_b6c2f87c610f4668.sql @@ -0,0 +1,69 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: n15 +-- 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_n15_b6c2f87c610f4668 +-- problem_id: v2p_n15_391dd4d703a1ed14 +-- realization_mode: agent +-- source_kind: agent +WITH "filtered" AS ( + SELECT + "MOSHOOFD", + CAST("MINKM30" AS REAL) AS "measure_value" + FROM "n15" + WHERE "ABYSTAND" = '1' + AND "MOSHOOFD" IS NOT NULL + AND "MINKM30" IS NOT NULL +), +"ordered" AS ( + SELECT + "MOSHOOFD", + "measure_value", + ROW_NUMBER() OVER ( + PARTITION BY "MOSHOOFD" + ORDER BY "measure_value" + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "MOSHOOFD" + ) AS "cnt" + FROM "filtered" +), +"eligible" AS ( + SELECT + "MOSHOOFD", + "measure_value", + "rn", + "cnt", + (1.0 + 0.95 * ("cnt" - 1)) AS "pos", + CAST(1.0 + 0.95 * ("cnt" - 1) AS INTEGER) AS "lower_rn", + CASE + WHEN (1.0 + 0.95 * ("cnt" - 1)) = CAST(1.0 + 0.95 * ("cnt" - 1) AS INTEGER) + THEN CAST(1.0 + 0.95 * ("cnt" - 1) AS INTEGER) + ELSE CAST(1.0 + 0.95 * ("cnt" - 1) AS INTEGER) + 1 + END AS "upper_rn" + FROM "ordered" + WHERE "cnt" >= 5 +), +"percentiles" AS ( + SELECT + "MOSHOOFD", + MAX(CASE WHEN "rn" = "lower_rn" THEN "measure_value" END) AS "lower_value", + MAX(CASE WHEN "rn" = "upper_rn" THEN "measure_value" END) AS "upper_value", + MAX("pos" - "lower_rn") AS "fraction" + FROM "eligible" + GROUP BY "MOSHOOFD" +) +SELECT + "MOSHOOFD", + CASE + WHEN "upper_value" IS NULL OR "fraction" = 0 THEN "lower_value" + ELSE "lower_value" + "fraction" * ("upper_value" - "lower_value") + END AS "percentile_measure" +FROM "percentiles" +ORDER BY "percentile_measure" DESC, + "MOSHOOFD" ASC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_b6daa7f3107186cd.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_b6daa7f3107186cd.sql new file mode 100644 index 0000000000000000000000000000000000000000..c6b26026d9810eb7c60a937f0de167cbdd3fd9b1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_b6daa7f3107186cd.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: n15 +-- 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_n15_b6daa7f3107186cd +-- problem_id: v2p_n15_650838f74345e3a2 +-- realization_mode: agent +-- source_kind: agent +SELECT "MOSTYPE", "PGEZONG", COUNT(*) AS "row_count" +FROM "n15" +WHERE "PPERSONG" = '0' +GROUP BY "MOSTYPE", "PGEZONG" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_b85d8cd2c1117466.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_b85d8cd2c1117466.sql new file mode 100644 index 0000000000000000000000000000000000000000..ac56693f759f90c0d006356c709d028fd09e141d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_b85d8cd2c1117466.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: n15 +-- 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_n15_b85d8cd2c1117466 +-- problem_id: v2p_n15_ecc64c78e51401f9 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "PWAOREG" AS value_label, COUNT(*) AS support + FROM "n15" + GROUP BY "PWAOREG" +) +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/n15/sql/v2q_n15_bb2082a690dc4204.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_bb2082a690dc4204.sql new file mode 100644 index 0000000000000000000000000000000000000000..2f54b6ddbeb3ba3be5349a71bd59a8ad8a95aa41 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_bb2082a690dc4204.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: n15 +-- 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_n15_bb2082a690dc4204 +-- problem_id: v2p_n15_3e2c250c3073a9ca +-- realization_mode: agent +-- source_kind: agent +SELECT + "MSKB1", + "MOSTYPE", + SUM(CAST("MSKB1" AS REAL)) AS total_measure, + SUM(CAST("MSKB1" AS REAL)) * 100.0 / SUM(SUM(CAST("MSKB1" AS REAL))) OVER (PARTITION BY "MSKB1") AS share_within_group +FROM "n15" +GROUP BY "MSKB1", "MOSTYPE" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_bf22a88d5b9af82a.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_bf22a88d5b9af82a.sql new file mode 100644 index 0000000000000000000000000000000000000000..dd22776dc9299b3a9decbe999d77e1b50adfc31b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_bf22a88d5b9af82a.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: n15 +-- 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_n15_bf22a88d5b9af82a +-- problem_id: v2p_n15_6af9879c9a7d6788 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "AAANHANG" AS value_label, COUNT(*) AS support + FROM "n15" + GROUP BY "AAANHANG" +), 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/n15/sql/v2q_n15_bf4d2333297bde84.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_bf4d2333297bde84.sql new file mode 100644 index 0000000000000000000000000000000000000000..731fe3de9f8f02a906523995ecade32fe6ca3e1e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_bf4d2333297bde84.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: n15 +-- 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_n15_bf4d2333297bde84 +-- problem_id: v2p_n15_2f87d726bf413629 +-- realization_mode: agent +-- source_kind: agent +WITH buckets AS ( + SELECT + "MRELGE", + NTILE(10) OVER (ORDER BY CAST("MRELGE" AS REAL) DESC) AS tail_bucket + FROM "n15" + WHERE "MRELGE" IS NOT NULL +) +SELECT "MRELGE" +FROM buckets +WHERE tail_bucket = 1 +ORDER BY CAST("MRELGE" AS REAL) DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_c040d221af00e397.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_c040d221af00e397.sql new file mode 100644 index 0000000000000000000000000000000000000000..b927f8c35c6a8f75137486eed7d08363a5a50c01 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_c040d221af00e397.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: n15 +-- 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_n15_c040d221af00e397 +-- problem_id: v2p_n15_480dfa984f99f3e9 +-- realization_mode: agent +-- source_kind: agent +SELECT "MGODPR", SUM(CAST("MGODPR" AS NUMERIC)) AS "total_measure" +FROM "n15" +GROUP BY "MGODPR" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_c76e8cff99cd284b.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_c76e8cff99cd284b.sql new file mode 100644 index 0000000000000000000000000000000000000000..ba1cc8fcd2fc6f406d28ad93cd79588da3d54547 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_c76e8cff99cd284b.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: n15 +-- 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_n15_c76e8cff99cd284b +-- problem_id: v2p_n15_0801e0a5bae86252 +-- realization_mode: agent +-- source_kind: agent +SELECT "MGODPR", SUM(CAST("MGODPR" AS NUMERIC)) AS total_measure +FROM "n15" +GROUP BY "MGODPR" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_c7a1c3969f2aff3d.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_c7a1c3969f2aff3d.sql new file mode 100644 index 0000000000000000000000000000000000000000..7cf22038bbaf783da87a83e11f6f583ac434b7b0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_c7a1c3969f2aff3d.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: n15 +-- 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_n15_c7a1c3969f2aff3d +-- problem_id: v2p_n15_7c9d067a777168e4 +-- realization_mode: agent +-- source_kind: agent +SELECT "MAANTHUI", SUM(CAST("MAANTHUI" AS INTEGER)) AS total_measure +FROM "n15" +GROUP BY "MAANTHUI" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_c8aea652c30077b6.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_c8aea652c30077b6.sql new file mode 100644 index 0000000000000000000000000000000000000000..7f76c1f862fee58c7c7402d79d10200bbddb9587 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_c8aea652c30077b6.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: n15 +-- 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_n15_c8aea652c30077b6 +-- problem_id: v2p_n15_7562a60b9b6d149e +-- realization_mode: agent +-- source_kind: agent +SELECT "MGODOV", SUM(CAST("MGODOV" AS NUMERIC)) AS total_measure +FROM "n15" +GROUP BY "MGODOV" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_ca0f4508dd4e7be9.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_ca0f4508dd4e7be9.sql new file mode 100644 index 0000000000000000000000000000000000000000..aa4e5ed8017ecb01bd805ef16147885cb802d937 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_ca0f4508dd4e7be9.sql @@ -0,0 +1,43 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: n15 +-- 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_n15_ca0f4508dd4e7be9 +-- problem_id: v2p_n15_5c72234e77939c64 +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "MGEMOMV" AS "group_col", + CAST("MZFONDS" AS REAL) AS "measure_value", + ROW_NUMBER() OVER ( + PARTITION BY "MGEMOMV" + ORDER BY CAST("MZFONDS" AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "MGEMOMV" + ) AS "cnt" + FROM "n15" + WHERE "ABYSTAND" = '1' + AND "MGEMOMV" IS NOT NULL + AND "MZFONDS" IS NOT NULL +), +"percentiles" AS ( + SELECT + "group_col", + "measure_value" AS "percentile_measure" + FROM "ranked" + WHERE "rn" = CAST((("cnt" * 95) + 99) / 100 AS INTEGER) + AND "cnt" >= 5 +) +SELECT + "group_col" AS "MGEMOMV", + "percentile_measure" +FROM "percentiles" +ORDER BY "percentile_measure" DESC, + CAST("group_col" AS REAL) ASC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_cc213fa6a8379597.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_cc213fa6a8379597.sql new file mode 100644 index 0000000000000000000000000000000000000000..5c8f880b55d83cf85aeb6a29c1c894e42703922a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_cc213fa6a8379597.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: n15 +-- 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_n15_cc213fa6a8379597 +-- problem_id: v2p_n15_0a804627c12c957c +-- realization_mode: agent +-- source_kind: agent +SELECT "MAANTHUI", SUM(CAST("MAANTHUI" AS INTEGER)) AS "total_measure" +FROM "n15" +GROUP BY "MAANTHUI" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_cdac9946276b3934.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_cdac9946276b3934.sql new file mode 100644 index 0000000000000000000000000000000000000000..469e2ef4acb07c2d44096720a4afc649ca7fc893 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_cdac9946276b3934.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: n15 +-- 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_n15_cdac9946276b3934 +-- problem_id: v2p_n15_715fc5da0cfc80e8 +-- realization_mode: agent +-- source_kind: agent +SELECT "MOSTYPE", "PLEVEN", COUNT(*) AS "row_count" +FROM "n15" +WHERE CAST("PBROM" AS REAL) >= 4.0 +GROUP BY "MOSTYPE", "PLEVEN" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_d0cd03a23954f6a8.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_d0cd03a23954f6a8.sql new file mode 100644 index 0000000000000000000000000000000000000000..b20b3b9ed229fe952ec8c22c2965d2777373ac52 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_d0cd03a23954f6a8.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: n15 +-- 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_n15_d0cd03a23954f6a8 +-- problem_id: v2p_n15_c9e0cee37860bd32 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "AAANHANG" AS value_label, COUNT(*) AS support + FROM "n15" + GROUP BY "AAANHANG" +) +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/n15/sql/v2q_n15_d37ad2bdfd591475.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_d37ad2bdfd591475.sql new file mode 100644 index 0000000000000000000000000000000000000000..7fde4e3e3ef98d355c2dab30867e62323041fa0e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_d37ad2bdfd591475.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: n15 +-- 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_n15_d37ad2bdfd591475 +-- problem_id: v2p_n15_9b3c8646d9952c8e +-- realization_mode: agent +-- source_kind: agent +SELECT "MOPLLAAG", COUNT(*) AS row_count +FROM "n15" +GROUP BY "MOPLLAAG" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_d7549601c0771457.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_d7549601c0771457.sql new file mode 100644 index 0000000000000000000000000000000000000000..60ce90b9039f56c34128f375d603f5526b4cf3da --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_d7549601c0771457.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: n15 +-- 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_n15_d7549601c0771457 +-- problem_id: v2p_n15_d78b05538cfb4d6e +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "PWAPART" AS value_label, COUNT(*) AS support + FROM "n15" + GROUP BY "PWAPART" +), 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/n15/sql/v2q_n15_d765376a68bdfe07.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_d765376a68bdfe07.sql new file mode 100644 index 0000000000000000000000000000000000000000..bb5317e8a66d0d903b08b0032ca63fc021f37cca --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_d765376a68bdfe07.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: n15 +-- 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_n15_d765376a68bdfe07 +-- problem_id: v2p_n15_04a247aa073537b6 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT + "ALEVEN", + SUM(CAST("MBERMIDD" AS REAL)) AS "group_value" + FROM "n15" + WHERE "ALEVEN" IS NOT NULL + AND "ALEVEN" <> '' + AND "MBERMIDD" IS NOT NULL + AND "MBERMIDD" <> '' + GROUP BY "ALEVEN" +), total AS ( + SELECT SUM("group_value") AS "total_value" + FROM grouped +) +SELECT g."ALEVEN", 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/n15/sql/v2q_n15_d76f15ebbb80a077.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_d76f15ebbb80a077.sql new file mode 100644 index 0000000000000000000000000000000000000000..511ad8bef5b4533c65bf59b8a46a8ed47b33985c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_d76f15ebbb80a077.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: n15 +-- 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_n15_d76f15ebbb80a077 +-- problem_id: v2p_n15_b9f260f681d62ef9 +-- realization_mode: agent +-- source_kind: agent +WITH "buckets" AS ( + SELECT + "MFGEKIND", + CAST("MFGEKIND" AS REAL) AS "measure_value", + NTILE(10) OVER (ORDER BY CAST("MFGEKIND" AS REAL) DESC) AS "tail_bucket" + FROM "n15" + WHERE "MFGEKIND" IS NOT NULL +) +SELECT "MFGEKIND" +FROM "buckets" +WHERE "tail_bucket" = 1 +ORDER BY "measure_value" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_d78e79a5aa5a35f1.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_d78e79a5aa5a35f1.sql new file mode 100644 index 0000000000000000000000000000000000000000..46c6ca5a932f1b8b4abbcbd7a692b03b09e260ac --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_d78e79a5aa5a35f1.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: n15 +-- 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_n15_d78e79a5aa5a35f1 +-- problem_id: v2p_n15_645ce02db036434e +-- realization_mode: agent +-- source_kind: agent +SELECT + "MGODRK", + SUM(CAST("MGODRK" AS NUMERIC)) AS "total_measure" +FROM "n15" +GROUP BY "MGODRK" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_dc3b49804dd67157.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_dc3b49804dd67157.sql new file mode 100644 index 0000000000000000000000000000000000000000..87c87f1c3231980e5890bcf4eb19a8d2d7ff0f67 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_dc3b49804dd67157.sql @@ -0,0 +1,23 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: n15 +-- 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_n15_dc3b49804dd67157 +-- problem_id: v2p_n15_13da6ba9d7d8041c +-- realization_mode: agent +-- source_kind: agent +WITH buckets AS ( + SELECT CAST("MGODPR" AS REAL) AS "MGODPR", + NTILE(10) OVER (ORDER BY CAST("MGODPR" AS REAL) DESC) AS "tail_bucket" + FROM "n15" + WHERE "MGODPR" IS NOT NULL +) +SELECT "MGODPR" +FROM buckets +WHERE "tail_bucket" = 1 +ORDER BY "MGODPR" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_dc76fc6554dbdb3e.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_dc76fc6554dbdb3e.sql new file mode 100644 index 0000000000000000000000000000000000000000..58fff23ba375881cf2950fa2eed93834859fa52b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_dc76fc6554dbdb3e.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: n15 +-- 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_n15_dc76fc6554dbdb3e +-- problem_id: v2p_n15_3ad7a8fbd064766f +-- realization_mode: agent +-- source_kind: agent +SELECT "MFWEKIND", COUNT(*) AS row_count +FROM "n15" +GROUP BY "MFWEKIND" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_ddc4b0726ad2429b.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_ddc4b0726ad2429b.sql new file mode 100644 index 0000000000000000000000000000000000000000..08adda706c9716c71cc299393f1c13283b425a65 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_ddc4b0726ad2429b.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: n15 +-- 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_n15_ddc4b0726ad2429b +-- problem_id: v2p_n15_5d3950936d1123f7 +-- realization_mode: agent +-- source_kind: agent +SELECT "MGODOV", SUM(CAST("MGODOV" AS NUMERIC)) AS total_measure +FROM "n15" +GROUP BY "MGODOV" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_e100007c92975588.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_e100007c92975588.sql new file mode 100644 index 0000000000000000000000000000000000000000..a81b2cf474d6fece81df2fd0be3343b02ef90dba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_e100007c92975588.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: n15 +-- 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_n15_e100007c92975588 +-- problem_id: v2p_n15_e2e373d41cd53f12 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "APLEZIER", SUM(CAST("MSKC" AS REAL)) AS group_value + FROM "n15" + WHERE "APLEZIER" IS NOT NULL + AND "MSKC" IS NOT NULL + GROUP BY "APLEZIER" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."APLEZIER", 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/n15/sql/v2q_n15_e5a0920fe48acb3c.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_e5a0920fe48acb3c.sql new file mode 100644 index 0000000000000000000000000000000000000000..4d9da68abd89bf6e1bdfafdc7a845205222224fa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_e5a0920fe48acb3c.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: n15 +-- 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_n15_e5a0920fe48acb3c +-- problem_id: v2p_n15_3da13e57b9b9dccb +-- realization_mode: agent +-- source_kind: agent +SELECT "MBERHOOG", COUNT(*) AS "row_count" +FROM "n15" +GROUP BY "MBERHOOG" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_e7dff5bb80c0a176.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_e7dff5bb80c0a176.sql new file mode 100644 index 0000000000000000000000000000000000000000..0a8e03e06a8a2e1b993dc82dae131f1f851b452e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_e7dff5bb80c0a176.sql @@ -0,0 +1,65 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: n15 +-- 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_n15_e7dff5bb80c0a176 +-- problem_id: v2p_n15_f550b610550e4067 +-- realization_mode: agent +-- source_kind: agent +WITH "ordered" AS ( + SELECT + "MGODRK", + CAST("MINK3045" AS REAL) AS "measure_value", + ROW_NUMBER() OVER ( + PARTITION BY "MGODRK" + ORDER BY CAST("MINK3045" AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "MGODRK" + ) AS "cnt" + FROM "n15" + WHERE "MINK3045" IS NOT NULL +), +"positions" AS ( + SELECT DISTINCT + "MGODRK", + "cnt", + (1.0 + 0.9 * ("cnt" - 1)) AS "pos", + CAST(1.0 + 0.9 * ("cnt" - 1) AS INTEGER) AS "lower_rn", + CASE + WHEN CAST(1.0 + 0.9 * ("cnt" - 1) AS INTEGER) = (1.0 + 0.9 * ("cnt" - 1)) + THEN CAST(1.0 + 0.9 * ("cnt" - 1) AS INTEGER) + ELSE CAST(1.0 + 0.9 * ("cnt" - 1) AS INTEGER) + 1 + END AS "upper_rn" + FROM "ordered" +), +"bounds" AS ( + SELECT + p."MGODRK", + p."pos", + p."lower_rn", + p."upper_rn", + MAX(CASE WHEN o."rn" = p."lower_rn" THEN o."measure_value" END) AS "lower_value", + MAX(CASE WHEN o."rn" = p."upper_rn" THEN o."measure_value" END) AS "upper_value" + FROM "positions" AS p + JOIN "ordered" AS o + ON o."MGODRK" = p."MGODRK" + GROUP BY + p."MGODRK", + p."pos", + p."lower_rn", + p."upper_rn" +) +SELECT + "MGODRK", + CASE + WHEN "lower_rn" = "upper_rn" THEN "lower_value" + ELSE "lower_value" + (("pos" - "lower_rn") * ("upper_value" - "lower_value")) + END AS "percentile_measure" +FROM "bounds" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_e8da0e694c83170f.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_e8da0e694c83170f.sql new file mode 100644 index 0000000000000000000000000000000000000000..6805db325e940349f623cd8f6eb16efa91174c0e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_e8da0e694c83170f.sql @@ -0,0 +1,68 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: n15 +-- 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_n15_e8da0e694c83170f +-- problem_id: v2p_n15_cf26931456e72a7e +-- realization_mode: agent +-- source_kind: agent +WITH "base" AS ( + SELECT + "MOSTYPE" AS "group_col", + CAST("MAUT2" AS REAL) AS "measure_col" + FROM "n15" + WHERE "ABYSTAND" = '1' + AND "MOSTYPE" IS NOT NULL + AND TRIM("MOSTYPE") <> '' + AND "MAUT2" IS NOT NULL + AND TRIM("MAUT2") <> '' +), +"ranked" AS ( + SELECT + "group_col", + "measure_col", + ROW_NUMBER() OVER ( + PARTITION BY "group_col" + ORDER BY "measure_col" + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "group_col" + ) AS "cnt" + FROM "base" +), +"params" AS ( + SELECT DISTINCT + "group_col", + "cnt", + CAST((100 + 95 * ("cnt" - 1)) / 100.0 AS INT) AS "lower_rn", + CAST((100 + 95 * ("cnt" - 1)) / 100.0 AS INT) + + CASE WHEN (100 + 95 * ("cnt" - 1)) % 100 = 0 THEN 0 ELSE 1 END AS "upper_rn", + ((100 + 95 * ("cnt" - 1)) / 100.0) + - CAST((100 + 95 * ("cnt" - 1)) / 100.0 AS INT) AS "frac" + FROM "ranked" + WHERE "cnt" >= 5 +), +"picked" AS ( + SELECT + "r"."group_col", + MAX(CASE WHEN "r"."rn" = "p"."lower_rn" THEN "r"."measure_col" END) AS "lower_val", + MAX(CASE WHEN "r"."rn" = "p"."upper_rn" THEN "r"."measure_col" END) AS "upper_val", + MAX("p"."frac") AS "frac" + FROM "ranked" AS "r" + INNER JOIN "params" AS "p" + ON "r"."group_col" = "p"."group_col" + GROUP BY "r"."group_col" +) +SELECT + "group_col" AS "MOSTYPE", + CASE + WHEN "upper_val" IS NULL THEN "lower_val" + ELSE "lower_val" + ("upper_val" - "lower_val") * "frac" + END AS "percentile_measure" +FROM "picked" +ORDER BY "percentile_measure" DESC, "MOSTYPE"; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_e97585a16f73f141.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_e97585a16f73f141.sql new file mode 100644 index 0000000000000000000000000000000000000000..730e9661686238faebc45c5bf8d8bd6a4ece33c9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_e97585a16f73f141.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: n15 +-- 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_n15_e97585a16f73f141 +-- problem_id: v2p_n15_c9aa23bdd14e3a55 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "MKOOPKLA", + SUM(CASE WHEN "ABRAND" = '1' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "ABRAND" = '0' THEN 1 ELSE 0 END) AS denominator_count + FROM "n15" + GROUP BY "MKOOPKLA" +) +SELECT "MKOOPKLA", + 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/n15/sql/v2q_n15_ea3851ef51514a16.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_ea3851ef51514a16.sql new file mode 100644 index 0000000000000000000000000000000000000000..c187a775af10a7033333f79d9d8ff89835f16f1a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_ea3851ef51514a16.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: n15 +-- 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_n15_ea3851ef51514a16 +-- problem_id: v2p_n15_de9d9505c9a7330f +-- realization_mode: agent +-- source_kind: agent +SELECT "MFGEKIND", COUNT(*) AS "row_count" +FROM "n15" +GROUP BY "MFGEKIND" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_eadcdb23baf38a82.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_eadcdb23baf38a82.sql new file mode 100644 index 0000000000000000000000000000000000000000..981fe53323f6343d3cfd2e141aa4700b92e2a114 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_eadcdb23baf38a82.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: n15 +-- 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_n15_eadcdb23baf38a82 +-- problem_id: v2p_n15_eadaa0fb1ddb733c +-- realization_mode: agent +-- source_kind: agent +SELECT "MBERZELF", COUNT(*) AS "row_count" +FROM "n15" +GROUP BY "MBERZELF" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_ee133c917cad01da.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_ee133c917cad01da.sql new file mode 100644 index 0000000000000000000000000000000000000000..da0b87fc2e393ed577dbcbd96e1e901da6d86b38 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_ee133c917cad01da.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: n15 +-- 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_n15_ee133c917cad01da +-- problem_id: v2p_n15_8fe71f5e9c347fa9 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "AWAOREG" AS value_label, COUNT(*) AS support + FROM "n15" + GROUP BY "AWAOREG" +), 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/n15/sql/v2q_n15_f047ca2e0f0c5788.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_f047ca2e0f0c5788.sql new file mode 100644 index 0000000000000000000000000000000000000000..37b5d2f2d6afe4781356ff325553b32f25bcb8d1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_f047ca2e0f0c5788.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: n15 +-- 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_n15_f047ca2e0f0c5788 +-- problem_id: v2p_n15_142554abbe72aaeb +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "ABRAND", SUM(CAST("MSKB1" AS REAL)) AS group_value + FROM "n15" + GROUP BY "ABRAND" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."ABRAND", 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/n15/sql/v2q_n15_f3012b93496ab168.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_f3012b93496ab168.sql new file mode 100644 index 0000000000000000000000000000000000000000..8fc6f7408726ab72994e0725143fc6c0ea9eac57 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_f3012b93496ab168.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: n15 +-- 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_n15_f3012b93496ab168 +-- problem_id: v2p_n15_bc48b3a6ec924c14 +-- realization_mode: agent +-- source_kind: agent +SELECT + "MHKOOP", + "MOSTYPE", + SUM(CAST("MHKOOP" AS REAL)) AS total_measure, + SUM(CAST("MHKOOP" AS REAL)) * 100.0 / NULLIF(SUM(SUM(CAST("MHKOOP" AS REAL))) OVER (PARTITION BY "MHKOOP"), 0) AS share_within_group +FROM "n15" +GROUP BY "MHKOOP", "MOSTYPE" +ORDER BY share_within_group DESC +LIMIT 15; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_f392c9b4d66a2bc2.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_f392c9b4d66a2bc2.sql new file mode 100644 index 0000000000000000000000000000000000000000..e75339934e0d83eda50cb6483b4e4c4aa468b2e8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_f392c9b4d66a2bc2.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: n15 +-- 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_n15_f392c9b4d66a2bc2 +-- problem_id: v2p_n15_4460028f179209ad +-- realization_mode: agent +-- source_kind: agent +SELECT "MGODGE", SUM(CAST("MGODGE" AS NUMERIC)) AS "total_measure" +FROM "n15" +GROUP BY "MGODGE" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_f3f8c01036aa84b6.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_f3f8c01036aa84b6.sql new file mode 100644 index 0000000000000000000000000000000000000000..373f9679a8858a4025c868629ae31dfd191f70b0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_f3f8c01036aa84b6.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: n15 +-- 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_n15_f3f8c01036aa84b6 +-- problem_id: v2p_n15_e250db6555339d25 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "MGODOV" AS value_label, COUNT(*) AS support + FROM "n15" + GROUP BY "MGODOV" +) +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/n15/sql/v2q_n15_f7168f6e29d8f7f8.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_f7168f6e29d8f7f8.sql new file mode 100644 index 0000000000000000000000000000000000000000..22f2b171642e0842827afe6d68e2fa190b581922 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_f7168f6e29d8f7f8.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: n15 +-- 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_n15_f7168f6e29d8f7f8 +-- problem_id: v2p_n15_013e2c2f2eb35e5c +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "MBERMIDD" AS value_label, COUNT(*) AS support + FROM "n15" + GROUP BY "MBERMIDD" +) +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/n15/sql/v2q_n15_fb43419e131325dc.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_fb43419e131325dc.sql new file mode 100644 index 0000000000000000000000000000000000000000..a12f50143f976ff41f3f0264446ed4bedcfb74d9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_fb43419e131325dc.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: n15 +-- 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_n15_fb43419e131325dc +-- problem_id: v2p_n15_d81e2394503c9e9e +-- realization_mode: agent +-- source_kind: agent +SELECT "MOPLHOOG", + AVG(CASE WHEN "MRELSA" = '2' THEN 1.0 ELSE 0.0 END) AS condition_rate +FROM "n15" +GROUP BY "MOPLHOOG" +ORDER BY condition_rate DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_fbd989d3533dfbf3.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_fbd989d3533dfbf3.sql new file mode 100644 index 0000000000000000000000000000000000000000..24f34b74fafa30742d563e172e11738aa7a0b83a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_fbd989d3533dfbf3.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: n15 +-- 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_n15_fbd989d3533dfbf3 +-- problem_id: v2p_n15_06487f6eb434f51d +-- realization_mode: agent +-- source_kind: agent +SELECT + "MSKB1", + "MOSTYPE", + SUM(CAST("MSKB1" AS REAL)) AS total_measure, + SUM(CAST("MSKB1" AS REAL)) * 100.0 / NULLIF(SUM(SUM(CAST("MSKB1" AS REAL))) OVER (PARTITION BY "MSKB1"), 0) AS share_within_group +FROM "n15" +GROUP BY "MSKB1", "MOSTYPE" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_fc11624c9a152161.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_fc11624c9a152161.sql new file mode 100644 index 0000000000000000000000000000000000000000..d41f59a90bc29528b7f51bc198d93d626ccc5eaf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_fc11624c9a152161.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: n15 +-- 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_n15_fc11624c9a152161 +-- problem_id: v2p_n15_1bf9d0e5123a67e7 +-- realization_mode: agent +-- source_kind: agent +SELECT + "MOSTYPE", + "PTRACTOR", + COUNT(*) AS "row_count" +FROM "n15" +WHERE "PAANHANG" = '0' +GROUP BY "MOSTYPE", "PTRACTOR" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_fc8319ecef6e52de.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_fc8319ecef6e52de.sql new file mode 100644 index 0000000000000000000000000000000000000000..ca77ea9e70dfe86b596507266583d73b084b15b6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_fc8319ecef6e52de.sql @@ -0,0 +1,40 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: n15 +-- 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_n15_fc8319ecef6e52de +-- problem_id: v2p_n15_5723af16183d2776 +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "MGEMLEEF", + CAST("MZPART" AS REAL) AS "measure_value", + ROW_NUMBER() OVER ( + PARTITION BY "MGEMLEEF" + ORDER BY CAST("MZPART" AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "MGEMLEEF" + ) AS "cnt" + FROM "n15" + WHERE "MGEMLEEF" IS NOT NULL + AND "MZPART" IS NOT NULL +), +"percentile_pick" AS ( + SELECT + "MGEMLEEF", + "measure_value" + FROM "ranked" + WHERE "rn" = CAST(CEIL(0.9 * "cnt") AS INTEGER) +) +SELECT + "MGEMLEEF", + "measure_value" AS "percentile_measure" +FROM "percentile_pick" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_fdb6620e83182e7a.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_fdb6620e83182e7a.sql new file mode 100644 index 0000000000000000000000000000000000000000..c172260a695e78a1df51b5e36a3a1c4d75dfb77d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/n15/sql/v2q_n15_fdb6620e83182e7a.sql @@ -0,0 +1,60 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: n15 +-- 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_n15_fdb6620e83182e7a +-- problem_id: v2p_n15_c71aca97475a259a +-- realization_mode: agent +-- source_kind: agent +WITH "ordered" AS ( + SELECT + "CARAVAN", + CAST("MAUT1" AS REAL) AS "measure_value", + ROW_NUMBER() OVER ( + PARTITION BY "CARAVAN" + ORDER BY CAST("MAUT1" AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "CARAVAN" + ) AS "cnt" + FROM "n15" + WHERE "CARAVAN" IS NOT NULL + AND "MAUT1" IS NOT NULL +), +"positions" AS ( + SELECT + "CARAVAN", + (1.0 + 0.95 * ("cnt" - 1)) AS "target_pos", + CAST(FLOOR(1.0 + 0.95 * ("cnt" - 1)) AS INTEGER) AS "lower_rn", + CAST(CEIL(1.0 + 0.95 * ("cnt" - 1)) AS INTEGER) AS "upper_rn", + "cnt" + FROM "ordered" + GROUP BY "CARAVAN", "cnt" +), +"picked" AS ( + SELECT + o."CARAVAN", + p."target_pos", + p."lower_rn", + p."upper_rn", + MAX(CASE WHEN o."rn" = p."lower_rn" THEN o."measure_value" END) AS "lower_value", + MAX(CASE WHEN o."rn" = p."upper_rn" THEN o."measure_value" END) AS "upper_value" + FROM "ordered" AS o + JOIN "positions" AS p + ON o."CARAVAN" = p."CARAVAN" + WHERE o."rn" IN (p."lower_rn", p."upper_rn") + GROUP BY o."CARAVAN", p."target_pos", p."lower_rn", p."upper_rn" +) +SELECT + "CARAVAN", + CASE + WHEN "lower_rn" = "upper_rn" THEN "lower_value" + ELSE "lower_value" + (("target_pos" - "lower_rn") * ("upper_value" - "lower_value")) + END AS "percentile_measure" +FROM "picked" +ORDER BY "percentile_measure" DESC;