diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_020e0a2a5441efb1/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_020e0a2a5441efb1/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b4eaf053b30c0781f10f89f920dc7062cdc94ab6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_020e0a2a5441efb1/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11858, "bytes_utf8": 11858, "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": 527, "bytes_utf8": 527, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15961, "cached_input_tokens": 14720, "output_tokens": 521, "reasoning_output_tokens": 370}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_020e0a2a5441efb1/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_020e0a2a5441efb1/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a4e83ee8f0b4df51ab2ef419ee328591cf33f8e4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_020e0a2a5441efb1/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_020e0a2a5441efb1", + "api_calls": 0, + "input_tokens": 15961, + "cached_input_tokens": 14720, + "output_tokens": 521, + "total_tokens": 16482, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15925.65, + "sql_execution_elapsed_ms_total": 403.47, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_020e0a2a5441efb1/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_020e0a2a5441efb1/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_020e0a2a5441efb1/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..5ec1efb4b692048016630060423e4ed9b626e140 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_020e0a2a5441efb1/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:45:35.383369+00:00", + "ended_at": "2026-05-19T15:45:51.309038+00:00", + "elapsed_ms": 15925.65, + "prompt_metrics": { + "chars": 11858, + "bytes_utf8": 11858, + "lines": 394, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1223, + "bytes_utf8": 1223, + "lines": 5, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 527, + "bytes_utf8": 527, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15961, + "cached_input_tokens": 14720, + "output_tokens": 521, + "reasoning_output_tokens": 370 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_020e0a2a5441efb1/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_020e0a2a5441efb1/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..46191ecb390bc9ed93bd0ae0d736a3c076925db4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_020e0a2a5441efb1/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "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": 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 buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_020e0a2a5441efb1/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_020e0a2a5441efb1/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..da0fe424889e8d7beb5769635f7494b53b994b20 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_020e0a2a5441efb1/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,5 @@ +{"type":"thread.started","thread_id":"019e40e9-f7a5-70a1-a8c9-f72c59338905"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 16596. Please try again in 497ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n SELECT \\\"ord_0\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"ord_0\\\" AS INTEGER) DESC) AS tail_bucket\\n FROM \\\"c14\\\"\\n)\\nSELECT \\\"ord_0\\\"\\nFROM buckets\\nWHERE tail_bucket = 1\\nORDER BY CAST(\\\"ord_0\\\" AS INTEGER) DESC;\",\"notes\":\"Used the planned Quantile Tail Slice template with measure_col bound to \\\"ord_0\\\" and num_tiles=10. CAST to INTEGER is applied for correct numeric tail ordering because \\\"ord_0\\\" is stored as TEXT in the SQLite schema.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15961,"cached_input_tokens":14720,"output_tokens":521,"reasoning_output_tokens":370}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_020e0a2a5441efb1/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_020e0a2a5441efb1/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..31942d99a3844a6eba385e5009e3ea66bdefa57b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_020e0a2a5441efb1/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 INTEGER) DESC) AS tail_bucket\n FROM \"c14\"\n)\nSELECT \"ord_0\"\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY CAST(\"ord_0\" AS INTEGER) DESC;","notes":"Used the planned Quantile Tail Slice template with measure_col bound to \"ord_0\" and num_tiles=10. CAST to INTEGER is applied for correct numeric tail ordering because \"ord_0\" is stored as TEXT in the SQLite schema."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_020e0a2a5441efb1/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_020e0a2a5441efb1/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_07a800fb6dea0c53/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_07a800fb6dea0c53/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1dafedcdf6fd0866ca54f19b3094c1392c05c723 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_07a800fb6dea0c53/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": "2026-05-19T16:06:17.124402+00:00", + "ended_at": "2026-05-19T16:06:20.105880+00:00", + "elapsed_ms": 2981.44, + "returncode": 1, + "prompt_metrics": { + "chars": 11948, + "bytes_utf8": 11948, + "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_d/c14/artifacts/v2q_c14_07a800fb6dea0c53/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_07a800fb6dea0c53/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b4acc20a33dc1f8b6869d23b5d8f113a824e2577 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_07a800fb6dea0c53/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": "2026-05-19T16:06:21.108332+00:00", + "ended_at": "2026-05-19T16:06:24.480195+00:00", + "elapsed_ms": 3371.82, + "returncode": 1, + "prompt_metrics": { + "chars": 11948, + "bytes_utf8": 11948, + "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_d/c14/artifacts/v2q_c14_07a800fb6dea0c53/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_07a800fb6dea0c53/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..de50e62af66743224f264275a52a5c98e8b568fa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_07a800fb6dea0c53/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "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": "Grandmaster", + "positive_value": "Grandmaster", + "negative_value": "Contributor", + "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": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_07a800fb6dea0c53/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_07a800fb6dea0c53/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..de50e62af66743224f264275a52a5c98e8b568fa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_07a800fb6dea0c53/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "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": "Grandmaster", + "positive_value": "Grandmaster", + "negative_value": "Contributor", + "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": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_07a800fb6dea0c53/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_07a800fb6dea0c53/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..4a0a5098c5ac458f1afa5ac852a7e0f1662019bd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_07a800fb6dea0c53/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-ea20-7500-960d-e8d8c0657793"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_07a800fb6dea0c53/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_07a800fb6dea0c53/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d5710262dc7978335c9faa2e8ef12fb4b080d17a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_07a800fb6dea0c53/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-ea20-7500-960d-e8d8c0657793"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_07a800fb6dea0c53/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_07a800fb6dea0c53/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..0684f85bb74e3dab78056097f0533ceffb2f9e17 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_07a800fb6dea0c53/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-f9b7-7053-8a49-879c9ee82008"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_07a800fb6dea0c53/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_07a800fb6dea0c53/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..d9725fd646f95d2fcce7c66470bc5d656fb59c6b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_07a800fb6dea0c53/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-f9b7-7053-8a49-879c9ee82008"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_07a800fb6dea0c53/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_07a800fb6dea0c53/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_07a800fb6dea0c53/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_07a800fb6dea0c53/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0fcdf90112f27537/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0fcdf90112f27537/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e5b8b6b3c9a47cc7820d88493f5b5381eadf8927 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0fcdf90112f27537/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": "2026-05-19T16:06:58.480065+00:00", + "ended_at": "2026-05-19T16:07:01.520528+00:00", + "elapsed_ms": 3040.43, + "returncode": 1, + "prompt_metrics": { + "chars": 11921, + "bytes_utf8": 11921, + "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_d/c14/artifacts/v2q_c14_0fcdf90112f27537/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0fcdf90112f27537/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1225317fb3e5e6b2070eeca97dc823cf921c896b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0fcdf90112f27537/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": "2026-05-19T16:07:02.522102+00:00", + "ended_at": "2026-05-19T16:07:05.317115+00:00", + "elapsed_ms": 2794.98, + "returncode": 1, + "prompt_metrics": { + "chars": 11921, + "bytes_utf8": 11921, + "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_d/c14/artifacts/v2q_c14_0fcdf90112f27537/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0fcdf90112f27537/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5adc8d09551c492e4d0f8d23324d35130b4e905e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0fcdf90112f27537/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "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": "2", + "positive_value": "1", + "negative_value": "2", + "top_k": 18, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 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_d/c14/artifacts/v2q_c14_0fcdf90112f27537/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0fcdf90112f27537/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..5adc8d09551c492e4d0f8d23324d35130b4e905e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0fcdf90112f27537/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "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": "2", + "positive_value": "1", + "negative_value": "2", + "top_k": 18, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 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_d/c14/artifacts/v2q_c14_0fcdf90112f27537/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0fcdf90112f27537/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..35fd27aa9a1cfa35c32c7bc4154d8c429b07eff5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0fcdf90112f27537/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-8baf-76f3-b641-af32d03b54c6"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0fcdf90112f27537/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0fcdf90112f27537/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..19783a0759f814a9df723d873eae5776beb9202a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0fcdf90112f27537/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-8baf-76f3-b641-af32d03b54c6"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0fcdf90112f27537/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0fcdf90112f27537/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f3a826b40f6141870dbe231c1373b565a19ed7a3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0fcdf90112f27537/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-9b8a-7da0-934d-8b2f9a49d4dd"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0fcdf90112f27537/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0fcdf90112f27537/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..36bf8c317f2f58dc9d840839918550b72851adee --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0fcdf90112f27537/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-9b8a-7da0-934d-8b2f9a49d4dd"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0fcdf90112f27537/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0fcdf90112f27537/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0fcdf90112f27537/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0fcdf90112f27537/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1067b4904090010b/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1067b4904090010b/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ffc40e9c53274b1af4538d97144b0fb6f52792c3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1067b4904090010b/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12086, "bytes_utf8": 12086, "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": 579, "bytes_utf8": 579, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16025, "cached_input_tokens": 14720, "output_tokens": 695, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1067b4904090010b/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1067b4904090010b/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..0afeaf430d251e79f8e917fe59d9a7ac1c7b98c8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1067b4904090010b/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_1067b4904090010b", + "api_calls": 0, + "input_tokens": 16025, + "cached_input_tokens": 14720, + "output_tokens": 695, + "total_tokens": 16720, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13305.46, + "sql_execution_elapsed_ms_total": 405.91, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1067b4904090010b/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1067b4904090010b/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1067b4904090010b/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a96489a77bb30c9fc19f20097588ba442968186a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1067b4904090010b/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:36:50.363064+00:00", + "ended_at": "2026-05-19T15:37:03.668553+00:00", + "elapsed_ms": 13305.46, + "prompt_metrics": { + "chars": 12086, + "bytes_utf8": 12086, + "lines": 398, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 966, + "bytes_utf8": 966, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 579, + "bytes_utf8": 579, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16025, + "cached_input_tokens": 14720, + "output_tokens": 695, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1067b4904090010b/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1067b4904090010b/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ec229d71638df91a4fc9999bf3d1ed300c131f11 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1067b4904090010b/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "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": 150351.84, + "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_d/c14/artifacts/v2q_c14_1067b4904090010b/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1067b4904090010b/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f9dcab0d3f5922ab3550e486f6e1ed998bf5220a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1067b4904090010b/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e1-f4cc-7e30-8b04-d4b0c31fcc7d"} +{"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 INTEGER)) AS total_measure,\\n SUM(CAST(\\\"id\\\" AS INTEGER)) * 100.0 / SUM(SUM(CAST(\\\"id\\\" AS INTEGER))) OVER (PARTITION BY \\\"ord_0\\\") AS share_within_group\\nFROM \\\"c14\\\"\\nGROUP BY \\\"ord_0\\\", \\\"nom_9\\\"\\nORDER BY share_within_group DESC\\nLIMIT 18;\",\"notes\":\"Used the planned template with group_col=\\\"ord_0\\\", item_col=\\\"nom_9\\\", and measure_col=\\\"id\\\". Cast \\\"id\\\" to INTEGER because it is stored as TEXT in the SQLite schema but represents numeric identifier values.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16025,"cached_input_tokens":14720,"output_tokens":695,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1067b4904090010b/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1067b4904090010b/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..bc9cd9bc9b7778e8722fc90899a3fb0878fbb1af --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1067b4904090010b/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 INTEGER)) AS total_measure,\n SUM(CAST(\"id\" AS INTEGER)) * 100.0 / SUM(SUM(CAST(\"id\" AS INTEGER))) OVER (PARTITION BY \"ord_0\") AS share_within_group\nFROM \"c14\"\nGROUP BY \"ord_0\", \"nom_9\"\nORDER BY share_within_group DESC\nLIMIT 18;","notes":"Used the planned template with group_col=\"ord_0\", item_col=\"nom_9\", and measure_col=\"id\". Cast \"id\" to INTEGER because it is stored as TEXT in the SQLite schema but represents numeric identifier values."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1067b4904090010b/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1067b4904090010b/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_119b90b4149dcde9/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_119b90b4149dcde9/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0793ad67a1b44efc0a85f7fd89f42982a30057d3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_119b90b4149dcde9/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12086, "bytes_utf8": 12086, "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": 549, "bytes_utf8": 549, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16025, "cached_input_tokens": 14720, "output_tokens": 694, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_119b90b4149dcde9/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_119b90b4149dcde9/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..9946f927dca6fae84b1ab9bb3b1c111cd78998d2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_119b90b4149dcde9/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_119b90b4149dcde9", + "api_calls": 0, + "input_tokens": 16025, + "cached_input_tokens": 14720, + "output_tokens": 694, + "total_tokens": 16719, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15903.89, + "sql_execution_elapsed_ms_total": 323.35, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_119b90b4149dcde9/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_119b90b4149dcde9/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_119b90b4149dcde9/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..8953329d1d18508df86efcdf9665efb6c21bf975 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_119b90b4149dcde9/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": "2026-05-19T15:38:46.201752+00:00", + "ended_at": "2026-05-19T15:39:02.105664+00:00", + "elapsed_ms": 15903.89, + "prompt_metrics": { + "chars": 12086, + "bytes_utf8": 12086, + "lines": 398, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 935, + "bytes_utf8": 935, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 549, + "bytes_utf8": 549, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16025, + "cached_input_tokens": 14720, + "output_tokens": 694, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_119b90b4149dcde9/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_119b90b4149dcde9/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4740b6ccaebd3b4aa104d034f188ce6b862147cc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_119b90b4149dcde9/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=ord_4, measure_col=id.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "ord_4", + "measure_col": "id", + "item_col": "nom_5", + "top_k": 17, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 150351.84, + "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_d/c14/artifacts/v2q_c14_119b90b4149dcde9/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_119b90b4149dcde9/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..eeac2803a7502353cb220cc0e61318502e0960ca --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_119b90b4149dcde9/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e3-b95c-7ce1-89a5-93ce0166a012"} +{"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_4\\\",\\n \\\"nom_5\\\",\\n SUM(CAST(\\\"id\\\" AS NUMERIC)) AS total_measure,\\n SUM(CAST(\\\"id\\\" AS NUMERIC)) * 100.0 / SUM(SUM(CAST(\\\"id\\\" AS NUMERIC))) OVER (PARTITION BY \\\"ord_4\\\") AS share_within_group\\nFROM \\\"c14\\\"\\nGROUP BY \\\"ord_4\\\", \\\"nom_5\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the planned template with group_col=\\\"ord_4\\\", item_col=\\\"nom_5\\\", and measure_col=\\\"id\\\". Cast \\\"id\\\" to NUMERIC because it is stored as TEXT in the SQLite schema but used in SUM().\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16025,"cached_input_tokens":14720,"output_tokens":694,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_119b90b4149dcde9/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_119b90b4149dcde9/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3c363e4b5310a7b78baceec90b0750dcc0c6de84 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_119b90b4149dcde9/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"ord_4\",\n \"nom_5\",\n SUM(CAST(\"id\" AS NUMERIC)) AS total_measure,\n SUM(CAST(\"id\" AS NUMERIC)) * 100.0 / SUM(SUM(CAST(\"id\" AS NUMERIC))) OVER (PARTITION BY \"ord_4\") AS share_within_group\nFROM \"c14\"\nGROUP BY \"ord_4\", \"nom_5\"\nORDER BY share_within_group DESC;","notes":"Applied the planned template with group_col=\"ord_4\", item_col=\"nom_5\", and measure_col=\"id\". Cast \"id\" to NUMERIC because it is stored as TEXT in the SQLite schema but used in SUM()."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_119b90b4149dcde9/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_119b90b4149dcde9/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_11fe2ec9113dbbdb/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_11fe2ec9113dbbdb/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0ec57ddab7b4f863bf5c5c971321e6bfd197a03d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_11fe2ec9113dbbdb/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11859, "bytes_utf8": 11859, "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": 1785, "bytes_utf8": 1785, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15948, "cached_input_tokens": 14720, "output_tokens": 4035, "reasoning_output_tokens": 3401}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_11fe2ec9113dbbdb/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_11fe2ec9113dbbdb/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..877122003943f174939b682671b00f9c50dfe62e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_11fe2ec9113dbbdb/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_11fe2ec9113dbbdb", + "api_calls": 0, + "input_tokens": 15948, + "cached_input_tokens": 14720, + "output_tokens": 4035, + "total_tokens": 19983, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 56980.11, + "sql_execution_elapsed_ms_total": 909.81, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_11fe2ec9113dbbdb/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_11fe2ec9113dbbdb/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_11fe2ec9113dbbdb/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c527a5cef6b6e7e46510c2ebbd1aaa29e7ba8597 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_11fe2ec9113dbbdb/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:53:34.408854+00:00", + "ended_at": "2026-05-19T15:54:31.389028+00:00", + "elapsed_ms": 56980.11, + "prompt_metrics": { + "chars": 11859, + "bytes_utf8": 11859, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2385, + "bytes_utf8": 2385, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 1785, + "bytes_utf8": 1785, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15948, + "cached_input_tokens": 14720, + "output_tokens": 4035, + "reasoning_output_tokens": 3401 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_11fe2ec9113dbbdb/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_11fe2ec9113dbbdb/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..df94f781b6ec628cb540663b8216d2ed16bca7a3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_11fe2ec9113dbbdb/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=ord_3, measure_col=ord_0.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "ord_3", + "measure_col": "ord_0", + "top_k": 10, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 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 PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_11fe2ec9113dbbdb/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_11fe2ec9113dbbdb/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..48cd45d0705697d2dc4208712f73ad201bcfac6f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_11fe2ec9113dbbdb/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f1-46c4-72a0-b370-95d502f9ac16"} +{"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 \\\"ord_3\\\" AS \\\"group_col\\\",\\n CAST(\\\"ord_0\\\" AS REAL) AS \\\"measure\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"ord_3\\\"\\n ORDER BY CAST(\\\"ord_0\\\" AS REAL)\\n ) AS \\\"rn\\\"\\n FROM \\\"c14\\\"\\n WHERE \\\"ord_3\\\" IS NOT NULL\\n AND \\\"ord_0\\\" IS NOT NULL\\n),\\n\\\"params\\\" AS (\\n SELECT\\n \\\"group_col\\\",\\n COUNT(*) AS \\\"n\\\",\\n 1.0 + 0.9 * (COUNT(*) - 1) AS \\\"pos\\\",\\n CAST(1.0 + 0.9 * (COUNT(*) - 1) AS INTEGER) AS \\\"lower_rn\\\",\\n CASE\\n WHEN (1.0 + 0.9 * (COUNT(*) - 1)) > CAST(1.0 + 0.9 * (COUNT(*) - 1) AS INTEGER)\\n THEN CAST(1.0 + 0.9 * (COUNT(*) - 1) AS INTEGER) + 1\\n ELSE CAST(1.0 + 0.9 * (COUNT(*) - 1) AS INTEGER)\\n END AS \\\"upper_rn\\\"\\n FROM \\\"ordered\\\"\\n GROUP BY \\\"group_col\\\"\\n HAVING COUNT(*) >= 5\\n),\\n\\\"bounds\\\" AS (\\n SELECT\\n p.\\\"group_col\\\",\\n p.\\\"pos\\\",\\n p.\\\"lower_rn\\\",\\n p.\\\"upper_rn\\\",\\n MAX(CASE WHEN o.\\\"rn\\\" = p.\\\"lower_rn\\\" THEN o.\\\"measure\\\" END) AS \\\"lower_val\\\",\\n MAX(CASE WHEN o.\\\"rn\\\" = p.\\\"upper_rn\\\" THEN o.\\\"measure\\\" END) AS \\\"upper_val\\\"\\n FROM \\\"params\\\" AS p\\n JOIN \\\"ordered\\\" AS o\\n ON o.\\\"group_col\\\" = p.\\\"group_col\\\"\\n GROUP BY\\n p.\\\"group_col\\\",\\n p.\\\"pos\\\",\\n p.\\\"lower_rn\\\",\\n p.\\\"upper_rn\\\"\\n)\\nSELECT\\n \\\"group_col\\\" AS \\\"ord_3\\\",\\n CASE\\n WHEN \\\"lower_rn\\\" = \\\"upper_rn\\\" THEN \\\"lower_val\\\"\\n ELSE \\\"lower_val\\\" + (\\\"pos\\\" - \\\"lower_rn\\\") * (\\\"upper_val\\\" - \\\"lower_val\\\")\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"bounds\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"Emulates SQLite-incompatible PERCENTILE_CONT(0.9) with window functions, grouped by \\\"ord_3\\\", casting text-stored \\\"ord_0\\\" to REAL, and keeps only groups with at least 5 rows.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15948,"cached_input_tokens":14720,"output_tokens":4035,"reasoning_output_tokens":3401}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_11fe2ec9113dbbdb/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_11fe2ec9113dbbdb/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6e8db2a652657d30eb41fd921a37ff78f677d5ad --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_11fe2ec9113dbbdb/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ordered\" AS (\n SELECT\n \"ord_3\" AS \"group_col\",\n CAST(\"ord_0\" AS REAL) AS \"measure\",\n ROW_NUMBER() OVER (\n PARTITION BY \"ord_3\"\n ORDER BY CAST(\"ord_0\" AS REAL)\n ) AS \"rn\"\n FROM \"c14\"\n WHERE \"ord_3\" IS NOT NULL\n AND \"ord_0\" IS NOT NULL\n),\n\"params\" AS (\n SELECT\n \"group_col\",\n COUNT(*) AS \"n\",\n 1.0 + 0.9 * (COUNT(*) - 1) AS \"pos\",\n CAST(1.0 + 0.9 * (COUNT(*) - 1) AS INTEGER) AS \"lower_rn\",\n CASE\n WHEN (1.0 + 0.9 * (COUNT(*) - 1)) > CAST(1.0 + 0.9 * (COUNT(*) - 1) AS INTEGER)\n THEN CAST(1.0 + 0.9 * (COUNT(*) - 1) AS INTEGER) + 1\n ELSE CAST(1.0 + 0.9 * (COUNT(*) - 1) AS INTEGER)\n END AS \"upper_rn\"\n FROM \"ordered\"\n GROUP BY \"group_col\"\n HAVING COUNT(*) >= 5\n),\n\"bounds\" AS (\n SELECT\n p.\"group_col\",\n p.\"pos\",\n p.\"lower_rn\",\n p.\"upper_rn\",\n MAX(CASE WHEN o.\"rn\" = p.\"lower_rn\" THEN o.\"measure\" END) AS \"lower_val\",\n MAX(CASE WHEN o.\"rn\" = p.\"upper_rn\" THEN o.\"measure\" END) AS \"upper_val\"\n FROM \"params\" AS p\n JOIN \"ordered\" AS o\n ON o.\"group_col\" = p.\"group_col\"\n GROUP BY\n p.\"group_col\",\n p.\"pos\",\n p.\"lower_rn\",\n p.\"upper_rn\"\n)\nSELECT\n \"group_col\" AS \"ord_3\",\n CASE\n WHEN \"lower_rn\" = \"upper_rn\" THEN \"lower_val\"\n ELSE \"lower_val\" + (\"pos\" - \"lower_rn\") * (\"upper_val\" - \"lower_val\")\n END AS \"percentile_measure\"\nFROM \"bounds\"\nORDER BY \"percentile_measure\" DESC;","notes":"Emulates SQLite-incompatible PERCENTILE_CONT(0.9) with window functions, grouped by \"ord_3\", casting text-stored \"ord_0\" to REAL, and keeps only groups with at least 5 rows."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_11fe2ec9113dbbdb/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_11fe2ec9113dbbdb/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_12843844aacf57af/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_12843844aacf57af/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c31be29f82f746d8fa6ccf4cddcb649cdb6ccd5f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_12843844aacf57af/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": "2026-05-19T16:09:46.773539+00:00", + "ended_at": "2026-05-19T16:09:50.036706+00:00", + "elapsed_ms": 3263.13, + "returncode": 1, + "prompt_metrics": { + "chars": 11684, + "bytes_utf8": 11684, + "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_d/c14/artifacts/v2q_c14_12843844aacf57af/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_12843844aacf57af/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..061b2ae77b166dfb688291a561a37f23782226e7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_12843844aacf57af/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:09:51.038436+00:00", + "ended_at": "2026-05-19T16:09:54.239236+00:00", + "elapsed_ms": 3200.76, + "returncode": 1, + "prompt_metrics": { + "chars": 11684, + "bytes_utf8": 11684, + "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_d/c14/artifacts/v2q_c14_12843844aacf57af/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_12843844aacf57af/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f4b88a7f8728290a15285d682985f30ddecc4691 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_12843844aacf57af/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role count_distribution. Focus on group_col=month.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "month", + "top_k": 19, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 172611.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_12843844aacf57af/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_12843844aacf57af/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..f4b88a7f8728290a15285d682985f30ddecc4691 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_12843844aacf57af/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role count_distribution. Focus on group_col=month.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "month", + "top_k": 19, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 172611.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_12843844aacf57af/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_12843844aacf57af/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..fb2ac7b314d9c752ff9c61c20de59b2b4e39cc29 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_12843844aacf57af/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-1d1c-7c23-8e40-9807e897fdac"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_12843844aacf57af/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_12843844aacf57af/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d56ae921164ea30f1453a191fee5419d932731d5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_12843844aacf57af/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-1d1c-7c23-8e40-9807e897fdac"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_12843844aacf57af/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_12843844aacf57af/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..11e6c69ded88709b9d5ffee223a7162730317019 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_12843844aacf57af/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-2dbb-7282-85b0-f144a9bda269"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_12843844aacf57af/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_12843844aacf57af/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..3446cbaf03fc27f5a9bd9068f88a0d85e720ac22 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_12843844aacf57af/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-2dbb-7282-85b0-f144a9bda269"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_12843844aacf57af/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_12843844aacf57af/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_12843844aacf57af/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_12843844aacf57af/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1862c869c4ce39dc/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1862c869c4ce39dc/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4f278617471c4495ce5b2dbd3b7880031adc726f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1862c869c4ce39dc/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11597, "bytes_utf8": 11597, "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": 275, "bytes_utf8": 275, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15881, "cached_input_tokens": 12032, "output_tokens": 209, "reasoning_output_tokens": 125}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1862c869c4ce39dc/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1862c869c4ce39dc/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..0bb1cc3fabc9dfd775d824fd841438a7f6058c30 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1862c869c4ce39dc/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_1862c869c4ce39dc", + "api_calls": 0, + "input_tokens": 15881, + "cached_input_tokens": 12032, + "output_tokens": 209, + "total_tokens": 16090, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11246.57, + "sql_execution_elapsed_ms_total": 160.2, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1862c869c4ce39dc/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1862c869c4ce39dc/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1862c869c4ce39dc/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..fbac83f4c547c4d6487710fe21f66888e18f9761 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1862c869c4ce39dc/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": "2026-05-19T15:33:33.625789+00:00", + "ended_at": "2026-05-19T15:33:44.872396+00:00", + "elapsed_ms": 11246.57, + "prompt_metrics": { + "chars": 11597, + "bytes_utf8": 11597, + "lines": 394, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 633, + "bytes_utf8": 633, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 275, + "bytes_utf8": 275, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15881, + "cached_input_tokens": 12032, + "output_tokens": 209, + "reasoning_output_tokens": 125 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1862c869c4ce39dc/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1862c869c4ce39dc/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..55b0794c4d46ae69f3e8914aba8fa1db7d82eb90 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1862c869c4ce39dc/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "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": 9.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1862c869c4ce39dc/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1862c869c4ce39dc/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..94df28e59ac3df1049b8ad2e238774486f9492de --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1862c869c4ce39dc/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40de-f427-7a03-ba95-caaceed97615"} +{"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 \\\"c14\\\"\\nGROUP BY \\\"bin_1\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Uses the provided grouped-count template with group_col bound to \\\"bin_1\\\" on the single table \\\"c14\\\".\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15881,"cached_input_tokens":12032,"output_tokens":209,"reasoning_output_tokens":125}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1862c869c4ce39dc/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1862c869c4ce39dc/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c550f8de690528c17a66c80e018176859581b104 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1862c869c4ce39dc/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_clickbench_group_count\nSELECT \"bin_1\", COUNT(*) AS \"row_count\"\nFROM \"c14\"\nGROUP BY \"bin_1\"\nORDER BY \"row_count\" DESC;","notes":"Uses the provided grouped-count template with group_col bound to \"bin_1\" on the single table \"c14\"."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1862c869c4ce39dc/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1862c869c4ce39dc/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_18668e35a84095b4/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_18668e35a84095b4/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8017aaa7871239b1ec70f2c2b8ef0f3aeb9bed08 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_18668e35a84095b4/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12088, "bytes_utf8": 12088, "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": 739, "bytes_utf8": 739, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16026, "cached_input_tokens": 12032, "output_tokens": 2380, "reasoning_output_tokens": 2144}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_18668e35a84095b4/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_18668e35a84095b4/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..cc037fdf7ca9f6d082c2d6e6a615902c9519cef5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_18668e35a84095b4/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_18668e35a84095b4", + "api_calls": 0, + "input_tokens": 16026, + "cached_input_tokens": 12032, + "output_tokens": 2380, + "total_tokens": 18406, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 50944.4, + "sql_execution_elapsed_ms_total": 315.22, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_18668e35a84095b4/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_18668e35a84095b4/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_18668e35a84095b4/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7fec2f51efd392658dc57690d1e4e78cb525c288 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_18668e35a84095b4/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:33:45.051664+00:00", + "ended_at": "2026-05-19T15:34:35.996106+00:00", + "elapsed_ms": 50944.4, + "prompt_metrics": { + "chars": 12088, + "bytes_utf8": 12088, + "lines": 398, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1519, + "bytes_utf8": 1519, + "lines": 5, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 739, + "bytes_utf8": 739, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16026, + "cached_input_tokens": 12032, + "output_tokens": 2380, + "reasoning_output_tokens": 2144 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_18668e35a84095b4/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_18668e35a84095b4/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..01e6b94b9dac08225b66cb7d4bb45ca188b44653 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_18668e35a84095b4/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "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=id.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "nom_1", + "measure_col": "id", + "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": 172611.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_18668e35a84095b4/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_18668e35a84095b4/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f3b30889c97bc0f8173c72dfe01c0f85a6bf8845 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_18668e35a84095b4/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,5 @@ +{"type":"thread.started","thread_id":"019e40df-20ff-7121-85e3-730c8849d2e6"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 16661. Please try again in 499ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"agg\\\".\\\"nom_1\\\",\\n \\\"agg\\\".\\\"nom_5\\\",\\n \\\"agg\\\".\\\"total_measure\\\",\\n \\\"agg\\\".\\\"total_measure\\\" * 100.0 / SUM(\\\"agg\\\".\\\"total_measure\\\") OVER (PARTITION BY \\\"agg\\\".\\\"nom_1\\\") AS \\\"share_within_group\\\"\\nFROM (\\n SELECT\\n \\\"nom_1\\\",\\n \\\"nom_5\\\",\\n SUM(CAST(\\\"id\\\" AS INTEGER)) AS \\\"total_measure\\\"\\n FROM \\\"c14\\\"\\n GROUP BY \\\"nom_1\\\", \\\"nom_5\\\"\\n) AS \\\"agg\\\"\\nORDER BY \\\"share_within_group\\\" DESC\\nLIMIT 14;\",\"notes\":\"Applied the planned template with group_col=\\\"nom_1\\\", item_col=\\\"nom_5\\\", and measure_col=\\\"id\\\". \\\"id\\\" is stored as TEXT in SQLite, so it is cast to INTEGER before aggregation; results are limited to the top 14 rows by within-group share.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16026,"cached_input_tokens":12032,"output_tokens":2380,"reasoning_output_tokens":2144}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_18668e35a84095b4/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_18668e35a84095b4/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..69fb347548b63d881564b5ad6c694b0b6e56a36a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_18668e35a84095b4/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"agg\".\"nom_1\",\n \"agg\".\"nom_5\",\n \"agg\".\"total_measure\",\n \"agg\".\"total_measure\" * 100.0 / SUM(\"agg\".\"total_measure\") OVER (PARTITION BY \"agg\".\"nom_1\") AS \"share_within_group\"\nFROM (\n SELECT\n \"nom_1\",\n \"nom_5\",\n SUM(CAST(\"id\" AS INTEGER)) AS \"total_measure\"\n FROM \"c14\"\n GROUP BY \"nom_1\", \"nom_5\"\n) AS \"agg\"\nORDER BY \"share_within_group\" DESC\nLIMIT 14;","notes":"Applied the planned template with group_col=\"nom_1\", item_col=\"nom_5\", and measure_col=\"id\". \"id\" is stored as TEXT in SQLite, so it is cast to INTEGER before aggregation; results are limited to the top 14 rows by within-group share."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_18668e35a84095b4/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_18668e35a84095b4/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_19919c706cdc5a2b/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_19919c706cdc5a2b/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..fdb8bd27bc9c66e4f458cf1d3f3ba63d0934400f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_19919c706cdc5a2b/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11603, "bytes_utf8": 11603, "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": 282, "bytes_utf8": 282, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15878, "cached_input_tokens": 12032, "output_tokens": 281, "reasoning_output_tokens": 207}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_19919c706cdc5a2b/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_19919c706cdc5a2b/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..f47dec01065aeb8b1a4c7ad893a1df6820608b7a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_19919c706cdc5a2b/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_19919c706cdc5a2b", + "api_calls": 0, + "input_tokens": 15878, + "cached_input_tokens": 12032, + "output_tokens": 281, + "total_tokens": 16159, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12827.79, + "sql_execution_elapsed_ms_total": 143.36, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_19919c706cdc5a2b/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_19919c706cdc5a2b/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_19919c706cdc5a2b/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..fa58ed01f2bb736077e47adba9dc0bf232033bd0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_19919c706cdc5a2b/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": "2026-05-19T15:32:51.264798+00:00", + "ended_at": "2026-05-19T15:33:04.092618+00:00", + "elapsed_ms": 12827.79, + "prompt_metrics": { + "chars": 11603, + "bytes_utf8": 11603, + "lines": 394, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 969, + "bytes_utf8": 969, + "lines": 5, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 282, + "bytes_utf8": 282, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15878, + "cached_input_tokens": 12032, + "output_tokens": 281, + "reasoning_output_tokens": 207 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_19919c706cdc5a2b/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_19919c706cdc5a2b/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2f278f71c9277ae7db241b8bdfece949222eeefb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_19919c706cdc5a2b/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "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": 172611.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_19919c706cdc5a2b/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_19919c706cdc5a2b/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..df0929725256cda0fa7402cacc39c1cb1f80ad83 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_19919c706cdc5a2b/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,5 @@ +{"type":"thread.started","thread_id":"019e40de-4edd-7540-bfe0-4ae0c200aeac"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 16513. Please try again in 495ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"month\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"c14\\\"\\nGROUP BY \\\"month\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Uses the provided grouped-count template with \\\"month\\\" as the category to inspect subgroup size distribution.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15878,"cached_input_tokens":12032,"output_tokens":281,"reasoning_output_tokens":207}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_19919c706cdc5a2b/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_19919c706cdc5a2b/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7caf3c6504392bf2c6e56c96929a8a6a46c46a43 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_19919c706cdc5a2b/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_clickbench_group_count\nSELECT \"month\", COUNT(*) AS \"row_count\"\nFROM \"c14\"\nGROUP BY \"month\"\nORDER BY \"row_count\" DESC;","notes":"Uses the provided grouped-count template with \"month\" as the category to inspect subgroup size distribution."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_19919c706cdc5a2b/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_19919c706cdc5a2b/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1fea094e85473532/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1fea094e85473532/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7540bffdf7c5d70d7ab3c8aebb6c9512fb70d25d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1fea094e85473532/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": "2026-05-19T16:07:36.947040+00:00", + "ended_at": "2026-05-19T16:07:39.689673+00:00", + "elapsed_ms": 2742.59, + "returncode": 1, + "prompt_metrics": { + "chars": 11621, + "bytes_utf8": 11621, + "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_d/c14/artifacts/v2q_c14_1fea094e85473532/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1fea094e85473532/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..771e2ea5d4d16fcad2d8d0e8229a16ab1f7fcaa8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1fea094e85473532/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": "2026-05-19T16:07:40.691390+00:00", + "ended_at": "2026-05-19T16:07:44.117582+00:00", + "elapsed_ms": 3426.16, + "returncode": 1, + "prompt_metrics": { + "chars": 11621, + "bytes_utf8": 11621, + "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_d/c14/artifacts/v2q_c14_1fea094e85473532/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1fea094e85473532/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e4806744eccd147d4745416db3d153177144cd2f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1fea094e85473532/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "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": 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 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1fea094e85473532/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1fea094e85473532/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e4806744eccd147d4745416db3d153177144cd2f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1fea094e85473532/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "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": 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 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1fea094e85473532/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1fea094e85473532/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..bee4f10e38f15aa631e34c7b2543641ae366cd2c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1fea094e85473532/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-21fd-76d0-84c6-99ae3a9e3cd8"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1fea094e85473532/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1fea094e85473532/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..28e0bfc250ec0cc77441a4e300f03dd5f9588b0f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1fea094e85473532/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-21fd-76d0-84c6-99ae3a9e3cd8"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. 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Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1fea094e85473532/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1fea094e85473532/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..3f04e7f8beddec8673dea6b0e2193947abefb89b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1fea094e85473532/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-30b4-7511-811a-f6a9be9d6af2"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. 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100644 index 0000000000000000000000000000000000000000..493af934c7aa1901adc52ad0760aca9246092018 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_23e4abd05b78aa2b/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11683, "bytes_utf8": 11683, "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": 342, "bytes_utf8": 342, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15906, "cached_input_tokens": 12032, "output_tokens": 571, "reasoning_output_tokens": 466}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_23e4abd05b78aa2b/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_23e4abd05b78aa2b/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..64672c2776dbad37ff09caaf02e6b7888fb6bd0c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_23e4abd05b78aa2b/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_23e4abd05b78aa2b", + "api_calls": 0, + "input_tokens": 15906, + "cached_input_tokens": 12032, + "output_tokens": 571, + "total_tokens": 16477, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12266.54, + "sql_execution_elapsed_ms_total": 165.79, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_23e4abd05b78aa2b/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_23e4abd05b78aa2b/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_23e4abd05b78aa2b/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..8161c8f50319c7e3e0dd48270c528bcb3ca7ade5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_23e4abd05b78aa2b/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": "2026-05-19T15:31:36.904674+00:00", + "ended_at": "2026-05-19T15:31:49.171249+00:00", + "elapsed_ms": 12266.54, + "prompt_metrics": { + "chars": 11683, + "bytes_utf8": 11683, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 708, + "bytes_utf8": 708, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 342, + "bytes_utf8": 342, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15906, + "cached_input_tokens": 12032, + "output_tokens": 571, + "reasoning_output_tokens": 466 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_23e4abd05b78aa2b/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_23e4abd05b78aa2b/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ddd289ee1c12953f08b346d4d50fc29c027ea701 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_23e4abd05b78aa2b/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=nom_3, measure_col=id.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "nom_3", + "measure_col": "id", + "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": 150351.84, + "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_d/c14/artifacts/v2q_c14_23e4abd05b78aa2b/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_23e4abd05b78aa2b/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..8a22ea82a22c58b706d5ba633eccd9372ed5ca79 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_23e4abd05b78aa2b/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40dd-2c63-7462-b907-c759aeaf09a2"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum.\\nSELECT \\\"nom_3\\\", SUM(CAST(\\\"id\\\" AS INTEGER)) AS \\\"total_measure\\\"\\nFROM \\\"c14\\\"\\nGROUP BY \\\"nom_3\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Applied the Grouped Numeric Sum template with group_col=\\\"nom_3\\\" and measure_col=\\\"id\\\". CAST is used because \\\"id\\\" is stored as TEXT in the schema.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15906,"cached_input_tokens":12032,"output_tokens":571,"reasoning_output_tokens":466}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_23e4abd05b78aa2b/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_23e4abd05b78aa2b/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6f04d3df352e4c6985951d50fc713b849db2ea89 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_23e4abd05b78aa2b/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum.\nSELECT \"nom_3\", SUM(CAST(\"id\" AS INTEGER)) AS \"total_measure\"\nFROM \"c14\"\nGROUP BY \"nom_3\"\nORDER BY \"total_measure\" DESC;","notes":"Applied the Grouped Numeric Sum template with group_col=\"nom_3\" and measure_col=\"id\". CAST is used 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_d/c14/artifacts/v2q_c14_23e4abd05b78aa2b/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_23e4abd05b78aa2b/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_24d131dfa7075908/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_24d131dfa7075908/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f85ee52be28537c4eff64941922fff2daa1737e0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_24d131dfa7075908/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11685, "bytes_utf8": 11685, "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": 332, "bytes_utf8": 332, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15906, "cached_input_tokens": 12032, "output_tokens": 384, "reasoning_output_tokens": 286}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_24d131dfa7075908/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_24d131dfa7075908/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..f1ef792edc909df328c9cbe391e1adbbb523f659 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_24d131dfa7075908/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_24d131dfa7075908", + "api_calls": 0, + "input_tokens": 15906, + "cached_input_tokens": 12032, + "output_tokens": 384, + "total_tokens": 16290, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9587.17, + "sql_execution_elapsed_ms_total": 174.9, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_24d131dfa7075908/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_24d131dfa7075908/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_24d131dfa7075908/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..cb57ea8f6d43fdbcd4ed422ebaaa890aa7582b4e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_24d131dfa7075908/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": "2026-05-19T15:31:12.719477+00:00", + "ended_at": "2026-05-19T15:31:22.306679+00:00", + "elapsed_ms": 9587.17, + "prompt_metrics": { + "chars": 11685, + "bytes_utf8": 11685, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 690, + "bytes_utf8": 690, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 332, + "bytes_utf8": 332, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15906, + "cached_input_tokens": 12032, + "output_tokens": 384, + "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_d/c14/artifacts/v2q_c14_24d131dfa7075908/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_24d131dfa7075908/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..22f04351d81b3d96401a71751d5ba3832abd77ba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_24d131dfa7075908/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "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=month.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "nom_2", + "measure_col": "month", + "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": 8.64, + "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_d/c14/artifacts/v2q_c14_24d131dfa7075908/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_24d131dfa7075908/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..68aa2e244ec7bdbf9a07ccb9650aad7a9dd0d376 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_24d131dfa7075908/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40dc-cddb-7ad3-9efc-dbb7378cad34"} +{"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(\\\"month\\\" AS INTEGER)) AS total_measure\\nFROM \\\"c14\\\"\\nGROUP BY \\\"nom_2\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the planned template with group_col=\\\"nom_2\\\" and measure_col=\\\"month\\\". Cast \\\"month\\\" from TEXT to INTEGER so the sum is numeric in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15906,"cached_input_tokens":12032,"output_tokens":384,"reasoning_output_tokens":286}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_24d131dfa7075908/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_24d131dfa7075908/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8cc4bfc1962a2f0fb8738638ef5e8d39a3c536e9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_24d131dfa7075908/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"nom_2\", SUM(CAST(\"month\" AS INTEGER)) AS total_measure\nFROM \"c14\"\nGROUP BY \"nom_2\"\nORDER BY total_measure DESC;","notes":"Used the planned template with group_col=\"nom_2\" and measure_col=\"month\". Cast \"month\" from TEXT to INTEGER so the sum is numeric in SQLite."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_24d131dfa7075908/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_24d131dfa7075908/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_269b5caa74bf8b21/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_269b5caa74bf8b21/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..48ad4ccd39d45398e3e59a58eb5c60955cd99fe9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_269b5caa74bf8b21/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12092, "bytes_utf8": 12092, "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": 569, "bytes_utf8": 569, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16030, "cached_input_tokens": 14720, "output_tokens": 699, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_269b5caa74bf8b21/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_269b5caa74bf8b21/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..315314c1c5542d16a314eb936bb31807377ffda8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_269b5caa74bf8b21/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_269b5caa74bf8b21", + "api_calls": 0, + "input_tokens": 16030, + "cached_input_tokens": 14720, + "output_tokens": 699, + "total_tokens": 16729, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13778.05, + "sql_execution_elapsed_ms_total": 304.09, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_269b5caa74bf8b21/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_269b5caa74bf8b21/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_269b5caa74bf8b21/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e50411b279a9fde37882db4366a6eafe73047f9d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_269b5caa74bf8b21/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": "2026-05-19T15:37:17.072066+00:00", + "ended_at": "2026-05-19T15:37:30.850144+00:00", + "elapsed_ms": 13778.05, + "prompt_metrics": { + "chars": 12092, + "bytes_utf8": 12092, + "lines": 398, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 953, + "bytes_utf8": 953, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 569, + "bytes_utf8": 569, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16030, + "cached_input_tokens": 14720, + "output_tokens": 699, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_269b5caa74bf8b21/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_269b5caa74bf8b21/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e2a2049a031e22df99733a2a5f2d60f7b43fffcf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_269b5caa74bf8b21/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "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=ord_0.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "ord_1", + "measure_col": "ord_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": 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_d/c14/artifacts/v2q_c14_269b5caa74bf8b21/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_269b5caa74bf8b21/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..990a72776145ad160f11bebdb9be59d47b122743 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_269b5caa74bf8b21/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e2-5d13-7010-8842-9df331af4be3"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"ord_1\\\", \\\"ord_4\\\",\\n SUM(CAST(\\\"ord_0\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"ord_0\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"ord_0\\\" AS REAL))) OVER (PARTITION BY \\\"ord_1\\\") AS share_within_group\\nFROM \\\"c14\\\"\\nGROUP BY \\\"ord_1\\\", \\\"ord_4\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Used template tpl_tpcds_within_group_share with group_col=\\\"ord_1\\\", item_col=\\\"ord_4\\\", and measure_col=\\\"ord_0\\\". Cast \\\"ord_0\\\" from TEXT to REAL so SUM and percentage calculations are numeric in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16030,"cached_input_tokens":14720,"output_tokens":699,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_269b5caa74bf8b21/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_269b5caa74bf8b21/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..705dce76dd442e91bf76d4ee0d8c83b55a97261d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_269b5caa74bf8b21/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"ord_1\", \"ord_4\",\n SUM(CAST(\"ord_0\" AS REAL)) AS total_measure,\n SUM(CAST(\"ord_0\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"ord_0\" AS REAL))) OVER (PARTITION BY \"ord_1\") AS share_within_group\nFROM \"c14\"\nGROUP BY \"ord_1\", \"ord_4\"\nORDER BY share_within_group DESC;","notes":"Used template tpl_tpcds_within_group_share with group_col=\"ord_1\", item_col=\"ord_4\", and measure_col=\"ord_0\". Cast \"ord_0\" from TEXT to REAL so SUM and percentage calculations are numeric in SQLite."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_269b5caa74bf8b21/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_269b5caa74bf8b21/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2f060eae394b2c1b/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2f060eae394b2c1b/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3a38aae2909361ff25eab3a8d2857a34fbc70396 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2f060eae394b2c1b/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11624, "bytes_utf8": 11624, "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": 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": 11624, "bytes_utf8": 11624, "lines": 394, "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": 356, "bytes_utf8": 356, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15893, "cached_input_tokens": 12032, "output_tokens": 278, "reasoning_output_tokens": 173}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2f060eae394b2c1b/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2f060eae394b2c1b/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..8d29cfcd7ea722012ce12c531d8efe7eea31bb6e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2f060eae394b2c1b/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_2f060eae394b2c1b", + "api_calls": 0, + "input_tokens": 15893, + "cached_input_tokens": 12032, + "output_tokens": 278, + "total_tokens": 16171, + "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": 10531.6, + "sql_execution_elapsed_ms_total": 51.62, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2f060eae394b2c1b/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2f060eae394b2c1b/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2f060eae394b2c1b/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f4bdbaa2df91fd6cba2f5fd34fd985d8ec8a8f96 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2f060eae394b2c1b/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": "2026-05-19T16:07:44.136926+00:00", + "ended_at": "2026-05-19T16:07:46.987965+00:00", + "elapsed_ms": 2851.02, + "returncode": 1, + "prompt_metrics": { + "chars": 11624, + "bytes_utf8": 11624, + "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_d/c14/artifacts/v2q_c14_2f060eae394b2c1b/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2f060eae394b2c1b/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6d4143978f0af2db2e064aef3205156a707c57b6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2f060eae394b2c1b/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": "2026-05-19T16:07:47.990690+00:00", + "ended_at": "2026-05-19T16:07:55.671325+00:00", + "elapsed_ms": 7680.58, + "prompt_metrics": { + "chars": 11624, + "bytes_utf8": 11624, + "lines": 394, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 704, + "bytes_utf8": 704, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 356, + "bytes_utf8": 356, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15893, + "cached_input_tokens": 12032, + "output_tokens": 278, + "reasoning_output_tokens": 173 + } + }, + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2f060eae394b2c1b/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2f060eae394b2c1b/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4af0e8abbf95a0f67920e18030bf5b8bcdd06fa6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2f060eae394b2c1b/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "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_d/c14/artifacts/v2q_c14_2f060eae394b2c1b/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2f060eae394b2c1b/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..4af0e8abbf95a0f67920e18030bf5b8bcdd06fa6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2f060eae394b2c1b/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "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_d/c14/artifacts/v2q_c14_2f060eae394b2c1b/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2f060eae394b2c1b/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..90a4a15aed3fb0a3aec23429a09cdc22e3afa315 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2f060eae394b2c1b/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-3e2b-7970-8637-450730657d58"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2f060eae394b2c1b/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2f060eae394b2c1b/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d020eb1b7162e9742ea23d2b5ac7b785f81809b5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2f060eae394b2c1b/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-3e2b-7970-8637-450730657d58"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2f060eae394b2c1b/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2f060eae394b2c1b/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..d7a4ac95057688c4a1f48d82e39c4c45adfec8a8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2f060eae394b2c1b/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-4d27-75c1-8fad-e58b8f2f27e0"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN CAST(\\\"month\\\" AS REAL) <= 9.0 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"c14\\\";\",\"notes\":\"Applied the planned Threshold Rarity CDF template with measure_col bound to \\\"month\\\" and threshold 9.0. Used CAST(\\\"month\\\" AS REAL) because the schema stores month as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15893,"cached_input_tokens":12032,"output_tokens":278,"reasoning_output_tokens":173}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2f060eae394b2c1b/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2f060eae394b2c1b/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..b39a83894b207a424d0253446495608906b38c04 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2f060eae394b2c1b/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_threshold_rarity_cdf\nSELECT AVG(CASE WHEN CAST(\"month\" AS REAL) <= 9.0 THEN 1 ELSE 0 END) AS \"empirical_cdf_at_threshold\"\nFROM \"c14\";","notes":"Applied the planned Threshold Rarity CDF template with measure_col bound to \"month\" and threshold 9.0. 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a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_316f8bbf17f81e8f/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_316f8bbf17f81e8f/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..141d1e6b47478431d9de7416f29027c2f6c80712 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_316f8bbf17f81e8f/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_316f8bbf17f81e8f", + "api_calls": 0, + "input_tokens": 16026, + "cached_input_tokens": 14720, + "output_tokens": 1220, + "total_tokens": 17246, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 21715.66, + "sql_execution_elapsed_ms_total": 324.38, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_316f8bbf17f81e8f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_316f8bbf17f81e8f/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_316f8bbf17f81e8f/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d15e8de17757d8cc59541da8f9ce3566eb99912d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_316f8bbf17f81e8f/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": "2026-05-19T15:39:21.089941+00:00", + "ended_at": "2026-05-19T15:39:42.805644+00:00", + "elapsed_ms": 21715.66, + "prompt_metrics": { + "chars": 12088, + "bytes_utf8": 12088, + "lines": 398, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 971, + "bytes_utf8": 971, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 570, + "bytes_utf8": 570, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16026, + "cached_input_tokens": 14720, + "output_tokens": 1220, + "reasoning_output_tokens": 1034 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_316f8bbf17f81e8f/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_316f8bbf17f81e8f/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..827a059f4558ded06453b3b2e3b9885ec6aa03c8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_316f8bbf17f81e8f/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=day, measure_col=ord_0.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "day", + "measure_col": "ord_0", + "item_col": "nom_6", + "top_k": 18, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 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_d/c14/artifacts/v2q_c14_316f8bbf17f81e8f/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_316f8bbf17f81e8f/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b82f8e5a0bb862c6d31df3a60fb9a5ade60b4bfe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_316f8bbf17f81e8f/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e4-41a3-7340-ba05-cf5f2c796cd2"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"day\\\",\\n \\\"nom_6\\\",\\n SUM(CAST(\\\"ord_0\\\" AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(\\\"ord_0\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"ord_0\\\" AS REAL))) OVER (PARTITION BY \\\"day\\\") AS \\\"share_within_group\\\"\\nFROM \\\"c14\\\"\\nGROUP BY \\\"day\\\", \\\"nom_6\\\"\\nORDER BY \\\"share_within_group\\\" DESC\\nLIMIT 18;\",\"notes\":\"Instantiates the Within-Group Share of Total template with group_col=\\\"day\\\", item_col=\\\"nom_6\\\", and measure_col=\\\"ord_0\\\". CAST is used because \\\"ord_0\\\" is stored as TEXT in the SQLite schema.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16026,"cached_input_tokens":14720,"output_tokens":1220,"reasoning_output_tokens":1034}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_316f8bbf17f81e8f/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_316f8bbf17f81e8f/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..09b658f796063a82263d6f7fdfa6e72820951c65 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_316f8bbf17f81e8f/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"day\",\n \"nom_6\",\n SUM(CAST(\"ord_0\" AS REAL)) AS \"total_measure\",\n SUM(CAST(\"ord_0\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"ord_0\" AS REAL))) OVER (PARTITION BY \"day\") AS \"share_within_group\"\nFROM \"c14\"\nGROUP BY \"day\", \"nom_6\"\nORDER BY \"share_within_group\" DESC\nLIMIT 18;","notes":"Instantiates the Within-Group Share of Total template with group_col=\"day\", item_col=\"nom_6\", and measure_col=\"ord_0\". CAST is used because \"ord_0\" is stored as TEXT in the SQLite schema."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_316f8bbf17f81e8f/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_316f8bbf17f81e8f/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_32908eb75a2e9520/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_32908eb75a2e9520/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..50f687c3b4b241f2836aab20d1a3b27828708a08 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_32908eb75a2e9520/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11988, "bytes_utf8": 11988, "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": 401, "bytes_utf8": 401, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16001, "cached_input_tokens": 14720, "output_tokens": 641, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_32908eb75a2e9520/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_32908eb75a2e9520/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..94d39ea8e441fbd49af2d3f2918478e9698765d0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_32908eb75a2e9520/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_32908eb75a2e9520", + "api_calls": 0, + "input_tokens": 16001, + "cached_input_tokens": 14720, + "output_tokens": 641, + "total_tokens": 16642, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12665.31, + "sql_execution_elapsed_ms_total": 105.0, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_32908eb75a2e9520/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_32908eb75a2e9520/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_32908eb75a2e9520/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..155237ae98dbc6b21404da5555ad8a03ee8c3ebf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_32908eb75a2e9520/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": "2026-05-19T15:43:29.634008+00:00", + "ended_at": "2026-05-19T15:43:42.299338+00:00", + "elapsed_ms": 12665.31, + "prompt_metrics": { + "chars": 11988, + "bytes_utf8": 11988, + "lines": 400, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 776, + "bytes_utf8": 776, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 401, + "bytes_utf8": 401, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16001, + "cached_input_tokens": 14720, + "output_tokens": 641, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_32908eb75a2e9520/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_32908eb75a2e9520/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..cdba4fa46dcc4966bd7ae9fefbf6604a8c2226af --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_32908eb75a2e9520/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=bin_3, group_col_2=nom_0.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "bin_3", + "group_col_2": "nom_0", + "predicate_col": "target", + "predicate_op": "=", + "predicate_value": "1", + "top_k": 14, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 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_d/c14/artifacts/v2q_c14_32908eb75a2e9520/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_32908eb75a2e9520/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c821657b9b4f6158213606f672ea95d3f997697d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_32908eb75a2e9520/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e8-0c5a-7163-982d-73a1fd5ec332"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"bin_3\\\", \\\"nom_0\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"c14\\\"\\nWHERE \\\"target\\\" = '1'\\nGROUP BY \\\"bin_3\\\", \\\"nom_0\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Uses the bound template roles exactly: group by \\\"bin_3\\\" and \\\"nom_0\\\", filtered on \\\"target\\\" = '1'. The target comparison is quoted as text to match the SQLite schema snapshot.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16001,"cached_input_tokens":14720,"output_tokens":641,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_32908eb75a2e9520/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_32908eb75a2e9520/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..615141c2f3b378fdd2fe64d94bc2a2b820080316 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_32908eb75a2e9520/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"bin_3\", \"nom_0\", COUNT(*) AS \"row_count\"\nFROM \"c14\"\nWHERE \"target\" = '1'\nGROUP BY \"bin_3\", \"nom_0\"\nORDER BY \"row_count\" DESC;","notes":"Uses the bound template roles exactly: group by \"bin_3\" and \"nom_0\", filtered on \"target\" = '1'. The target comparison is quoted as text to match the SQLite schema snapshot."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_32908eb75a2e9520/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_32908eb75a2e9520/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3a39dd668c4c9c06/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3a39dd668c4c9c06/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..253c087b82cfab0e529545a6aef94974a6250db9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3a39dd668c4c9c06/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": "2026-05-19T16:10:23.359750+00:00", + "ended_at": "2026-05-19T16:10:26.569110+00:00", + "elapsed_ms": 3209.33, + "returncode": 1, + "prompt_metrics": { + "chars": 11677, + "bytes_utf8": 11677, + "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_d/c14/artifacts/v2q_c14_3a39dd668c4c9c06/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3a39dd668c4c9c06/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..233aa9a49cd68f96d5b8c8a8f5e7fc9c93812ca5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3a39dd668c4c9c06/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": "2026-05-19T16:10:27.570881+00:00", + "ended_at": "2026-05-19T16:10:30.829087+00:00", + "elapsed_ms": 3258.17, + "returncode": 1, + "prompt_metrics": { + "chars": 11677, + "bytes_utf8": 11677, + "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_d/c14/artifacts/v2q_c14_3a39dd668c4c9c06/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3a39dd668c4c9c06/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..cb76c1047dd0e71d2eef4133d8e81fedb25bcebb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3a39dd668c4c9c06/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=bin_1.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "bin_1", + "top_k": 12, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 9.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3a39dd668c4c9c06/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3a39dd668c4c9c06/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..cb76c1047dd0e71d2eef4133d8e81fedb25bcebb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3a39dd668c4c9c06/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=bin_1.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "bin_1", + "top_k": 12, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 9.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3a39dd668c4c9c06/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3a39dd668c4c9c06/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..569eef58e3834d024b330b1709ed6e15aff2423e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3a39dd668c4c9c06/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-ac05-7631-ac9b-f5cc8649fb99"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3a39dd668c4c9c06/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3a39dd668c4c9c06/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a3888177f2e9a0c26edf137770d137431925cf7f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3a39dd668c4c9c06/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-ac05-7631-ac9b-f5cc8649fb99"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3a39dd668c4c9c06/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3a39dd668c4c9c06/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a86dd2140392f2c73d55f61538101ec358cc8a3e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3a39dd668c4c9c06/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-bc76-77a2-8a2a-0537c2b60aea"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3a39dd668c4c9c06/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3a39dd668c4c9c06/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..cb15a65a57daeeb206e6576bab95e72f9c998e52 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3a39dd668c4c9c06/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-bc76-77a2-8a2a-0537c2b60aea"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3a39dd668c4c9c06/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3a39dd668c4c9c06/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3a39dd668c4c9c06/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3a39dd668c4c9c06/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3a7533929b157c56/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3a7533929b157c56/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0166ec719a4c79b2acc238e1db9438a460ce427c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3a7533929b157c56/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11599, "bytes_utf8": 11599, "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": 273, "bytes_utf8": 273, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15877, "cached_input_tokens": 12032, "output_tokens": 233, "reasoning_output_tokens": 161}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3a7533929b157c56/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3a7533929b157c56/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..feeee906f6b21ac7d5023289c868245e698fc257 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3a7533929b157c56/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_3a7533929b157c56", + "api_calls": 0, + "input_tokens": 15877, + "cached_input_tokens": 12032, + "output_tokens": 233, + "total_tokens": 16110, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 21149.09, + "sql_execution_elapsed_ms_total": 146.57, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3a7533929b157c56/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3a7533929b157c56/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3a7533929b157c56/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..0535611695ed4c870e5dce4400052ab436ff50e2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3a7533929b157c56/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": "2026-05-19T15:33:04.256342+00:00", + "ended_at": "2026-05-19T15:33:25.405468+00:00", + "elapsed_ms": 21149.09, + "prompt_metrics": { + "chars": 11599, + "bytes_utf8": 11599, + "lines": 394, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1625, + "bytes_utf8": 1625, + "lines": 7, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 273, + "bytes_utf8": 273, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15877, + "cached_input_tokens": 12032, + "output_tokens": 233, + "reasoning_output_tokens": 161 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3a7533929b157c56/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3a7533929b157c56/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..817d6cc822f345a998477e59d57974b8e4bdcd96 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3a7533929b157c56/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=target.", + "planned_template_id": "tpl_clickbench_group_count", + "bindings": { + "group_col": "target", + "top_k": 12, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 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_d/c14/artifacts/v2q_c14_3a7533929b157c56/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3a7533929b157c56/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6e976ca1bc8936af3120ecb5ba0340cdfd04ed3f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3a7533929b157c56/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,7 @@ +{"type":"thread.started","thread_id":"019e40de-817b-7ad0-9991-bc918aa7a56a"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1993577, Requested 16512. Please try again in 302ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 3/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 16512. Please try again in 495ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 4/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1985575, Requested 16512. Please try again in 62ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"target\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"c14\\\"\\nGROUP BY \\\"target\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Grouped count over \\\"target\\\" to measure the class count distribution using the specified template.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15877,"cached_input_tokens":12032,"output_tokens":233,"reasoning_output_tokens":161}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3a7533929b157c56/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3a7533929b157c56/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..cdf7042ed8d7584dfba44594cf98a50e12398e23 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3a7533929b157c56/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_clickbench_group_count\nSELECT \"target\", COUNT(*) AS \"row_count\"\nFROM \"c14\"\nGROUP BY \"target\"\nORDER BY \"row_count\" DESC;","notes":"Grouped count over \"target\" to measure the class count distribution using the specified template."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3a7533929b157c56/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3a7533929b157c56/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3b97339db18013cb/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3b97339db18013cb/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6f9d3a79ba3d21176bff1b2e2b2512b0f8bcdad2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3b97339db18013cb/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12084, "bytes_utf8": 12084, "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": 608, "bytes_utf8": 608, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16029, "cached_input_tokens": 12032, "output_tokens": 629, "reasoning_output_tokens": 444}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3b97339db18013cb/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3b97339db18013cb/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..2e06c2e48b12443c47eb6a5e4f31a526a5cede81 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3b97339db18013cb/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_3b97339db18013cb", + "api_calls": 0, + "input_tokens": 16029, + "cached_input_tokens": 12032, + "output_tokens": 629, + "total_tokens": 16658, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12668.95, + "sql_execution_elapsed_ms_total": 288.13, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3b97339db18013cb/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3b97339db18013cb/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3b97339db18013cb/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e5a9fcfe31871429c0d2a4cb919d97e1be83804c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3b97339db18013cb/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:37:04.093262+00:00", + "ended_at": "2026-05-19T15:37:16.762240+00:00", + "elapsed_ms": 12668.95, + "prompt_metrics": { + "chars": 12084, + "bytes_utf8": 12084, + "lines": 398, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 992, + "bytes_utf8": 992, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 608, + "bytes_utf8": 608, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16029, + "cached_input_tokens": 12032, + "output_tokens": 629, + "reasoning_output_tokens": 444 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3b97339db18013cb/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3b97339db18013cb/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f956c790b084881116efb00a1f9c3d3792746a6d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3b97339db18013cb/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=ord_1, measure_col=ord_0.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "ord_1", + "measure_col": "ord_0", + "item_col": "ord_4", + "top_k": 14, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2.5, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3b97339db18013cb/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3b97339db18013cb/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..07497a85d49728220588a161e57143becb46d725 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3b97339db18013cb/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e2-2a69-7603-9beb-015220276a38"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"ord_1\\\", \\\"ord_4\\\",\\n SUM(CAST(\\\"ord_0\\\" AS INTEGER)) AS total_measure,\\n SUM(CAST(\\\"ord_0\\\" AS INTEGER)) * 100.0 / SUM(SUM(CAST(\\\"ord_0\\\" AS INTEGER))) OVER (PARTITION BY \\\"ord_1\\\") AS share_within_group\\nFROM \\\"c14\\\"\\nGROUP BY \\\"ord_1\\\", \\\"ord_4\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Used the requested Within-Group Share of Total template with group_col=\\\"ord_1\\\", item_col=\\\"ord_4\\\", and measure_col=\\\"ord_0\\\". CAST was added because \\\"ord_0\\\" is stored as TEXT in SQLite schema but represents numeric discrete values.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16029,"cached_input_tokens":12032,"output_tokens":629,"reasoning_output_tokens":444}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3b97339db18013cb/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3b97339db18013cb/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..68a3432ea092edf6ac14cf8f3babd6f1b7a16bf0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3b97339db18013cb/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"ord_1\", \"ord_4\",\n SUM(CAST(\"ord_0\" AS INTEGER)) AS total_measure,\n SUM(CAST(\"ord_0\" AS INTEGER)) * 100.0 / SUM(SUM(CAST(\"ord_0\" AS INTEGER))) OVER (PARTITION BY \"ord_1\") AS share_within_group\nFROM \"c14\"\nGROUP BY \"ord_1\", \"ord_4\"\nORDER BY share_within_group DESC;","notes":"Used the requested Within-Group Share of Total template with group_col=\"ord_1\", item_col=\"ord_4\", and measure_col=\"ord_0\". CAST was added because \"ord_0\" is stored as TEXT in SQLite schema but represents numeric discrete values."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3b97339db18013cb/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3b97339db18013cb/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3d2ddc76d202981b/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3d2ddc76d202981b/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..2402d630e9d7e7ae86c98e2ce3fcc57f18bda493 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3d2ddc76d202981b/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": "2026-05-19T16:04:36.695076+00:00", + "ended_at": "2026-05-19T16:04:39.768671+00:00", + "elapsed_ms": 3073.57, + "returncode": 1, + "prompt_metrics": { + "chars": 11954, + "bytes_utf8": 11954, + "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_d/c14/artifacts/v2q_c14_3d2ddc76d202981b/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3d2ddc76d202981b/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..096393b187832f819ca72204fc429f263b063e96 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3d2ddc76d202981b/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": "2026-05-19T16:04:40.770405+00:00", + "ended_at": "2026-05-19T16:04:43.787175+00:00", + "elapsed_ms": 3016.73, + "returncode": 1, + "prompt_metrics": { + "chars": 11954, + "bytes_utf8": 11954, + "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_d/c14/artifacts/v2q_c14_3d2ddc76d202981b/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3d2ddc76d202981b/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..914944712f4e9ba1987524129c12028dbdd8ec8c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3d2ddc76d202981b/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "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": "Polygon", + "positive_value": "Trapezoid", + "negative_value": "Polygon", + "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": 172611.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3d2ddc76d202981b/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3d2ddc76d202981b/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..914944712f4e9ba1987524129c12028dbdd8ec8c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3d2ddc76d202981b/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "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": "Polygon", + "positive_value": "Trapezoid", + "negative_value": "Polygon", + "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": 172611.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3d2ddc76d202981b/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3d2ddc76d202981b/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..440fc060cc6273f14485f5ab339881d11faf0c57 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3d2ddc76d202981b/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-61fc-7e50-9903-06c44129d560"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3d2ddc76d202981b/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3d2ddc76d202981b/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9596cb3a976818e6f6f764a4a9b1fb04b231ebc3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3d2ddc76d202981b/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-61fc-7e50-9903-06c44129d560"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3d2ddc76d202981b/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3d2ddc76d202981b/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..438a904657d347eb7a70f67604e8c805dd4c28eb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3d2ddc76d202981b/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-71b7-7cb2-9ed5-b9bb266642e6"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3d2ddc76d202981b/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3d2ddc76d202981b/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..f519506ddb41adeb59371a258728946cb0056c94 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3d2ddc76d202981b/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-71b7-7cb2-9ed5-b9bb266642e6"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3d2ddc76d202981b/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3d2ddc76d202981b/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3d2ddc76d202981b/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3d2ddc76d202981b/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3f70b4848424d74b/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3f70b4848424d74b/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..943696b6de10cc06ee64051a136741e2592befbb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3f70b4848424d74b/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12239, "bytes_utf8": 12239, "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": 700, "bytes_utf8": 700, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16044, "cached_input_tokens": 12032, "output_tokens": 562, "reasoning_output_tokens": 367}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3f70b4848424d74b/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3f70b4848424d74b/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..e098adb3c8fd2f14f43c8486551ffcf88dec3469 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3f70b4848424d74b/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_3f70b4848424d74b", + "api_calls": 0, + "input_tokens": 16044, + "cached_input_tokens": 12032, + "output_tokens": 562, + "total_tokens": 16606, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 20641.15, + "sql_execution_elapsed_ms_total": 167.79, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3f70b4848424d74b/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3f70b4848424d74b/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3f70b4848424d74b/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..cf8c7e4104833dfb8554fdab704787a65735b27a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3f70b4848424d74b/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": "2026-05-19T15:51:37.978336+00:00", + "ended_at": "2026-05-19T15:51:58.619513+00:00", + "elapsed_ms": 20641.15, + "prompt_metrics": { + "chars": 12239, + "bytes_utf8": 12239, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1081, + "bytes_utf8": 1081, + "lines": 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": 16044, + "cached_input_tokens": 12032, + "output_tokens": 562, + "reasoning_output_tokens": 367 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3f70b4848424d74b/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3f70b4848424d74b/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..756dc35b44f5100613d3b46715b25f3aa6cfffc8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3f70b4848424d74b/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "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=id.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "nom_3", + "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": 150351.84, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3f70b4848424d74b/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3f70b4848424d74b/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..44a5ddfcbfb47f614363c17a7684f33399cfefd8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3f70b4848424d74b/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ef-801c-7cc3-8b0b-648d2faf842a"} +{"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(\\\"id\\\" AS REAL)) AS group_value\\n FROM \\\"c14\\\"\\n WHERE \\\"nom_3\\\" IS NOT NULL\\n AND \\\"id\\\" IS NOT NULL\\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 * 0.05\\nORDER BY g.group_value DESC;\",\"notes\":\"Applied the planned Relative-to-Total Extreme Threshold template with group_col=\\\"nom_3\\\" and measure_col=\\\"id\\\". Cast \\\"id\\\" from TEXT to REAL for SQLite-safe aggregation and filtered NULL group/measure values.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16044,"cached_input_tokens":12032,"output_tokens":562,"reasoning_output_tokens":367}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3f70b4848424d74b/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3f70b4848424d74b/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e2eab58ee51790bff23bf73400ac2e92c5b557b1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3f70b4848424d74b/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"nom_3\", SUM(CAST(\"id\" AS REAL)) AS group_value\n FROM \"c14\"\n WHERE \"nom_3\" IS NOT NULL\n AND \"id\" IS NOT NULL\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 * 0.05\nORDER BY g.group_value DESC;","notes":"Applied the planned Relative-to-Total Extreme Threshold template with group_col=\"nom_3\" and measure_col=\"id\". Cast \"id\" from TEXT to REAL for SQLite-safe aggregation and filtered NULL group/measure values."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3f70b4848424d74b/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3f70b4848424d74b/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_401467f27a642c73/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_401467f27a642c73/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b2004c4add913c7702c043245a6a7d0a3e72f897 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_401467f27a642c73/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11858, "bytes_utf8": 11858, "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": 539, "bytes_utf8": 539, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15957, "cached_input_tokens": 14720, "output_tokens": 464, "reasoning_output_tokens": 316}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_401467f27a642c73/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_401467f27a642c73/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..e3cfe0b17d2f5d0984eba26a566018f072a02610 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_401467f27a642c73/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_401467f27a642c73", + "api_calls": 0, + "input_tokens": 15957, + "cached_input_tokens": 14720, + "output_tokens": 464, + "total_tokens": 16421, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13939.92, + "sql_execution_elapsed_ms_total": 403.07, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_401467f27a642c73/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_401467f27a642c73/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_401467f27a642c73/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..92f91f4a01ebb1efa4ca650001e0a159f2374801 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_401467f27a642c73/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:47:28.413952+00:00", + "ended_at": "2026-05-19T15:47:42.353933+00:00", + "elapsed_ms": 13939.92, + "prompt_metrics": { + "chars": 11858, + "bytes_utf8": 11858, + "lines": 394, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 906, + "bytes_utf8": 906, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 539, + "bytes_utf8": 539, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15957, + "cached_input_tokens": 14720, + "output_tokens": 464, + "reasoning_output_tokens": 316 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_401467f27a642c73/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_401467f27a642c73/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ee580c9480fa96bdececd6a384f1783e99603641 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_401467f27a642c73/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "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": 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": 172611.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_401467f27a642c73/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_401467f27a642c73/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..56d18e10143fc3e5d230d50a7b14817d56cb5fd1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_401467f27a642c73/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40eb-b183-7163-b775-f729e4627628"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n SELECT \\\"id\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"id\\\" AS INTEGER) DESC) AS tail_bucket\\n FROM \\\"c14\\\"\\n)\\nSELECT \\\"id\\\"\\nFROM buckets\\nWHERE tail_bucket = 1\\nORDER BY CAST(\\\"id\\\" AS INTEGER) DESC;\",\"notes\":\"Applied the Quantile Tail Slice template with measure_col bound to \\\"id\\\" and num_tiles=10. CAST(\\\"id\\\" AS INTEGER) is used so the tail bucket reflects numeric rather than lexicographic ordering, since the SQLite schema stores \\\"id\\\" as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15957,"cached_input_tokens":14720,"output_tokens":464,"reasoning_output_tokens":316}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_401467f27a642c73/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_401467f27a642c73/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..25ef2df03c2f424eb6ce171884ebbb0a528fc520 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_401467f27a642c73/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 INTEGER) DESC) AS tail_bucket\n FROM \"c14\"\n)\nSELECT \"id\"\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY CAST(\"id\" AS INTEGER) DESC;","notes":"Applied the Quantile Tail Slice template with measure_col bound to \"id\" and num_tiles=10. CAST(\"id\" AS INTEGER) is used so the tail bucket reflects numeric rather than lexicographic ordering, since the SQLite schema stores \"id\" as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_401467f27a642c73/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_401467f27a642c73/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_42af23f46af782bf/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_42af23f46af782bf/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..5ce3e333dbd27ba4a00b8ea073ba75352c0173fc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_42af23f46af782bf/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": "2026-05-19T16:07:12.723787+00:00", + "ended_at": "2026-05-19T16:07:15.982369+00:00", + "elapsed_ms": 3258.56, + "returncode": 1, + "prompt_metrics": { + "chars": 11936, + "bytes_utf8": 11936, + "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_d/c14/artifacts/v2q_c14_42af23f46af782bf/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_42af23f46af782bf/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..5b1b833d58b2e05b00d65524bd981b233374385b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_42af23f46af782bf/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": "2026-05-19T16:07:16.984715+00:00", + "ended_at": "2026-05-19T16:07:19.677544+00:00", + "elapsed_ms": 2692.79, + "returncode": 1, + "prompt_metrics": { + "chars": 11936, + "bytes_utf8": 11936, + "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_d/c14/artifacts/v2q_c14_42af23f46af782bf/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_42af23f46af782bf/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8d62c59a9128d8aa0f189e100c17dd44824b8df9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_42af23f46af782bf/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=ord_4, condition_col=target.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "ord_4", + "condition_col": "target", + "condition_value": "1", + "positive_value": "0", + "negative_value": "1", + "top_k": 19, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 172611.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_42af23f46af782bf/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_42af23f46af782bf/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..8d62c59a9128d8aa0f189e100c17dd44824b8df9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_42af23f46af782bf/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=ord_4, condition_col=target.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "ord_4", + "condition_col": "target", + "condition_value": "1", + "positive_value": "0", + "negative_value": "1", + "top_k": 19, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 172611.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_42af23f46af782bf/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_42af23f46af782bf/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..73c37666a942a91707784ca8e1687618847ff9f1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_42af23f46af782bf/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-c354-74b3-8621-8f63e685d1f0"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_42af23f46af782bf/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_42af23f46af782bf/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..95fd7dd9d1d5f2a186a2e1f0dc57471ee01d7b24 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_42af23f46af782bf/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-c354-74b3-8621-8f63e685d1f0"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_42af23f46af782bf/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_42af23f46af782bf/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..77adb10a38fa84d3123c33a8d8af35e60dac256d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_42af23f46af782bf/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-d401-7de2-af45-dae0a0a924e3"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_42af23f46af782bf/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_42af23f46af782bf/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..af6df57c72cb634d86f284ffd89c43aaecde6087 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_42af23f46af782bf/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-d401-7de2-af45-dae0a0a924e3"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_42af23f46af782bf/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_42af23f46af782bf/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_42af23f46af782bf/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_42af23f46af782bf/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_446e2306b409ff8f/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_446e2306b409ff8f/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0e1955c59820e50573cdfd6b29a7925afee6775c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_446e2306b409ff8f/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12088, "bytes_utf8": 12088, "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": 556, "bytes_utf8": 556, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16026, "cached_input_tokens": 12032, "output_tokens": 1215, "reasoning_output_tokens": 1034}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_446e2306b409ff8f/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_446e2306b409ff8f/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..609855a253d5304b6263417cedfb89f5928fc16b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_446e2306b409ff8f/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_446e2306b409ff8f", + "api_calls": 0, + "input_tokens": 16026, + "cached_input_tokens": 12032, + "output_tokens": 1215, + "total_tokens": 17241, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 22195.92, + "sql_execution_elapsed_ms_total": 411.47, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_446e2306b409ff8f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_446e2306b409ff8f/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_446e2306b409ff8f/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1569e2884fd1d59f3191b7741c2f094558713e56 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_446e2306b409ff8f/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": "2026-05-19T15:36:27.733859+00:00", + "ended_at": "2026-05-19T15:36:49.929810+00:00", + "elapsed_ms": 22195.92, + "prompt_metrics": { + "chars": 12088, + "bytes_utf8": 12088, + "lines": 398, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 956, + "bytes_utf8": 956, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 556, + "bytes_utf8": 556, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16026, + "cached_input_tokens": 12032, + "output_tokens": 1215, + "reasoning_output_tokens": 1034 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_446e2306b409ff8f/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_446e2306b409ff8f/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d124b0265ada2c466f285e4ff0b3c4adfecf5a49 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_446e2306b409ff8f/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "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": 172611.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_446e2306b409ff8f/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_446e2306b409ff8f/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..24c2a65bd64fe23605c048277e3ddb2e9e635914 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_446e2306b409ff8f/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e1-9c6b-7321-bc0a-42d65a039e51"} +{"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 NUMERIC)) AS \\\"total_measure\\\",\\n SUM(CAST(\\\"id\\\" AS NUMERIC)) * 100.0 / SUM(SUM(CAST(\\\"id\\\" AS NUMERIC))) OVER (PARTITION BY \\\"ord_0\\\") AS \\\"share_within_group\\\"\\nFROM \\\"c14\\\"\\nGROUP BY \\\"ord_0\\\", \\\"nom_9\\\"\\nORDER BY \\\"share_within_group\\\" DESC;\",\"notes\":\"Uses the planned within-group share template with group_col=\\\"ord_0\\\", item_col=\\\"nom_9\\\", and measure_col=\\\"id\\\". \\\"id\\\" is cast to NUMERIC because the SQLite schema stores it as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16026,"cached_input_tokens":12032,"output_tokens":1215,"reasoning_output_tokens":1034}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_446e2306b409ff8f/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_446e2306b409ff8f/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8953f4a7a04d02e7bad98487f70697159e4fb0d7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_446e2306b409ff8f/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 NUMERIC)) AS \"total_measure\",\n SUM(CAST(\"id\" AS NUMERIC)) * 100.0 / SUM(SUM(CAST(\"id\" AS NUMERIC))) OVER (PARTITION BY \"ord_0\") AS \"share_within_group\"\nFROM \"c14\"\nGROUP BY \"ord_0\", \"nom_9\"\nORDER BY \"share_within_group\" DESC;","notes":"Uses the planned within-group share template with group_col=\"ord_0\", item_col=\"nom_9\", and measure_col=\"id\". \"id\" is cast to NUMERIC because the SQLite schema stores it as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_446e2306b409ff8f/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_446e2306b409ff8f/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_47ee09a8393a248c/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_47ee09a8393a248c/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2cc0cce07a3284266e74361d83f0d818c9b0dfe2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_47ee09a8393a248c/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11857, "bytes_utf8": 11857, "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": 2006, "bytes_utf8": 2006, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15944, "cached_input_tokens": 14720, "output_tokens": 3552, "reasoning_output_tokens": 2876}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_47ee09a8393a248c/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_47ee09a8393a248c/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..2b6b8cdcff6465b5560776b8ba9d01ea32bf9693 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_47ee09a8393a248c/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_47ee09a8393a248c", + "api_calls": 0, + "input_tokens": 15944, + "cached_input_tokens": 14720, + "output_tokens": 3552, + "total_tokens": 19496, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 53141.16, + "sql_execution_elapsed_ms_total": 1192.29, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_47ee09a8393a248c/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_47ee09a8393a248c/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_47ee09a8393a248c/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..24498755059dff99eb494de85988ffb2f70716ae --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_47ee09a8393a248c/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:55:18.069426+00:00", + "ended_at": "2026-05-19T15:56:11.210608+00:00", + "elapsed_ms": 53141.16, + "prompt_metrics": { + "chars": 11857, + "bytes_utf8": 11857, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2700, + "bytes_utf8": 2700, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 2006, + "bytes_utf8": 2006, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15944, + "cached_input_tokens": 14720, + "output_tokens": 3552, + "reasoning_output_tokens": 2876 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_47ee09a8393a248c/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_47ee09a8393a248c/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..40c009f6129e1393f87a5c21c7bffb4bf0501779 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_47ee09a8393a248c/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "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=day.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "ord_4", + "measure_col": "day", + "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": 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 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_47ee09a8393a248c/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_47ee09a8393a248c/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..377771299d89141e786ec5f2649b27b28d07d100 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_47ee09a8393a248c/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f2-dbf1-7ec2-8f56-250bf14c1f63"} +{"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\\\" AS \\\"group_col\\\",\\n CAST(\\\"day\\\" AS REAL) AS \\\"measure\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"ord_4\\\"\\n ORDER BY CAST(\\\"day\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"ord_4\\\"\\n ) AS \\\"n\\\"\\n FROM \\\"c14\\\"\\n WHERE \\\"ord_4\\\" IS NOT NULL\\n AND \\\"day\\\" IS NOT NULL\\n),\\n\\\"params\\\" AS (\\n SELECT DISTINCT\\n \\\"group_col\\\",\\n \\\"n\\\",\\n (1.0 + 0.95 * (\\\"n\\\" - 1)) AS \\\"pos\\\",\\n CAST((1.0 + 0.95 * (\\\"n\\\" - 1)) AS INTEGER) AS \\\"lower_rn\\\",\\n CAST((1.0 + 0.95 * (\\\"n\\\" - 1)) AS INTEGER) + (((1.0 + 0.95 * (\\\"n\\\" - 1)) > CAST((1.0 + 0.95 * (\\\"n\\\" - 1)) AS INTEGER))) AS \\\"upper_rn\\\"\\n FROM \\\"ranked\\\"\\n WHERE \\\"n\\\" >= 5\\n),\\n\\\"picked\\\" AS (\\n SELECT\\n \\\"params\\\".\\\"group_col\\\",\\n \\\"params\\\".\\\"pos\\\",\\n \\\"params\\\".\\\"lower_rn\\\",\\n \\\"params\\\".\\\"upper_rn\\\",\\n MAX(CASE WHEN \\\"ranked\\\".\\\"rn\\\" = \\\"params\\\".\\\"lower_rn\\\" THEN \\\"ranked\\\".\\\"measure\\\" END) AS \\\"lower_val\\\",\\n MAX(CASE WHEN \\\"ranked\\\".\\\"rn\\\" = \\\"params\\\".\\\"upper_rn\\\" THEN \\\"ranked\\\".\\\"measure\\\" END) AS \\\"upper_val\\\"\\n FROM \\\"params\\\"\\n JOIN \\\"ranked\\\"\\n ON \\\"ranked\\\".\\\"group_col\\\" = \\\"params\\\".\\\"group_col\\\"\\n GROUP BY\\n \\\"params\\\".\\\"group_col\\\",\\n \\\"params\\\".\\\"pos\\\",\\n \\\"params\\\".\\\"lower_rn\\\",\\n \\\"params\\\".\\\"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 \\\"picked\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this emulates the 0.95 grouped percentile for \\\"day\\\" by \\\"ord_4\\\" using window functions and linear interpolation. \\\"day\\\" is cast from TEXT to REAL, NULLs are excluded, and groups with fewer than 5 rows are filtered out. No explicit target predicate was bound, so the query uses all rows.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15944,"cached_input_tokens":14720,"output_tokens":3552,"reasoning_output_tokens":2876}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_47ee09a8393a248c/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_47ee09a8393a248c/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5fa249eb83fac49a18c82963c79e24a764ea35f5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_47ee09a8393a248c/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n \"ord_4\" AS \"group_col\",\n CAST(\"day\" AS REAL) AS \"measure\",\n ROW_NUMBER() OVER (\n PARTITION BY \"ord_4\"\n ORDER BY CAST(\"day\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"ord_4\"\n ) AS \"n\"\n FROM \"c14\"\n WHERE \"ord_4\" IS NOT NULL\n AND \"day\" IS NOT NULL\n),\n\"params\" AS (\n SELECT DISTINCT\n \"group_col\",\n \"n\",\n (1.0 + 0.95 * (\"n\" - 1)) AS \"pos\",\n CAST((1.0 + 0.95 * (\"n\" - 1)) AS INTEGER) AS \"lower_rn\",\n CAST((1.0 + 0.95 * (\"n\" - 1)) AS INTEGER) + (((1.0 + 0.95 * (\"n\" - 1)) > CAST((1.0 + 0.95 * (\"n\" - 1)) AS INTEGER))) AS \"upper_rn\"\n FROM \"ranked\"\n WHERE \"n\" >= 5\n),\n\"picked\" AS (\n SELECT\n \"params\".\"group_col\",\n \"params\".\"pos\",\n \"params\".\"lower_rn\",\n \"params\".\"upper_rn\",\n MAX(CASE WHEN \"ranked\".\"rn\" = \"params\".\"lower_rn\" THEN \"ranked\".\"measure\" END) AS \"lower_val\",\n MAX(CASE WHEN \"ranked\".\"rn\" = \"params\".\"upper_rn\" THEN \"ranked\".\"measure\" END) AS \"upper_val\"\n FROM \"params\"\n JOIN \"ranked\"\n ON \"ranked\".\"group_col\" = \"params\".\"group_col\"\n GROUP BY\n \"params\".\"group_col\",\n \"params\".\"pos\",\n \"params\".\"lower_rn\",\n \"params\".\"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 \"picked\"\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite does not support PERCENTILE_CONT, so this emulates the 0.95 grouped percentile for \"day\" by \"ord_4\" using window functions and linear interpolation. \"day\" is cast from TEXT to REAL, NULLs are excluded, and groups with fewer than 5 rows are filtered out. No explicit target predicate was bound, so the query uses all rows."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_47ee09a8393a248c/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_47ee09a8393a248c/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_517eedbd39273b73/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_517eedbd39273b73/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d328cc02638ef7a6b16488b44d8ce0a133269e71 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_517eedbd39273b73/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11681, "bytes_utf8": 11681, "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": 380, "bytes_utf8": 380, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15906, "cached_input_tokens": 12032, "output_tokens": 562, "reasoning_output_tokens": 447}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_517eedbd39273b73/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_517eedbd39273b73/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..1139fc7f4b18d83a6bb70a3297040ebd7527d706 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_517eedbd39273b73/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_517eedbd39273b73", + "api_calls": 0, + "input_tokens": 15906, + "cached_input_tokens": 12032, + "output_tokens": 562, + "total_tokens": 16468, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13772.47, + "sql_execution_elapsed_ms_total": 143.14, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_517eedbd39273b73/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_517eedbd39273b73/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_517eedbd39273b73/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1ff9ec77038359fb1666012ac2f2fb3ff74f3141 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_517eedbd39273b73/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": "2026-05-19T15:29:38.678075+00:00", + "ended_at": "2026-05-19T15:29:52.450572+00:00", + "elapsed_ms": 13772.47, + "prompt_metrics": { + "chars": 11681, + "bytes_utf8": 11681, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 746, + "bytes_utf8": 746, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 380, + "bytes_utf8": 380, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15906, + "cached_input_tokens": 12032, + "output_tokens": 562, + "reasoning_output_tokens": 447 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_517eedbd39273b73/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_517eedbd39273b73/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c3735b08bfeed69058b8c365d6d0bd3c183fab89 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_517eedbd39273b73/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=bin_4, measure_col=id.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "bin_4", + "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": 172611.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_517eedbd39273b73/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_517eedbd39273b73/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..812ef9ecc1f1e8dd10ce4994a91ce5de05980828 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_517eedbd39273b73/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40db-5ea1-7283-9c6b-ef85421c71da"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"bin_4\\\", SUM(CAST(\\\"id\\\" AS NUMERIC)) AS \\\"total_measure\\\"\\nFROM \\\"c14\\\"\\nGROUP BY \\\"bin_4\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Used the provided Grouped Numeric Sum template with group_col=\\\"bin_4\\\" and measure_col=\\\"id\\\". \\\"id\\\" is stored as TEXT in the schema, so it is cast to NUMERIC for a SQLite-compatible sum.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15906,"cached_input_tokens":12032,"output_tokens":562,"reasoning_output_tokens":447}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_517eedbd39273b73/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_517eedbd39273b73/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..65948a31ef9d8073207d557116f3a2814179d2c8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_517eedbd39273b73/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"bin_4\", SUM(CAST(\"id\" AS NUMERIC)) AS \"total_measure\"\nFROM \"c14\"\nGROUP BY \"bin_4\"\nORDER BY \"total_measure\" DESC;","notes":"Used the provided Grouped Numeric Sum template with group_col=\"bin_4\" and measure_col=\"id\". \"id\" is stored as TEXT in the schema, so it is cast to NUMERIC for a SQLite-compatible sum."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_517eedbd39273b73/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_517eedbd39273b73/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_51eb68fcf1d20d93/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_51eb68fcf1d20d93/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..89270ce537c1d69e2f15fb6a4112429f3901b2c3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_51eb68fcf1d20d93/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": "2026-05-19T16:12:14.697085+00:00", + "ended_at": "2026-05-19T16:12:18.234423+00:00", + "elapsed_ms": 3537.31, + "returncode": 1, + "prompt_metrics": { + "chars": 11764, + "bytes_utf8": 11764, + "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_d/c14/artifacts/v2q_c14_51eb68fcf1d20d93/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_51eb68fcf1d20d93/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..5e5f4ebdda60459f914e1c9e435d829ccfa8235a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_51eb68fcf1d20d93/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:12:19.236580+00:00", + "ended_at": "2026-05-19T16:12:22.019831+00:00", + "elapsed_ms": 2783.22, + "returncode": 1, + "prompt_metrics": { + "chars": 11764, + "bytes_utf8": 11764, + "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_d/c14/artifacts/v2q_c14_51eb68fcf1d20d93/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_51eb68fcf1d20d93/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ffbc5ed5e8f44842d157f2be0c3c298cb2029121 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_51eb68fcf1d20d93/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=ord_2, measure_col=day.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "ord_2", + "measure_col": "day", + "top_k": 18, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 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 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_51eb68fcf1d20d93/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_51eb68fcf1d20d93/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..ffbc5ed5e8f44842d157f2be0c3c298cb2029121 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_51eb68fcf1d20d93/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=ord_2, measure_col=day.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "ord_2", + "measure_col": "day", + "top_k": 18, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 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 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_51eb68fcf1d20d93/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_51eb68fcf1d20d93/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..94828faa57b0bf89143e40881ddc47cdaa69e247 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_51eb68fcf1d20d93/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-5ee3-7f73-9719-28325c5251c5"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_51eb68fcf1d20d93/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_51eb68fcf1d20d93/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d89f590507d28aa7d1a2c2c2ec740cb034432ee3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_51eb68fcf1d20d93/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-5ee3-7f73-9719-28325c5251c5"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_51eb68fcf1d20d93/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_51eb68fcf1d20d93/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..75675a659343b6875f1ebd0681f43d2139e2e182 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_51eb68fcf1d20d93/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-7097-7452-a659-89104cdc4105"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_51eb68fcf1d20d93/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_51eb68fcf1d20d93/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..4abe04fdd8e243b490f3f77af096e2f0af2aa2d1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_51eb68fcf1d20d93/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-7097-7452-a659-89104cdc4105"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_51eb68fcf1d20d93/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_51eb68fcf1d20d93/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_51eb68fcf1d20d93/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_51eb68fcf1d20d93/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5366f9cd01f0a9d5/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5366f9cd01f0a9d5/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c7d5b3977b1b5bf63b9dea41e7a96cbe6a74fa19 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5366f9cd01f0a9d5/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:56:58.873543+00:00", + "ended_at": "2026-05-19T15:57:02.476972+00:00", + "elapsed_ms": 3603.4, + "returncode": 1, + "prompt_metrics": { + "chars": 11855, + "bytes_utf8": 11855, + "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_d/c14/artifacts/v2q_c14_5366f9cd01f0a9d5/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5366f9cd01f0a9d5/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4fc7ceb1b8c87a52546ddf78c1ffd904c8342c8d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5366f9cd01f0a9d5/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:57:03.479543+00:00", + "ended_at": "2026-05-19T15:57:07.055397+00:00", + "elapsed_ms": 3575.8, + "returncode": 1, + "prompt_metrics": { + "chars": 11855, + "bytes_utf8": 11855, + "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_d/c14/artifacts/v2q_c14_5366f9cd01f0a9d5/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5366f9cd01f0a9d5/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e876bbfdd972abc98449d34ffc1ad22b81ae0d9f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5366f9cd01f0a9d5/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=day, measure_col=month.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "day", + "measure_col": "month", + "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},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5366f9cd01f0a9d5/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5366f9cd01f0a9d5/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e876bbfdd972abc98449d34ffc1ad22b81ae0d9f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5366f9cd01f0a9d5/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=day, measure_col=month.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "day", + "measure_col": "month", + "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},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5366f9cd01f0a9d5/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5366f9cd01f0a9d5/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b8ffd11feefbf490555e42f0b697f7a1fdba298d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5366f9cd01f0a9d5/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f4-65a6-7452-9b3e-5e91fbd90263"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5366f9cd01f0a9d5/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5366f9cd01f0a9d5/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d6c54c2f0aae917c5f1f03fa62987cae184005e8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5366f9cd01f0a9d5/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f4-65a6-7452-9b3e-5e91fbd90263"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5366f9cd01f0a9d5/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5366f9cd01f0a9d5/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..73eded80a86644d71d49496f1bd4b2e967e330d4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5366f9cd01f0a9d5/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f4-7792-73e1-9a86-83aedad89f19"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5366f9cd01f0a9d5/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5366f9cd01f0a9d5/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..32f67ad9e113f6dbfbe65a43ec162b5ca605faf0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5366f9cd01f0a9d5/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f4-7792-73e1-9a86-83aedad89f19"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5366f9cd01f0a9d5/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5366f9cd01f0a9d5/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5366f9cd01f0a9d5/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5366f9cd01f0a9d5/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_567f5521d9676a0c/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_567f5521d9676a0c/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0ba7e45563b3a163f17e75e08d5843f2a16b7b39 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_567f5521d9676a0c/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12083, "bytes_utf8": 12083, "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": 553, "bytes_utf8": 553, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16025, "cached_input_tokens": 12032, "output_tokens": 688, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_567f5521d9676a0c/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_567f5521d9676a0c/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..0785758c3765a793d479b34b29a4657c52e7bcbb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_567f5521d9676a0c/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_567f5521d9676a0c", + "api_calls": 0, + "input_tokens": 16025, + "cached_input_tokens": 12032, + "output_tokens": 688, + "total_tokens": 16713, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12431.87, + "sql_execution_elapsed_ms_total": 307.06, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_567f5521d9676a0c/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_567f5521d9676a0c/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_567f5521d9676a0c/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ae1446de5ca93fb203ac794cbfd831095b6e8460 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_567f5521d9676a0c/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": "2026-05-19T15:37:43.955686+00:00", + "ended_at": "2026-05-19T15:37:56.387583+00:00", + "elapsed_ms": 12431.87, + "prompt_metrics": { + "chars": 12083, + "bytes_utf8": 12083, + "lines": 398, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 937, + "bytes_utf8": 937, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 553, + "bytes_utf8": 553, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16025, + "cached_input_tokens": 12032, + "output_tokens": 688, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_567f5521d9676a0c/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_567f5521d9676a0c/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7eecd11e12c7664842b3afc32b96d992a12ad049 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_567f5521d9676a0c/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "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=day.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "ord_2", + "measure_col": "day", + "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": 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 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_567f5521d9676a0c/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_567f5521d9676a0c/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..237b7d016e897b92713470fd50ce352c41838e96 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_567f5521d9676a0c/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e2-c60b-75b2-be3d-605fd3caca76"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"ord_2\\\", \\\"ord_5\\\",\\n SUM(CAST(\\\"day\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"day\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"day\\\" AS REAL))) OVER (PARTITION BY \\\"ord_2\\\") AS share_within_group\\nFROM \\\"c14\\\"\\nGROUP BY \\\"ord_2\\\", \\\"ord_5\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Used the provided Within-Group Share of Total template with group_col=\\\"ord_2\\\", item_col=\\\"ord_5\\\", and measure_col=\\\"day\\\". Cast \\\"day\\\" from TEXT to REAL so SUM is numerically robust in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16025,"cached_input_tokens":12032,"output_tokens":688,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_567f5521d9676a0c/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_567f5521d9676a0c/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..deb89ee12b15f59b75fd78f72ba718802031680d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_567f5521d9676a0c/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"ord_2\", \"ord_5\",\n SUM(CAST(\"day\" AS REAL)) AS total_measure,\n SUM(CAST(\"day\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"day\" AS REAL))) OVER (PARTITION BY \"ord_2\") AS share_within_group\nFROM \"c14\"\nGROUP BY \"ord_2\", \"ord_5\"\nORDER BY share_within_group DESC;","notes":"Used the provided Within-Group Share of Total template with group_col=\"ord_2\", item_col=\"ord_5\", and measure_col=\"day\". Cast \"day\" from TEXT to REAL so SUM is numerically robust in SQLite."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_567f5521d9676a0c/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_567f5521d9676a0c/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_56a709d0e0f409fa/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_56a709d0e0f409fa/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..05316dc55371b323348b07aee859b7a5f9a0dd98 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_56a709d0e0f409fa/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11859, "bytes_utf8": 11859, "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": 1839, "bytes_utf8": 1839, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15944, "cached_input_tokens": 12032, "output_tokens": 2707, "reasoning_output_tokens": 2070}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_56a709d0e0f409fa/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_56a709d0e0f409fa/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..d06ba825e26c342e19538c5acc4506d8291f620e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_56a709d0e0f409fa/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_56a709d0e0f409fa", + "api_calls": 0, + "input_tokens": 15944, + "cached_input_tokens": 12032, + "output_tokens": 2707, + "total_tokens": 18651, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 43000.56, + "sql_execution_elapsed_ms_total": 1305.3, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_56a709d0e0f409fa/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_56a709d0e0f409fa/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_56a709d0e0f409fa/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e0b7058dc661d551983348cbdf2d58dc940c1dcf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_56a709d0e0f409fa/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:01:09.177681+00:00", + "ended_at": "2026-05-19T16:01:52.178264+00:00", + "elapsed_ms": 43000.56, + "prompt_metrics": { + "chars": 11859, + "bytes_utf8": 11859, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2477, + "bytes_utf8": 2477, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 1839, + "bytes_utf8": 1839, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15944, + "cached_input_tokens": 12032, + "output_tokens": 2707, + "reasoning_output_tokens": 2070 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_56a709d0e0f409fa/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_56a709d0e0f409fa/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..680c84f7551717ddfb9388974aabecbe301452a8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_56a709d0e0f409fa/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=bin_1, measure_col=month.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "bin_1", + "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 {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_56a709d0e0f409fa/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_56a709d0e0f409fa/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a7dfdfd68a9deb103498be2503e2ea3a3ddec970 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_56a709d0e0f409fa/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-3778-7fc0-9950-fc2053e6e288"} +{"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 \\\"bin_1\\\",\\n CAST(\\\"month\\\" AS REAL) AS \\\"month_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"bin_1\\\"\\n ORDER BY CAST(\\\"month\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"bin_1\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"c14\\\"\\n WHERE \\\"month\\\" IS NOT NULL\\n),\\n\\\"bounds\\\" AS (\\n SELECT\\n \\\"bin_1\\\",\\n \\\"cnt\\\",\\n (1.0 + 0.9 * (\\\"cnt\\\" - 1)) AS \\\"target_pos\\\",\\n CAST((1.0 + 0.9 * (\\\"cnt\\\" - 1)) AS INTEGER) AS \\\"floor_rn\\\",\\n CAST((1.0 + 0.9 * (\\\"cnt\\\" - 1)) AS INTEGER) + CASE\\n WHEN (1.0 + 0.9 * (\\\"cnt\\\" - 1)) > CAST((1.0 + 0.9 * (\\\"cnt\\\" - 1)) AS INTEGER) THEN 1\\n ELSE 0\\n END AS \\\"ceil_rn\\\"\\n FROM \\\"ordered\\\"\\n GROUP BY \\\"bin_1\\\", \\\"cnt\\\"\\n),\\n\\\"points\\\" AS (\\n SELECT\\n b.\\\"bin_1\\\",\\n b.\\\"cnt\\\",\\n b.\\\"target_pos\\\",\\n b.\\\"floor_rn\\\",\\n b.\\\"ceil_rn\\\",\\n MAX(CASE WHEN o.\\\"rn\\\" = b.\\\"floor_rn\\\" THEN o.\\\"month_value\\\" END) AS \\\"floor_value\\\",\\n MAX(CASE WHEN o.\\\"rn\\\" = b.\\\"ceil_rn\\\" THEN o.\\\"month_value\\\" END) AS \\\"ceil_value\\\"\\n FROM \\\"bounds\\\" AS b\\n JOIN \\\"ordered\\\" AS o\\n ON o.\\\"bin_1\\\" = b.\\\"bin_1\\\"\\n GROUP BY b.\\\"bin_1\\\", b.\\\"cnt\\\", b.\\\"target_pos\\\", b.\\\"floor_rn\\\", b.\\\"ceil_rn\\\"\\n)\\nSELECT\\n \\\"bin_1\\\",\\n CASE\\n WHEN \\\"floor_rn\\\" = \\\"ceil_rn\\\" THEN \\\"floor_value\\\"\\n ELSE \\\"floor_value\\\" + (\\\"target_pos\\\" - \\\"floor_rn\\\") * (\\\"ceil_value\\\" - \\\"floor_value\\\")\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"points\\\"\\nWHERE \\\"cnt\\\" >= 5\\nORDER BY \\\"percentile_measure\\\" DESC, \\\"bin_1\\\";\",\"notes\":\"Uses the planned template roles with group_col=\\\"bin_1\\\" and measure_col=\\\"month\\\". Since SQLite lacks PERCENTILE_CONT, this emulates the continuous 90th percentile via ordered ranks and linear interpolation after casting \\\"month\\\" to REAL.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15944,"cached_input_tokens":12032,"output_tokens":2707,"reasoning_output_tokens":2070}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_56a709d0e0f409fa/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_56a709d0e0f409fa/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8dd1f285595e0b2473e1dc17e7b178f1399ea744 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_56a709d0e0f409fa/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ordered\" AS (\n SELECT\n \"bin_1\",\n CAST(\"month\" AS REAL) AS \"month_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"bin_1\"\n ORDER BY CAST(\"month\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"bin_1\"\n ) AS \"cnt\"\n FROM \"c14\"\n WHERE \"month\" IS NOT NULL\n),\n\"bounds\" AS (\n SELECT\n \"bin_1\",\n \"cnt\",\n (1.0 + 0.9 * (\"cnt\" - 1)) AS \"target_pos\",\n CAST((1.0 + 0.9 * (\"cnt\" - 1)) AS INTEGER) AS \"floor_rn\",\n CAST((1.0 + 0.9 * (\"cnt\" - 1)) AS INTEGER) + CASE\n WHEN (1.0 + 0.9 * (\"cnt\" - 1)) > CAST((1.0 + 0.9 * (\"cnt\" - 1)) AS INTEGER) THEN 1\n ELSE 0\n END AS \"ceil_rn\"\n FROM \"ordered\"\n GROUP BY \"bin_1\", \"cnt\"\n),\n\"points\" AS (\n SELECT\n b.\"bin_1\",\n b.\"cnt\",\n b.\"target_pos\",\n b.\"floor_rn\",\n b.\"ceil_rn\",\n MAX(CASE WHEN o.\"rn\" = b.\"floor_rn\" THEN o.\"month_value\" END) AS \"floor_value\",\n MAX(CASE WHEN o.\"rn\" = b.\"ceil_rn\" THEN o.\"month_value\" END) AS \"ceil_value\"\n FROM \"bounds\" AS b\n JOIN \"ordered\" AS o\n ON o.\"bin_1\" = b.\"bin_1\"\n GROUP BY b.\"bin_1\", b.\"cnt\", b.\"target_pos\", b.\"floor_rn\", b.\"ceil_rn\"\n)\nSELECT\n \"bin_1\",\n CASE\n WHEN \"floor_rn\" = \"ceil_rn\" THEN \"floor_value\"\n ELSE \"floor_value\" + (\"target_pos\" - \"floor_rn\") * (\"ceil_value\" - \"floor_value\")\n END AS \"percentile_measure\"\nFROM \"points\"\nWHERE \"cnt\" >= 5\nORDER BY \"percentile_measure\" DESC, \"bin_1\";","notes":"Uses the planned template roles with group_col=\"bin_1\" and measure_col=\"month\". Since SQLite lacks PERCENTILE_CONT, this emulates the continuous 90th percentile via ordered ranks and linear interpolation after casting \"month\" to REAL."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_56a709d0e0f409fa/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_56a709d0e0f409fa/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_56f9e3539cf0ac27/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_56f9e3539cf0ac27/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1bdbadc55d18687a852f3f717eee65c506314425 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_56f9e3539cf0ac27/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12088, "bytes_utf8": 12088, "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": 533, "bytes_utf8": 533, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16026, "cached_input_tokens": 12032, "output_tokens": 1088, "reasoning_output_tokens": 909}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_56f9e3539cf0ac27/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_56f9e3539cf0ac27/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..f386898c52eb03554c3d81874735058c42533b38 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_56f9e3539cf0ac27/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_56f9e3539cf0ac27", + "api_calls": 0, + "input_tokens": 16026, + "cached_input_tokens": 12032, + "output_tokens": 1088, + "total_tokens": 17114, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 19207.21, + "sql_execution_elapsed_ms_total": 322.68, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_56f9e3539cf0ac27/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_56f9e3539cf0ac27/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_56f9e3539cf0ac27/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..467e4f690c96839603137d3fb47b15c212e7f3ca --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_56f9e3539cf0ac27/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": "2026-05-19T15:38:26.651693+00:00", + "ended_at": "2026-05-19T15:38:45.858932+00:00", + "elapsed_ms": 19207.21, + "prompt_metrics": { + "chars": 12088, + "bytes_utf8": 12088, + "lines": 398, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 933, + "bytes_utf8": 933, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 533, + "bytes_utf8": 533, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16026, + "cached_input_tokens": 12032, + "output_tokens": 1088, + "reasoning_output_tokens": 909 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_56f9e3539cf0ac27/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_56f9e3539cf0ac27/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3396e509744a5d6375b81c98d3c5f2557e48ab67 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_56f9e3539cf0ac27/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=ord_4, measure_col=id.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "ord_4", + "measure_col": "id", + "item_col": "nom_5", + "top_k": 12, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 172611.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_56f9e3539cf0ac27/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_56f9e3539cf0ac27/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..0957fb8adacf794efbb456dbc38c1c30c3da233f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_56f9e3539cf0ac27/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e3-6d01-7450-ab92-a5aec34d6ff6"} +{"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_4\\\",\\n \\\"nom_5\\\",\\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_4\\\") AS \\\"share_within_group\\\"\\nFROM \\\"c14\\\"\\nGROUP BY \\\"ord_4\\\", \\\"nom_5\\\"\\nORDER BY \\\"share_within_group\\\" DESC\\nLIMIT 12;\",\"notes\":\"Uses the requested template with group_col=\\\"ord_4\\\", item_col=\\\"nom_5\\\", and measure_col=\\\"id\\\". \\\"id\\\" is cast from TEXT to REAL so it can be summed in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16026,"cached_input_tokens":12032,"output_tokens":1088,"reasoning_output_tokens":909}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_56f9e3539cf0ac27/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_56f9e3539cf0ac27/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..46334ec2bdb1c569d0b47a2718e1b31a83f7b109 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_56f9e3539cf0ac27/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"ord_4\",\n \"nom_5\",\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_4\") AS \"share_within_group\"\nFROM \"c14\"\nGROUP BY \"ord_4\", \"nom_5\"\nORDER BY \"share_within_group\" DESC\nLIMIT 12;","notes":"Uses the requested template with group_col=\"ord_4\", item_col=\"nom_5\", and measure_col=\"id\". \"id\" is cast from TEXT to REAL so it can be summed in SQLite."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_56f9e3539cf0ac27/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_56f9e3539cf0ac27/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_57c7b49494c49730/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_57c7b49494c49730/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..370082f6dca22565bea41c394af3674a8109dbe5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_57c7b49494c49730/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": "2026-05-19T16:12:39.535696+00:00", + "ended_at": "2026-05-19T16:12:42.819082+00:00", + "elapsed_ms": 3283.35, + "returncode": 1, + "prompt_metrics": { + "chars": 11767, + "bytes_utf8": 11767, + "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_d/c14/artifacts/v2q_c14_57c7b49494c49730/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_57c7b49494c49730/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..84afdf6926f0ee11b939ccc457c41acb0527124a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_57c7b49494c49730/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": "2026-05-19T16:12:43.821607+00:00", + "ended_at": "2026-05-19T16:12:46.986162+00:00", + "elapsed_ms": 3164.51, + "returncode": 1, + "prompt_metrics": { + "chars": 11767, + "bytes_utf8": 11767, + "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_d/c14/artifacts/v2q_c14_57c7b49494c49730/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_57c7b49494c49730/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..644b6b8eb73b296965ba5d1de2d943b0e84b9403 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_57c7b49494c49730/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "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": 172611.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_57c7b49494c49730/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_57c7b49494c49730/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..644b6b8eb73b296965ba5d1de2d943b0e84b9403 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_57c7b49494c49730/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "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": 172611.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_57c7b49494c49730/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_57c7b49494c49730/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..dbdd4e5ea0c56b67d026cc488af09a1df1fd1b73 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_57c7b49494c49730/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-bfe2-7822-9301-2c5be6adc0c2"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_57c7b49494c49730/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_57c7b49494c49730/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b359e834bae76393ae5173b1d296aa8c281e7924 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_57c7b49494c49730/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-bfe2-7822-9301-2c5be6adc0c2"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_57c7b49494c49730/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_57c7b49494c49730/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..66e37800d1d54a1bc06a2fd7095f71af0193e3d9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_57c7b49494c49730/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-d0af-7092-a9c5-48b9666e0f2a"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_57c7b49494c49730/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_57c7b49494c49730/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..cb35bfe80e24de803d1cf84e327ad7c36a9e2a59 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_57c7b49494c49730/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-d0af-7092-a9c5-48b9666e0f2a"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_57c7b49494c49730/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_57c7b49494c49730/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_57c7b49494c49730/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_57c7b49494c49730/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5d5c7c46f952be7d/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5d5c7c46f952be7d/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..880f737fa40a6b1aa4e5e2ffecf84e335ece2ff6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5d5c7c46f952be7d/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11924, "bytes_utf8": 11924, "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": 11924, "bytes_utf8": 11924, "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": 358, "bytes_utf8": 358, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15971, "cached_input_tokens": 12032, "output_tokens": 430, "reasoning_output_tokens": 324}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5d5c7c46f952be7d/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5d5c7c46f952be7d/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a725e5db089bfc692317a3d3745b195b58e00fd1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5d5c7c46f952be7d/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_5d5c7c46f952be7d", + "api_calls": 0, + "input_tokens": 15971, + "cached_input_tokens": 12032, + "output_tokens": 430, + "total_tokens": 16401, + "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": 12352.85, + "sql_execution_elapsed_ms_total": 171.98, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5d5c7c46f952be7d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5d5c7c46f952be7d/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5d5c7c46f952be7d/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6d296b043894ae88ee60398b341c3cbc371db5bb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5d5c7c46f952be7d/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": "2026-05-19T16:04:43.819013+00:00", + "ended_at": "2026-05-19T16:04:46.999427+00:00", + "elapsed_ms": 3180.36, + "returncode": 1, + "prompt_metrics": { + "chars": 11924, + "bytes_utf8": 11924, + "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_d/c14/artifacts/v2q_c14_5d5c7c46f952be7d/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5d5c7c46f952be7d/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..483d04c83967b4d8ffa4f17d4351455c654eef71 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5d5c7c46f952be7d/cli/sql_attempt_2.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:04:48.002086+00:00", + "ended_at": "2026-05-19T16:04:57.174611+00:00", + "elapsed_ms": 9172.49, + "prompt_metrics": { + "chars": 11924, + "bytes_utf8": 11924, + "lines": 399, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 709, + "bytes_utf8": 709, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 358, + "bytes_utf8": 358, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15971, + "cached_input_tokens": 12032, + "output_tokens": 430, + "reasoning_output_tokens": 324 + } + }, + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5d5c7c46f952be7d/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5d5c7c46f952be7d/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..205d2fed40eafc362eb8527726997430c93dd0a8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5d5c7c46f952be7d/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "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": "Cat", + "positive_value": "Cat", + "negative_value": "Dog", + "top_k": 12, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2.5, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5d5c7c46f952be7d/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5d5c7c46f952be7d/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..205d2fed40eafc362eb8527726997430c93dd0a8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5d5c7c46f952be7d/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "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": "Cat", + "positive_value": "Cat", + "negative_value": "Dog", + "top_k": 12, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2.5, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5d5c7c46f952be7d/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5d5c7c46f952be7d/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c9508c8c1b74990ecf17ed7230b20fb572102e6d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5d5c7c46f952be7d/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-7da9-78d0-b159-c68f712944e9"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5d5c7c46f952be7d/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5d5c7c46f952be7d/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2d4870928e995cf32b8b4fc095347833231b0939 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5d5c7c46f952be7d/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-7da9-78d0-b159-c68f712944e9"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5d5c7c46f952be7d/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5d5c7c46f952be7d/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..1af17aa3683c146711476336ac8dd12153347fa3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5d5c7c46f952be7d/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-8dfb-7f72-bb9f-d92fc56b4a78"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"nom_2\\\",\\n AVG(CASE WHEN \\\"nom_2\\\" = 'Cat' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"c14\\\"\\nGROUP BY \\\"nom_2\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Used the provided Grouped Condition Rate template with both group_col and condition_col bound to \\\"nom_2\\\" and condition_value 'Cat'.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15971,"cached_input_tokens":12032,"output_tokens":430,"reasoning_output_tokens":324}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5d5c7c46f952be7d/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5d5c7c46f952be7d/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..27b987051206a761787833031e18cfb644250eb9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5d5c7c46f952be7d/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"nom_2\",\n AVG(CASE WHEN \"nom_2\" = 'Cat' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"c14\"\nGROUP BY \"nom_2\"\nORDER BY condition_rate DESC;","notes":"Used the provided Grouped Condition Rate template with both group_col and condition_col bound to \"nom_2\" and condition_value 'Cat'."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5d5c7c46f952be7d/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5d5c7c46f952be7d/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5d5c7c46f952be7d/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5d5c7c46f952be7d/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5eb1df9284f04bc9/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5eb1df9284f04bc9/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f5e7fcfc1467bef1b2a6d49d7bb8812776d59ff2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5eb1df9284f04bc9/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11681, "bytes_utf8": 11681, "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": 360, "bytes_utf8": 360, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15906, "cached_input_tokens": 12032, "output_tokens": 620, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5eb1df9284f04bc9/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5eb1df9284f04bc9/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..240d2811886719c2c4d511f851ae20157b641378 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5eb1df9284f04bc9/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_5eb1df9284f04bc9", + "api_calls": 0, + "input_tokens": 15906, + "cached_input_tokens": 12032, + "output_tokens": 620, + "total_tokens": 16526, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 17791.07, + "sql_execution_elapsed_ms_total": 185.97, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5eb1df9284f04bc9/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5eb1df9284f04bc9/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5eb1df9284f04bc9/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..06e34181c56e012af7ecebe2e56a2d8ca9f30c0d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5eb1df9284f04bc9/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": "2026-05-19T15:30:54.721529+00:00", + "ended_at": "2026-05-19T15:31:12.512637+00:00", + "elapsed_ms": 17791.07, + "prompt_metrics": { + "chars": 11681, + "bytes_utf8": 11681, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1059, + "bytes_utf8": 1059, + "lines": 5, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 360, + "bytes_utf8": 360, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15906, + "cached_input_tokens": 12032, + "output_tokens": 620, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5eb1df9284f04bc9/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5eb1df9284f04bc9/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e3128182072221a235a0b0c7fd261a1b0e12700c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5eb1df9284f04bc9/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "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=month.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "nom_2", + "measure_col": "month", + "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}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5eb1df9284f04bc9/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5eb1df9284f04bc9/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0e5fe1b4a1ec224a611c0efb55e7c12a65a23d4f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5eb1df9284f04bc9/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"nom_2\", SUM(CAST(\"month\" AS INTEGER)) AS \"total_measure\"\nFROM \"c14\"\nGROUP BY \"nom_2\"\nORDER BY \"total_measure\" DESC;","notes":"Uses the requested grouped numeric sum template with group_col=\"nom_2\" and measure_col=\"month\". \"month\" is cast to INTEGER because the schema stores it as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_620e9bdd0eb9cb21/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_620e9bdd0eb9cb21/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ba1b83366af2c9568aa81d8cceb224ebd3b0f09a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_620e9bdd0eb9cb21/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": "2026-05-19T16:09:38.789510+00:00", + "ended_at": "2026-05-19T16:09:41.959812+00:00", + "elapsed_ms": 3170.26, + "returncode": 1, + "prompt_metrics": { + "chars": 11682, + "bytes_utf8": 11682, + "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_d/c14/artifacts/v2q_c14_620e9bdd0eb9cb21/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_620e9bdd0eb9cb21/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..83fc3bcdeda1ff8ca388d1e21f0c85a71c539f54 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_620e9bdd0eb9cb21/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": "2026-05-19T16:09:42.962886+00:00", + "ended_at": "2026-05-19T16:09:46.748088+00:00", + "elapsed_ms": 3785.16, + "returncode": 1, + "prompt_metrics": { + "chars": 11682, + "bytes_utf8": 11682, + "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_d/c14/artifacts/v2q_c14_620e9bdd0eb9cb21/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_620e9bdd0eb9cb21/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1aaf165d1d3fdc8fab29e88307ecd6ff885757b8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_620e9bdd0eb9cb21/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=month.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "month", + "top_k": 14, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 172611.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_620e9bdd0eb9cb21/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_620e9bdd0eb9cb21/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..1aaf165d1d3fdc8fab29e88307ecd6ff885757b8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_620e9bdd0eb9cb21/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=month.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "month", + "top_k": 14, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 172611.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_620e9bdd0eb9cb21/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_620e9bdd0eb9cb21/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c748907dd8d01705afd786f63c441a23eaaf0689 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_620e9bdd0eb9cb21/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-fde8-71c2-a039-477321dca3db"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_620e9bdd0eb9cb21/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_620e9bdd0eb9cb21/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4ec8070e7d90512d948d04e3064d845d80e3d9be --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_620e9bdd0eb9cb21/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-fde8-71c2-a039-477321dca3db"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_620e9bdd0eb9cb21/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_620e9bdd0eb9cb21/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..16e42c461dc4f3dd8ac87307b39a3333de0e3f76 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_620e9bdd0eb9cb21/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-0e4c-7191-9611-8fb64473e726"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_620e9bdd0eb9cb21/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_620e9bdd0eb9cb21/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..1c9c9612638e8093a5cd9d99b14ee01d7d1ddbed --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_620e9bdd0eb9cb21/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-0e4c-7191-9611-8fb64473e726"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_620e9bdd0eb9cb21/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_620e9bdd0eb9cb21/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_620e9bdd0eb9cb21/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_620e9bdd0eb9cb21/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_624680602b7c81d2/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_624680602b7c81d2/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..46b41e67d481431f27d99650702d48289243a7b3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_624680602b7c81d2/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12495, "bytes_utf8": 12495, "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": 693, "bytes_utf8": 693, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16116, "cached_input_tokens": 14720, "output_tokens": 717, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_624680602b7c81d2/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_624680602b7c81d2/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..06dcc9112d270622dc9c93d5d8e69b733a7f593c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_624680602b7c81d2/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_624680602b7c81d2", + "api_calls": 0, + "input_tokens": 16116, + "cached_input_tokens": 14720, + "output_tokens": 717, + "total_tokens": 16833, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13522.73, + "sql_execution_elapsed_ms_total": 183.19, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_624680602b7c81d2/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_624680602b7c81d2/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_624680602b7c81d2/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f81eb100124dcc9283342de21c1cf4ce3d042d3d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_624680602b7c81d2/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:42:51.904142+00:00", + "ended_at": "2026-05-19T15:43:05.426902+00:00", + "elapsed_ms": 13522.73, + "prompt_metrics": { + "chars": 12495, + "bytes_utf8": 12495, + "lines": 399, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1065, + "bytes_utf8": 1065, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 693, + "bytes_utf8": 693, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16116, + "cached_input_tokens": 14720, + "output_tokens": 717, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_624680602b7c81d2/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_624680602b7c81d2/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..022a12d83da2520f6c99e4a223e021082c02ee2f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_624680602b7c81d2/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=nom_3, condition_col=target.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "nom_3", + "condition_col": "target", + "condition_value": "0", + "positive_value": "0", + "negative_value": "1", + "top_k": 14, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 172611.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_624680602b7c81d2/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_624680602b7c81d2/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..d5ae7caa4c6c0ecb7641ac63016550345bb4aa9d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_624680602b7c81d2/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e7-790f-7c21-aac5-32b66d4a83d3"} +{"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\\n \\\"nom_3\\\",\\n SUM(CASE WHEN \\\"target\\\" = '0' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"target\\\" = '1' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"c14\\\"\\n GROUP BY \\\"nom_3\\\"\\n)\\nSELECT\\n \\\"nom_3\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC\\nLIMIT 14;\",\"notes\":\"Uses the grouped ratio template with group_col=\\\"nom_3\\\" and condition_col=\\\"target\\\", computing the ratio of target='0' to target='1' for each nom_3 group and returning the top 14 groups by that ratio.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16116,"cached_input_tokens":14720,"output_tokens":717,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_624680602b7c81d2/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_624680602b7c81d2/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3bfab8a58bf34bebabe0e52ba0c0193c48039ecc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_624680602b7c81d2/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT\n \"nom_3\",\n SUM(CASE WHEN \"target\" = '0' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"target\" = '1' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"c14\"\n GROUP BY \"nom_3\"\n)\nSELECT\n \"nom_3\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC\nLIMIT 14;","notes":"Uses the grouped ratio template with group_col=\"nom_3\" and condition_col=\"target\", computing the ratio of target='0' to target='1' for each nom_3 group and returning the top 14 groups by that ratio."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_624680602b7c81d2/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_624680602b7c81d2/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_66c28c7fa2641554/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_66c28c7fa2641554/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..34c09e093b9ad02332b88093dd005fcf04378903 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_66c28c7fa2641554/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e2-f7e6-7f13-bef5-f197236e23b8"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"ord_3\\\", \\\"id\\\",\\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 \\\"ord_3\\\") AS share_within_group\\nFROM \\\"c14\\\"\\nGROUP BY \\\"ord_3\\\", \\\"id\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the provided Within-Group Share of Total template with bindings group_col=ord_3, item_col=id, and measure_col=month. Cast month from TEXT to REAL for SQLite numeric aggregation.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16023,"cached_input_tokens":14720,"output_tokens":675,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6895db758334d6e0/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6895db758334d6e0/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ecb870afd484169321339a6c01e02e5efec7809b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6895db758334d6e0/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11995, "bytes_utf8": 11995, "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": 363, "bytes_utf8": 363, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16004, "cached_input_tokens": 14720, "output_tokens": 354, "reasoning_output_tokens": 236}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6895db758334d6e0/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6895db758334d6e0/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..6382370978f34d9bb9ced0e901c917f1ae70dff6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6895db758334d6e0/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_6895db758334d6e0", + "api_calls": 0, + "input_tokens": 16004, + "cached_input_tokens": 14720, + "output_tokens": 354, + "total_tokens": 16358, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14806.08, + "sql_execution_elapsed_ms_total": 98.19, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6895db758334d6e0/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6895db758334d6e0/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6895db758334d6e0/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..8b8d132a9b7470ee5e1b81cd755659f654a75721 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6895db758334d6e0/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:45:07.135299+00:00", + "ended_at": "2026-05-19T15:45:21.941410+00:00", + "elapsed_ms": 14806.08, + "prompt_metrics": { + "chars": 11995, + "bytes_utf8": 11995, + "lines": 400, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1063, + "bytes_utf8": 1063, + "lines": 5, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 363, + "bytes_utf8": 363, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16004, + "cached_input_tokens": 14720, + "output_tokens": 354, + "reasoning_output_tokens": 236 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6895db758334d6e0/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6895db758334d6e0/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..775bae1fe792b8010c31f717a82f8571073db5d9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6895db758334d6e0/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "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": "Red", + "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": 172611.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6895db758334d6e0/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6895db758334d6e0/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6627e6cb862b1329fe22be6f41fe16d6fb13e838 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6895db758334d6e0/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,5 @@ +{"type":"thread.started","thread_id":"019e40e9-8976-78a0-8176-34f046a7981a"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1998536, Requested 16639. Please try again in 455ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"bin_3\\\", \\\"ord_2\\\", COUNT(*) AS row_count\\nFROM \\\"c14\\\"\\nWHERE \\\"nom_0\\\" = 'Red'\\nGROUP BY \\\"bin_3\\\", \\\"ord_2\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Applied the provided filtered two-dimensional group count template with group_col=\\\"bin_3\\\", group_col_2=\\\"ord_2\\\", and predicate \\\"nom_0\\\" = 'Red'.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16004,"cached_input_tokens":14720,"output_tokens":354,"reasoning_output_tokens":236}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6895db758334d6e0/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6895db758334d6e0/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b22a86f2daebf77d48583d85c9bfab276a0eb8e2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6895db758334d6e0/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 \"c14\"\nWHERE \"nom_0\" = 'Red'\nGROUP BY \"bin_3\", \"ord_2\"\nORDER BY row_count DESC;","notes":"Applied the provided filtered two-dimensional group count template with group_col=\"bin_3\", group_col_2=\"ord_2\", and predicate \"nom_0\" = 'Red'."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6895db758334d6e0/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6895db758334d6e0/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6a6c643d0fc01b36/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6a6c643d0fc01b36/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..dacd69a18ad6eed69b87b47826f0fb6fab3b16e0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6a6c643d0fc01b36/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12239, "bytes_utf8": 12239, "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": 591, "bytes_utf8": 591, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16044, "cached_input_tokens": 14720, "output_tokens": 462, "reasoning_output_tokens": 293}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6a6c643d0fc01b36/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6a6c643d0fc01b36/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..51539e1c3922224388b5332bd2106e8be3b51b61 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6a6c643d0fc01b36/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_6a6c643d0fc01b36", + "api_calls": 0, + "input_tokens": 16044, + "cached_input_tokens": 14720, + "output_tokens": 462, + "total_tokens": 16506, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9953.89, + "sql_execution_elapsed_ms_total": 145.55, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6a6c643d0fc01b36/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6a6c643d0fc01b36/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6a6c643d0fc01b36/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b35658f7eadf85eacb8f51ef7d847af4fc2e245f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6a6c643d0fc01b36/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": "2026-05-19T15:48:00.704582+00:00", + "ended_at": "2026-05-19T15:48:10.658512+00:00", + "elapsed_ms": 9953.89, + "prompt_metrics": { + "chars": 12239, + "bytes_utf8": 12239, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 962, + "bytes_utf8": 962, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 591, + "bytes_utf8": 591, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16044, + "cached_input_tokens": 14720, + "output_tokens": 462, + "reasoning_output_tokens": 293 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6a6c643d0fc01b36/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6a6c643d0fc01b36/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..558a0bec5f428b9afe55e85c0bd45f50b2c9711f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6a6c643d0fc01b36/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=bin_0, measure_col=id.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "bin_0", + "measure_col": "id", + "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": 150351.84, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6a6c643d0fc01b36/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6a6c643d0fc01b36/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a664b4f41d53628c522fa62d33e5e8bc7ed1f4aa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6a6c643d0fc01b36/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ec-2fa8-7d43-a980-7a7be8d9e715"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"bin_0\\\", SUM(CAST(\\\"id\\\" AS REAL)) AS group_value\\n FROM \\\"c14\\\"\\n GROUP BY \\\"bin_0\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"bin_0\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.05\\nORDER BY g.group_value DESC;\",\"notes\":\"Used the required template with group_col=\\\"bin_0\\\" and measure_col=\\\"id\\\"; cast \\\"id\\\" to REAL so SUM works reliably in SQLite because the schema stores it as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16044,"cached_input_tokens":14720,"output_tokens":462,"reasoning_output_tokens":293}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6a6c643d0fc01b36/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6a6c643d0fc01b36/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a3fb7cd82809b0d686bb75646de4cf0d42905ef4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6a6c643d0fc01b36/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"bin_0\", SUM(CAST(\"id\" AS REAL)) AS group_value\n FROM \"c14\"\n GROUP BY \"bin_0\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"bin_0\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.05\nORDER BY g.group_value DESC;","notes":"Used the required template with group_col=\"bin_0\" and measure_col=\"id\"; cast \"id\" to REAL so SUM works reliably in SQLite because the schema stores it as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6a6c643d0fc01b36/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6a6c643d0fc01b36/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b08378e8034aee5/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b08378e8034aee5/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d5f5c182b238d6f73871e454ec71e67938d4933f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b08378e8034aee5/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11931, "bytes_utf8": 11931, "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": 11931, "bytes_utf8": 11931, "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": 483, "bytes_utf8": 483, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15972, "cached_input_tokens": 12032, "output_tokens": 300, "reasoning_output_tokens": 161}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b08378e8034aee5/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b08378e8034aee5/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..0341b408fe19da5da4684db050671e931082dacb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b08378e8034aee5/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_6b08378e8034aee5", + "api_calls": 0, + "input_tokens": 15972, + "cached_input_tokens": 12032, + "output_tokens": 300, + "total_tokens": 16272, + "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": 16653.32, + "sql_execution_elapsed_ms_total": 152.94, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b08378e8034aee5/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b08378e8034aee5/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b08378e8034aee5/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..3c22ed733458bd3a57d0b747dbf6b770ff5424e4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b08378e8034aee5/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": "2026-05-19T16:04:57.365932+00:00", + "ended_at": "2026-05-19T16:05:03.199939+00:00", + "elapsed_ms": 5833.98, + "returncode": 1, + "prompt_metrics": { + "chars": 11931, + "bytes_utf8": 11931, + "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_d/c14/artifacts/v2q_c14_6b08378e8034aee5/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b08378e8034aee5/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..06ac6486438f462ee50dec5f8526284aabf2051c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b08378e8034aee5/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": "2026-05-19T16:05:04.202448+00:00", + "ended_at": "2026-05-19T16:05:15.021834+00:00", + "elapsed_ms": 10819.34, + "prompt_metrics": { + "chars": 11931, + "bytes_utf8": 11931, + "lines": 399, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 838, + "bytes_utf8": 838, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 483, + "bytes_utf8": 483, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15972, + "cached_input_tokens": 12032, + "output_tokens": 300, + "reasoning_output_tokens": 161 + } + }, + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b08378e8034aee5/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b08378e8034aee5/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..07a72d47b2f7c567675e120ee7454792e50919af --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b08378e8034aee5/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=nom_2, condition_col=nom_2.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "nom_2", + "condition_col": "nom_2", + "condition_value": "Dog", + "positive_value": "Cat", + "negative_value": "Dog", + "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": 2.5, + "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_d/c14/artifacts/v2q_c14_6b08378e8034aee5/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b08378e8034aee5/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..07a72d47b2f7c567675e120ee7454792e50919af --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b08378e8034aee5/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=nom_2, condition_col=nom_2.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "nom_2", + "condition_col": "nom_2", + "condition_value": "Dog", + "positive_value": "Cat", + "negative_value": "Dog", + "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": 2.5, + "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_d/c14/artifacts/v2q_c14_6b08378e8034aee5/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b08378e8034aee5/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a4d949c4a76cd036e544ce05b16f555f3fe8891e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b08378e8034aee5/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-b295-77e1-83ef-b4d3168a7b10"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b08378e8034aee5/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b08378e8034aee5/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..dd8c88a74858f7ddc95dc8dc0f8ec200e0ebeeb0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b08378e8034aee5/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-b295-77e1-83ef-b4d3168a7b10"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b08378e8034aee5/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b08378e8034aee5/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..582bc13349652e2fb5789d9c26b9c2321d122806 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b08378e8034aee5/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-cd54-76d1-915e-2c4e6ce2fffd"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"nom_2\\\",\\n AVG(CASE WHEN \\\"nom_2\\\" = 'Dog' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"c14\\\"\\nGROUP BY \\\"nom_2\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Applied the provided Grouped Condition Rate template with group_col=\\\"nom_2\\\" and condition_col=\\\"nom_2\\\" using condition_value='Dog'. Because the grouping and condition columns are the same, the result shows 1.0 for the 'Dog' group and 0.0 for other groups.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15972,"cached_input_tokens":12032,"output_tokens":300,"reasoning_output_tokens":161}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b08378e8034aee5/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b08378e8034aee5/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..8af23092e3e329cdf3a06b122b48d340eb52b0c4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b08378e8034aee5/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"nom_2\",\n AVG(CASE WHEN \"nom_2\" = 'Dog' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"c14\"\nGROUP BY \"nom_2\"\nORDER BY condition_rate DESC;","notes":"Applied the provided Grouped Condition Rate template with group_col=\"nom_2\" and condition_col=\"nom_2\" using condition_value='Dog'. Because the grouping and condition columns are the same, the result shows 1.0 for the 'Dog' group and 0.0 for other groups."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b08378e8034aee5/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b08378e8034aee5/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b08378e8034aee5/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b08378e8034aee5/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b58c196509ad1f6/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b58c196509ad1f6/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6a3bb828ae1000e96009c6626f8236f362644b93 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b58c196509ad1f6/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11598, "bytes_utf8": 11598, "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": 277, "bytes_utf8": 277, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15881, "cached_input_tokens": 12032, "output_tokens": 409, "reasoning_output_tokens": 325}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b58c196509ad1f6/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b58c196509ad1f6/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5c27485da285ff1af9ffd13f9e5c70ce592ab24e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b58c196509ad1f6/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_6b58c196509ad1f6", + "api_calls": 0, + "input_tokens": 15881, + "cached_input_tokens": 12032, + "output_tokens": 409, + "total_tokens": 16290, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14842.89, + "sql_execution_elapsed_ms_total": 146.39, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b58c196509ad1f6/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b58c196509ad1f6/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b58c196509ad1f6/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b0abd5f541bb1260da39423151c851bbd4704707 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b58c196509ad1f6/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": "2026-05-19T15:32:18.129154+00:00", + "ended_at": "2026-05-19T15:32:32.972070+00:00", + "elapsed_ms": 14842.89, + "prompt_metrics": { + "chars": 11598, + "bytes_utf8": 11598, + "lines": 394, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 635, + "bytes_utf8": 635, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 277, + "bytes_utf8": 277, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15881, + "cached_input_tokens": 12032, + "output_tokens": 409, + "reasoning_output_tokens": 325 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b58c196509ad1f6/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b58c196509ad1f6/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..11251e74e9e53829be22dbe2daf92f89ed4975a8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b58c196509ad1f6/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=ord_4.", + "planned_template_id": "tpl_clickbench_group_count", + "bindings": { + "group_col": "ord_4", + "top_k": 14, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 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 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b58c196509ad1f6/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b58c196509ad1f6/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e9ad53e2e249db32227ee3e16f46dded047e77a2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b58c196509ad1f6/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40dd-cd69-74a0-bcd4-809e8b609113"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"ord_4\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"c14\\\"\\nGROUP BY \\\"ord_4\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Applied the planned grouped-count template with group_col bound to \\\"ord_4\\\" on the single table \\\"c14\\\".\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15881,"cached_input_tokens":12032,"output_tokens":409,"reasoning_output_tokens":325}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b58c196509ad1f6/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b58c196509ad1f6/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..88ca88a464454c8e515961c161886f436ffe9d36 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b58c196509ad1f6/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_clickbench_group_count\nSELECT \"ord_4\", COUNT(*) AS \"row_count\"\nFROM \"c14\"\nGROUP BY \"ord_4\"\nORDER BY \"row_count\" DESC;","notes":"Applied the planned grouped-count template with group_col bound to \"ord_4\" on the single table \"c14\"."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b58c196509ad1f6/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b58c196509ad1f6/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b6a9e0737d6e7c6/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b6a9e0737d6e7c6/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c825cb2fbcc6d2c81a96afb7f1ce21d0fce55408 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b6a9e0737d6e7c6/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12083, "bytes_utf8": 12083, "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": 557, "bytes_utf8": 557, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16021, "cached_input_tokens": 12032, "output_tokens": 609, "reasoning_output_tokens": 443}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b6a9e0737d6e7c6/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b6a9e0737d6e7c6/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..80c070510b6ccc64c96d28179065b7a2dbe03cbe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b6a9e0737d6e7c6/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_6b6a9e0737d6e7c6", + "api_calls": 0, + "input_tokens": 16021, + "cached_input_tokens": 12032, + "output_tokens": 609, + "total_tokens": 16630, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 19463.38, + "sql_execution_elapsed_ms_total": 353.69, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b6a9e0737d6e7c6/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b6a9e0737d6e7c6/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b6a9e0737d6e7c6/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4954aa80113fa2de9f298bd804a79bd5ba8213a0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b6a9e0737d6e7c6/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": "2026-05-19T15:39:58.069752+00:00", + "ended_at": "2026-05-19T15:40:17.533156+00:00", + "elapsed_ms": 19463.38, + "prompt_metrics": { + "chars": 12083, + "bytes_utf8": 12083, + "lines": 398, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 945, + "bytes_utf8": 945, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 557, + "bytes_utf8": 557, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16021, + "cached_input_tokens": 12032, + "output_tokens": 609, + "reasoning_output_tokens": 443 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b6a9e0737d6e7c6/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b6a9e0737d6e7c6/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a720cf5a3c4f27c9f0f300d2ae71d3815dd626bc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b6a9e0737d6e7c6/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "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=day.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "month", + "measure_col": "day", + "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": 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 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b6a9e0737d6e7c6/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b6a9e0737d6e7c6/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6f31cbaf90ba410c48ce0fec82d9ce0a6d529dc2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b6a9e0737d6e7c6/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e4-d200-7201-9c3d-eaa9a412c84f"} +{"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(\\\"day\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"day\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"day\\\" AS REAL))) OVER (PARTITION BY \\\"month\\\") AS share_within_group\\nFROM \\\"c14\\\"\\nGROUP BY \\\"month\\\", \\\"nom_7\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the planned Within-Group Share of Total template with group_col=\\\"month\\\", item_col=\\\"nom_7\\\", and measure_col=\\\"day\\\". CAST(\\\"day\\\" AS REAL) is used because the schema stores \\\"day\\\" as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16021,"cached_input_tokens":12032,"output_tokens":609,"reasoning_output_tokens":443}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b6a9e0737d6e7c6/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b6a9e0737d6e7c6/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..dd3c83f102b7da5cc54265582cb791b52a363e40 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b6a9e0737d6e7c6/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"month\", \"nom_7\",\n SUM(CAST(\"day\" AS REAL)) AS total_measure,\n SUM(CAST(\"day\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"day\" AS REAL))) OVER (PARTITION BY \"month\") AS share_within_group\nFROM \"c14\"\nGROUP BY \"month\", \"nom_7\"\nORDER BY share_within_group DESC;","notes":"Applied the planned Within-Group Share of Total template with group_col=\"month\", item_col=\"nom_7\", and measure_col=\"day\". CAST(\"day\" AS REAL) is used because the schema stores \"day\" as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b6a9e0737d6e7c6/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b6a9e0737d6e7c6/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6ccdee50324d17a4/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6ccdee50324d17a4/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a223b45ff12ab58ee6c2479903c7ab406635a135 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6ccdee50324d17a4/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12237, "bytes_utf8": 12237, "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": 723, "bytes_utf8": 723, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16048, "cached_input_tokens": 14720, "output_tokens": 728, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6ccdee50324d17a4/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6ccdee50324d17a4/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5938c058f79172b078bdeae3e9a4ac27b51fbce4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6ccdee50324d17a4/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_6ccdee50324d17a4", + "api_calls": 0, + "input_tokens": 16048, + "cached_input_tokens": 14720, + "output_tokens": 728, + "total_tokens": 16776, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14237.89, + "sql_execution_elapsed_ms_total": 149.49, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6ccdee50324d17a4/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6ccdee50324d17a4/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6ccdee50324d17a4/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a1038fecc0a0e4cd973a0dab00be824f6f4b541b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6ccdee50324d17a4/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": "2026-05-19T15:48:10.823681+00:00", + "ended_at": "2026-05-19T15:48:25.061601+00:00", + "elapsed_ms": 14237.89, + "prompt_metrics": { + "chars": 12237, + "bytes_utf8": 12237, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1108, + "bytes_utf8": 1108, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 723, + "bytes_utf8": 723, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16048, + "cached_input_tokens": 14720, + "output_tokens": 728, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6ccdee50324d17a4/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6ccdee50324d17a4/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d1b6ca6225de208a56f6a0bb5ef6f376e7a2fc42 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6ccdee50324d17a4/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=bin_1, measure_col=ord_0.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "bin_1", + "measure_col": "ord_0", + "top_k": 13, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 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_d/c14/artifacts/v2q_c14_6ccdee50324d17a4/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6ccdee50324d17a4/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..7569f3bc3806601dc60fbe7969960bbf2c2a72f6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6ccdee50324d17a4/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ec-56ce-7583-bba6-2e555be2e55e"} +{"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(\\\"ord_0\\\" AS REAL)) AS group_value\\n FROM \\\"c14\\\"\\n WHERE \\\"bin_1\\\" IS NOT NULL\\n AND \\\"ord_0\\\" IS NOT NULL\\n GROUP BY \\\"bin_1\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT\\n g.\\\"bin_1\\\",\\n g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\",\"notes\":\"Used the planned template with group_col=\\\"bin_1\\\" and measure_col=\\\"ord_0\\\". Cast \\\"ord_0\\\" to REAL because the SQLite schema stores it as TEXT, and filtered out NULLs to keep the grouped view stable.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16048,"cached_input_tokens":14720,"output_tokens":728,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6ccdee50324d17a4/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6ccdee50324d17a4/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1a6b02be8c3632075dbacd521408271227bdbb06 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6ccdee50324d17a4/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(\"ord_0\" AS REAL)) AS group_value\n FROM \"c14\"\n WHERE \"bin_1\" IS NOT NULL\n AND \"ord_0\" IS NOT NULL\n GROUP BY \"bin_1\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT\n g.\"bin_1\",\n g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.1\nORDER BY g.group_value DESC;","notes":"Used the planned template with group_col=\"bin_1\" and measure_col=\"ord_0\". Cast \"ord_0\" to REAL because the SQLite schema stores it as TEXT, and filtered out NULLs to keep the grouped view stable."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6ccdee50324d17a4/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6ccdee50324d17a4/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_72bb3f858db7de07/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_72bb3f858db7de07/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1332549c9e71d23d4d059d92200d39621233ac81 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_72bb3f858db7de07/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:08:11.007745+00:00", + "ended_at": "2026-05-19T16:08:14.270136+00:00", + "elapsed_ms": 3262.36, + "returncode": 1, + "prompt_metrics": { + "chars": 11621, + "bytes_utf8": 11621, + "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_d/c14/artifacts/v2q_c14_72bb3f858db7de07/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_72bb3f858db7de07/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..43ed3a8426c3655c20841d94496f4e2c1e03281b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_72bb3f858db7de07/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": "2026-05-19T16:08:15.272611+00:00", + "ended_at": "2026-05-19T16:08:18.364411+00:00", + "elapsed_ms": 3091.75, + "returncode": 1, + "prompt_metrics": { + "chars": 11621, + "bytes_utf8": 11621, + "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_d/c14/artifacts/v2q_c14_72bb3f858db7de07/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_72bb3f858db7de07/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f809ed24ac6f2e55e45ee1e7e50087375b13f16c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_72bb3f858db7de07/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "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": 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": 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 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_72bb3f858db7de07/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_72bb3f858db7de07/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..f809ed24ac6f2e55e45ee1e7e50087375b13f16c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_72bb3f858db7de07/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "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": 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": 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 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_72bb3f858db7de07/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_72bb3f858db7de07/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..1094f5027b151145b31bc237bd7dea48f8ad30fc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_72bb3f858db7de07/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-a6fa-7dc3-bcaa-a7515d91247a"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_72bb3f858db7de07/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_72bb3f858db7de07/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..02955dcd76ad0300a877895dd8304ad81ae6a595 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_72bb3f858db7de07/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-a6fa-7dc3-bcaa-a7515d91247a"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_72bb3f858db7de07/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_72bb3f858db7de07/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..26ec3fb206642a2b3ad94cd42af5cbd6010db6bb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_72bb3f858db7de07/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-b7b0-7f80-8851-6ce2579e6aa4"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_72bb3f858db7de07/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_72bb3f858db7de07/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..a938efcab50e0e5c0c16925b1cf65951ceb01180 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_72bb3f858db7de07/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-b7b0-7f80-8851-6ce2579e6aa4"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_72bb3f858db7de07/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_72bb3f858db7de07/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_72bb3f858db7de07/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_72bb3f858db7de07/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_74e6799ea1d4d584/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_74e6799ea1d4d584/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6efe174abb93c3723cf6f2aac9f02c14c1ec4435 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_74e6799ea1d4d584/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11681, "bytes_utf8": 11681, "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": 372, "bytes_utf8": 372, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15910, "cached_input_tokens": 12288, "output_tokens": 445, "reasoning_output_tokens": 330}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_74e6799ea1d4d584/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_74e6799ea1d4d584/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..224e1276d913b2152c769b30c28a7652a8fe58b8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_74e6799ea1d4d584/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_74e6799ea1d4d584", + "api_calls": 0, + "input_tokens": 15910, + "cached_input_tokens": 12288, + "output_tokens": 445, + "total_tokens": 16355, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15589.9, + "sql_execution_elapsed_ms_total": 168.55, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_74e6799ea1d4d584/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_74e6799ea1d4d584/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_74e6799ea1d4d584/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f397af3d2007bc66ac5e2a6f20455d256ab93c5d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_74e6799ea1d4d584/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": "2026-05-19T15:30:02.246348+00:00", + "ended_at": "2026-05-19T15:30:17.836280+00:00", + "elapsed_ms": 15589.9, + "prompt_metrics": { + "chars": 11681, + "bytes_utf8": 11681, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1065, + "bytes_utf8": 1065, + "lines": 5, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 372, + "bytes_utf8": 372, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15910, + "cached_input_tokens": 12288, + "output_tokens": 445, + "reasoning_output_tokens": 330 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_74e6799ea1d4d584/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_74e6799ea1d4d584/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..eacd615ddca30393d1c68aa581ca0c8e479ad30a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_74e6799ea1d4d584/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "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=ord_0.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "nom_0", + "measure_col": "ord_0", + "top_k": 10, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 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}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_74e6799ea1d4d584/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_74e6799ea1d4d584/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..2c67fe87d2a93840a0d43e59ac1a5b79b29503d7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_74e6799ea1d4d584/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,5 @@ +{"type":"thread.started","thread_id":"019e40db-ba96-7840-a608-73932ae488c4"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 16545. Please try again in 496ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT\\n \\\"nom_0\\\",\\n SUM(CAST(\\\"ord_0\\\" AS NUMERIC)) AS total_measure\\nFROM \\\"c14\\\"\\nGROUP BY \\\"nom_0\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Applied the planned grouped numeric sum template with group_col=\\\"nom_0\\\" and measure_col=\\\"ord_0\\\". \\\"ord_0\\\" is cast to NUMERIC because it is stored as TEXT in the SQLite schema.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15910,"cached_input_tokens":12288,"output_tokens":445,"reasoning_output_tokens":330}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_74e6799ea1d4d584/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_74e6799ea1d4d584/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..bf2e4afb92fec8237a6cc170d8f559a6ddc9b5fc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_74e6799ea1d4d584/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT\n \"nom_0\",\n SUM(CAST(\"ord_0\" AS NUMERIC)) AS total_measure\nFROM \"c14\"\nGROUP BY \"nom_0\"\nORDER BY total_measure DESC;","notes":"Applied the planned grouped numeric sum template with group_col=\"nom_0\" and measure_col=\"ord_0\". \"ord_0\" is cast to NUMERIC because it is stored as TEXT in the SQLite schema."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_74e6799ea1d4d584/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_74e6799ea1d4d584/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_7709c3309351d795/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_7709c3309351d795/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..599c71152f6d05f4debf528e2d1f8d0190f5ff98 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_7709c3309351d795/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": "2026-05-19T16:11:42.374940+00:00", + "ended_at": "2026-05-19T16:11:45.495024+00:00", + "elapsed_ms": 3120.0, + "returncode": 1, + "prompt_metrics": { + "chars": 11767, + "bytes_utf8": 11767, + "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_d/c14/artifacts/v2q_c14_7709c3309351d795/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_7709c3309351d795/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..ab373a0f99f1ce0cd3cac94eff918b20f6151120 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_7709c3309351d795/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "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=id.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "ord_0", + "measure_col": "id", + "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": 172611.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_7709c3309351d795/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_7709c3309351d795/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a2d28683fb6fbb929d974905c98db1962ace6341 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_7709c3309351d795/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-d17c-7051-9da4-ca455086760f"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_7709c3309351d795/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_7709c3309351d795/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..87b2b0ab5b0d1fa2aa9cc2b9725dfe8286e55d99 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_7709c3309351d795/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-e0a6-7383-a323-c00e66a9708b"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_7709c3309351d795/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_7709c3309351d795/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_7c6fb7530c4dbdc6/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_7c6fb7530c4dbdc6/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c2f39913176567914c94b71934fd3cdddc820d01 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_7c6fb7530c4dbdc6/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11598, "bytes_utf8": 11598, "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": 292, "bytes_utf8": 292, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15881, "cached_input_tokens": 14720, "output_tokens": 307, "reasoning_output_tokens": 223}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_7c6fb7530c4dbdc6/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_7c6fb7530c4dbdc6/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..9096450b1de81d5148913f60a0ca8ef426814678 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_7c6fb7530c4dbdc6/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_7c6fb7530c4dbdc6", + "api_calls": 0, + "input_tokens": 15881, + "cached_input_tokens": 14720, + "output_tokens": 307, + "total_tokens": 16188, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 7935.15, + "sql_execution_elapsed_ms_total": 100.17, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_7c6fb7530c4dbdc6/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_7c6fb7530c4dbdc6/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_7c6fb7530c4dbdc6/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4b2c5a628107add2e9f84f041a7fe6884cf82713 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_7c6fb7530c4dbdc6/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": "2026-05-19T15:33:25.571766+00:00", + "ended_at": "2026-05-19T15:33:33.506947+00:00", + "elapsed_ms": 7935.15, + "prompt_metrics": { + "chars": 11598, + "bytes_utf8": 11598, + "lines": 394, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 646, + "bytes_utf8": 646, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 292, + "bytes_utf8": 292, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15881, + "cached_input_tokens": 14720, + "output_tokens": 307, + "reasoning_output_tokens": 223 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_7c6fb7530c4dbdc6/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_7c6fb7530c4dbdc6/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e7d6fd45290b03f7bcadc220a33c0c2e7576471b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_7c6fb7530c4dbdc6/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "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": 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 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_7c6fb7530c4dbdc6/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_7c6fb7530c4dbdc6/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..0d5575f75eaf6467b17b630b6f9a257bd57c255a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_7c6fb7530c4dbdc6/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40de-d4cf-7423-aec4-12b068152b66"} +{"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 \\\"c14\\\"\\nGROUP BY \\\"bin_0\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Applies the Grouped Count by Category template with group_col fixed to \\\"bin_0\\\" to inspect subgroup count distribution.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15881,"cached_input_tokens":14720,"output_tokens":307,"reasoning_output_tokens":223}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_7c6fb7530c4dbdc6/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_7c6fb7530c4dbdc6/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3e3770dbe28cd8291b121bc0be5cc43275b176e7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_7c6fb7530c4dbdc6/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_clickbench_group_count\nSELECT \"bin_0\", COUNT(*) AS \"row_count\"\nFROM \"c14\"\nGROUP BY \"bin_0\"\nORDER BY \"row_count\" DESC;","notes":"Applies the Grouped Count by Category template with group_col fixed to \"bin_0\" to inspect subgroup count distribution."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_7c6fb7530c4dbdc6/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_7c6fb7530c4dbdc6/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8022064a305ee515/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8022064a305ee515/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7aff09d670f09a52694feb60ffcff07e167a5da1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8022064a305ee515/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12083, "bytes_utf8": 12083, "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": 529, "bytes_utf8": 529, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16025, "cached_input_tokens": 14720, "output_tokens": 684, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8022064a305ee515/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8022064a305ee515/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..418b2c6b4f19b06a8f9aa4017e493a9889adf277 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8022064a305ee515/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_8022064a305ee515", + "api_calls": 0, + "input_tokens": 16025, + "cached_input_tokens": 14720, + "output_tokens": 684, + "total_tokens": 16709, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15565.64, + "sql_execution_elapsed_ms_total": 341.64, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8022064a305ee515/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8022064a305ee515/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8022064a305ee515/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..0afd892cbf8ceda4a2b7f8d55dce7fca10c3916f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8022064a305ee515/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:35:39.518445+00:00", + "ended_at": "2026-05-19T15:35:55.084117+00:00", + "elapsed_ms": 15565.64, + "prompt_metrics": { + "chars": 12083, + "bytes_utf8": 12083, + "lines": 398, + "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": 529, + "bytes_utf8": 529, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16025, + "cached_input_tokens": 14720, + "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_d/c14/artifacts/v2q_c14_8022064a305ee515/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8022064a305ee515/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ed1b48657df50f7d10bf02c7b9e5f7c682419b98 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8022064a305ee515/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=nom_3, measure_col=day.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "nom_3", + "measure_col": "day", + "item_col": "nom_7", + "top_k": 16, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 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 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8022064a305ee515/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8022064a305ee515/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..69c4a0dea990cdeb1ea1accded87567592e0ede8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8022064a305ee515/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e0-e00d-7952-94f7-1f6af9272103"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"nom_3\\\", \\\"nom_7\\\",\\n SUM(CAST(\\\"day\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"day\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"day\\\" AS REAL))) OVER (PARTITION BY \\\"nom_3\\\") AS share_within_group\\nFROM \\\"c14\\\"\\nGROUP BY \\\"nom_3\\\", \\\"nom_7\\\"\\nORDER BY share_within_group DESC\\nLIMIT 16;\",\"notes\":\"Applied the requested Within-Group Share of Total template with \\\"nom_3\\\" as the group, \\\"nom_7\\\" as the item, and \\\"day\\\" cast to REAL for aggregation in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16025,"cached_input_tokens":14720,"output_tokens":684,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8022064a305ee515/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8022064a305ee515/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c759a34c32ecb2b94e7a1606c1a6969f029bf1f0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8022064a305ee515/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"nom_3\", \"nom_7\",\n SUM(CAST(\"day\" AS REAL)) AS total_measure,\n SUM(CAST(\"day\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"day\" AS REAL))) OVER (PARTITION BY \"nom_3\") AS share_within_group\nFROM \"c14\"\nGROUP BY \"nom_3\", \"nom_7\"\nORDER BY share_within_group DESC\nLIMIT 16;","notes":"Applied the requested Within-Group Share of Total template with \"nom_3\" as the group, \"nom_7\" as the item, and \"day\" cast to REAL for aggregation in SQLite."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8022064a305ee515/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8022064a305ee515/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_83ca6d94e3f2a9d3/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_83ca6d94e3f2a9d3/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..429437aeea8309e1af18692d096c6211f23c6b9d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_83ca6d94e3f2a9d3/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12239, "bytes_utf8": 12239, "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": 567, "bytes_utf8": 567, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16042, "cached_input_tokens": 14720, "output_tokens": 592, "reasoning_output_tokens": 430}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_83ca6d94e3f2a9d3/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_83ca6d94e3f2a9d3/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a7019103c9a8c99f7bdd6e7484337a072d2672a6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_83ca6d94e3f2a9d3/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_83ca6d94e3f2a9d3", + "api_calls": 0, + "input_tokens": 16042, + "cached_input_tokens": 14720, + "output_tokens": 592, + "total_tokens": 16634, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11970.14, + "sql_execution_elapsed_ms_total": 188.65, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_83ca6d94e3f2a9d3/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_83ca6d94e3f2a9d3/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_83ca6d94e3f2a9d3/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..3cdea4a270e0dcfc36df11781a6aac9996d20e74 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_83ca6d94e3f2a9d3/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": "2026-05-19T15:51:04.417702+00:00", + "ended_at": "2026-05-19T15:51:16.387877+00:00", + "elapsed_ms": 11970.14, + "prompt_metrics": { + "chars": 12239, + "bytes_utf8": 12239, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 934, + "bytes_utf8": 934, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 567, + "bytes_utf8": 567, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16042, + "cached_input_tokens": 14720, + "output_tokens": 592, + "reasoning_output_tokens": 430 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_83ca6d94e3f2a9d3/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_83ca6d94e3f2a9d3/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3d56a76bf16a08bd5bd392cf2ac87022ca25da20 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_83ca6d94e3f2a9d3/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=nom_2, measure_col=month.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "nom_2", + "measure_col": "month", + "top_k": 19, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 8.64, + "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_d/c14/artifacts/v2q_c14_83ca6d94e3f2a9d3/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_83ca6d94e3f2a9d3/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..8c8db332238cc435a3ce17e93a7ede1465b27ee4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_83ca6d94e3f2a9d3/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ee-fd0f-7b91-97fa-3b40c92a8713"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold.\\nWITH grouped AS (\\n SELECT \\\"nom_2\\\", SUM(CAST(\\\"month\\\" AS REAL)) AS group_value\\n FROM \\\"c14\\\"\\n GROUP BY \\\"nom_2\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"nom_2\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.05\\nORDER BY g.group_value DESC;\",\"notes\":\"Uses the requested Relative-to-Total Extreme Threshold template with \\\"nom_2\\\" as group_col and numeric-coerced \\\"month\\\" as measure_col.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16042,"cached_input_tokens":14720,"output_tokens":592,"reasoning_output_tokens":430}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_83ca6d94e3f2a9d3/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_83ca6d94e3f2a9d3/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a83ef5cdf8d18fb5553312c64c89ac99dc0f9a7e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_83ca6d94e3f2a9d3/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold.\nWITH grouped AS (\n SELECT \"nom_2\", SUM(CAST(\"month\" AS REAL)) AS group_value\n FROM \"c14\"\n GROUP BY \"nom_2\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"nom_2\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.05\nORDER BY g.group_value DESC;","notes":"Uses the requested Relative-to-Total Extreme Threshold template with \"nom_2\" as group_col and numeric-coerced \"month\" as measure_col."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_83ca6d94e3f2a9d3/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_83ca6d94e3f2a9d3/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_88f5f656736285ad/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_88f5f656736285ad/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a30c3953af9fb757475cfce5fca00534eafd07b4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_88f5f656736285ad/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11683, "bytes_utf8": 11683, "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": 383, "bytes_utf8": 383, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15906, "cached_input_tokens": 12032, "output_tokens": 567, "reasoning_output_tokens": 453}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_88f5f656736285ad/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_88f5f656736285ad/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..46be645aa8861785869a36b58994de8e7f37ac99 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_88f5f656736285ad/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_88f5f656736285ad", + "api_calls": 0, + "input_tokens": 15906, + "cached_input_tokens": 12032, + "output_tokens": 567, + "total_tokens": 16473, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10873.85, + "sql_execution_elapsed_ms_total": 136.57, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_88f5f656736285ad/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_88f5f656736285ad/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_88f5f656736285ad/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..59af8e27c50127c3f51107116f3ace341ec86a9c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_88f5f656736285ad/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": "2026-05-19T15:28:30.053091+00:00", + "ended_at": "2026-05-19T15:28:40.926974+00:00", + "elapsed_ms": 10873.85, + "prompt_metrics": { + "chars": 11683, + "bytes_utf8": 11683, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 753, + "bytes_utf8": 753, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 383, + "bytes_utf8": 383, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15906, + "cached_input_tokens": 12032, + "output_tokens": 567, + "reasoning_output_tokens": 453 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_88f5f656736285ad/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_88f5f656736285ad/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..30e601405dec09115d9e248fec634f5adcb93a30 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_88f5f656736285ad/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "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": 150351.84, + "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_d/c14/artifacts/v2q_c14_88f5f656736285ad/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_88f5f656736285ad/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f0ad475c9f12df647a19092ae9797e2d1b4116b2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_88f5f656736285ad/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40da-526d-7073-90ab-33de62ccea1d"} +{"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 \\\"c14\\\"\\nGROUP BY \\\"bin_0\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Used the planned template with group_col=\\\"bin_0\\\" and measure_col=\\\"id\\\". CAST(\\\"id\\\" AS NUMERIC) was added because the schema stores \\\"id\\\" as TEXT while the template requires a numeric sum.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15906,"cached_input_tokens":12032,"output_tokens":567,"reasoning_output_tokens":453}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_88f5f656736285ad/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_88f5f656736285ad/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..77b6cb6fe667d63378923eeb1f92b220a08a19ee --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_88f5f656736285ad/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 \"c14\"\nGROUP BY \"bin_0\"\nORDER BY \"total_measure\" DESC;","notes":"Used the planned template with group_col=\"bin_0\" and measure_col=\"id\". CAST(\"id\" AS NUMERIC) was added because the schema stores \"id\" as TEXT while the template requires a numeric sum."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_88f5f656736285ad/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_88f5f656736285ad/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8aa4a72b51e79438/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8aa4a72b51e79438/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9fa23fe6b5a557c8fd528c997780b92140bb5043 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8aa4a72b51e79438/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11597, "bytes_utf8": 11597, "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": 267, "bytes_utf8": 267, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15881, "cached_input_tokens": 14720, "output_tokens": 190, "reasoning_output_tokens": 110}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8aa4a72b51e79438/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8aa4a72b51e79438/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a45132748a19d44811d84be63e8f20d34463fe03 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8aa4a72b51e79438/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_8aa4a72b51e79438", + "api_calls": 0, + "input_tokens": 15881, + "cached_input_tokens": 14720, + "output_tokens": 190, + "total_tokens": 16071, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14370.55, + "sql_execution_elapsed_ms_total": 144.93, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8aa4a72b51e79438/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8aa4a72b51e79438/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8aa4a72b51e79438/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..122a7144eb3e567c321d414714065fb22b9dfcd9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8aa4a72b51e79438/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": "2026-05-19T15:32:03.594627+00:00", + "ended_at": "2026-05-19T15:32:17.965201+00:00", + "elapsed_ms": 14370.55, + "prompt_metrics": { + "chars": 11597, + "bytes_utf8": 11597, + "lines": 394, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1283, + "bytes_utf8": 1283, + "lines": 6, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 267, + "bytes_utf8": 267, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15881, + "cached_input_tokens": 14720, + "output_tokens": 190, + "reasoning_output_tokens": 110 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8aa4a72b51e79438/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8aa4a72b51e79438/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6ef29271e0dfd85f768a9e7825dd7614afd691af --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8aa4a72b51e79438/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=ord_3.", + "planned_template_id": "tpl_clickbench_group_count", + "bindings": { + "group_col": "ord_3", + "top_k": 13, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 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_d/c14/artifacts/v2q_c14_8aa4a72b51e79438/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8aa4a72b51e79438/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..dbaae9d85e7981945f443a6c9b479bc261959f30 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8aa4a72b51e79438/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,6 @@ +{"type":"thread.started","thread_id":"019e40dd-949b-7ab0-9f15-4d7a6ddbceb3"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1987767, Requested 16516. Please try again in 128ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 3/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1992132, Requested 16516. Please try again in 259ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"ord_3\\\", COUNT(*) AS row_count\\nFROM \\\"c14\\\"\\nGROUP BY \\\"ord_3\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Uses the provided grouped-count template with group_col bound to \\\"ord_3\\\" on the single table \\\"c14\\\".\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15881,"cached_input_tokens":14720,"output_tokens":190,"reasoning_output_tokens":110}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8aa4a72b51e79438/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8aa4a72b51e79438/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..697558922ae0f5a4b0fe5fd5e81c6580105f84e3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8aa4a72b51e79438/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_clickbench_group_count\nSELECT \"ord_3\", COUNT(*) AS row_count\nFROM \"c14\"\nGROUP BY \"ord_3\"\nORDER BY row_count DESC;","notes":"Uses the provided grouped-count template with group_col bound to \"ord_3\" on the single table \"c14\"."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8aa4a72b51e79438/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8aa4a72b51e79438/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8bb1acc3c438df88/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8bb1acc3c438df88/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9e136319eb74813d3a3bcccfc6f6aa3d118495c8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8bb1acc3c438df88/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11681, "bytes_utf8": 11681, "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": 349, "bytes_utf8": 349, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15906, "cached_input_tokens": 4480, "output_tokens": 385, "reasoning_output_tokens": 288}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8bb1acc3c438df88/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8bb1acc3c438df88/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..4e85ae3a0d0c84bb3a40fc798aaa8ebc5c7e3e0c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8bb1acc3c438df88/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_8bb1acc3c438df88", + "api_calls": 0, + "input_tokens": 15906, + "cached_input_tokens": 4480, + "output_tokens": 385, + "total_tokens": 16291, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9088.99, + "sql_execution_elapsed_ms_total": 137.72, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8bb1acc3c438df88/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8bb1acc3c438df88/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8bb1acc3c438df88/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..446d201237cb8ed314f4b22413d03a4878c40f96 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8bb1acc3c438df88/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": "2026-05-19T15:29:19.204509+00:00", + "ended_at": "2026-05-19T15:29:28.293524+00:00", + "elapsed_ms": 9088.99, + "prompt_metrics": { + "chars": 11681, + "bytes_utf8": 11681, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 702, + "bytes_utf8": 702, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 349, + "bytes_utf8": 349, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15906, + "cached_input_tokens": 4480, + "output_tokens": 385, + "reasoning_output_tokens": 288 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8bb1acc3c438df88/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8bb1acc3c438df88/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5c51b0baf66d43f4d5a9eff308282733a6c65909 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8bb1acc3c438df88/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "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=month.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "bin_3", + "measure_col": "month", + "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": 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_d/c14/artifacts/v2q_c14_8bb1acc3c438df88/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8bb1acc3c438df88/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..8558ec1686068a972b52b9ec973d0b5dcb75ccdb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8bb1acc3c438df88/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40db-1266-7e13-a356-edacf4c757be"} +{"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(\\\"month\\\" AS INTEGER)) AS total_measure\\nFROM \\\"c14\\\"\\nGROUP BY \\\"bin_3\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Uses the planned grouped-sum template with \\\"bin_3\\\" as the grouping column and casts \\\"month\\\" from TEXT to INTEGER so SQLite sums numeric month values correctly.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15906,"cached_input_tokens":4480,"output_tokens":385,"reasoning_output_tokens":288}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8bb1acc3c438df88/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8bb1acc3c438df88/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..abadbaaa92736ad6cbd2092cdb048c9df8a581d9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8bb1acc3c438df88/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"bin_3\", SUM(CAST(\"month\" AS INTEGER)) AS total_measure\nFROM \"c14\"\nGROUP BY \"bin_3\"\nORDER BY total_measure DESC;","notes":"Uses the planned grouped-sum template with \"bin_3\" as the grouping column and casts \"month\" from TEXT to INTEGER so SQLite sums numeric month values correctly."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8bb1acc3c438df88/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8bb1acc3c438df88/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8c8891822dda5559/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8c8891822dda5559/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a601d95af1b239a70e731297fb2b3d31ac391576 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8c8891822dda5559/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11991, "bytes_utf8": 11991, "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": 492, "bytes_utf8": 492, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16005, "cached_input_tokens": 14720, "output_tokens": 505, "reasoning_output_tokens": 358}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8c8891822dda5559/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8c8891822dda5559/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..46c72e6839db0a9e662ad2a600fa0beeb5f8a653 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8c8891822dda5559/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_8c8891822dda5559", + "api_calls": 0, + "input_tokens": 16005, + "cached_input_tokens": 14720, + "output_tokens": 505, + "total_tokens": 16510, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12518.53, + "sql_execution_elapsed_ms_total": 133.49, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8c8891822dda5559/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8c8891822dda5559/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8c8891822dda5559/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..bb61be55b2686aaaaf4630d572ca9c80eea0616f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8c8891822dda5559/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:43:42.423332+00:00", + "ended_at": "2026-05-19T15:43:54.941888+00:00", + "elapsed_ms": 12518.53, + "prompt_metrics": { + "chars": 11991, + "bytes_utf8": 11991, + "lines": 400, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 875, + "bytes_utf8": 875, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 492, + "bytes_utf8": 492, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16005, + "cached_input_tokens": 14720, + "output_tokens": 505, + "reasoning_output_tokens": 358 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8c8891822dda5559/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8c8891822dda5559/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2312423a72896b8257aefbe79b07cdf107c69619 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8c8891822dda5559/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=bin_3, group_col_2=nom_1.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "bin_3", + "group_col_2": "nom_1", + "predicate_col": "id", + "predicate_op": ">=", + "predicate_value": 172611.0, + "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 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8c8891822dda5559/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8c8891822dda5559/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..68337b5fcf49d4efbe8790306682c09332356eb5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8c8891822dda5559/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e8-3e4f-7d61-945e-679823325e1d"} +{"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_1\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"c14\\\"\\nWHERE CAST(\\\"id\\\" AS REAL) >= 172611.0\\nGROUP BY \\\"bin_3\\\", \\\"nom_1\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Used the required filtered two-dimensional group count template with group_col=\\\"bin_3\\\", group_col_2=\\\"nom_1\\\", and predicate_col=\\\"id\\\". CAST(\\\"id\\\" AS REAL) is applied because the schema lists \\\"id\\\" as TEXT while the bound predicate value is numeric.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16005,"cached_input_tokens":14720,"output_tokens":505,"reasoning_output_tokens":358}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8c8891822dda5559/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8c8891822dda5559/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b9d7a69a7ae714facbb9fe407e63f3d76155b3b1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8c8891822dda5559/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"bin_3\", \"nom_1\", COUNT(*) AS \"row_count\"\nFROM \"c14\"\nWHERE CAST(\"id\" AS REAL) >= 172611.0\nGROUP BY \"bin_3\", \"nom_1\"\nORDER BY \"row_count\" DESC;","notes":"Used the required filtered two-dimensional group count template with group_col=\"bin_3\", group_col_2=\"nom_1\", and predicate_col=\"id\". CAST(\"id\" AS REAL) is applied because the schema lists \"id\" as TEXT while the bound predicate value is numeric."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8c8891822dda5559/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8c8891822dda5559/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8e1fb28056f22c2f/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8e1fb28056f22c2f/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..92970feb8ea7c572f3c6873e79fa15d3fa789918 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8e1fb28056f22c2f/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12080, "bytes_utf8": 12080, "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": 536, "bytes_utf8": 536, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16025, "cached_input_tokens": 12032, "output_tokens": 823, "reasoning_output_tokens": 653}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8e1fb28056f22c2f/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8e1fb28056f22c2f/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..3ded79806f4ab1333036397278b792720611b4a4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8e1fb28056f22c2f/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_8e1fb28056f22c2f", + "api_calls": 0, + "input_tokens": 16025, + "cached_input_tokens": 12032, + "output_tokens": 823, + "total_tokens": 16848, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 18296.81, + "sql_execution_elapsed_ms_total": 321.34, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8e1fb28056f22c2f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8e1fb28056f22c2f/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8e1fb28056f22c2f/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d245d6879650f3892aa7a26376104b94cbd8274d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8e1fb28056f22c2f/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": "2026-05-19T15:39:02.450273+00:00", + "ended_at": "2026-05-19T15:39:20.747118+00:00", + "elapsed_ms": 18296.81, + "prompt_metrics": { + "chars": 12080, + "bytes_utf8": 12080, + "lines": 398, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 920, + "bytes_utf8": 920, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 536, + "bytes_utf8": 536, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16025, + "cached_input_tokens": 12032, + "output_tokens": 823, + "reasoning_output_tokens": 653 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8e1fb28056f22c2f/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8e1fb28056f22c2f/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..19fc344bbafd47de20213037d527081e93c1bba3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8e1fb28056f22c2f/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=day, measure_col=ord_0.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "day", + "measure_col": "ord_0", + "item_col": "nom_6", + "top_k": 13, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2.5, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8e1fb28056f22c2f/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8e1fb28056f22c2f/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..403546eef13cdd451a2fbec7cfa09f1b64ef3cab --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8e1fb28056f22c2f/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e3-f8d1-73e3-9945-02178cac9464"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"day\\\", \\\"nom_6\\\",\\n SUM(CAST(\\\"ord_0\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"ord_0\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"ord_0\\\" AS REAL))) OVER (PARTITION BY \\\"day\\\") AS share_within_group\\nFROM \\\"c14\\\"\\nGROUP BY \\\"day\\\", \\\"nom_6\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the Within-Group Share of Total template with group_col=\\\"day\\\", item_col=\\\"nom_6\\\", and measure_col=\\\"ord_0\\\". CAST is used because \\\"ord_0\\\" is stored as TEXT in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16025,"cached_input_tokens":12032,"output_tokens":823,"reasoning_output_tokens":653}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8e1fb28056f22c2f/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8e1fb28056f22c2f/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..acd9e39659bfc22a9733f564c56fce40c368a8e4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8e1fb28056f22c2f/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"day\", \"nom_6\",\n SUM(CAST(\"ord_0\" AS REAL)) AS total_measure,\n SUM(CAST(\"ord_0\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"ord_0\" AS REAL))) OVER (PARTITION BY \"day\") AS share_within_group\nFROM \"c14\"\nGROUP BY \"day\", \"nom_6\"\nORDER BY share_within_group DESC;","notes":"Applied the Within-Group Share of Total template with group_col=\"day\", item_col=\"nom_6\", and measure_col=\"ord_0\". CAST is used because \"ord_0\" is stored as TEXT in SQLite."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8e1fb28056f22c2f/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8e1fb28056f22c2f/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_940154fde80e2b03/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_940154fde80e2b03/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b6d4bf91d90071a67fd6a57482fd481143f9c03d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_940154fde80e2b03/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12239, "bytes_utf8": 12239, "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": 641, "bytes_utf8": 641, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16046, "cached_input_tokens": 12032, "output_tokens": 524, "reasoning_output_tokens": 337}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_940154fde80e2b03/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_940154fde80e2b03/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..ef79ed10b0bf0bb54158de9070d85e23bc6d3bfc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_940154fde80e2b03/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_940154fde80e2b03", + "api_calls": 0, + "input_tokens": 16046, + "cached_input_tokens": 12032, + "output_tokens": 524, + "total_tokens": 16570, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10697.14, + "sql_execution_elapsed_ms_total": 166.51, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_940154fde80e2b03/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_940154fde80e2b03/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_940154fde80e2b03/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f5ae6c240aa08c3dc2dbeb179ab61f4b67fb74f0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_940154fde80e2b03/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:50:12.916354+00:00", + "ended_at": "2026-05-19T15:50:23.613524+00:00", + "elapsed_ms": 10697.14, + "prompt_metrics": { + "chars": 12239, + "bytes_utf8": 12239, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1012, + "bytes_utf8": 1012, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 641, + "bytes_utf8": 641, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16046, + "cached_input_tokens": 12032, + "output_tokens": 524, + "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_d/c14/artifacts/v2q_c14_940154fde80e2b03/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_940154fde80e2b03/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..aef3cd15dd94f686096033102d6e2f44bde9cf76 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_940154fde80e2b03/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=nom_0, measure_col=ord_0.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "nom_0", + "measure_col": "ord_0", + "top_k": 17, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2.32, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_940154fde80e2b03/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_940154fde80e2b03/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..11138d513fcd7987bf672861cfe43b3525d34303 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_940154fde80e2b03/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ee-33cd-7ab2-9bb5-a6ae8b3328bd"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"nom_0\\\", SUM(CAST(\\\"ord_0\\\" AS REAL)) AS group_value\\n FROM \\\"c14\\\"\\n GROUP BY \\\"nom_0\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"nom_0\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.05\\nORDER BY g.group_value DESC;\",\"notes\":\"Applied the planned template with group_col=\\\"nom_0\\\" and measure_col=\\\"ord_0\\\". CAST(\\\"ord_0\\\" AS REAL) is used because the schema stores it as TEXT, and the threshold is fixed at 5% of the total summed measure.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16046,"cached_input_tokens":12032,"output_tokens":524,"reasoning_output_tokens":337}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_940154fde80e2b03/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_940154fde80e2b03/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7daf4406e7ffd6c3b0b5ad3ec9ccabbe3ce22b5a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_940154fde80e2b03/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"nom_0\", SUM(CAST(\"ord_0\" AS REAL)) AS group_value\n FROM \"c14\"\n GROUP BY \"nom_0\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"nom_0\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.05\nORDER BY g.group_value DESC;","notes":"Applied the planned template with group_col=\"nom_0\" and measure_col=\"ord_0\". CAST(\"ord_0\" AS REAL) is used because the schema stores it as TEXT, and the threshold is fixed at 5% of the total summed measure."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_940154fde80e2b03/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_940154fde80e2b03/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9498360181dcf12c/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9498360181dcf12c/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..24d4aa36c6432966683d990c855fb2c88ae68f96 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9498360181dcf12c/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:09:54.264753+00:00", + "ended_at": "2026-05-19T16:09:57.629975+00:00", + "elapsed_ms": 3365.19, + "returncode": 1, + "prompt_metrics": { + "chars": 11679, + "bytes_utf8": 11679, + "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_d/c14/artifacts/v2q_c14_9498360181dcf12c/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9498360181dcf12c/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..cefbffbb420c7fe63698dac1560eebfcbb110378 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9498360181dcf12c/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:09:58.631807+00:00", + "ended_at": "2026-05-19T16:10:02.257066+00:00", + "elapsed_ms": 3625.23, + "returncode": 1, + "prompt_metrics": { + "chars": 11679, + "bytes_utf8": 11679, + "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_d/c14/artifacts/v2q_c14_9498360181dcf12c/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9498360181dcf12c/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..32f5fa94ed4b58189c60c77275654546370fdfd3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9498360181dcf12c/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=target.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "target", + "top_k": 10, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 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_d/c14/artifacts/v2q_c14_9498360181dcf12c/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9498360181dcf12c/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..32f5fa94ed4b58189c60c77275654546370fdfd3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9498360181dcf12c/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=target.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "target", + "top_k": 10, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 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_d/c14/artifacts/v2q_c14_9498360181dcf12c/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9498360181dcf12c/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ec756cc62985eac211e15a58fb162d4556751d52 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9498360181dcf12c/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-3a60-7440-b8dd-e42543824f56"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9498360181dcf12c/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9498360181dcf12c/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d7f1403cf5335b8f3ad655335b0225367294abff --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9498360181dcf12c/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-3a60-7440-b8dd-e42543824f56"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9498360181dcf12c/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9498360181dcf12c/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c180cf67cc3145d66d5c976c6b47676513428fdb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9498360181dcf12c/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-4b7b-7512-a208-c964aac227c9"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9498360181dcf12c/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9498360181dcf12c/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..4a5e6504785a5a5b1af6140b6825426279612dfe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9498360181dcf12c/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-4b7b-7512-a208-c964aac227c9"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9498360181dcf12c/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9498360181dcf12c/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9498360181dcf12c/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9498360181dcf12c/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_95befbdec248cd42/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_95befbdec248cd42/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ac07c1a49818e22a88be1bfcd6a0eece97c40617 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_95befbdec248cd42/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": "2026-05-19T16:06:24.501572+00:00", + "ended_at": "2026-05-19T16:06:27.802895+00:00", + "elapsed_ms": 3301.28, + "returncode": 1, + "prompt_metrics": { + "chars": 11955, + "bytes_utf8": 11955, + "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_d/c14/artifacts/v2q_c14_95befbdec248cd42/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_95befbdec248cd42/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..95d90c525c2fde52dc2d18af0e96d140df72170d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_95befbdec248cd42/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": "2026-05-19T16:06:28.804738+00:00", + "ended_at": "2026-05-19T16:06:32.039233+00:00", + "elapsed_ms": 3234.46, + "returncode": 1, + "prompt_metrics": { + "chars": 11955, + "bytes_utf8": 11955, + "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_d/c14/artifacts/v2q_c14_95befbdec248cd42/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_95befbdec248cd42/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c4f464a7e1ff5e7abd79f463ec4e9b117fb6bd19 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_95befbdec248cd42/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "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": "Contributor", + "positive_value": "Grandmaster", + "negative_value": "Contributor", + "top_k": 16, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2.5, + "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_d/c14/artifacts/v2q_c14_95befbdec248cd42/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_95befbdec248cd42/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..c4f464a7e1ff5e7abd79f463ec4e9b117fb6bd19 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_95befbdec248cd42/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "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": "Contributor", + "positive_value": "Grandmaster", + "negative_value": "Contributor", + "top_k": 16, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2.5, + "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_d/c14/artifacts/v2q_c14_95befbdec248cd42/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_95befbdec248cd42/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..99bf73ea8c33f0f59f9e6651ba58086301878aa5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_95befbdec248cd42/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-0700-7a70-a224-cc3e9596dfc1"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_95befbdec248cd42/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_95befbdec248cd42/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9c9ecce8ffb3248e506a1aacc83063b330ae457c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_95befbdec248cd42/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-0700-7a70-a224-cc3e9596dfc1"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_95befbdec248cd42/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_95befbdec248cd42/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..eea6a28ada9ce2a7914803997679f239e0a80b86 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_95befbdec248cd42/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-17de-7861-a6c0-573b488a1685"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_95befbdec248cd42/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_95befbdec248cd42/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..62b3c7da8c0d3f9cb3a09d2eb85620a95d9cc7bc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_95befbdec248cd42/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-17de-7861-a6c0-573b488a1685"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_95befbdec248cd42/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_95befbdec248cd42/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_95befbdec248cd42/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_95befbdec248cd42/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9626bd8e88c36216/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9626bd8e88c36216/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..bd1333aa55f0fcda192562cd1d1ffe3f891914fa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9626bd8e88c36216/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": "2026-05-19T16:11:08.344411+00:00", + "ended_at": "2026-05-19T16:11:11.523646+00:00", + "elapsed_ms": 3179.2, + "returncode": 1, + "prompt_metrics": { + "chars": 11764, + "bytes_utf8": 11764, + "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_d/c14/artifacts/v2q_c14_9626bd8e88c36216/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9626bd8e88c36216/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..81455289b42d525f8391b5acb77e4b80539231a5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9626bd8e88c36216/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": "2026-05-19T16:11:12.526081+00:00", + "ended_at": "2026-05-19T16:11:15.707461+00:00", + "elapsed_ms": 3181.33, + "returncode": 1, + "prompt_metrics": { + "chars": 11764, + "bytes_utf8": 11764, + "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_d/c14/artifacts/v2q_c14_9626bd8e88c36216/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9626bd8e88c36216/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..586eab811f24e78df37d0bfd0498052e7006448d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9626bd8e88c36216/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=nom_3, measure_col=day.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "nom_3", + "measure_col": "day", + "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": 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 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9626bd8e88c36216/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9626bd8e88c36216/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..586eab811f24e78df37d0bfd0498052e7006448d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9626bd8e88c36216/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=nom_3, measure_col=day.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "nom_3", + "measure_col": "day", + "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": 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 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9626bd8e88c36216/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9626bd8e88c36216/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..112e992e57c6320787eea081eb723e27ed36905d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9626bd8e88c36216/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-5bb9-7161-9d09-5d52fdad7745"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9626bd8e88c36216/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9626bd8e88c36216/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ed66a5e73edf9db2b13b436abf4513788ab2c4ed --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9626bd8e88c36216/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-5bb9-7161-9d09-5d52fdad7745"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9626bd8e88c36216/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9626bd8e88c36216/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..62d3db97b26fdfd9f84237824c0810f241f74ce2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9626bd8e88c36216/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-6c1a-7db1-84fa-e3061f1d0843"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9626bd8e88c36216/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9626bd8e88c36216/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..225eb7c089ff65e3217252a4bc288029139aabf2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9626bd8e88c36216/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-6c1a-7db1-84fa-e3061f1d0843"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9626bd8e88c36216/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9626bd8e88c36216/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9626bd8e88c36216/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9626bd8e88c36216/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9743b3a91363e297/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9743b3a91363e297/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4a1008270de80df350652ef5e68637833326e9db --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9743b3a91363e297/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12493, "bytes_utf8": 12493, "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": 638, "bytes_utf8": 638, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16120, "cached_input_tokens": 14720, "output_tokens": 355, "reasoning_output_tokens": 161}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9743b3a91363e297/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9743b3a91363e297/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..50740e0b6ba0ed182ec31828ef1e6a163e64b939 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9743b3a91363e297/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_9743b3a91363e297", + "api_calls": 0, + "input_tokens": 16120, + "cached_input_tokens": 14720, + "output_tokens": 355, + "total_tokens": 16475, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11237.76, + "sql_execution_elapsed_ms_total": 149.63, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9743b3a91363e297/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9743b3a91363e297/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9743b3a91363e297/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7720c38eeda155785edc825a90aa8df8edbb53c5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9743b3a91363e297/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:41:50.387785+00:00", + "ended_at": "2026-05-19T15:42:01.625571+00:00", + "elapsed_ms": 11237.76, + "prompt_metrics": { + "chars": 12493, + "bytes_utf8": 12493, + "lines": 399, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1007, + "bytes_utf8": 1007, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 638, + "bytes_utf8": 638, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16120, + "cached_input_tokens": 14720, + "output_tokens": 355, + "reasoning_output_tokens": 161 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9743b3a91363e297/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9743b3a91363e297/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f662a37b50f008738858d1450059ee1535f310e8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9743b3a91363e297/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=bin_4, condition_col=ord_0.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "bin_4", + "condition_col": "ord_0", + "condition_value": "1", + "positive_value": "1", + "negative_value": "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": 172611.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9743b3a91363e297/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9743b3a91363e297/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ac80ecba793083f41c97da0ad853b43c49991d26 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9743b3a91363e297/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e6-88c8-7ad1-a012-a9f94d7f65f7"} +{"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_4\\\",\\n SUM(CASE WHEN \\\"ord_0\\\" = '1' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"ord_0\\\" = '2' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"c14\\\"\\n GROUP BY \\\"bin_4\\\"\\n)\\nSELECT \\\"bin_4\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Uses the planned grouped ratio template with group_col=\\\"bin_4\\\" and condition_col=\\\"ord_0\\\", computing the ratio of ord_0='1' to ord_0='2' within each bin_4 group.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16120,"cached_input_tokens":14720,"output_tokens":355,"reasoning_output_tokens":161}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9743b3a91363e297/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9743b3a91363e297/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..98cc1e040c3493f90f0f0bef94d8050c2c1b8c27 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9743b3a91363e297/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT \"bin_4\",\n SUM(CASE WHEN \"ord_0\" = '1' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"ord_0\" = '2' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"c14\"\n GROUP BY \"bin_4\"\n)\nSELECT \"bin_4\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;","notes":"Uses the planned grouped ratio template with group_col=\"bin_4\" and condition_col=\"ord_0\", computing the ratio of ord_0='1' to ord_0='2' within each bin_4 group."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9743b3a91363e297/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9743b3a91363e297/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9a4d0cf4d432e505/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9a4d0cf4d432e505/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f8b6fd908c18b7515aad86ae4ca893af32c1753d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9a4d0cf4d432e505/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11858, "bytes_utf8": 11858, "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": 1991, "bytes_utf8": 1991, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15944, "cached_input_tokens": 12032, "output_tokens": 3370, "reasoning_output_tokens": 2672}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9a4d0cf4d432e505/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9a4d0cf4d432e505/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..14a64922d414ea5d821c9bb9b6c1e9fba0a2a27c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9a4d0cf4d432e505/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_9a4d0cf4d432e505", + "api_calls": 0, + "input_tokens": 15944, + "cached_input_tokens": 12032, + "output_tokens": 3370, + "total_tokens": 19314, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 45538.38, + "sql_execution_elapsed_ms_total": 887.39, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9a4d0cf4d432e505/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9a4d0cf4d432e505/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9a4d0cf4d432e505/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..241b435ed56a84e72f7db005a333e7e370685cf1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9a4d0cf4d432e505/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:56:12.424197+00:00", + "ended_at": "2026-05-19T15:56:57.962608+00:00", + "elapsed_ms": 45538.38, + "prompt_metrics": { + "chars": 11858, + "bytes_utf8": 11858, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2771, + "bytes_utf8": 2771, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 1991, + "bytes_utf8": 1991, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15944, + "cached_input_tokens": 12032, + "output_tokens": 3370, + "reasoning_output_tokens": 2672 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9a4d0cf4d432e505/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9a4d0cf4d432e505/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..dbd850813155a3998d8144c233ae1f581b97f1c3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9a4d0cf4d432e505/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "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=day.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "ord_4", + "measure_col": "day", + "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": 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 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9a4d0cf4d432e505/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9a4d0cf4d432e505/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..3de996f6ce5ac2d7ec3bd08de0059d2738ba4f42 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9a4d0cf4d432e505/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f3-b032-77e1-8fc1-8a60fdf9505d"} +{"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\\\",\\n CAST(\\\"day\\\" AS REAL) AS \\\"day_value\\\"\\n FROM \\\"c14\\\"\\n WHERE \\\"ord_4\\\" IS NOT NULL\\n AND \\\"day\\\" IS NOT NULL\\n),\\n\\\"ordered\\\" AS (\\n SELECT\\n \\\"ord_4\\\",\\n \\\"day_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"ord_4\\\"\\n ORDER BY \\\"day_value\\\"\\n ) AS \\\"rn\\\"\\n FROM \\\"base\\\"\\n),\\n\\\"group_sizes\\\" AS (\\n SELECT\\n \\\"ord_4\\\",\\n COUNT(*) AS \\\"n\\\"\\n FROM \\\"base\\\"\\n GROUP BY \\\"ord_4\\\"\\n HAVING COUNT(*) >= 5\\n),\\n\\\"positions\\\" AS (\\n SELECT\\n \\\"ord_4\\\",\\n \\\"n\\\",\\n 1.0 + (\\\"n\\\" - 1) * 0.9 AS \\\"pos\\\"\\n FROM \\\"group_sizes\\\"\\n),\\n\\\"bounds\\\" AS (\\n SELECT\\n \\\"ord_4\\\",\\n \\\"pos\\\",\\n CAST(\\\"pos\\\" AS INTEGER) AS \\\"lo\\\",\\n CASE\\n WHEN ABS(\\\"pos\\\" - CAST(\\\"pos\\\" AS INTEGER)) < 1e-12 THEN CAST(\\\"pos\\\" AS INTEGER)\\n ELSE CAST(\\\"pos\\\" AS INTEGER) + 1\\n END AS \\\"hi\\\"\\n FROM \\\"positions\\\"\\n)\\nSELECT\\n \\\"b\\\".\\\"ord_4\\\",\\n CASE\\n WHEN \\\"b\\\".\\\"lo\\\" = \\\"b\\\".\\\"hi\\\" THEN MAX(CASE WHEN \\\"o\\\".\\\"rn\\\" = \\\"b\\\".\\\"lo\\\" THEN \\\"o\\\".\\\"day_value\\\" END)\\n ELSE MAX(CASE WHEN \\\"o\\\".\\\"rn\\\" = \\\"b\\\".\\\"lo\\\" THEN \\\"o\\\".\\\"day_value\\\" END) +\\n (\\\"b\\\".\\\"pos\\\" - \\\"b\\\".\\\"lo\\\") * (\\n MAX(CASE WHEN \\\"o\\\".\\\"rn\\\" = \\\"b\\\".\\\"hi\\\" THEN \\\"o\\\".\\\"day_value\\\" END) -\\n MAX(CASE WHEN \\\"o\\\".\\\"rn\\\" = \\\"b\\\".\\\"lo\\\" THEN \\\"o\\\".\\\"day_value\\\" END)\\n )\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"bounds\\\" AS \\\"b\\\"\\nJOIN \\\"ordered\\\" AS \\\"o\\\"\\n ON \\\"o\\\".\\\"ord_4\\\" = \\\"b\\\".\\\"ord_4\\\"\\n AND \\\"o\\\".\\\"rn\\\" IN (\\\"b\\\".\\\"lo\\\", \\\"b\\\".\\\"hi\\\")\\nGROUP BY \\\"b\\\".\\\"ord_4\\\", \\\"b\\\".\\\"pos\\\", \\\"b\\\".\\\"lo\\\", \\\"b\\\".\\\"hi\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite-compatible emulation of PERCENTILE_CONT(0.9) using window functions and linear interpolation on CAST(\\\"day\\\" AS REAL), grouped by \\\"ord_4\\\". NULL \\\"ord_4\\\"/\\\"day\\\" rows are excluded, and groups are filtered to at least 5 rows using the provided min_group_size binding.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15944,"cached_input_tokens":12032,"output_tokens":3370,"reasoning_output_tokens":2672}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9a4d0cf4d432e505/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9a4d0cf4d432e505/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2781d19f96b42008876d279dfe4c8e510a4e09fb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9a4d0cf4d432e505/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"base\" AS (\n SELECT\n \"ord_4\",\n CAST(\"day\" AS REAL) AS \"day_value\"\n FROM \"c14\"\n WHERE \"ord_4\" IS NOT NULL\n AND \"day\" IS NOT NULL\n),\n\"ordered\" AS (\n SELECT\n \"ord_4\",\n \"day_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"ord_4\"\n ORDER BY \"day_value\"\n ) AS \"rn\"\n FROM \"base\"\n),\n\"group_sizes\" AS (\n SELECT\n \"ord_4\",\n COUNT(*) AS \"n\"\n FROM \"base\"\n GROUP BY \"ord_4\"\n HAVING COUNT(*) >= 5\n),\n\"positions\" AS (\n SELECT\n \"ord_4\",\n \"n\",\n 1.0 + (\"n\" - 1) * 0.9 AS \"pos\"\n FROM \"group_sizes\"\n),\n\"bounds\" AS (\n SELECT\n \"ord_4\",\n \"pos\",\n CAST(\"pos\" AS INTEGER) AS \"lo\",\n CASE\n WHEN ABS(\"pos\" - CAST(\"pos\" AS INTEGER)) < 1e-12 THEN CAST(\"pos\" AS INTEGER)\n ELSE CAST(\"pos\" AS INTEGER) + 1\n END AS \"hi\"\n FROM \"positions\"\n)\nSELECT\n \"b\".\"ord_4\",\n CASE\n WHEN \"b\".\"lo\" = \"b\".\"hi\" THEN MAX(CASE WHEN \"o\".\"rn\" = \"b\".\"lo\" THEN \"o\".\"day_value\" END)\n ELSE MAX(CASE WHEN \"o\".\"rn\" = \"b\".\"lo\" THEN \"o\".\"day_value\" END) +\n (\"b\".\"pos\" - \"b\".\"lo\") * (\n MAX(CASE WHEN \"o\".\"rn\" = \"b\".\"hi\" THEN \"o\".\"day_value\" END) -\n MAX(CASE WHEN \"o\".\"rn\" = \"b\".\"lo\" THEN \"o\".\"day_value\" END)\n )\n END AS \"percentile_measure\"\nFROM \"bounds\" AS \"b\"\nJOIN \"ordered\" AS \"o\"\n ON \"o\".\"ord_4\" = \"b\".\"ord_4\"\n AND \"o\".\"rn\" IN (\"b\".\"lo\", \"b\".\"hi\")\nGROUP BY \"b\".\"ord_4\", \"b\".\"pos\", \"b\".\"lo\", \"b\".\"hi\"\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite-compatible emulation of PERCENTILE_CONT(0.9) using window functions and linear interpolation on CAST(\"day\" AS REAL), grouped by \"ord_4\". NULL \"ord_4\"/\"day\" rows are excluded, and groups are filtered to at least 5 rows using the provided min_group_size binding."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9a4d0cf4d432e505/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9a4d0cf4d432e505/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9bc038d8be38cfe0/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9bc038d8be38cfe0/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a663a1c3283d5d6ae3a8ea375f535eca9995d22f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9bc038d8be38cfe0/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12239, "bytes_utf8": 12239, "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": 736, "bytes_utf8": 736, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16044, "cached_input_tokens": 14720, "output_tokens": 727, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9bc038d8be38cfe0/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9bc038d8be38cfe0/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..e19c2c746a61ea1cba60a794bea5da467f34b363 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9bc038d8be38cfe0/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_9bc038d8be38cfe0", + "api_calls": 0, + "input_tokens": 16044, + "cached_input_tokens": 14720, + "output_tokens": 727, + "total_tokens": 16771, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13363.55, + "sql_execution_elapsed_ms_total": 149.88, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9bc038d8be38cfe0/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9bc038d8be38cfe0/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9bc038d8be38cfe0/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b69dc582e40d537585261036ca33f5a2cb306360 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9bc038d8be38cfe0/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": "2026-05-19T15:49:41.401738+00:00", + "ended_at": "2026-05-19T15:49:54.765325+00:00", + "elapsed_ms": 13363.55, + "prompt_metrics": { + "chars": 12239, + "bytes_utf8": 12239, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1145, + "bytes_utf8": 1145, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 736, + "bytes_utf8": 736, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16044, + "cached_input_tokens": 14720, + "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_d/c14/artifacts/v2q_c14_9bc038d8be38cfe0/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9bc038d8be38cfe0/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..67f5d9e4d8ada4b5eb4b3cd192a9ed522478a24d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9bc038d8be38cfe0/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=bin_4, measure_col=id.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "bin_4", + "measure_col": "id", + "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": 150351.84, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9bc038d8be38cfe0/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9bc038d8be38cfe0/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6ada7d3145d6b5edf1d1d9b9541af6d5877c095c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9bc038d8be38cfe0/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ed-b8a9-70c2-a8a4-6dce90dc3c61"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"bin_4\\\", SUM(\\\"id\\\") AS \\\"group_value\\\"\\n FROM \\\"c14\\\"\\n WHERE \\\"bin_4\\\" IS NOT NULL\\n AND \\\"id\\\" IS NOT NULL\\n GROUP BY \\\"bin_4\\\"\\n), total AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM grouped\\n)\\nSELECT g.\\\"bin_4\\\", g.\\\"group_value\\\"\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.05\\nORDER BY g.\\\"group_value\\\" DESC;\",\"notes\":\"Uses the provided Relative-to-Total Extreme Threshold template with group_col=\\\"bin_4\\\", measure_col=\\\"id\\\", and fraction_threshold=0.05. \\\"id\\\" is stored as TEXT in the schema, so this relies on SQLite numeric coercion during SUM().\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16044,"cached_input_tokens":14720,"output_tokens":727,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9bc038d8be38cfe0/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9bc038d8be38cfe0/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..bbad3f520d78bad45799223652a5148523d7f4fd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9bc038d8be38cfe0/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"bin_4\", SUM(\"id\") AS \"group_value\"\n FROM \"c14\"\n WHERE \"bin_4\" IS NOT NULL\n AND \"id\" IS NOT NULL\n GROUP BY \"bin_4\"\n), total AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM grouped\n)\nSELECT g.\"bin_4\", g.\"group_value\"\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.\"group_value\" > t.\"total_value\" * 0.05\nORDER BY g.\"group_value\" DESC;","notes":"Uses the provided Relative-to-Total Extreme Threshold template with group_col=\"bin_4\", measure_col=\"id\", and fraction_threshold=0.05. \"id\" is stored as TEXT in the schema, so this relies on SQLite numeric coercion during SUM()."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9bc038d8be38cfe0/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9bc038d8be38cfe0/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9c640b151a43eb5b/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9c640b151a43eb5b/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..737c103fc3068a0805efe78a15f9797a14103b7c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9c640b151a43eb5b/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12236, "bytes_utf8": 12236, "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": 636, "bytes_utf8": 636, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16044, "cached_input_tokens": 14720, "output_tokens": 586, "reasoning_output_tokens": 401}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9c640b151a43eb5b/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9c640b151a43eb5b/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..fe6cd88ebd39102ee6dfe92921ed51abdc09d698 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9c640b151a43eb5b/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_9c640b151a43eb5b", + "api_calls": 0, + "input_tokens": 16044, + "cached_input_tokens": 14720, + "output_tokens": 586, + "total_tokens": 16630, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11682.42, + "sql_execution_elapsed_ms_total": 142.16, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9c640b151a43eb5b/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9c640b151a43eb5b/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9c640b151a43eb5b/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..133651419bd2c4d697e288772f5909ed54d658b2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9c640b151a43eb5b/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": "2026-05-19T15:48:51.466453+00:00", + "ended_at": "2026-05-19T15:49:03.148899+00:00", + "elapsed_ms": 11682.42, + "prompt_metrics": { + "chars": 12236, + "bytes_utf8": 12236, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1039, + "bytes_utf8": 1039, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 636, + "bytes_utf8": 636, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16044, + "cached_input_tokens": 14720, + "output_tokens": 586, + "reasoning_output_tokens": 401 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9c640b151a43eb5b/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9c640b151a43eb5b/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..94cd3fb838e67de1b4aaa81efa75cae3009c7fe7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9c640b151a43eb5b/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=bin_2, measure_col=day.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "bin_2", + "measure_col": "day", + "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": 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 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9c640b151a43eb5b/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9c640b151a43eb5b/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..7164fcca17fc7c8c3cc4d55946ff9c655cbd3758 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9c640b151a43eb5b/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ec-f5b4-79f2-ac37-904f2be8d2f4"} +{"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_2\\\",\\n SUM(CAST(\\\"day\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"c14\\\"\\n GROUP BY \\\"bin_2\\\"\\n), total AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM grouped\\n)\\nSELECT\\n g.\\\"bin_2\\\",\\n g.\\\"group_value\\\"\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.05\\nORDER BY g.\\\"group_value\\\" DESC;\",\"notes\":\"Uses the planned relative-to-total threshold template with group_col=\\\"bin_2\\\" and measure_col=\\\"day\\\", casting \\\"day\\\" from TEXT to REAL before summing.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16044,"cached_input_tokens":14720,"output_tokens":586,"reasoning_output_tokens":401}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9c640b151a43eb5b/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9c640b151a43eb5b/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a0fbc6ddca9aad7682c8d543092ed3fcfb59561d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9c640b151a43eb5b/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT\n \"bin_2\",\n SUM(CAST(\"day\" AS REAL)) AS \"group_value\"\n FROM \"c14\"\n GROUP BY \"bin_2\"\n), total AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM grouped\n)\nSELECT\n g.\"bin_2\",\n g.\"group_value\"\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.\"group_value\" > t.\"total_value\" * 0.05\nORDER BY g.\"group_value\" DESC;","notes":"Uses the planned relative-to-total threshold template with group_col=\"bin_2\" and measure_col=\"day\", casting \"day\" from TEXT to REAL before summing."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9c640b151a43eb5b/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9c640b151a43eb5b/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9f4c2e7100375918/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9f4c2e7100375918/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..de58dac56eef1cbde0ce1d11efe905afd4d53d4e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9f4c2e7100375918/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": "2026-05-19T16:06:50.918458+00:00", + "ended_at": "2026-05-19T16:06:54.296601+00:00", + "elapsed_ms": 3378.12, + "returncode": 1, + "prompt_metrics": { + "chars": 11914, + "bytes_utf8": 11914, + "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_d/c14/artifacts/v2q_c14_9f4c2e7100375918/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9f4c2e7100375918/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..530eb5e35c55ebf02d11b99afa404064c865450b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9f4c2e7100375918/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": "2026-05-19T16:06:55.299470+00:00", + "ended_at": "2026-05-19T16:06:58.455514+00:00", + "elapsed_ms": 3155.99, + "returncode": 1, + "prompt_metrics": { + "chars": 11914, + "bytes_utf8": 11914, + "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_d/c14/artifacts/v2q_c14_9f4c2e7100375918/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9f4c2e7100375918/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..82c8d1a5036300d4ac80455b86788a94b1483f1c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9f4c2e7100375918/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "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": "1", + "positive_value": "1", + "negative_value": "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": 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_d/c14/artifacts/v2q_c14_9f4c2e7100375918/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9f4c2e7100375918/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..82c8d1a5036300d4ac80455b86788a94b1483f1c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9f4c2e7100375918/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "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": "1", + "positive_value": "1", + "negative_value": "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": 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_d/c14/artifacts/v2q_c14_9f4c2e7100375918/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9f4c2e7100375918/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ce4292b15f9c51bf00e2c40a23dcb250607c9ba0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9f4c2e7100375918/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-6e22-7c02-a92b-0c4b81484d57"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9f4c2e7100375918/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9f4c2e7100375918/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ddc0f0ba557330f447fc10cb0b7a14ebab749c61 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9f4c2e7100375918/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-6e22-7c02-a92b-0c4b81484d57"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9f4c2e7100375918/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9f4c2e7100375918/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5e5451abfe34d4810564f828fc2848aacc4a28fa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9f4c2e7100375918/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-7f41-70b3-844d-58bb92243778"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9f4c2e7100375918/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9f4c2e7100375918/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..782e087ec7f2cd16bb5755f271e313d94f8395ac --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9f4c2e7100375918/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-7f41-70b3-844d-58bb92243778"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9f4c2e7100375918/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9f4c2e7100375918/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9f4c2e7100375918/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9f4c2e7100375918/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a07eae4da5a96122/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a07eae4da5a96122/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7eb401c84bfb9c08bde867acff682ed1b52babc8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a07eae4da5a96122/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11681, "bytes_utf8": 11681, "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": 346, "bytes_utf8": 346, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15906, "cached_input_tokens": 12032, "output_tokens": 502, "reasoning_output_tokens": 398}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a07eae4da5a96122/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a07eae4da5a96122/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..94561b192efb3c04016d0940b7eb097816ab4f27 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a07eae4da5a96122/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_a07eae4da5a96122", + "api_calls": 0, + "input_tokens": 15906, + "cached_input_tokens": 12032, + "output_tokens": 502, + "total_tokens": 16408, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14221.56, + "sql_execution_elapsed_ms_total": 161.62, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a07eae4da5a96122/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a07eae4da5a96122/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a07eae4da5a96122/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a7919562ede2762c2d02fefc5fceca876d69de53 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a07eae4da5a96122/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": "2026-05-19T15:31:22.501755+00:00", + "ended_at": "2026-05-19T15:31:36.723340+00:00", + "elapsed_ms": 14221.56, + "prompt_metrics": { + "chars": 11681, + "bytes_utf8": 11681, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 708, + "bytes_utf8": 708, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 346, + "bytes_utf8": 346, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15906, + "cached_input_tokens": 12032, + "output_tokens": 502, + "reasoning_output_tokens": 398 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a07eae4da5a96122/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a07eae4da5a96122/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..dfce12ba564186753f12a77ed9ee5ad4d68a59d4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a07eae4da5a96122/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=nom_3, measure_col=id.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "nom_3", + "measure_col": "id", + "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": 172611.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a07eae4da5a96122/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a07eae4da5a96122/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..12081008cc9687035256e6670719e6105e22bf01 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a07eae4da5a96122/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40dc-f411-7e73-b24f-dfa1f9bc4771"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"nom_3\\\", SUM(CAST(\\\"id\\\" AS INTEGER)) AS total_measure\\nFROM \\\"c14\\\"\\nGROUP BY \\\"nom_3\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the planned grouped-sum template with group_col=\\\"nom_3\\\" and measure_col=\\\"id\\\". CAST(\\\"id\\\" AS INTEGER) is applied because the schema stores \\\"id\\\" as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15906,"cached_input_tokens":12032,"output_tokens":502,"reasoning_output_tokens":398}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a07eae4da5a96122/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a07eae4da5a96122/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0b4140efcbf0211f83f9310d941a822d49cb79f7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a07eae4da5a96122/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"nom_3\", SUM(CAST(\"id\" AS INTEGER)) AS total_measure\nFROM \"c14\"\nGROUP BY \"nom_3\"\nORDER BY total_measure DESC;","notes":"Used the planned grouped-sum template with group_col=\"nom_3\" and measure_col=\"id\". CAST(\"id\" AS INTEGER) is applied because the schema stores \"id\" as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a07eae4da5a96122/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a07eae4da5a96122/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a1b53b8150a06c36/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a1b53b8150a06c36/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..0982adf46570b0431986a89d521847be67b6ee00 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a1b53b8150a06c36/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:09:24.443609+00:00", + "ended_at": "2026-05-19T16:09:27.317811+00:00", + "elapsed_ms": 2874.18, + "returncode": 1, + "prompt_metrics": { + "chars": 11673, + "bytes_utf8": 11673, + "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_d/c14/artifacts/v2q_c14_a1b53b8150a06c36/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a1b53b8150a06c36/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4627f09ee1b27fe109784e68cf32d2f6fc4f20b6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a1b53b8150a06c36/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:09:28.321005+00:00", + "ended_at": "2026-05-19T16:09:31.563411+00:00", + "elapsed_ms": 3242.35, + "returncode": 1, + "prompt_metrics": { + "chars": 11673, + "bytes_utf8": 11673, + "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_d/c14/artifacts/v2q_c14_a1b53b8150a06c36/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a1b53b8150a06c36/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5b5ef411734c5d26b9868ac46e5fc182282a56d9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a1b53b8150a06c36/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=day.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "day", + "top_k": 13, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 9.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a1b53b8150a06c36/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a1b53b8150a06c36/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..5b5ef411734c5d26b9868ac46e5fc182282a56d9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a1b53b8150a06c36/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=day.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "day", + "top_k": 13, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 9.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a1b53b8150a06c36/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a1b53b8150a06c36/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..d825d0c4f925a6c646f873fb7950d9842a627861 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a1b53b8150a06c36/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-c5da-7cf3-b0a1-6b2fd27828f5"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a1b53b8150a06c36/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a1b53b8150a06c36/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c57b77dd74ebe7cb777d257ed03f0f77dc46cf67 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a1b53b8150a06c36/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-c5da-7cf3-b0a1-6b2fd27828f5"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a1b53b8150a06c36/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a1b53b8150a06c36/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f3a87ee509ef31800d0c2efbb39a99644c802611 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a1b53b8150a06c36/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-d503-7c31-978e-cce59d1581da"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a1b53b8150a06c36/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a1b53b8150a06c36/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..70fd33359f8586055eeed9ea60e16b9858d2951f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a1b53b8150a06c36/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-d503-7c31-978e-cce59d1581da"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a1b53b8150a06c36/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a1b53b8150a06c36/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a1b53b8150a06c36/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a1b53b8150a06c36/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a280e1b62bcd965f/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a280e1b62bcd965f/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..eba73ff4d5aa9c0c428fab5d0c8cb15d47c418c5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a280e1b62bcd965f/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11858, "bytes_utf8": 11858, "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": 583, "bytes_utf8": 583, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15957, "cached_input_tokens": 12032, "output_tokens": 586, "reasoning_output_tokens": 429}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a280e1b62bcd965f/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a280e1b62bcd965f/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..85da7c67ed6910d039ae2875d3b458902a56b3be --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a280e1b62bcd965f/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_a280e1b62bcd965f", + "api_calls": 0, + "input_tokens": 15957, + "cached_input_tokens": 12032, + "output_tokens": 586, + "total_tokens": 16543, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 16869.66, + "sql_execution_elapsed_ms_total": 454.85, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a280e1b62bcd965f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a280e1b62bcd965f/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a280e1b62bcd965f/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..cc42f692895656188604c0a3a174ede3bde00658 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a280e1b62bcd965f/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": "2026-05-19T15:47:11.054709+00:00", + "ended_at": "2026-05-19T15:47:27.924409+00:00", + "elapsed_ms": 16869.66, + "prompt_metrics": { + "chars": 11858, + "bytes_utf8": 11858, + "lines": 394, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 959, + "bytes_utf8": 959, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 583, + "bytes_utf8": 583, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15957, + "cached_input_tokens": 12032, + "output_tokens": 586, + "reasoning_output_tokens": 429 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a280e1b62bcd965f/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a280e1b62bcd965f/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b8fa9b3b1fdef668aa12259595aa1455e541a5f2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a280e1b62bcd965f/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=month.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "bindings": { + "measure_col": "month", + "top_k": 12, + "top_n": 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": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a280e1b62bcd965f/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a280e1b62bcd965f/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..56c9e5f3c7105e2a18d334fcaff8847cb8af2812 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a280e1b62bcd965f/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40eb-6df0-76c3-b392-632d08ed61b8"} +{"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(\\\"month\\\" AS INTEGER) AS \\\"month\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"month\\\" AS INTEGER) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"c14\\\"\\n WHERE \\\"month\\\" IS NOT NULL\\n)\\nSELECT \\\"month\\\"\\nFROM buckets\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"month\\\" DESC;\",\"notes\":\"Applied the Quantile Tail Slice template with measure_col bound to month and num_tiles=10. CAST is used because \\\"month\\\" is stored as TEXT in SQLite schema, and numeric ordering is needed for a correct upper-tail slice.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15957,"cached_input_tokens":12032,"output_tokens":586,"reasoning_output_tokens":429}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a280e1b62bcd965f/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a280e1b62bcd965f/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3e40098ed2451e75fbb79f8d5dc13ca541b5f336 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a280e1b62bcd965f/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_quantile_tail_slice\nWITH buckets AS (\n SELECT CAST(\"month\" AS INTEGER) AS \"month\",\n NTILE(10) OVER (ORDER BY CAST(\"month\" AS INTEGER) DESC) AS \"tail_bucket\"\n FROM \"c14\"\n WHERE \"month\" IS NOT NULL\n)\nSELECT \"month\"\nFROM buckets\nWHERE \"tail_bucket\" = 1\nORDER BY \"month\" DESC;","notes":"Applied the Quantile Tail Slice template with measure_col bound to month and num_tiles=10. CAST is used because \"month\" is stored as TEXT in SQLite schema, and numeric ordering is needed for a correct upper-tail slice."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a280e1b62bcd965f/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a280e1b62bcd965f/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a36a40c09ee45716/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a36a40c09ee45716/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..179801c33380aa533d2e98ee7566f9ca794b238f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a36a40c09ee45716/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11680, "bytes_utf8": 11680, "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": 359, "bytes_utf8": 359, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15906, "cached_input_tokens": 12032, "output_tokens": 335, "reasoning_output_tokens": 230}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a36a40c09ee45716/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a36a40c09ee45716/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..63b78ac3269ffa3a5d34f7e44d2bb0702c5d91bf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a36a40c09ee45716/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_a36a40c09ee45716", + "api_calls": 0, + "input_tokens": 15906, + "cached_input_tokens": 12032, + "output_tokens": 335, + "total_tokens": 16241, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9383.64, + "sql_execution_elapsed_ms_total": 164.44, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a36a40c09ee45716/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a36a40c09ee45716/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a36a40c09ee45716/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..9082812bc2397d5c8cbec7cc7f93f2a7a633493e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a36a40c09ee45716/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": "2026-05-19T15:30:45.154426+00:00", + "ended_at": "2026-05-19T15:30:54.538100+00:00", + "elapsed_ms": 9383.64, + "prompt_metrics": { + "chars": 11680, + "bytes_utf8": 11680, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 725, + "bytes_utf8": 725, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 359, + "bytes_utf8": 359, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15906, + "cached_input_tokens": 12032, + "output_tokens": 335, + "reasoning_output_tokens": 230 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a36a40c09ee45716/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a36a40c09ee45716/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..572952dfed96c06b88524363539b60474a890ece --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a36a40c09ee45716/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "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=day.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "nom_1", + "measure_col": "day", + "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": 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 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a36a40c09ee45716/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a36a40c09ee45716/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..25dd82a96cd5aea64851dcc6b90a0c5acedc66d2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a36a40c09ee45716/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40dc-623e-77f2-a1a3-defbee9605ab"} +{"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(\\\"day\\\" AS INTEGER)) AS \\\"total_measure\\\"\\nFROM \\\"c14\\\"\\nGROUP BY \\\"nom_1\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Applied the planned Grouped Numeric Sum template with group_col=\\\"nom_1\\\" and measure_col=\\\"day\\\". Cast \\\"day\\\" to INTEGER because the SQLite schema stores it as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15906,"cached_input_tokens":12032,"output_tokens":335,"reasoning_output_tokens":230}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a36a40c09ee45716/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a36a40c09ee45716/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..804a3e6567e34ed7ffa2591ef1db328ff4476db1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a36a40c09ee45716/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"nom_1\", SUM(CAST(\"day\" AS INTEGER)) AS \"total_measure\"\nFROM \"c14\"\nGROUP BY \"nom_1\"\nORDER BY \"total_measure\" DESC;","notes":"Applied the planned Grouped Numeric Sum template with group_col=\"nom_1\" and measure_col=\"day\". Cast \"day\" to INTEGER because the SQLite schema stores it as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a36a40c09ee45716/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a36a40c09ee45716/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a43450259e922cef/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a43450259e922cef/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..db3e54b5c05a5157c1b48f15330938296d37f116 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a43450259e922cef/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11858, "bytes_utf8": 11858, "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": 535, "bytes_utf8": 535, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15961, "cached_input_tokens": 12032, "output_tokens": 506, "reasoning_output_tokens": 349}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a43450259e922cef/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a43450259e922cef/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..9c9c8277389a4f496ee9393d0c6a2945a58fe2fa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a43450259e922cef/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_a43450259e922cef", + "api_calls": 0, + "input_tokens": 15961, + "cached_input_tokens": 12032, + "output_tokens": 506, + "total_tokens": 16467, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13473.6, + "sql_execution_elapsed_ms_total": 415.12, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a43450259e922cef/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a43450259e922cef/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a43450259e922cef/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..0e97667715b1f00546a1275f920b93f83927cabb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a43450259e922cef/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": "2026-05-19T15:46:39.842701+00:00", + "ended_at": "2026-05-19T15:46:53.316352+00:00", + "elapsed_ms": 13473.6, + "prompt_metrics": { + "chars": 11858, + "bytes_utf8": 11858, + "lines": 394, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 907, + "bytes_utf8": 907, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 535, + "bytes_utf8": 535, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15961, + "cached_input_tokens": 12032, + "output_tokens": 506, + "reasoning_output_tokens": 349 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a43450259e922cef/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a43450259e922cef/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..22ee81f803def8ae2a1127de5399c9c48f6aebec --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a43450259e922cef/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=ord_0.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "bindings": { + "measure_col": "ord_0", + "top_k": 10, + "top_n": 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 buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a43450259e922cef/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a43450259e922cef/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a18cbfa90e7cd9a77209a6a6f1206ea24669fe56 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a43450259e922cef/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ea-f3d6-7111-8697-d4d32ecbeeb1"} +{"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 \\\"ord_0\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"ord_0\\\" AS INTEGER) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"c14\\\"\\n)\\nSELECT \\\"ord_0\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY CAST(\\\"ord_0\\\" AS INTEGER) DESC;\",\"notes\":\"Used the requested Quantile Tail Slice template with measure_col bound to ord_0 and num_tiles fixed at 10. CAST is applied because ord_0 is stored as TEXT in SQLite but represents numeric discrete values.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15961,"cached_input_tokens":12032,"output_tokens":506,"reasoning_output_tokens":349}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a43450259e922cef/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a43450259e922cef/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2e08e50bd63571c00db9000dc0018015edc2ddc0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a43450259e922cef/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_quantile_tail_slice\nWITH \"buckets\" AS (\n SELECT\n \"ord_0\",\n NTILE(10) OVER (ORDER BY CAST(\"ord_0\" AS INTEGER) DESC) AS \"tail_bucket\"\n FROM \"c14\"\n)\nSELECT \"ord_0\"\nFROM \"buckets\"\nWHERE \"tail_bucket\" = 1\nORDER BY CAST(\"ord_0\" AS INTEGER) DESC;","notes":"Used the requested Quantile Tail Slice template with measure_col bound to ord_0 and num_tiles fixed at 10. CAST is applied because ord_0 is stored as TEXT in SQLite but represents numeric discrete values."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a43450259e922cef/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a43450259e922cef/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a5773f27f983bd4e/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a5773f27f983bd4e/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8b8f99824836a3582029c0bdfc01b6b3e131347a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a5773f27f983bd4e/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11988, "bytes_utf8": 11988, "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": 352, "bytes_utf8": 352, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16003, "cached_input_tokens": 14720, "output_tokens": 408, "reasoning_output_tokens": 293}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a5773f27f983bd4e/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a5773f27f983bd4e/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5786a2dbeb7cfeac97733ca8ebe028d7c33e67ec --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a5773f27f983bd4e/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_a5773f27f983bd4e", + "api_calls": 0, + "input_tokens": 16003, + "cached_input_tokens": 14720, + "output_tokens": 408, + "total_tokens": 16411, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9826.46, + "sql_execution_elapsed_ms_total": 150.71, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a5773f27f983bd4e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a5773f27f983bd4e/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a5773f27f983bd4e/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d7c6bc4d7ad87a96fddbc698059144be6ca5dba0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a5773f27f983bd4e/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:44:37.393888+00:00", + "ended_at": "2026-05-19T15:44:47.220372+00:00", + "elapsed_ms": 9826.46, + "prompt_metrics": { + "chars": 11988, + "bytes_utf8": 11988, + "lines": 400, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 719, + "bytes_utf8": 719, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 352, + "bytes_utf8": 352, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16003, + "cached_input_tokens": 14720, + "output_tokens": 408, + "reasoning_output_tokens": 293 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a5773f27f983bd4e/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a5773f27f983bd4e/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4da70377ed601fadb36fb24242e17c49c79b0347 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a5773f27f983bd4e/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=bin_3, group_col_2=ord_0.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "bin_3", + "group_col_2": "ord_0", + "predicate_col": "bin_3", + "predicate_op": "=", + "predicate_value": "F", + "top_k": 14, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 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 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a5773f27f983bd4e/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a5773f27f983bd4e/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e65b505ef4eb5273c38e87fab44458d512ef7034 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a5773f27f983bd4e/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e9-1511-7670-b59c-c6c45921fcee"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"bin_3\\\", \\\"ord_0\\\", COUNT(*) AS row_count\\nFROM \\\"c14\\\"\\nWHERE \\\"bin_3\\\" = 'F'\\nGROUP BY \\\"bin_3\\\", \\\"ord_0\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Applied the provided filtered two-dimensional group count template using \\\"bin_3\\\" and \\\"ord_0\\\", with the required filter \\\"bin_3\\\" = 'F'.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16003,"cached_input_tokens":14720,"output_tokens":408,"reasoning_output_tokens":293}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a5773f27f983bd4e/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a5773f27f983bd4e/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..430572699b686b4314692b30cce991f7fb4febf6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a5773f27f983bd4e/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"bin_3\", \"ord_0\", COUNT(*) AS row_count\nFROM \"c14\"\nWHERE \"bin_3\" = 'F'\nGROUP BY \"bin_3\", \"ord_0\"\nORDER BY row_count DESC;","notes":"Applied the provided filtered two-dimensional group count template using \"bin_3\" and \"ord_0\", with the required filter \"bin_3\" = 'F'."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a5773f27f983bd4e/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a5773f27f983bd4e/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a7d680e6d74ac132/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a7d680e6d74ac132/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..399b8c21506892823ca759e39992ad36f793fa57 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a7d680e6d74ac132/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11860, "bytes_utf8": 11860, "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": 11860, "bytes_utf8": 11860, "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": 1703, "bytes_utf8": 1703, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15940, "cached_input_tokens": 14720, "output_tokens": 1068, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a7d680e6d74ac132/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a7d680e6d74ac132/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..b00bd0af7a4fdc01f86b566009b8751ed6dbc9fd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a7d680e6d74ac132/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_a7d680e6d74ac132", + "api_calls": 0, + "input_tokens": 15940, + "cached_input_tokens": 14720, + "output_tokens": 1068, + "total_tokens": 17008, + "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": 23054.48, + "sql_execution_elapsed_ms_total": 1277.41, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a7d680e6d74ac132/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a7d680e6d74ac132/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a7d680e6d74ac132/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..5e0e4612ba06aa80b64365f4f60ee2cfa7ea8f3b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a7d680e6d74ac132/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:57:07.077547+00:00", + "ended_at": "2026-05-19T15:57:10.403405+00:00", + "elapsed_ms": 3325.81, + "returncode": 1, + "prompt_metrics": { + "chars": 11860, + "bytes_utf8": 11860, + "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_d/c14/artifacts/v2q_c14_a7d680e6d74ac132/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a7d680e6d74ac132/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..83dc40ec2bc9cfe53941f15086532cc5606e8c77 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a7d680e6d74ac132/cli/sql_attempt_2.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:57:11.405426+00:00", + "ended_at": "2026-05-19T15:57:31.134129+00:00", + "elapsed_ms": 19728.67, + "prompt_metrics": { + "chars": 11860, + "bytes_utf8": 11860, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2325, + "bytes_utf8": 2325, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 1703, + "bytes_utf8": 1703, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15940, + "cached_input_tokens": 14720, + "output_tokens": 1068, + "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_d/c14/artifacts/v2q_c14_a7d680e6d74ac132/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a7d680e6d74ac132/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..cc7bdabacc90b3b8fd5cae7473590eb37a55e10e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a7d680e6d74ac132/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=day, measure_col=month.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "day", + "measure_col": "month", + "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": 8.64, + "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},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a7d680e6d74ac132/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a7d680e6d74ac132/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..cc7bdabacc90b3b8fd5cae7473590eb37a55e10e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a7d680e6d74ac132/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=day, measure_col=month.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "day", + "measure_col": "month", + "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": 8.64, + "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},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a7d680e6d74ac132/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a7d680e6d74ac132/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..bdd74f6b59bdb31d018529e950666daa2ca9d73e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a7d680e6d74ac132/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f4-8593-7e71-969a-a533f093928e"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a7d680e6d74ac132/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a7d680e6d74ac132/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..69babb5ac6481a3509281bf0d4581b6ed6ddae26 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a7d680e6d74ac132/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f4-8593-7e71-969a-a533f093928e"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a7d680e6d74ac132/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a7d680e6d74ac132/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..28a42b62fbfb0135542c0751511d2c6b28256fe7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a7d680e6d74ac132/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f4-967c-7620-abef-3ed505ac491c"} +{"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 \\\"day\\\",\\n CAST(\\\"month\\\" AS REAL) AS \\\"month_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"day\\\"\\n ORDER BY CAST(\\\"month\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"day\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"c14\\\"\\n WHERE \\\"day\\\" IS NOT NULL\\n AND \\\"month\\\" IS NOT NULL\\n),\\n\\\"positions\\\" AS (\\n SELECT\\n \\\"day\\\",\\n \\\"cnt\\\",\\n (1.0 + (\\\"cnt\\\" - 1) * 0.95) AS \\\"pos\\\"\\n FROM \\\"ordered\\\"\\n GROUP BY \\\"day\\\", \\\"cnt\\\"\\n),\\n\\\"bounds\\\" AS (\\n SELECT\\n \\\"day\\\",\\n \\\"cnt\\\",\\n \\\"pos\\\",\\n CAST(\\\"pos\\\" AS INTEGER) AS \\\"lower_rn\\\",\\n CASE\\n WHEN \\\"pos\\\" = CAST(\\\"pos\\\" AS INTEGER) THEN CAST(\\\"pos\\\" AS INTEGER)\\n ELSE CAST(\\\"pos\\\" AS INTEGER) + 1\\n END AS \\\"upper_rn\\\"\\n FROM \\\"positions\\\"\\n)\\nSELECT\\n b.\\\"day\\\",\\n CASE\\n WHEN b.\\\"lower_rn\\\" = b.\\\"upper_rn\\\" THEN MAX(CASE WHEN o.\\\"rn\\\" = b.\\\"lower_rn\\\" THEN o.\\\"month_value\\\" END)\\n ELSE\\n MAX(CASE WHEN o.\\\"rn\\\" = b.\\\"lower_rn\\\" THEN o.\\\"month_value\\\" END) +\\n (b.\\\"pos\\\" - b.\\\"lower_rn\\\") * (\\n MAX(CASE WHEN o.\\\"rn\\\" = b.\\\"upper_rn\\\" THEN o.\\\"month_value\\\" END) -\\n MAX(CASE WHEN o.\\\"rn\\\" = b.\\\"lower_rn\\\" THEN o.\\\"month_value\\\" END)\\n )\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"bounds\\\" AS b\\nJOIN \\\"ordered\\\" AS o\\n ON o.\\\"day\\\" = b.\\\"day\\\"\\nGROUP BY b.\\\"day\\\", b.\\\"pos\\\", b.\\\"lower_rn\\\", b.\\\"upper_rn\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this query emulates the 0.95 continuous percentile for each \\\"day\\\" using window functions and linear interpolation over CAST(\\\"month\\\" AS REAL).\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15940,"cached_input_tokens":14720,"output_tokens":1068,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a7d680e6d74ac132/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a7d680e6d74ac132/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..f4f481248532eb80fb522437718d85609ace5277 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a7d680e6d74ac132/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ordered\" AS (\n SELECT\n \"day\",\n CAST(\"month\" AS REAL) AS \"month_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"day\"\n ORDER BY CAST(\"month\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"day\"\n ) AS \"cnt\"\n FROM \"c14\"\n WHERE \"day\" IS NOT NULL\n AND \"month\" IS NOT NULL\n),\n\"positions\" AS (\n SELECT\n \"day\",\n \"cnt\",\n (1.0 + (\"cnt\" - 1) * 0.95) AS \"pos\"\n FROM \"ordered\"\n GROUP BY \"day\", \"cnt\"\n),\n\"bounds\" AS (\n SELECT\n \"day\",\n \"cnt\",\n \"pos\",\n CAST(\"pos\" AS INTEGER) AS \"lower_rn\",\n CASE\n WHEN \"pos\" = CAST(\"pos\" AS INTEGER) THEN CAST(\"pos\" AS INTEGER)\n ELSE CAST(\"pos\" AS INTEGER) + 1\n END AS \"upper_rn\"\n FROM \"positions\"\n)\nSELECT\n b.\"day\",\n CASE\n WHEN b.\"lower_rn\" = b.\"upper_rn\" THEN MAX(CASE WHEN o.\"rn\" = b.\"lower_rn\" THEN o.\"month_value\" END)\n ELSE\n MAX(CASE WHEN o.\"rn\" = b.\"lower_rn\" THEN o.\"month_value\" END) +\n (b.\"pos\" - b.\"lower_rn\") * (\n MAX(CASE WHEN o.\"rn\" = b.\"upper_rn\" THEN o.\"month_value\" END) -\n MAX(CASE WHEN o.\"rn\" = b.\"lower_rn\" THEN o.\"month_value\" END)\n )\n END AS \"percentile_measure\"\nFROM \"bounds\" AS b\nJOIN \"ordered\" AS o\n ON o.\"day\" = b.\"day\"\nGROUP BY b.\"day\", b.\"pos\", b.\"lower_rn\", b.\"upper_rn\"\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite does not support PERCENTILE_CONT, so this query emulates the 0.95 continuous percentile for each \"day\" using window functions and linear interpolation over CAST(\"month\" AS REAL)."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a7d680e6d74ac132/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a7d680e6d74ac132/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a7d680e6d74ac132/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a7d680e6d74ac132/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a9aaac4e7db33512/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a9aaac4e7db33512/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..cf08c728c45aa949e4b9f8200192061a4d9f46fc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a9aaac4e7db33512/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": "2026-05-19T16:05:23.750485+00:00", + "ended_at": "2026-05-19T16:05:26.895852+00:00", + "elapsed_ms": 3145.34, + "returncode": 1, + "prompt_metrics": { + "chars": 11945, + "bytes_utf8": 11945, + "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_d/c14/artifacts/v2q_c14_a9aaac4e7db33512/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a9aaac4e7db33512/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6338627a5799214e997701164edd6a8af2d34d02 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a9aaac4e7db33512/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": "2026-05-19T16:05:27.897505+00:00", + "ended_at": "2026-05-19T16:05:31.158938+00:00", + "elapsed_ms": 3261.4, + "returncode": 1, + "prompt_metrics": { + "chars": 11945, + "bytes_utf8": 11945, + "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_d/c14/artifacts/v2q_c14_a9aaac4e7db33512/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a9aaac4e7db33512/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a9ae7f2e0f5cf76981676effab5211216f794c81 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a9aaac4e7db33512/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "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": "Finland", + "positive_value": "China", + "negative_value": "Finland", + "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": 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 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a9aaac4e7db33512/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a9aaac4e7db33512/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..a9ae7f2e0f5cf76981676effab5211216f794c81 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a9aaac4e7db33512/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "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": "Finland", + "positive_value": "China", + "negative_value": "Finland", + "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": 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 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a9aaac4e7db33512/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a9aaac4e7db33512/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e7c5194f191f7638130f1abc1245afbbf07a95a0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a9aaac4e7db33512/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-19a1-7860-90bb-109cb2e53774"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a9aaac4e7db33512/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a9aaac4e7db33512/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..200a14641857b545b7f39c1d148b8e8a5e8985a5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a9aaac4e7db33512/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-19a1-7860-90bb-109cb2e53774"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a9aaac4e7db33512/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a9aaac4e7db33512/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..dafe9b3f9e644ea8812d1821016f5afefbd564e4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a9aaac4e7db33512/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-29dc-72f2-831a-601daee4b978"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a9aaac4e7db33512/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a9aaac4e7db33512/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..9e1e707cb7e029c2488d0f3f2dc8b994dad62090 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a9aaac4e7db33512/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-29dc-72f2-831a-601daee4b978"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a9aaac4e7db33512/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a9aaac4e7db33512/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a9aaac4e7db33512/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a9aaac4e7db33512/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_aaf5eb01ec7df390/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_aaf5eb01ec7df390/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..3b10e1aed0a4b86ba6e5efaffbe90a71404a92c0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_aaf5eb01ec7df390/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": "2026-05-19T16:09:31.583873+00:00", + "ended_at": "2026-05-19T16:09:34.621748+00:00", + "elapsed_ms": 3037.84, + "returncode": 1, + "prompt_metrics": { + "chars": 11675, + "bytes_utf8": 11675, + "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_d/c14/artifacts/v2q_c14_aaf5eb01ec7df390/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_aaf5eb01ec7df390/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..0772d577b3836f5e0891a2f1300387957d8bcda3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_aaf5eb01ec7df390/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": "2026-05-19T16:09:35.623621+00:00", + "ended_at": "2026-05-19T16:09:38.771378+00:00", + "elapsed_ms": 3147.73, + "returncode": 1, + "prompt_metrics": { + "chars": 11675, + "bytes_utf8": 11675, + "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_d/c14/artifacts/v2q_c14_aaf5eb01ec7df390/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_aaf5eb01ec7df390/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e8029bc7da9ba07c28f11e07660042559cc4251f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_aaf5eb01ec7df390/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "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": 9.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_aaf5eb01ec7df390/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_aaf5eb01ec7df390/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e8029bc7da9ba07c28f11e07660042559cc4251f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_aaf5eb01ec7df390/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "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": 9.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_aaf5eb01ec7df390/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_aaf5eb01ec7df390/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e06377d4ce46748aa439386058bfd5dd1e2e32c4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_aaf5eb01ec7df390/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-e1db-7643-99d1-65d5a168b2a7"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_aaf5eb01ec7df390/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_aaf5eb01ec7df390/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..065be90ec408e3cf0a2bd843546a5a6356ffb4aa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_aaf5eb01ec7df390/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-e1db-7643-99d1-65d5a168b2a7"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_aaf5eb01ec7df390/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_aaf5eb01ec7df390/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6b7c9096951262c2ac6172521231bd09ddc43073 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_aaf5eb01ec7df390/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-f18b-7072-9cf8-8569e9d0d2f2"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_aaf5eb01ec7df390/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_aaf5eb01ec7df390/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e57d2f690026835bac284ddf3c692767d092e92a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_aaf5eb01ec7df390/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-f18b-7072-9cf8-8569e9d0d2f2"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_aaf5eb01ec7df390/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_aaf5eb01ec7df390/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_aaf5eb01ec7df390/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_aaf5eb01ec7df390/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ade5be20b4ab6d17/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ade5be20b4ab6d17/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9c0e3695a56a58e6ba1a5c4420ff58389c9bec09 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ade5be20b4ab6d17/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12512, "bytes_utf8": 12512, "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": 657, "bytes_utf8": 657, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16125, "cached_input_tokens": 14720, "output_tokens": 718, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ade5be20b4ab6d17/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ade5be20b4ab6d17/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..3b1b4508224283fa137f6d40dd2bcec4b9aad91b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ade5be20b4ab6d17/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_ade5be20b4ab6d17", + "api_calls": 0, + "input_tokens": 16125, + "cached_input_tokens": 14720, + "output_tokens": 718, + "total_tokens": 16843, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 25214.06, + "sql_execution_elapsed_ms_total": 187.77, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ade5be20b4ab6d17/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ade5be20b4ab6d17/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ade5be20b4ab6d17/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..2c89a0538abdb5d1943ce9364fe3a983cd58eb5b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ade5be20b4ab6d17/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:42:13.127030+00:00", + "ended_at": "2026-05-19T15:42:38.341144+00:00", + "elapsed_ms": 25214.06, + "prompt_metrics": { + "chars": 12512, + "bytes_utf8": 12512, + "lines": 399, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1362, + "bytes_utf8": 1362, + "lines": 5, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 657, + "bytes_utf8": 657, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16125, + "cached_input_tokens": 14720, + "output_tokens": 718, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ade5be20b4ab6d17/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ade5be20b4ab6d17/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a85e271803508761eb5827ed71cecbf7e09ecbbd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ade5be20b4ab6d17/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=nom_1, condition_col=ord_2.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "nom_1", + "condition_col": "ord_2", + "condition_value": "Lava Hot", + "positive_value": "Lava Hot", + "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": 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 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ade5be20b4ab6d17/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ade5be20b4ab6d17/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..bddb7dd86832fdf73f072bfd60d2ff3ccab63a01 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ade5be20b4ab6d17/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,5 @@ +{"type":"thread.started","thread_id":"019e40e6-e1a6-79c0-9ab9-57b3455f8db8"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1985793, Requested 16760. Please try again in 76ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT \\\"nom_1\\\",\\n SUM(CASE WHEN \\\"ord_2\\\" = 'Lava Hot' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"ord_2\\\" = 'Boiling Hot' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"c14\\\"\\n GROUP BY \\\"nom_1\\\"\\n)\\nSELECT \\\"nom_1\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Computes, for each \\\"nom_1\\\" group, the ratio of rows where \\\"ord_2\\\" is 'Lava Hot' to rows where \\\"ord_2\\\" is 'Boiling Hot' using the planned grouped-ratio template.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16125,"cached_input_tokens":14720,"output_tokens":718,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ade5be20b4ab6d17/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ade5be20b4ab6d17/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..95ed390df9c09206a2f6c8c4fe3015fd10016cbd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ade5be20b4ab6d17/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT \"nom_1\",\n SUM(CASE WHEN \"ord_2\" = 'Lava Hot' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"ord_2\" = 'Boiling Hot' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"c14\"\n GROUP BY \"nom_1\"\n)\nSELECT \"nom_1\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;","notes":"Computes, for each \"nom_1\" group, the ratio of rows where \"ord_2\" is 'Lava Hot' to rows where \"ord_2\" is 'Boiling Hot' using the planned grouped-ratio template."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ade5be20b4ab6d17/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ade5be20b4ab6d17/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_af10c2d1716ae123/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_af10c2d1716ae123/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..bac861b3718e058a63befbf3c54d7a16e4b40653 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_af10c2d1716ae123/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12237, "bytes_utf8": 12237, "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": 751, "bytes_utf8": 751, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16048, "cached_input_tokens": 14720, "output_tokens": 749, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_af10c2d1716ae123/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_af10c2d1716ae123/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..1c8856db16dbdaed034d348ca3ac6b2ac8bdbe93 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_af10c2d1716ae123/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_af10c2d1716ae123", + "api_calls": 0, + "input_tokens": 16048, + "cached_input_tokens": 14720, + "output_tokens": 749, + "total_tokens": 16797, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 17785.31, + "sql_execution_elapsed_ms_total": 173.12, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_af10c2d1716ae123/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_af10c2d1716ae123/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_af10c2d1716ae123/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7a622f3858b233a225287de20e44048419b37536 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_af10c2d1716ae123/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": "2026-05-19T15:49:54.937831+00:00", + "ended_at": "2026-05-19T15:50:12.723176+00:00", + "elapsed_ms": 17785.31, + "prompt_metrics": { + "chars": 12237, + "bytes_utf8": 12237, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1180, + "bytes_utf8": 1180, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 751, + "bytes_utf8": 751, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16048, + "cached_input_tokens": 14720, + "output_tokens": 749, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_af10c2d1716ae123/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_af10c2d1716ae123/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..062c7b47f3cec13d2ad0f7f31c619f9e7782fa5e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_af10c2d1716ae123/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=nom_0, measure_col=ord_0.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "nom_0", + "measure_col": "ord_0", + "top_k": 12, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2.5, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_af10c2d1716ae123/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_af10c2d1716ae123/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..8c9a74b375952d48ac67cfd19f0662e10d65cacb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_af10c2d1716ae123/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ed-ed8b-7ca1-8608-ed7f4e1e4771"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n SELECT \\\"nom_0\\\", SUM(CAST(\\\"ord_0\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"c14\\\"\\n WHERE \\\"nom_0\\\" IS NOT NULL\\n AND \\\"ord_0\\\" IS NOT NULL\\n GROUP BY \\\"nom_0\\\"\\n), \\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT g.\\\"nom_0\\\", g.\\\"group_value\\\"\\nFROM \\\"grouped\\\" AS g\\nCROSS JOIN \\\"total\\\" AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.1\\nORDER BY g.\\\"group_value\\\" DESC;\",\"notes\":\"Applied the planned Relative-to-Total Extreme Threshold template with group_col=\\\"nom_0\\\" and measure_col=\\\"ord_0\\\". Cast \\\"ord_0\\\" to REAL because the schema stores it as TEXT, and filtered NULLs for a stable grouped view.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16048,"cached_input_tokens":14720,"output_tokens":749,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_af10c2d1716ae123/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_af10c2d1716ae123/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..230e12a457ba3160eb09a4970871255b045add3a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_af10c2d1716ae123/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH \"grouped\" AS (\n SELECT \"nom_0\", SUM(CAST(\"ord_0\" AS REAL)) AS \"group_value\"\n FROM \"c14\"\n WHERE \"nom_0\" IS NOT NULL\n AND \"ord_0\" IS NOT NULL\n GROUP BY \"nom_0\"\n), \"total\" AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM \"grouped\"\n)\nSELECT g.\"nom_0\", g.\"group_value\"\nFROM \"grouped\" AS g\nCROSS JOIN \"total\" AS t\nWHERE g.\"group_value\" > t.\"total_value\" * 0.1\nORDER BY g.\"group_value\" DESC;","notes":"Applied the planned Relative-to-Total Extreme Threshold template with group_col=\"nom_0\" and measure_col=\"ord_0\". Cast \"ord_0\" to REAL because the schema stores it as TEXT, and filtered NULLs for a stable grouped view."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_af10c2d1716ae123/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_af10c2d1716ae123/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_affa0907e938950b/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_affa0907e938950b/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f663076c3c19742a71dc6666edbe932db14feeaf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_affa0907e938950b/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": "2026-05-19T16:10:39.011895+00:00", + "ended_at": "2026-05-19T16:10:41.925071+00:00", + "elapsed_ms": 2913.15, + "returncode": 1, + "prompt_metrics": { + "chars": 11767, + "bytes_utf8": 11767, + "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_d/c14/artifacts/v2q_c14_affa0907e938950b/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_affa0907e938950b/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..30ca816c122980272f0085199162e4c98cf5f661 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_affa0907e938950b/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": "2026-05-19T16:10:42.926987+00:00", + "ended_at": "2026-05-19T16:10:46.155799+00:00", + "elapsed_ms": 3228.77, + "returncode": 1, + "prompt_metrics": { + "chars": 11767, + "bytes_utf8": 11767, + "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_d/c14/artifacts/v2q_c14_affa0907e938950b/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_affa0907e938950b/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9815a8a4f5836ce64e0ae76ab4c818a599feb4b6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_affa0907e938950b/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=nom_1, measure_col=id.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "nom_1", + "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": 172611.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_affa0907e938950b/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_affa0907e938950b/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..9815a8a4f5836ce64e0ae76ab4c818a599feb4b6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_affa0907e938950b/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=nom_1, measure_col=id.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "nom_1", + "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": 172611.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_affa0907e938950b/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_affa0907e938950b/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..4acecc0b7884705da6bea9d297726b1385a3fc64 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_affa0907e938950b/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-e91d-7bb0-aa1d-8d3e79abea3a"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_affa0907e938950b/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_affa0907e938950b/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d46cc3ec022598ac0b7aa3ffb6cf54325dc8df74 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_affa0907e938950b/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-e91d-7bb0-aa1d-8d3e79abea3a"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_affa0907e938950b/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_affa0907e938950b/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e8eb031bbbd542387dcbaf30262e8764c644934c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_affa0907e938950b/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-f870-76b3-83b6-555071b77cc4"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_affa0907e938950b/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_affa0907e938950b/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..9dee37a10113f01dc94d059ab4a83dbbb0b12744 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_affa0907e938950b/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-f870-76b3-83b6-555071b77cc4"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_affa0907e938950b/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_affa0907e938950b/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_affa0907e938950b/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_affa0907e938950b/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b094573590b30c01/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b094573590b30c01/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..30ee5d0560161266ce1cfb48d0d7ab247656db92 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b094573590b30c01/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11864, "bytes_utf8": 11864, "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": 870, "bytes_utf8": 870, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15948, "cached_input_tokens": 12032, "output_tokens": 1807, "reasoning_output_tokens": 1531}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b094573590b30c01/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b094573590b30c01/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..45dcb0f965815515db6f3ee83435dfdc435d02e6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b094573590b30c01/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_b094573590b30c01", + "api_calls": 0, + "input_tokens": 15948, + "cached_input_tokens": 12032, + "output_tokens": 1807, + "total_tokens": 17755, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 28807.49, + "sql_execution_elapsed_ms_total": 717.21, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b094573590b30c01/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b094573590b30c01/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b094573590b30c01/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..df69b19250f43f5f135c89dd74711b0d6a4719fc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b094573590b30c01/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:03:54.321913+00:00", + "ended_at": "2026-05-19T16:04:23.129435+00:00", + "elapsed_ms": 28807.49, + "prompt_metrics": { + "chars": 11864, + "bytes_utf8": 11864, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1311, + "bytes_utf8": 1311, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 870, + "bytes_utf8": 870, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15948, + "cached_input_tokens": 12032, + "output_tokens": 1807, + "reasoning_output_tokens": 1531 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b094573590b30c01/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b094573590b30c01/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ef7e17edab3951310a23e9e1e7688402b3624948 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b094573590b30c01/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=bin_3, measure_col=ord_0.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "bin_3", + "measure_col": "ord_0", + "top_k": 18, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2.32, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b094573590b30c01/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b094573590b30c01/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5f03cd74231131d482bb7efcd199e315d0c78414 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b094573590b30c01/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-bc7b-7a32-b470-74ed6a00a1a8"} +{"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 \\\"bin_3\\\",\\n CAST(\\\"ord_0\\\" AS REAL) AS \\\"measure_value\\\",\\n CUME_DIST() OVER (\\n PARTITION BY \\\"bin_3\\\"\\n ORDER BY CAST(\\\"ord_0\\\" AS REAL)\\n ) AS \\\"cume_dist_value\\\",\\n COUNT(*) OVER (PARTITION BY \\\"bin_3\\\") AS \\\"group_size\\\"\\n FROM \\\"c14\\\"\\n WHERE \\\"bin_3\\\" IS NOT NULL\\n AND \\\"ord_0\\\" IS NOT NULL\\n)\\nSELECT\\n \\\"bin_3\\\",\\n MIN(\\\"measure_value\\\") AS \\\"percentile_measure\\\"\\nFROM \\\"ranked\\\"\\nWHERE \\\"cume_dist_value\\\" >= 0.95\\n AND \\\"group_size\\\" >= 5\\nGROUP BY \\\"bin_3\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this uses CUME_DIST to return the nearest-rank 95th percentile of \\\"ord_0\\\" within each \\\"bin_3\\\" group, casting \\\"ord_0\\\" from TEXT to REAL and excluding groups smaller than 5 rows.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15948,"cached_input_tokens":12032,"output_tokens":1807,"reasoning_output_tokens":1531}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b094573590b30c01/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b094573590b30c01/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3d2159ef3d58d06174c68f6741559d2a0323b5ab --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b094573590b30c01/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n \"bin_3\",\n CAST(\"ord_0\" AS REAL) AS \"measure_value\",\n CUME_DIST() OVER (\n PARTITION BY \"bin_3\"\n ORDER BY CAST(\"ord_0\" AS REAL)\n ) AS \"cume_dist_value\",\n COUNT(*) OVER (PARTITION BY \"bin_3\") AS \"group_size\"\n FROM \"c14\"\n WHERE \"bin_3\" IS NOT NULL\n AND \"ord_0\" IS NOT NULL\n)\nSELECT\n \"bin_3\",\n MIN(\"measure_value\") AS \"percentile_measure\"\nFROM \"ranked\"\nWHERE \"cume_dist_value\" >= 0.95\n AND \"group_size\" >= 5\nGROUP BY \"bin_3\"\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite does not support PERCENTILE_CONT, so this uses CUME_DIST to return the nearest-rank 95th percentile of \"ord_0\" within each \"bin_3\" group, casting \"ord_0\" from TEXT to REAL and excluding groups smaller than 5 rows."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b094573590b30c01/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b094573590b30c01/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b57a9e79a7ef0837/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b57a9e79a7ef0837/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1683477d1b8391df8cc63b04a052adaf379f6dd2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b57a9e79a7ef0837/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12237, "bytes_utf8": 12237, "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": 726, "bytes_utf8": 726, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16048, "cached_input_tokens": 14720, "output_tokens": 688, "reasoning_output_tokens": 454}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b57a9e79a7ef0837/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b57a9e79a7ef0837/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..ff31380191c226742810772728c733e5cdde4385 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b57a9e79a7ef0837/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_b57a9e79a7ef0837", + "api_calls": 0, + "input_tokens": 16048, + "cached_input_tokens": 14720, + "output_tokens": 688, + "total_tokens": 16736, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13332.34, + "sql_execution_elapsed_ms_total": 186.1, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b57a9e79a7ef0837/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b57a9e79a7ef0837/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b57a9e79a7ef0837/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f78792abbdb03133967be84230ac23dca9e5b7ab --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b57a9e79a7ef0837/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": "2026-05-19T15:51:58.806893+00:00", + "ended_at": "2026-05-19T15:52:12.139276+00:00", + "elapsed_ms": 13332.34, + "prompt_metrics": { + "chars": 12237, + "bytes_utf8": 12237, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1160, + "bytes_utf8": 1160, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 726, + "bytes_utf8": 726, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16048, + "cached_input_tokens": 14720, + "output_tokens": 688, + "reasoning_output_tokens": 454 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b57a9e79a7ef0837/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b57a9e79a7ef0837/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c6ad6097582047121d6cfd10c07322a149a20e88 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b57a9e79a7ef0837/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "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_d/c14/artifacts/v2q_c14_b57a9e79a7ef0837/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b57a9e79a7ef0837/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..d42adf635496237ca22da012b37ec310e03299c5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b57a9e79a7ef0837/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ef-d151-7f03-afb6-6a14ffcb0659"} +{"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 \\\"nom_4\\\",\\n SUM(CAST(\\\"ord_0\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"c14\\\"\\n WHERE \\\"nom_4\\\" IS NOT NULL\\n AND \\\"ord_0\\\" IS NOT NULL\\n GROUP BY \\\"nom_4\\\"\\n),\\n\\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT\\n g.\\\"nom_4\\\",\\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\":\"Used the required template with group_col=\\\"nom_4\\\" and measure_col=\\\"ord_0\\\". Cast \\\"ord_0\\\" from TEXT to REAL for numeric aggregation and filtered NULLs for a stable grouped view.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16048,"cached_input_tokens":14720,"output_tokens":688,"reasoning_output_tokens":454}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b57a9e79a7ef0837/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b57a9e79a7ef0837/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2f5a74df85cb0ce90f8f4b3a9e5c06c699c4fa1c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b57a9e79a7ef0837/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH \"grouped\" AS (\n SELECT\n \"nom_4\",\n SUM(CAST(\"ord_0\" AS REAL)) AS \"group_value\"\n FROM \"c14\"\n WHERE \"nom_4\" IS NOT NULL\n AND \"ord_0\" IS NOT NULL\n GROUP BY \"nom_4\"\n),\n\"total\" AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM \"grouped\"\n)\nSELECT\n g.\"nom_4\",\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":"Used the required template with group_col=\"nom_4\" and measure_col=\"ord_0\". Cast \"ord_0\" from TEXT to REAL for numeric aggregation and filtered NULLs for a stable grouped view."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b57a9e79a7ef0837/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b57a9e79a7ef0837/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b5a05959ab242ebd/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b5a05959ab242ebd/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..fe08b4a1c1ff9eb9ef1d717ea744e3111c9118e2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b5a05959ab242ebd/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": "2026-05-19T16:08:39.829387+00:00", + "ended_at": "2026-05-19T16:08:43.058649+00:00", + "elapsed_ms": 3229.24, + "returncode": 1, + "prompt_metrics": { + "chars": 11682, + "bytes_utf8": 11682, + "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_d/c14/artifacts/v2q_c14_b5a05959ab242ebd/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b5a05959ab242ebd/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..bc45e431b2a758134510aca5c792e1afeac8d92c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b5a05959ab242ebd/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": "2026-05-19T16:08:44.060610+00:00", + "ended_at": "2026-05-19T16:08:48.619676+00:00", + "elapsed_ms": 4559.03, + "returncode": 1, + "prompt_metrics": { + "chars": 11682, + "bytes_utf8": 11682, + "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_d/c14/artifacts/v2q_c14_b5a05959ab242ebd/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b5a05959ab242ebd/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ae028c550e98cee7a84b51dd92cda939e16d896d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b5a05959ab242ebd/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=ord_2.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "ord_2", + "top_k": 10, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 172611.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b5a05959ab242ebd/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b5a05959ab242ebd/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..ae028c550e98cee7a84b51dd92cda939e16d896d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b5a05959ab242ebd/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=ord_2.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "ord_2", + "top_k": 10, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 172611.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b5a05959ab242ebd/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b5a05959ab242ebd/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..4f3d7c5d05dc5f9d58329cf049f679b65f4262c0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b5a05959ab242ebd/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-1798-73e2-9580-543487658ce8"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b5a05959ab242ebd/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b5a05959ab242ebd/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..46444e6b46f5921f8a0531e18c9698eb41502888 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b5a05959ab242ebd/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-1798-73e2-9580-543487658ce8"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b5a05959ab242ebd/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b5a05959ab242ebd/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..4c36ab1f11ff317e997fc900bf8bc8cf223126e7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b5a05959ab242ebd/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-281b-7873-9f8f-e628f42bf602"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b5a05959ab242ebd/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b5a05959ab242ebd/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e931255c5168aae91f786d519bb749488ea5cb93 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b5a05959ab242ebd/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-281b-7873-9f8f-e628f42bf602"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b5a05959ab242ebd/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b5a05959ab242ebd/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b5a05959ab242ebd/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b5a05959ab242ebd/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bb3dcc5c6b8957ae/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bb3dcc5c6b8957ae/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..db6a299f298b11c38a8872469437e205f15fed54 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bb3dcc5c6b8957ae/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11930, "bytes_utf8": 11930, "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": 11930, "bytes_utf8": 11930, "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": 469, "bytes_utf8": 469, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15974, "cached_input_tokens": 12032, "output_tokens": 563, "reasoning_output_tokens": 417}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bb3dcc5c6b8957ae/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bb3dcc5c6b8957ae/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..f34dc3e29f4782bb0cfd27623bb0696ec28224a2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bb3dcc5c6b8957ae/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_bb3dcc5c6b8957ae", + "api_calls": 0, + "input_tokens": 15974, + "cached_input_tokens": 12032, + "output_tokens": 563, + "total_tokens": 16537, + "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": 14799.96, + "sql_execution_elapsed_ms_total": 186.91, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bb3dcc5c6b8957ae/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bb3dcc5c6b8957ae/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bb3dcc5c6b8957ae/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..489add8a6575e2b8eb50ec295922c874fde9645c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bb3dcc5c6b8957ae/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": "2026-05-19T16:05:31.176367+00:00", + "ended_at": "2026-05-19T16:05:35.058858+00:00", + "elapsed_ms": 3882.47, + "returncode": 1, + "prompt_metrics": { + "chars": 11930, + "bytes_utf8": 11930, + "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_d/c14/artifacts/v2q_c14_bb3dcc5c6b8957ae/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bb3dcc5c6b8957ae/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c290667591b564c88cfbdf87d5eeec5849cffc32 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bb3dcc5c6b8957ae/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": "2026-05-19T16:05:36.061972+00:00", + "ended_at": "2026-05-19T16:05:46.979516+00:00", + "elapsed_ms": 10917.49, + "prompt_metrics": { + "chars": 11930, + "bytes_utf8": 11930, + "lines": 399, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 844, + "bytes_utf8": 844, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 469, + "bytes_utf8": 469, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15974, + "cached_input_tokens": 12032, + "output_tokens": 563, + "reasoning_output_tokens": 417 + } + }, + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bb3dcc5c6b8957ae/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bb3dcc5c6b8957ae/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8dd59674ffeb5f96bc66384806be8fc76d6d40d2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bb3dcc5c6b8957ae/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "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": "Oboe", + "positive_value": "Oboe", + "negative_value": "Bassoon", + "top_k": 14, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 9.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bb3dcc5c6b8957ae/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bb3dcc5c6b8957ae/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..8dd59674ffeb5f96bc66384806be8fc76d6d40d2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bb3dcc5c6b8957ae/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "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": "Oboe", + "positive_value": "Oboe", + "negative_value": "Bassoon", + "top_k": 14, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 9.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bb3dcc5c6b8957ae/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bb3dcc5c6b8957ae/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..999709451fab633508db91c0f9a9c4315f336a50 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bb3dcc5c6b8957ae/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-36b8-7820-b343-fabfb860a6a9"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bb3dcc5c6b8957ae/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bb3dcc5c6b8957ae/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..869d53c80388b95dde4f0c041e257ab236295ea3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bb3dcc5c6b8957ae/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-36b8-7820-b343-fabfb860a6a9"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bb3dcc5c6b8957ae/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bb3dcc5c6b8957ae/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..65ade6385bd6d761b674de4aa9de9574bedbb5d3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bb3dcc5c6b8957ae/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-49ca-74b1-91ba-c7340c793a2c"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate.\\nSELECT \\\"nom_4\\\",\\n AVG(CASE WHEN \\\"nom_4\\\" = 'Oboe' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"c14\\\"\\nGROUP BY \\\"nom_4\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Uses the required template with \\\"group_col\\\" = \\\"nom_4\\\" and \\\"condition_col\\\" = \\\"nom_4\\\". Because the grouping column and condition column are the same, the \\\"Oboe\\\" group will have rate 1.0 and all other groups will have rate 0.0.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15974,"cached_input_tokens":12032,"output_tokens":563,"reasoning_output_tokens":417}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bb3dcc5c6b8957ae/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bb3dcc5c6b8957ae/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..268f3775fad6cc442cdb5a26c55fe2e38ca3a32c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bb3dcc5c6b8957ae/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_condition_rate.\nSELECT \"nom_4\",\n AVG(CASE WHEN \"nom_4\" = 'Oboe' THEN 1 ELSE 0 END) AS \"condition_rate\"\nFROM \"c14\"\nGROUP BY \"nom_4\"\nORDER BY \"condition_rate\" DESC;","notes":"Uses the required template with \"group_col\" = \"nom_4\" and \"condition_col\" = \"nom_4\". Because the grouping column and condition column are the same, the \"Oboe\" group will have rate 1.0 and all other groups will have rate 0.0."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bb3dcc5c6b8957ae/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bb3dcc5c6b8957ae/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bb3dcc5c6b8957ae/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bb3dcc5c6b8957ae/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bc4515caddd94ecb/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bc4515caddd94ecb/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4ae40263cadd2cc44287fdd3a8d24ac7b851bb33 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bc4515caddd94ecb/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12084, "bytes_utf8": 12084, "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": 567, "bytes_utf8": 567, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16029, "cached_input_tokens": 14720, "output_tokens": 698, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bc4515caddd94ecb/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bc4515caddd94ecb/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..fc0781f6010b11f5c5c1b9f7623703735a9b378d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bc4515caddd94ecb/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_bc4515caddd94ecb", + "api_calls": 0, + "input_tokens": 16029, + "cached_input_tokens": 14720, + "output_tokens": 698, + "total_tokens": 16727, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13699.16, + "sql_execution_elapsed_ms_total": 339.3, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bc4515caddd94ecb/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bc4515caddd94ecb/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bc4515caddd94ecb/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d317e54dab5d7ad06964a95e035d8b4f76b620e7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bc4515caddd94ecb/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": "2026-05-19T15:34:59.039602+00:00", + "ended_at": "2026-05-19T15:35:12.738795+00:00", + "elapsed_ms": 13699.16, + "prompt_metrics": { + "chars": 12084, + "bytes_utf8": 12084, + "lines": 398, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 951, + "bytes_utf8": 951, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 567, + "bytes_utf8": 567, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16029, + "cached_input_tokens": 14720, + "output_tokens": 698, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bc4515caddd94ecb/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bc4515caddd94ecb/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..70585841c4b8e208fd03e00eb597a8103e1c47fb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bc4515caddd94ecb/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. 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": 10, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2.5, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bc4515caddd94ecb/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bc4515caddd94ecb/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..935b5d1173074ead648c2f97c6bc022eab302ec2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bc4515caddd94ecb/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e0-41e6-7433-b726-1d6ba508eca1"} +{"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(\\\"ord_0\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"ord_0\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"ord_0\\\" AS REAL))) OVER (PARTITION BY \\\"nom_2\\\") AS share_within_group\\nFROM \\\"c14\\\"\\nGROUP BY \\\"nom_2\\\", \\\"nom_6\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the provided Within-Group Share of Total template with group_col=\\\"nom_2\\\", item_col=\\\"nom_6\\\", and measure_col=\\\"ord_0\\\". Cast \\\"ord_0\\\" to REAL because it is stored as TEXT in the SQLite schema.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16029,"cached_input_tokens":14720,"output_tokens":698,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bc4515caddd94ecb/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bc4515caddd94ecb/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ee0b22cdae928f7e899617e430ce9ab3df3630d4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bc4515caddd94ecb/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"nom_2\", \"nom_6\",\n SUM(CAST(\"ord_0\" AS REAL)) AS total_measure,\n SUM(CAST(\"ord_0\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"ord_0\" AS REAL))) OVER (PARTITION BY \"nom_2\") AS share_within_group\nFROM \"c14\"\nGROUP BY \"nom_2\", \"nom_6\"\nORDER BY share_within_group DESC;","notes":"Applied the provided Within-Group Share of Total template with group_col=\"nom_2\", item_col=\"nom_6\", and measure_col=\"ord_0\". Cast \"ord_0\" to REAL because it is stored as TEXT in the SQLite schema."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bc4515caddd94ecb/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bc4515caddd94ecb/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c043f6997532da0f/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c043f6997532da0f/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..38edeb9cefacee4fbac5a29a378dff5655918513 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c043f6997532da0f/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11858, "bytes_utf8": 11858, "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": 594, "bytes_utf8": 594, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15957, "cached_input_tokens": 12032, "output_tokens": 600, "reasoning_output_tokens": 432}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c043f6997532da0f/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c043f6997532da0f/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..4cfd14a82bd6df8c0a3574bb32be8896659cf708 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c043f6997532da0f/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_c043f6997532da0f", + "api_calls": 0, + "input_tokens": 15957, + "cached_input_tokens": 12032, + "output_tokens": 600, + "total_tokens": 16557, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 16868.6, + "sql_execution_elapsed_ms_total": 416.96, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c043f6997532da0f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c043f6997532da0f/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c043f6997532da0f/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f3463c1e5c86e5a8a32c38a8a195588791ddcd49 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c043f6997532da0f/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": "2026-05-19T15:46:22.521635+00:00", + "ended_at": "2026-05-19T15:46:39.390283+00:00", + "elapsed_ms": 16868.6, + "prompt_metrics": { + "chars": 11858, + "bytes_utf8": 11858, + "lines": 394, + "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": 594, + "bytes_utf8": 594, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15957, + "cached_input_tokens": 12032, + "output_tokens": 600, + "reasoning_output_tokens": 432 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c043f6997532da0f/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c043f6997532da0f/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..208efbab70ce8e5a89f53b4ac5cdd40c6a6e7049 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c043f6997532da0f/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "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": 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": 172611.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c043f6997532da0f/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c043f6997532da0f/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..4270093db0fe73269b775e9cde3965f7095496d6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c043f6997532da0f/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ea-b050-71f2-858e-2b284d5702cf"} +{"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 \\\"id\\\",\\n CAST(\\\"id\\\" AS INTEGER) AS \\\"id_num\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"id\\\" AS INTEGER) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"c14\\\"\\n)\\nSELECT \\\"id\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"id_num\\\" DESC;\",\"notes\":\"Used the planned Quantile Tail Slice template on measure_col=\\\"id\\\" with 10 tiles. Because \\\"id\\\" is stored as TEXT in SQLite, the query casts it to INTEGER for correct numeric tail ordering while still returning the original \\\"id\\\" values.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15957,"cached_input_tokens":12032,"output_tokens":600,"reasoning_output_tokens":432}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c043f6997532da0f/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c043f6997532da0f/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..765f799fdfa948e562483c11b2f6f6a8fd1c12cb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c043f6997532da0f/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_quantile_tail_slice\nWITH \"buckets\" AS (\n SELECT\n \"id\",\n CAST(\"id\" AS INTEGER) AS \"id_num\",\n NTILE(10) OVER (ORDER BY CAST(\"id\" AS INTEGER) DESC) AS \"tail_bucket\"\n FROM \"c14\"\n)\nSELECT \"id\"\nFROM \"buckets\"\nWHERE \"tail_bucket\" = 1\nORDER BY \"id_num\" DESC;","notes":"Used the planned Quantile Tail Slice template on measure_col=\"id\" with 10 tiles. Because \"id\" is stored as TEXT in SQLite, the query casts it to INTEGER for correct numeric tail ordering while still returning the original \"id\" values."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c043f6997532da0f/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c043f6997532da0f/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c1b4265c237f290f/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c1b4265c237f290f/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b126c10a8e26460300a8a61b6b6ec370e27e5450 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c1b4265c237f290f/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11987, "bytes_utf8": 11987, "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": 358, "bytes_utf8": 358, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16003, "cached_input_tokens": 12032, "output_tokens": 301, "reasoning_output_tokens": 183}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c1b4265c237f290f/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c1b4265c237f290f/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..7580ba9f31aa551a2c054208e53d9a87ad02c51a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c1b4265c237f290f/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_c1b4265c237f290f", + "api_calls": 0, + "input_tokens": 16003, + "cached_input_tokens": 12032, + "output_tokens": 301, + "total_tokens": 16304, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 19617.15, + "sql_execution_elapsed_ms_total": 108.61, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c1b4265c237f290f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c1b4265c237f290f/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c1b4265c237f290f/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..90653a4d57f6961662080a7b67ec2649b3d6c619 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c1b4265c237f290f/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:44:47.390378+00:00", + "ended_at": "2026-05-19T15:45:07.007552+00:00", + "elapsed_ms": 19617.15, + "prompt_metrics": { + "chars": 11987, + "bytes_utf8": 11987, + "lines": 400, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1723, + "bytes_utf8": 1723, + "lines": 7, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 358, + "bytes_utf8": 358, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16003, + "cached_input_tokens": 12032, + "output_tokens": 301, + "reasoning_output_tokens": 183 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c1b4265c237f290f/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c1b4265c237f290f/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c2e824000265368f7bcc52e7111f39e145cf9fd6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c1b4265c237f290f/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=bin_3, group_col_2=ord_1.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "bin_3", + "group_col_2": "ord_1", + "predicate_col": "bin_4", + "predicate_op": "=", + "predicate_value": "N", + "top_k": 10, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 9.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c1b4265c237f290f/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c1b4265c237f290f/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..8ff6239e65fae5064deb1cc1a18c94b157dfc466 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c1b4265c237f290f/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,7 @@ +{"type":"thread.started","thread_id":"019e40e9-3c26-7be0-8ce5-74a65fb6045f"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1984331, Requested 16638. Please try again in 29ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 3/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1991256, Requested 16638. Please try again in 236ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 4/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1990967, Requested 16638. Please try again in 228ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"bin_3\\\", \\\"ord_1\\\", COUNT(*) AS row_count\\nFROM \\\"c14\\\"\\nWHERE \\\"bin_4\\\" = 'N'\\nGROUP BY \\\"bin_3\\\", \\\"ord_1\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Applied the planned filtered two-dimensional group count template with group_col=\\\"bin_3\\\", group_col_2=\\\"ord_1\\\", and predicate \\\"bin_4\\\" = 'N'.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16003,"cached_input_tokens":12032,"output_tokens":301,"reasoning_output_tokens":183}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c1b4265c237f290f/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c1b4265c237f290f/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..04af397f2e1a07842df1be4ea05935526ad249d5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c1b4265c237f290f/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"bin_3\", \"ord_1\", COUNT(*) AS row_count\nFROM \"c14\"\nWHERE \"bin_4\" = 'N'\nGROUP BY \"bin_3\", \"ord_1\"\nORDER BY row_count DESC;","notes":"Applied the planned filtered two-dimensional group count template with group_col=\"bin_3\", group_col_2=\"ord_1\", and predicate \"bin_4\" = 'N'."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c1b4265c237f290f/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c1b4265c237f290f/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c3f3babc559c577b/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c3f3babc559c577b/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ab2e7c1279f7983674a0d8c27c9678948541c41a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c3f3babc559c577b/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11994, "bytes_utf8": 11994, "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": 412, "bytes_utf8": 412, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16005, "cached_input_tokens": 14720, "output_tokens": 531, "reasoning_output_tokens": 405}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c3f3babc559c577b/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c3f3babc559c577b/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..4069339792cfc8471ab1316453078cf138281298 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c3f3babc559c577b/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_c3f3babc559c577b", + "api_calls": 0, + "input_tokens": 16005, + "cached_input_tokens": 14720, + "output_tokens": 531, + "total_tokens": 16536, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 23880.64, + "sql_execution_elapsed_ms_total": 104.59, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c3f3babc559c577b/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c3f3babc559c577b/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c3f3babc559c577b/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f3c92fcb0a06ba850ef03dab92af706196ed0438 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c3f3babc559c577b/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": "2026-05-19T15:43:05.629823+00:00", + "ended_at": "2026-05-19T15:43:29.510491+00:00", + "elapsed_ms": 23880.64, + "prompt_metrics": { + "chars": 11994, + "bytes_utf8": 11994, + "lines": 400, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2117, + "bytes_utf8": 2117, + "lines": 8, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 412, + "bytes_utf8": 412, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16005, + "cached_input_tokens": 14720, + "output_tokens": 531, + "reasoning_output_tokens": 405 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c3f3babc559c577b/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c3f3babc559c577b/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..774c159ad6ca1bdfd95146c64585eb79e50d9096 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c3f3babc559c577b/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=bin_3, group_col_2=bin_4.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "bin_3", + "group_col_2": "bin_4", + "predicate_col": "month", + "predicate_op": ">=", + "predicate_value": 9.0, + "top_k": 13, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 172611.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c3f3babc559c577b/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c3f3babc559c577b/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b3ed7c8d4786f5e9a32b54d0cf43be25c2cb266f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c3f3babc559c577b/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,8 @@ +{"type":"thread.started","thread_id":"019e40e7-ae97-7d13-8a79-e1ef4fdd166a"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1984479, Requested 16640. Please try again in 33ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 3/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1988216, Requested 16640. Please try again in 145ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 4/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1985458, Requested 16640. Please try again in 62ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 5/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 16640. Please try again in 499ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"bin_3\\\", \\\"bin_4\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"c14\\\"\\nWHERE CAST(\\\"month\\\" AS REAL) >= 9.0\\nGROUP BY \\\"bin_3\\\", \\\"bin_4\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Applied the planned filtered two-dimensional group count template with \\\"bin_3\\\" and \\\"bin_4\\\" as grouping columns; cast \\\"month\\\" to REAL because the schema stores it as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16005,"cached_input_tokens":14720,"output_tokens":531,"reasoning_output_tokens":405}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c3f3babc559c577b/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c3f3babc559c577b/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8460be9d38ea9d8f13589eafe16863a383ae0f42 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c3f3babc559c577b/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"bin_3\", \"bin_4\", COUNT(*) AS \"row_count\"\nFROM \"c14\"\nWHERE CAST(\"month\" AS REAL) >= 9.0\nGROUP BY \"bin_3\", \"bin_4\"\nORDER BY \"row_count\" DESC;","notes":"Applied the planned filtered two-dimensional group count template with \"bin_3\" and \"bin_4\" as grouping columns; cast \"month\" to REAL because the schema stores it as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c3f3babc559c577b/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c3f3babc559c577b/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c42e8c30b991dd78/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c42e8c30b991dd78/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..cd1e0b9425cad16b881836bfc3aae64e3a695cad --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c42e8c30b991dd78/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12517, "bytes_utf8": 12517, "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": 650, "bytes_utf8": 650, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16121, "cached_input_tokens": 14720, "output_tokens": 581, "reasoning_output_tokens": 397}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c42e8c30b991dd78/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c42e8c30b991dd78/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..d54b4217ed439b0c1309ce5430fe1d97bda5e6a9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c42e8c30b991dd78/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_c42e8c30b991dd78", + "api_calls": 0, + "input_tokens": 16121, + "cached_input_tokens": 14720, + "output_tokens": 581, + "total_tokens": 16702, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11130.0, + "sql_execution_elapsed_ms_total": 182.02, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c42e8c30b991dd78/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c42e8c30b991dd78/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c42e8c30b991dd78/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..2604a00bcf241deec65c20b47295a202c2405ac0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c42e8c30b991dd78/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:42:01.794414+00:00", + "ended_at": "2026-05-19T15:42:12.924446+00:00", + "elapsed_ms": 11130.0, + "prompt_metrics": { + "chars": 12517, + "bytes_utf8": 12517, + "lines": 399, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1019, + "bytes_utf8": 1019, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 650, + "bytes_utf8": 650, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16121, + "cached_input_tokens": 14720, + "output_tokens": 581, + "reasoning_output_tokens": 397 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c42e8c30b991dd78/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c42e8c30b991dd78/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..952b36d58cd330e36ff45d830a50f05c97729b50 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c42e8c30b991dd78/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=nom_0, condition_col=ord_1.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "nom_0", + "condition_col": "ord_1", + "condition_value": "Grandmaster", + "positive_value": "Grandmaster", + "negative_value": "Contributor", + "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},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c42e8c30b991dd78/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c42e8c30b991dd78/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..69dd652373350b653ed545ca9c8963b4d7e6d7d9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c42e8c30b991dd78/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e6-b552-7eb2-bef0-487cf313eebb"} +{"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 \\\"nom_0\\\",\\n SUM(CASE WHEN \\\"ord_1\\\" = 'Grandmaster' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"ord_1\\\" = 'Contributor' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"c14\\\"\\n GROUP BY \\\"nom_0\\\"\\n)\\nSELECT \\\"nom_0\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Uses the planned grouped ratio template with group_col=\\\"nom_0\\\" and condition_col=\\\"ord_1\\\", computing Grandmaster-to-Contributor ratio per nom_0 category.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16121,"cached_input_tokens":14720,"output_tokens":581,"reasoning_output_tokens":397}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c42e8c30b991dd78/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c42e8c30b991dd78/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7635534a6fd3fae9485e2090bfabf045c9a230b7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c42e8c30b991dd78/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT \"nom_0\",\n SUM(CASE WHEN \"ord_1\" = 'Grandmaster' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"ord_1\" = 'Contributor' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"c14\"\n GROUP BY \"nom_0\"\n)\nSELECT \"nom_0\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;","notes":"Uses the planned grouped ratio template with group_col=\"nom_0\" and condition_col=\"ord_1\", computing Grandmaster-to-Contributor ratio per nom_0 category."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c42e8c30b991dd78/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c42e8c30b991dd78/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c4e58bb807a33117/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c4e58bb807a33117/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ecd761bc4af864bf26889ca269b08804ec3e4ca2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c4e58bb807a33117/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11685, "bytes_utf8": 11685, "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": 357, "bytes_utf8": 357, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15910, "cached_input_tokens": 12032, "output_tokens": 386, "reasoning_output_tokens": 277}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c4e58bb807a33117/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c4e58bb807a33117/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..b10d211b1eaea3d0c4867298a54ef997d607fd74 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c4e58bb807a33117/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_c4e58bb807a33117", + "api_calls": 0, + "input_tokens": 15910, + "cached_input_tokens": 12032, + "output_tokens": 386, + "total_tokens": 16296, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15245.73, + "sql_execution_elapsed_ms_total": 155.55, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c4e58bb807a33117/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c4e58bb807a33117/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c4e58bb807a33117/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4247aba4aac765de02bf9567617b5df565d0ff4b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c4e58bb807a33117/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": "2026-05-19T15:30:18.024518+00:00", + "ended_at": "2026-05-19T15:30:33.270278+00:00", + "elapsed_ms": 15245.73, + "prompt_metrics": { + "chars": 11685, + "bytes_utf8": 11685, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1047, + "bytes_utf8": 1047, + "lines": 5, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 357, + "bytes_utf8": 357, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15910, + "cached_input_tokens": 12032, + "output_tokens": 386, + "reasoning_output_tokens": 277 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c4e58bb807a33117/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c4e58bb807a33117/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..507d8f8caad48bdbd4ddb6b30f00a0a7627bc208 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c4e58bb807a33117/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "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=ord_0.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "nom_0", + "measure_col": "ord_0", + "top_k": 15, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 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}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c4e58bb807a33117/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c4e58bb807a33117/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b18345a61a02294ed1d6a887597b5c2759824766 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c4e58bb807a33117/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,5 @@ +{"type":"thread.started","thread_id":"019e40db-f82a-70e3-879b-7116038506e5"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1985334, Requested 16545. Please try again in 56ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"nom_0\\\", SUM(CAST(\\\"ord_0\\\" AS NUMERIC)) AS total_measure\\nFROM \\\"c14\\\"\\nGROUP BY \\\"nom_0\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Applied the planned Grouped Numeric Sum template with group_col=\\\"nom_0\\\" and measure_col=\\\"ord_0\\\". Cast \\\"ord_0\\\" to NUMERIC because the SQLite schema stores it as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15910,"cached_input_tokens":12032,"output_tokens":386,"reasoning_output_tokens":277}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c4e58bb807a33117/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c4e58bb807a33117/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..02d16e4d70fcfd67cc43fcc03523ecf097030ed1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c4e58bb807a33117/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"nom_0\", SUM(CAST(\"ord_0\" AS NUMERIC)) AS total_measure\nFROM \"c14\"\nGROUP BY \"nom_0\"\nORDER BY total_measure DESC;","notes":"Applied the planned Grouped Numeric Sum template with group_col=\"nom_0\" and measure_col=\"ord_0\". Cast \"ord_0\" to NUMERIC because the SQLite schema stores it as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c4e58bb807a33117/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c4e58bb807a33117/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_cee1911e05a9f402/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_cee1911e05a9f402/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..622a163ff0402a9a3580ed4783025196928ba78a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_cee1911e05a9f402/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": "2026-05-19T16:11:30.883937+00:00", + "ended_at": "2026-05-19T16:11:34.145742+00:00", + "elapsed_ms": 3261.78, + "returncode": 1, + "prompt_metrics": { + "chars": 11769, + "bytes_utf8": 11769, + "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_d/c14/artifacts/v2q_c14_cee1911e05a9f402/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_cee1911e05a9f402/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..35805172958cea7d524a6727fcd28ee04c5b3ac8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_cee1911e05a9f402/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": "2026-05-19T16:11:35.148054+00:00", + "ended_at": "2026-05-19T16:11:38.461889+00:00", + "elapsed_ms": 3313.8, + "returncode": 1, + "prompt_metrics": { + "chars": 11769, + "bytes_utf8": 11769, + "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_d/c14/artifacts/v2q_c14_cee1911e05a9f402/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_cee1911e05a9f402/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2bd55086bac5747bd1540b381c5e08e8561280a2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_cee1911e05a9f402/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=nom_4, measure_col=month.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "nom_4", + "measure_col": "month", + "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": 8.64, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_cee1911e05a9f402/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_cee1911e05a9f402/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..2bd55086bac5747bd1540b381c5e08e8561280a2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_cee1911e05a9f402/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=nom_4, measure_col=month.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "nom_4", + "measure_col": "month", + "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": 8.64, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_cee1911e05a9f402/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_cee1911e05a9f402/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..8abfa74fd393c3bb7ef2e661a5bb49491efedeba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_cee1911e05a9f402/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-b3c8-7852-9e36-2d3824712002"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_cee1911e05a9f402/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_cee1911e05a9f402/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ff77f70e08819b10d895799347b204b0db0ce138 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_cee1911e05a9f402/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-b3c8-7852-9e36-2d3824712002"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_cee1911e05a9f402/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_cee1911e05a9f402/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a335e2f0ea0c16d61284d7bae6ff291dea536749 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_cee1911e05a9f402/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-c459-7e33-9494-13678638b132"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_cee1911e05a9f402/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_cee1911e05a9f402/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..cb6d3866c0560a615a689c07dbca5aca3a238cbe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_cee1911e05a9f402/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-c459-7e33-9494-13678638b132"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_cee1911e05a9f402/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_cee1911e05a9f402/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_cee1911e05a9f402/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_cee1911e05a9f402/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d0e77bdd53834529/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d0e77bdd53834529/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..dca7c6c28baf2fcc866a41c774417eb8ad5c5a51 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d0e77bdd53834529/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": "2026-05-19T16:11:45.513492+00:00", + "ended_at": "2026-05-19T16:11:48.705520+00:00", + "elapsed_ms": 3192.0, + "returncode": 1, + "prompt_metrics": { + "chars": 11767, + "bytes_utf8": 11767, + "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_d/c14/artifacts/v2q_c14_d0e77bdd53834529/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d0e77bdd53834529/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b293bac7f0f6d7a8e2e9b5462923f43eceb6d80f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d0e77bdd53834529/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": "2026-05-19T16:11:49.707310+00:00", + "ended_at": "2026-05-19T16:11:52.578863+00:00", + "elapsed_ms": 2871.52, + "returncode": 1, + "prompt_metrics": { + "chars": 11767, + "bytes_utf8": 11767, + "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_d/c14/artifacts/v2q_c14_d0e77bdd53834529/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d0e77bdd53834529/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4034f739088d3fc99b848c73c5e6b979be5b04fc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d0e77bdd53834529/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "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=id.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "ord_0", + "measure_col": "id", + "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": 150351.84, + "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_d/c14/artifacts/v2q_c14_d0e77bdd53834529/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d0e77bdd53834529/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..4034f739088d3fc99b848c73c5e6b979be5b04fc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d0e77bdd53834529/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "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=id.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "ord_0", + "measure_col": "id", + "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": 150351.84, + "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_d/c14/artifacts/v2q_c14_d0e77bdd53834529/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d0e77bdd53834529/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b641f40d8c379fff19a947585aa98dab36800dbe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d0e77bdd53834529/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-ecda-7002-9682-9870711a144a"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d0e77bdd53834529/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d0e77bdd53834529/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..30331f904a4ddf128fafd23577d485a4c2b66c38 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d0e77bdd53834529/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-ecda-7002-9682-9870711a144a"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d0e77bdd53834529/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d0e77bdd53834529/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..796bf361ba6169f190ed87ff7fd94fe5c91c1d89 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d0e77bdd53834529/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-fd40-76c1-9ae6-07d8b2cbb336"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d0e77bdd53834529/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d0e77bdd53834529/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..cdf46fd22126031f2ec9f742e70ff7eb4a2165f5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d0e77bdd53834529/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-fd40-76c1-9ae6-07d8b2cbb336"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d0e77bdd53834529/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d0e77bdd53834529/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d0e77bdd53834529/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d0e77bdd53834529/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d27bfc97e850c391/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d27bfc97e850c391/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..41951d58093741e79ed3435ce2054e8756541288 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d27bfc97e850c391/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12086, "bytes_utf8": 12086, "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": 578, "bytes_utf8": 578, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16025, "cached_input_tokens": 12032, "output_tokens": 1203, "reasoning_output_tokens": 1016}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d27bfc97e850c391/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d27bfc97e850c391/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..6bc88a280876184e3840621d12267f583ddc143c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d27bfc97e850c391/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_d27bfc97e850c391", + "api_calls": 0, + "input_tokens": 16025, + "cached_input_tokens": 12032, + "output_tokens": 1203, + "total_tokens": 17228, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 22366.16, + "sql_execution_elapsed_ms_total": 321.17, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d27bfc97e850c391/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d27bfc97e850c391/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d27bfc97e850c391/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..22147aefb8721eb883503c6805d7ef6b59c35847 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d27bfc97e850c391/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": "2026-05-19T15:34:36.330667+00:00", + "ended_at": "2026-05-19T15:34:58.696854+00:00", + "elapsed_ms": 22366.16, + "prompt_metrics": { + "chars": 12086, + "bytes_utf8": 12086, + "lines": 398, + "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": 578, + "bytes_utf8": 578, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16025, + "cached_input_tokens": 12032, + "output_tokens": 1203, + "reasoning_output_tokens": 1016 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d27bfc97e850c391/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d27bfc97e850c391/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..bc44b7b5ec8d9cbb65f1e7bb7efe6526159edbb2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d27bfc97e850c391/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=nom_1, measure_col=id.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "nom_1", + "measure_col": "id", + "item_col": "nom_5", + "top_k": 19, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 150351.84, + "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_d/c14/artifacts/v2q_c14_d27bfc97e850c391/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d27bfc97e850c391/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..d57173cf2fab3003ece22879cea8fdbe346aee22 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d27bfc97e850c391/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40df-e944-7c23-a0a2-cc80ce631ed1"} +{"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(\\\"id\\\" AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(\\\"id\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"id\\\" AS REAL))) OVER (PARTITION BY \\\"nom_1\\\") AS \\\"share_within_group\\\"\\nFROM \\\"c14\\\"\\nGROUP BY \\\"nom_1\\\", \\\"nom_5\\\"\\nORDER BY \\\"share_within_group\\\" DESC\\nLIMIT 19;\",\"notes\":\"Instantiated the provided Within-Group Share of Total template with group_col=\\\"nom_1\\\", item_col=\\\"nom_5\\\", and measure_col=\\\"id\\\". CAST(\\\"id\\\" AS REAL) is used because the SQLite schema stores id as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16025,"cached_input_tokens":12032,"output_tokens":1203,"reasoning_output_tokens":1016}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d27bfc97e850c391/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d27bfc97e850c391/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..54b3c6706d7310663e9fdfbc445da566d7158a8b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d27bfc97e850c391/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(\"id\" AS REAL)) AS \"total_measure\",\n SUM(CAST(\"id\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"id\" AS REAL))) OVER (PARTITION BY \"nom_1\") AS \"share_within_group\"\nFROM \"c14\"\nGROUP BY \"nom_1\", \"nom_5\"\nORDER BY \"share_within_group\" DESC\nLIMIT 19;","notes":"Instantiated the provided Within-Group Share of Total template with group_col=\"nom_1\", item_col=\"nom_5\", and measure_col=\"id\". CAST(\"id\" AS REAL) is used because the SQLite schema stores id as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d27bfc97e850c391/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d27bfc97e850c391/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d4332cd09b35cefb/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d4332cd09b35cefb/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..91c3a43730a63aa0d94785b890b8fc3feb991966 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d4332cd09b35cefb/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11624, "bytes_utf8": 11624, "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": 380, "bytes_utf8": 380, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15893, "cached_input_tokens": 12032, "output_tokens": 628, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d4332cd09b35cefb/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d4332cd09b35cefb/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..1dce7a84729e110dbec9e1fa557489ddb2d9d8c2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d4332cd09b35cefb/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_d4332cd09b35cefb", + "api_calls": 0, + "input_tokens": 15893, + "cached_input_tokens": 12032, + "output_tokens": 628, + "total_tokens": 16521, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14668.84, + "sql_execution_elapsed_ms_total": 44.23, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d4332cd09b35cefb/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d4332cd09b35cefb/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d4332cd09b35cefb/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e3035a94be1c22e70ced246a55dbe32f6cd59312 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d4332cd09b35cefb/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:08:25.095675+00:00", + "ended_at": "2026-05-19T16:08:39.764544+00:00", + "elapsed_ms": 14668.84, + "prompt_metrics": { + "chars": 11624, + "bytes_utf8": 11624, + "lines": 394, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 728, + "bytes_utf8": 728, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 380, + "bytes_utf8": 380, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15893, + "cached_input_tokens": 12032, + "output_tokens": 628, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d4332cd09b35cefb/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d4332cd09b35cefb/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..69f80415363e7d23c373fa8152fde5d7910e5ec1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d4332cd09b35cefb/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "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": 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": 172611.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d4332cd09b35cefb/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d4332cd09b35cefb/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c7daabadb35a26e8d153b9d3580afbe41776eb27 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d4332cd09b35cefb/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-ddff-7782-b8e5-e4646c8cb9d9"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN CAST(\\\"id\\\" AS REAL) <= 172611.0 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"c14\\\";\",\"notes\":\"Instantiated the Threshold Rarity CDF template on measure_col=\\\"id\\\" with threshold 172611.0. CAST(\\\"id\\\" AS REAL) is used because the schema stores id as TEXT, and numeric comparison is intended.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15893,"cached_input_tokens":12032,"output_tokens":628,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d4332cd09b35cefb/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d4332cd09b35cefb/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..fd72082953cc749facd6b782d799f5f7c391a5a5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d4332cd09b35cefb/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_threshold_rarity_cdf\nSELECT AVG(CASE WHEN CAST(\"id\" AS REAL) <= 172611.0 THEN 1 ELSE 0 END) AS \"empirical_cdf_at_threshold\"\nFROM \"c14\";","notes":"Instantiated the Threshold Rarity CDF template on measure_col=\"id\" with threshold 172611.0. CAST(\"id\" AS REAL) is used because the schema stores id as TEXT, and numeric comparison is intended."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d4332cd09b35cefb/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d4332cd09b35cefb/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d6ff2dd603b303c1/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d6ff2dd603b303c1/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..14e1b8c25acd24e2fd65d3f8c7367d5ec9ced6d1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d6ff2dd603b303c1/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11681, "bytes_utf8": 11681, "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": 331, "bytes_utf8": 331, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15910, "cached_input_tokens": 12032, "output_tokens": 354, "reasoning_output_tokens": 254}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d6ff2dd603b303c1/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d6ff2dd603b303c1/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..ac6dd4cee66112c2de15036f625a7b670eb42320 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d6ff2dd603b303c1/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_d6ff2dd603b303c1", + "api_calls": 0, + "input_tokens": 15910, + "cached_input_tokens": 12032, + "output_tokens": 354, + "total_tokens": 16264, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9214.26, + "sql_execution_elapsed_ms_total": 128.01, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d6ff2dd603b303c1/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d6ff2dd603b303c1/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d6ff2dd603b303c1/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..74dad66a5d6ee9e3dd76522bb94bbe96d9d9afca --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d6ff2dd603b303c1/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": "2026-05-19T15:28:41.082747+00:00", + "ended_at": "2026-05-19T15:28:50.297043+00:00", + "elapsed_ms": 9214.26, + "prompt_metrics": { + "chars": 11681, + "bytes_utf8": 11681, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 685, + "bytes_utf8": 685, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 331, + "bytes_utf8": 331, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15910, + "cached_input_tokens": 12032, + "output_tokens": 354, + "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_d/c14/artifacts/v2q_c14_d6ff2dd603b303c1/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d6ff2dd603b303c1/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8733b168e3507bf1b949fc234ff122fbf8a606d6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d6ff2dd603b303c1/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=bin_1, measure_col=ord_0.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "bin_1", + "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": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d6ff2dd603b303c1/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d6ff2dd603b303c1/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..4284e52f57d1c37db3cd6232f49a4ae7fb069c18 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d6ff2dd603b303c1/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40da-7d8e-7f81-bb1a-e4b9f4187884"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"bin_1\\\", SUM(CAST(\\\"ord_0\\\" AS INTEGER)) AS total_measure\\nFROM \\\"c14\\\"\\nGROUP BY \\\"bin_1\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the planned grouped-sum template with \\\"bin_1\\\" as the grouping column and cast \\\"ord_0\\\" to INTEGER because it is stored as TEXT in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15910,"cached_input_tokens":12032,"output_tokens":354,"reasoning_output_tokens":254}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d6ff2dd603b303c1/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d6ff2dd603b303c1/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..179968740d2be519ca4959effe428ace8b431012 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d6ff2dd603b303c1/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"bin_1\", SUM(CAST(\"ord_0\" AS INTEGER)) AS total_measure\nFROM \"c14\"\nGROUP BY \"bin_1\"\nORDER BY total_measure DESC;","notes":"Used the planned grouped-sum template with \"bin_1\" as the grouping column and cast \"ord_0\" to INTEGER because it is stored as TEXT in SQLite."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d6ff2dd603b303c1/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d6ff2dd603b303c1/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d7624c8419be1b6f/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d7624c8419be1b6f/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e9d3ec9b10af1b9ad957f8ac79ac465068d251ae --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d7624c8419be1b6f/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12085, "bytes_utf8": 12085, "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": 519, "bytes_utf8": 519, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16022, "cached_input_tokens": 14720, "output_tokens": 566, "reasoning_output_tokens": 410}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d7624c8419be1b6f/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d7624c8419be1b6f/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..829eda274731d1a24809478568c1c86f5fb08eb8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d7624c8419be1b6f/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_d7624c8419be1b6f", + "api_calls": 0, + "input_tokens": 16022, + "cached_input_tokens": 14720, + "output_tokens": 566, + "total_tokens": 16588, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14545.72, + "sql_execution_elapsed_ms_total": 351.68, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d7624c8419be1b6f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d7624c8419be1b6f/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d7624c8419be1b6f/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..86ff8700f492285fbafcc87263471a4d31a668f2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d7624c8419be1b6f/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": "2026-05-19T15:39:43.150862+00:00", + "ended_at": "2026-05-19T15:39:57.696614+00:00", + "elapsed_ms": 14545.72, + "prompt_metrics": { + "chars": 12085, + "bytes_utf8": 12085, + "lines": 398, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 903, + "bytes_utf8": 903, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 519, + "bytes_utf8": 519, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16022, + "cached_input_tokens": 14720, + "output_tokens": 566, + "reasoning_output_tokens": 410 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d7624c8419be1b6f/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d7624c8419be1b6f/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..cf00cc3ea5639cd52db909bb01da5d5e87b03525 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d7624c8419be1b6f/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=month, measure_col=day.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "month", + "measure_col": "day", + "item_col": "nom_7", + "top_k": 14, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 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 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d7624c8419be1b6f/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d7624c8419be1b6f/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..1e93d7d94dacb2e284bea6d7d5c678ac63ee9321 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d7624c8419be1b6f/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e4-97a0-7d23-b30f-986b8e324010"} +{"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(\\\"day\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"day\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"day\\\" AS REAL))) OVER (PARTITION BY \\\"month\\\") AS share_within_group\\nFROM \\\"c14\\\"\\nGROUP BY \\\"month\\\", \\\"nom_7\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Uses the required template with group_col=\\\"month\\\", item_col=\\\"nom_7\\\", and measure_col=\\\"day\\\". CAST is applied because \\\"day\\\" is stored as TEXT in the schema.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16022,"cached_input_tokens":14720,"output_tokens":566,"reasoning_output_tokens":410}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d7624c8419be1b6f/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d7624c8419be1b6f/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c0eedeaed3b1b78ee9c491bd9a0a558a7351fe02 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d7624c8419be1b6f/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"month\", \"nom_7\",\n SUM(CAST(\"day\" AS REAL)) AS total_measure,\n SUM(CAST(\"day\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"day\" AS REAL))) OVER (PARTITION BY \"month\") AS share_within_group\nFROM \"c14\"\nGROUP BY \"month\", \"nom_7\"\nORDER BY share_within_group DESC;","notes":"Uses the required template with group_col=\"month\", item_col=\"nom_7\", and measure_col=\"day\". CAST is applied because \"day\" is stored as TEXT in the schema."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d7624c8419be1b6f/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d7624c8419be1b6f/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_dd0e6768e6401821/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_dd0e6768e6401821/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..dcbf4d320fee35a9608a925393d4c7fae51a4c06 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_dd0e6768e6401821/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11864, "bytes_utf8": 11864, "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": 1759, "bytes_utf8": 1759, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15948, "cached_input_tokens": 14720, "output_tokens": 2838, "reasoning_output_tokens": 2198}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_dd0e6768e6401821/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_dd0e6768e6401821/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a6f4e2c58f163bd7d44746ae70f0843227a797ac --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_dd0e6768e6401821/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_dd0e6768e6401821", + "api_calls": 0, + "input_tokens": 15948, + "cached_input_tokens": 14720, + "output_tokens": 2838, + "total_tokens": 18786, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 44337.8, + "sql_execution_elapsed_ms_total": 1393.67, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_dd0e6768e6401821/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_dd0e6768e6401821/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_dd0e6768e6401821/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..23944de3ef66e9bde985dea26b5f863603409d58 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_dd0e6768e6401821/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:54:32.318483+00:00", + "ended_at": "2026-05-19T15:55:16.656317+00:00", + "elapsed_ms": 44337.8, + "prompt_metrics": { + "chars": 11864, + "bytes_utf8": 11864, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2381, + "bytes_utf8": 2381, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 1759, + "bytes_utf8": 1759, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15948, + "cached_input_tokens": 14720, + "output_tokens": 2838, + "reasoning_output_tokens": 2198 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_dd0e6768e6401821/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_dd0e6768e6401821/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..10e92c4b75d2bd73bc420221b2034d7e9316c3fd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_dd0e6768e6401821/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=ord_3, measure_col=ord_0.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "ord_3", + "measure_col": "ord_0", + "top_k": 15, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2.32, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_dd0e6768e6401821/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_dd0e6768e6401821/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5ee7846d086e8581063a6edbd22cfdb5f14bb6ee --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_dd0e6768e6401821/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f2-2912-7322-8c40-f142e2fa2d66"} +{"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_3\\\",\\n CAST(\\\"ord_0\\\" AS REAL) AS \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"ord_3\\\"\\n ORDER BY CAST(\\\"ord_0\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"ord_3\\\") AS \\\"cnt\\\"\\n FROM \\\"c14\\\"\\n WHERE \\\"ord_0\\\" IS NOT NULL\\n),\\n\\\"positions\\\" AS (\\n SELECT DISTINCT\\n \\\"ord_3\\\",\\n \\\"cnt\\\",\\n (1.0 + 0.95 * (\\\"cnt\\\" - 1)) AS \\\"pos\\\",\\n CAST(1.0 + 0.95 * (\\\"cnt\\\" - 1) AS INTEGER) AS \\\"lower_rn\\\",\\n CASE\\n WHEN (1.0 + 0.95 * (\\\"cnt\\\" - 1)) > CAST(1.0 + 0.95 * (\\\"cnt\\\" - 1) AS INTEGER)\\n THEN CAST(1.0 + 0.95 * (\\\"cnt\\\" - 1) AS INTEGER) + 1\\n ELSE CAST(1.0 + 0.95 * (\\\"cnt\\\" - 1) AS INTEGER)\\n END AS \\\"upper_rn\\\"\\n FROM \\\"ranked\\\"\\n),\\n\\\"bounds\\\" AS (\\n SELECT\\n p.\\\"ord_3\\\",\\n p.\\\"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_value\\\",\\n MAX(CASE WHEN r.\\\"rn\\\" = p.\\\"upper_rn\\\" THEN r.\\\"measure_value\\\" END) AS \\\"upper_value\\\"\\n FROM \\\"positions\\\" AS p\\n JOIN \\\"ranked\\\" AS r\\n ON (r.\\\"ord_3\\\" = p.\\\"ord_3\\\" OR (r.\\\"ord_3\\\" IS NULL AND p.\\\"ord_3\\\" IS NULL))\\n GROUP BY p.\\\"ord_3\\\", p.\\\"pos\\\", p.\\\"lower_rn\\\", p.\\\"upper_rn\\\"\\n)\\nSELECT\\n \\\"ord_3\\\",\\n CASE\\n WHEN \\\"lower_rn\\\" = \\\"upper_rn\\\" THEN \\\"lower_value\\\"\\n ELSE \\\"lower_value\\\" + (\\\"pos\\\" - \\\"lower_rn\\\") * (\\\"upper_value\\\" - \\\"lower_value\\\")\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"bounds\\\"\\nORDER BY \\\"percentile_measure\\\" DESC, \\\"ord_3\\\";\",\"notes\":\"SQLite-compatible emulation of PERCENTILE_CONT(0.95) by group on \\\"ord_3\\\", using linear interpolation over ordered \\\"ord_0\\\" values cast from TEXT to REAL.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15948,"cached_input_tokens":14720,"output_tokens":2838,"reasoning_output_tokens":2198}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_dd0e6768e6401821/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_dd0e6768e6401821/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5f7a5c6e5155e59857e08f10db2bf137c9259f2f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_dd0e6768e6401821/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n \"ord_3\",\n CAST(\"ord_0\" AS REAL) AS \"measure_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"ord_3\"\n ORDER BY CAST(\"ord_0\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (PARTITION BY \"ord_3\") AS \"cnt\"\n FROM \"c14\"\n WHERE \"ord_0\" IS NOT NULL\n),\n\"positions\" AS (\n SELECT DISTINCT\n \"ord_3\",\n \"cnt\",\n (1.0 + 0.95 * (\"cnt\" - 1)) AS \"pos\",\n CAST(1.0 + 0.95 * (\"cnt\" - 1) AS INTEGER) AS \"lower_rn\",\n CASE\n WHEN (1.0 + 0.95 * (\"cnt\" - 1)) > CAST(1.0 + 0.95 * (\"cnt\" - 1) AS INTEGER)\n THEN CAST(1.0 + 0.95 * (\"cnt\" - 1) AS INTEGER) + 1\n ELSE CAST(1.0 + 0.95 * (\"cnt\" - 1) AS INTEGER)\n END AS \"upper_rn\"\n FROM \"ranked\"\n),\n\"bounds\" AS (\n SELECT\n p.\"ord_3\",\n p.\"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_value\",\n MAX(CASE WHEN r.\"rn\" = p.\"upper_rn\" THEN r.\"measure_value\" END) AS \"upper_value\"\n FROM \"positions\" AS p\n JOIN \"ranked\" AS r\n ON (r.\"ord_3\" = p.\"ord_3\" OR (r.\"ord_3\" IS NULL AND p.\"ord_3\" IS NULL))\n GROUP BY p.\"ord_3\", p.\"pos\", p.\"lower_rn\", p.\"upper_rn\"\n)\nSELECT\n \"ord_3\",\n CASE\n WHEN \"lower_rn\" = \"upper_rn\" THEN \"lower_value\"\n ELSE \"lower_value\" + (\"pos\" - \"lower_rn\") * (\"upper_value\" - \"lower_value\")\n END AS \"percentile_measure\"\nFROM \"bounds\"\nORDER BY \"percentile_measure\" DESC, \"ord_3\";","notes":"SQLite-compatible emulation of PERCENTILE_CONT(0.95) by group on \"ord_3\", using linear interpolation over ordered \"ord_0\" values cast from TEXT to REAL."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_dd0e6768e6401821/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_dd0e6768e6401821/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e2936a1bfa886229/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e2936a1bfa886229/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..bee4c6b49bb9ee21c56b31b83075b3b659393564 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e2936a1bfa886229/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": "2026-05-19T16:11:23.383115+00:00", + "ended_at": "2026-05-19T16:11:26.843608+00:00", + "elapsed_ms": 3460.47, + "returncode": 1, + "prompt_metrics": { + "chars": 11763, + "bytes_utf8": 11763, + "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_d/c14/artifacts/v2q_c14_e2936a1bfa886229/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e2936a1bfa886229/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e9603f0bee6cc29e5fca0cf94e0abec8ff726905 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e2936a1bfa886229/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": "2026-05-19T16:11:27.845601+00:00", + "ended_at": "2026-05-19T16:11:30.865348+00:00", + "elapsed_ms": 3019.4, + "returncode": 1, + "prompt_metrics": { + "chars": 11763, + "bytes_utf8": 11763, + "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_d/c14/artifacts/v2q_c14_e2936a1bfa886229/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e2936a1bfa886229/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d1f31a3fd9047e54b49020f5a4977385a3b86f71 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e2936a1bfa886229/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=nom_4, measure_col=month.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "nom_4", + "measure_col": "month", + "top_k": 10, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 9.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e2936a1bfa886229/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e2936a1bfa886229/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..d1f31a3fd9047e54b49020f5a4977385a3b86f71 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e2936a1bfa886229/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=nom_4, measure_col=month.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "nom_4", + "measure_col": "month", + "top_k": 10, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 9.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e2936a1bfa886229/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e2936a1bfa886229/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..2e75170d7d4cacbe4d92886ed75f7aa8b24aa94b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e2936a1bfa886229/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-9677-75e3-8970-29c0b1a7d55e"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e2936a1bfa886229/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e2936a1bfa886229/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..324758fe3f5474a8924f0fdfe18245c4e4af3eea --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e2936a1bfa886229/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-9677-75e3-8970-29c0b1a7d55e"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e2936a1bfa886229/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e2936a1bfa886229/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5b932d5d9fe425c2bc74d12be7289d2ebf325903 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e2936a1bfa886229/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-a802-7cb3-bac8-e6111791a820"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e2936a1bfa886229/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e2936a1bfa886229/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..4d885e49ca4c7d320fecfa1f164344899691561c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e2936a1bfa886229/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-a802-7cb3-bac8-e6111791a820"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e2936a1bfa886229/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e2936a1bfa886229/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e2936a1bfa886229/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e2936a1bfa886229/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e505a4f54dc30323/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e505a4f54dc30323/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d1fc7ddc699eca6df5f29b4ec39b1ffa662876be --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e505a4f54dc30323/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11685, "bytes_utf8": 11685, "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": 357, "bytes_utf8": 357, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15906, "cached_input_tokens": 12032, "output_tokens": 430, "reasoning_output_tokens": 327}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e505a4f54dc30323/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e505a4f54dc30323/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..99f1e879e0caa1261508e84d583161657d66d7fa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e505a4f54dc30323/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_e505a4f54dc30323", + "api_calls": 0, + "input_tokens": 15906, + "cached_input_tokens": 12032, + "output_tokens": 430, + "total_tokens": 16336, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10060.51, + "sql_execution_elapsed_ms_total": 148.76, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e505a4f54dc30323/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e505a4f54dc30323/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e505a4f54dc30323/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..80184fe6e6d96d18ec176ce75ac80ec4e2d6eee9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e505a4f54dc30323/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": "2026-05-19T15:29:28.449617+00:00", + "ended_at": "2026-05-19T15:29:38.510152+00:00", + "elapsed_ms": 10060.51, + "prompt_metrics": { + "chars": 11685, + "bytes_utf8": 11685, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 715, + "bytes_utf8": 715, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 357, + "bytes_utf8": 357, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15906, + "cached_input_tokens": 12032, + "output_tokens": 430, + "reasoning_output_tokens": 327 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e505a4f54dc30323/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e505a4f54dc30323/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..95d9062bc3c29e43a383e01b6c7bb61168e48141 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e505a4f54dc30323/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "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=month.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "bin_3", + "measure_col": "month", + "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": 8.64, + "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_d/c14/artifacts/v2q_c14_e505a4f54dc30323/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e505a4f54dc30323/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..005c387de24c5a11ab204261714599ae9270012c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e505a4f54dc30323/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40db-3698-76b0-be59-e8594ea7e085"} +{"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(\\\"month\\\" AS NUMERIC)) AS total_measure\\nFROM \\\"c14\\\"\\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=\\\"month\\\". CAST is applied because \\\"month\\\" is stored as TEXT in the SQLite schema.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15906,"cached_input_tokens":12032,"output_tokens":430,"reasoning_output_tokens":327}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e505a4f54dc30323/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e505a4f54dc30323/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..951da86ba00eb1acd21606b9f1b9328afee04dd1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e505a4f54dc30323/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"bin_3\", SUM(CAST(\"month\" AS NUMERIC)) AS total_measure\nFROM \"c14\"\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=\"month\". CAST is applied because \"month\" is stored as TEXT in the SQLite schema."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e505a4f54dc30323/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e505a4f54dc30323/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e7566d16e1bae554/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e7566d16e1bae554/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..add9cbc5f55e620c04c48605d1a3a70d47bded53 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e7566d16e1bae554/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11861, "bytes_utf8": 11861, "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": 1766, "bytes_utf8": 1766, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15944, "cached_input_tokens": 14720, "output_tokens": 2644, "reasoning_output_tokens": 2020}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e7566d16e1bae554/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e7566d16e1bae554/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..3a62a9b57f7e84c41f95041f10b4269236502fb3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e7566d16e1bae554/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_e7566d16e1bae554", + "api_calls": 0, + "input_tokens": 15944, + "cached_input_tokens": 14720, + "output_tokens": 2644, + "total_tokens": 18588, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 39875.18, + "sql_execution_elapsed_ms_total": 1189.13, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e7566d16e1bae554/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e7566d16e1bae554/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e7566d16e1bae554/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f5f9951edcc0673fee00f3e17af7bf5084aae9c0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e7566d16e1bae554/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:58:47.811692+00:00", + "ended_at": "2026-05-19T15:59:27.686909+00:00", + "elapsed_ms": 39875.18, + "prompt_metrics": { + "chars": 11861, + "bytes_utf8": 11861, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2441, + "bytes_utf8": 2441, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 1766, + "bytes_utf8": 1766, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15944, + "cached_input_tokens": 14720, + "output_tokens": 2644, + "reasoning_output_tokens": 2020 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e7566d16e1bae554/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e7566d16e1bae554/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..807d32d41cca0319843467f3ce4a81986ca59d6f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e7566d16e1bae554/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=target, measure_col=ord_0.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "target", + "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 {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e7566d16e1bae554/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e7566d16e1bae554/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..87537aad4d8c26ff2fd809576877e2bd993277dc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e7566d16e1bae554/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f6-0f23-7132-91da-af2fee640ac9"} +{"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(\\\"ord_0\\\" AS REAL) AS \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"target\\\"\\n ORDER BY CAST(\\\"ord_0\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"target\\\") AS \\\"cnt\\\"\\n FROM \\\"c14\\\"\\n WHERE \\\"ord_0\\\" IS NOT NULL\\n),\\n\\\"params\\\" AS (\\n SELECT DISTINCT\\n \\\"target\\\",\\n (1.0 + 0.9 * (\\\"cnt\\\" - 1)) AS \\\"rank_pos\\\",\\n CAST((1.0 + 0.9 * (\\\"cnt\\\" - 1)) AS INTEGER) AS \\\"floor_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 \\\"ceil_rn\\\"\\n FROM \\\"ordered\\\"\\n)\\nSELECT\\n \\\"p\\\".\\\"target\\\" AS \\\"target\\\",\\n CASE\\n WHEN \\\"p\\\".\\\"floor_rn\\\" = \\\"p\\\".\\\"ceil_rn\\\" THEN\\n MAX(CASE WHEN \\\"o\\\".\\\"rn\\\" = \\\"p\\\".\\\"floor_rn\\\" THEN \\\"o\\\".\\\"measure_value\\\" END)\\n ELSE\\n ((\\\"p\\\".\\\"ceil_rn\\\" - \\\"p\\\".\\\"rank_pos\\\") * MAX(CASE WHEN \\\"o\\\".\\\"rn\\\" = \\\"p\\\".\\\"floor_rn\\\" THEN \\\"o\\\".\\\"measure_value\\\" END))\\n +\\n ((\\\"p\\\".\\\"rank_pos\\\" - \\\"p\\\".\\\"floor_rn\\\") * MAX(CASE WHEN \\\"o\\\".\\\"rn\\\" = \\\"p\\\".\\\"ceil_rn\\\" THEN \\\"o\\\".\\\"measure_value\\\" END))\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"params\\\" AS \\\"p\\\"\\nJOIN \\\"ordered\\\" AS \\\"o\\\"\\n ON \\\"o\\\".\\\"target\\\" IS \\\"p\\\".\\\"target\\\"\\nGROUP BY\\n \\\"p\\\".\\\"target\\\",\\n \\\"p\\\".\\\"rank_pos\\\",\\n \\\"p\\\".\\\"floor_rn\\\",\\n \\\"p\\\".\\\"ceil_rn\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this query emulates the continuous 90th percentile for each \\\"target\\\" group using window functions and linear interpolation over CAST(\\\"ord_0\\\" AS REAL).\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15944,"cached_input_tokens":14720,"output_tokens":2644,"reasoning_output_tokens":2020}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e7566d16e1bae554/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e7566d16e1bae554/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..02361be53f4ede0c3e368e6d46f06a380afc538a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e7566d16e1bae554/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ordered\" AS (\n SELECT\n \"target\",\n CAST(\"ord_0\" AS REAL) AS \"measure_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"target\"\n ORDER BY CAST(\"ord_0\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (PARTITION BY \"target\") AS \"cnt\"\n FROM \"c14\"\n WHERE \"ord_0\" IS NOT NULL\n),\n\"params\" AS (\n SELECT DISTINCT\n \"target\",\n (1.0 + 0.9 * (\"cnt\" - 1)) AS \"rank_pos\",\n CAST((1.0 + 0.9 * (\"cnt\" - 1)) AS INTEGER) AS \"floor_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 \"ceil_rn\"\n FROM \"ordered\"\n)\nSELECT\n \"p\".\"target\" AS \"target\",\n CASE\n WHEN \"p\".\"floor_rn\" = \"p\".\"ceil_rn\" THEN\n MAX(CASE WHEN \"o\".\"rn\" = \"p\".\"floor_rn\" THEN \"o\".\"measure_value\" END)\n ELSE\n ((\"p\".\"ceil_rn\" - \"p\".\"rank_pos\") * MAX(CASE WHEN \"o\".\"rn\" = \"p\".\"floor_rn\" THEN \"o\".\"measure_value\" END))\n +\n ((\"p\".\"rank_pos\" - \"p\".\"floor_rn\") * MAX(CASE WHEN \"o\".\"rn\" = \"p\".\"ceil_rn\" THEN \"o\".\"measure_value\" END))\n END AS \"percentile_measure\"\nFROM \"params\" AS \"p\"\nJOIN \"ordered\" AS \"o\"\n ON \"o\".\"target\" IS \"p\".\"target\"\nGROUP BY\n \"p\".\"target\",\n \"p\".\"rank_pos\",\n \"p\".\"floor_rn\",\n \"p\".\"ceil_rn\"\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite does not support PERCENTILE_CONT, so this query emulates the continuous 90th percentile for each \"target\" group using window functions and linear interpolation over CAST(\"ord_0\" AS REAL)."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e7566d16e1bae554/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e7566d16e1bae554/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e7c5793d4021a52d/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e7c5793d4021a52d/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..af7af1e7465422c9b5c6b9fc27146ed56bcc8149 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e7c5793d4021a52d/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11946, "bytes_utf8": 11946, "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": 372, "bytes_utf8": 372, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15973, "cached_input_tokens": 14720, "output_tokens": 292, "reasoning_output_tokens": 184}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e7c5793d4021a52d/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e7c5793d4021a52d/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..aa50ab3724ab5864b3a9ba4b6d0b9a06485e7111 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e7c5793d4021a52d/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_e7c5793d4021a52d", + "api_calls": 0, + "input_tokens": 15973, + "cached_input_tokens": 14720, + "output_tokens": 292, + "total_tokens": 16265, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8380.58, + "sql_execution_elapsed_ms_total": 154.84, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e7c5793d4021a52d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e7c5793d4021a52d/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e7c5793d4021a52d/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..0558800cab1b28d8e8077e6023fc67739116c196 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e7c5793d4021a52d/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:05:15.195252+00:00", + "ended_at": "2026-05-19T16:05:23.575863+00:00", + "elapsed_ms": 8380.58, + "prompt_metrics": { + "chars": 11946, + "bytes_utf8": 11946, + "lines": 399, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 723, + "bytes_utf8": 723, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 372, + "bytes_utf8": 372, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15973, + "cached_input_tokens": 14720, + "output_tokens": 292, + "reasoning_output_tokens": 184 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e7c5793d4021a52d/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e7c5793d4021a52d/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..77ae356a3ce4eb27a9dbeae805b79084041ab4e0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e7c5793d4021a52d/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=nom_3, condition_col=nom_3.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "nom_3", + "condition_col": "nom_3", + "condition_value": "China", + "positive_value": "China", + "negative_value": "Finland", + "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": 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 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e7c5793d4021a52d/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e7c5793d4021a52d/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..95f205c57658c8e31ce8bf09c508fa2c4a505728 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e7c5793d4021a52d/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-f856-74d1-b014-54ff5cfea592"} +{"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\\\" = 'China' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"c14\\\"\\nGROUP BY \\\"nom_3\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Applied the provided Grouped Condition Rate template with group_col and condition_col both bound to \\\"nom_3\\\" and condition_value set to 'China'.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15973,"cached_input_tokens":14720,"output_tokens":292,"reasoning_output_tokens":184}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e7c5793d4021a52d/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e7c5793d4021a52d/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7cd2f760b522c20a852767d0ac429e3088daf962 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e7c5793d4021a52d/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"nom_3\",\n AVG(CASE WHEN \"nom_3\" = 'China' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"c14\"\nGROUP BY \"nom_3\"\nORDER BY condition_rate DESC;","notes":"Applied the provided Grouped Condition Rate template with group_col and condition_col both bound to \"nom_3\" and condition_value set to 'China'."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e7c5793d4021a52d/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e7c5793d4021a52d/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ec4bcd132db8acc4/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ec4bcd132db8acc4/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c2cd6496abb561ae2170a73e47d6d2b9724238d4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ec4bcd132db8acc4/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11959, "bytes_utf8": 11959, "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": 11959, "bytes_utf8": 11959, "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": 492, "bytes_utf8": 492, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15979, "cached_input_tokens": 12032, "output_tokens": 322, "reasoning_output_tokens": 181}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ec4bcd132db8acc4/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ec4bcd132db8acc4/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..178c4f5115ecfcd969f8d2431e07b4c22cfba799 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ec4bcd132db8acc4/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_ec4bcd132db8acc4", + "api_calls": 0, + "input_tokens": 15979, + "cached_input_tokens": 12032, + "output_tokens": 322, + "total_tokens": 16301, + "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": 11633.74, + "sql_execution_elapsed_ms_total": 172.8, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ec4bcd132db8acc4/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ec4bcd132db8acc4/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ec4bcd132db8acc4/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4338b727fddd0ad66b5d36b869e3f88545a28fa1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ec4bcd132db8acc4/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": "2026-05-19T16:04:23.865613+00:00", + "ended_at": "2026-05-19T16:04:26.917568+00:00", + "elapsed_ms": 3051.93, + "returncode": 1, + "prompt_metrics": { + "chars": 11959, + "bytes_utf8": 11959, + "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_d/c14/artifacts/v2q_c14_ec4bcd132db8acc4/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ec4bcd132db8acc4/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a98e3c54bea227d624283dff2f205bb5942b1232 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ec4bcd132db8acc4/cli/sql_attempt_2.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:04:27.919918+00:00", + "ended_at": "2026-05-19T16:04:36.501775+00:00", + "elapsed_ms": 8581.81, + "prompt_metrics": { + "chars": 11959, + "bytes_utf8": 11959, + "lines": 399, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 847, + "bytes_utf8": 847, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 492, + "bytes_utf8": 492, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15979, + "cached_input_tokens": 12032, + "output_tokens": 322, + "reasoning_output_tokens": 181 + } + }, + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ec4bcd132db8acc4/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ec4bcd132db8acc4/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e1d7b20ebc357465513efa38df90513292704b8c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ec4bcd132db8acc4/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "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": "Trapezoid", + "positive_value": "Trapezoid", + "negative_value": "Polygon", + "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": 172611.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ec4bcd132db8acc4/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ec4bcd132db8acc4/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e1d7b20ebc357465513efa38df90513292704b8c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ec4bcd132db8acc4/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "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": "Trapezoid", + "positive_value": "Trapezoid", + "negative_value": "Polygon", + "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": 172611.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ec4bcd132db8acc4/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ec4bcd132db8acc4/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..32047a88d5ca4dac33eca7bfa094d5664a68bfaf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ec4bcd132db8acc4/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-2fe4-70f2-8280-f177a14f2604"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ec4bcd132db8acc4/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ec4bcd132db8acc4/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..798200439f145ef265c04cdde42de0cbe3267dd6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ec4bcd132db8acc4/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-2fe4-70f2-8280-f177a14f2604"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ec4bcd132db8acc4/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ec4bcd132db8acc4/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b2e99797e2691e869adfea60a88bff52e0da739e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ec4bcd132db8acc4/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-3f96-7cc0-860f-c379a42dfb13"} +{"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\\\" = 'Trapezoid' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"c14\\\"\\nGROUP BY \\\"nom_1\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Used the provided template exactly with group_col=\\\"nom_1\\\" and condition_col=\\\"nom_1\\\" bound to condition_value='Trapezoid'. Grouping and conditioning on the same column measures the within-group proportion of rows equal to 'Trapezoid' for each nom_1 category.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15979,"cached_input_tokens":12032,"output_tokens":322,"reasoning_output_tokens":181}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ec4bcd132db8acc4/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ec4bcd132db8acc4/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..cd0ee6d59aa96e4e1c2cabe96b79479ab19f1807 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ec4bcd132db8acc4/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"nom_1\",\n AVG(CASE WHEN \"nom_1\" = 'Trapezoid' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"c14\"\nGROUP BY \"nom_1\"\nORDER BY condition_rate DESC;","notes":"Used the provided template exactly with group_col=\"nom_1\" and condition_col=\"nom_1\" bound to condition_value='Trapezoid'. Grouping and conditioning on the same column measures the within-group proportion of rows equal to 'Trapezoid' for each nom_1 category."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ec4bcd132db8acc4/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ec4bcd132db8acc4/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ec4bcd132db8acc4/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ec4bcd132db8acc4/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f41c25d5cea06dc8/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f41c25d5cea06dc8/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..88749a5fe82d4a3ff24d5aa968897a4a8654205f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f41c25d5cea06dc8/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11603, "bytes_utf8": 11603, "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": 268, "bytes_utf8": 268, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15882, "cached_input_tokens": 12032, "output_tokens": 212, "reasoning_output_tokens": 137}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f41c25d5cea06dc8/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f41c25d5cea06dc8/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..2f233b77dd91ec706f873382887c37470cd3c4c9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f41c25d5cea06dc8/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_f41c25d5cea06dc8", + "api_calls": 0, + "input_tokens": 15882, + "cached_input_tokens": 12032, + "output_tokens": 212, + "total_tokens": 16094, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14073.66, + "sql_execution_elapsed_ms_total": 143.35, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f41c25d5cea06dc8/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f41c25d5cea06dc8/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f41c25d5cea06dc8/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e7a1e071dfd1741f321b92d9424936286b85e107 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f41c25d5cea06dc8/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": "2026-05-19T15:31:49.356521+00:00", + "ended_at": "2026-05-19T15:32:03.430218+00:00", + "elapsed_ms": 14073.66, + "prompt_metrics": { + "chars": 11603, + "bytes_utf8": 11603, + "lines": 394, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 614, + "bytes_utf8": 614, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 268, + "bytes_utf8": 268, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15882, + "cached_input_tokens": 12032, + "output_tokens": 212, + "reasoning_output_tokens": 137 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f41c25d5cea06dc8/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f41c25d5cea06dc8/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1569ad9729052303d31bb25a49aa57c51ea0ef04 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f41c25d5cea06dc8/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "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": 172611.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f41c25d5cea06dc8/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f41c25d5cea06dc8/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..3da50bfb74e8d894f25b074783264a7899672279 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f41c25d5cea06dc8/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40dd-5cef-7dc0-8750-e81d6a2762b8"} +{"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 \\\"c14\\\"\\nGROUP BY \\\"ord_2\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Grouped count by category on \\\"ord_2\\\" using the planned template to inspect subgroup size distribution.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15882,"cached_input_tokens":12032,"output_tokens":212,"reasoning_output_tokens":137}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f41c25d5cea06dc8/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f41c25d5cea06dc8/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..280ac951c3fe5c7cf4400440d39753d1f2500675 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f41c25d5cea06dc8/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_clickbench_group_count\nSELECT \"ord_2\", COUNT(*) AS row_count\nFROM \"c14\"\nGROUP BY \"ord_2\"\nORDER BY row_count DESC;","notes":"Grouped count by category on \"ord_2\" using the planned template to inspect subgroup size distribution."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f41c25d5cea06dc8/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f41c25d5cea06dc8/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f5e03d5013932456/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f5e03d5013932456/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..84a9dc64b73c5243611a337b7fb5c4720425685c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f5e03d5013932456/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12084, "bytes_utf8": 12084, "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": 538, "bytes_utf8": 538, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16025, "cached_input_tokens": 12032, "output_tokens": 862, "reasoning_output_tokens": 695}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f5e03d5013932456/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f5e03d5013932456/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..6d0b4de4fff5978b48b53f1eedd1ca340aa986c4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f5e03d5013932456/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_f5e03d5013932456", + "api_calls": 0, + "input_tokens": 16025, + "cached_input_tokens": 12032, + "output_tokens": 862, + "total_tokens": 16887, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 16979.47, + "sql_execution_elapsed_ms_total": 364.38, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f5e03d5013932456/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f5e03d5013932456/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f5e03d5013932456/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..3becd7bdb5d4e3c23830c6b69b4096ae81838493 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f5e03d5013932456/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:35:55.445790+00:00", + "ended_at": "2026-05-19T15:36:12.425290+00:00", + "elapsed_ms": 16979.47, + "prompt_metrics": { + "chars": 12084, + "bytes_utf8": 12084, + "lines": 398, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 922, + "bytes_utf8": 922, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 538, + "bytes_utf8": 538, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16025, + "cached_input_tokens": 12032, + "output_tokens": 862, + "reasoning_output_tokens": 695 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f5e03d5013932456/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f5e03d5013932456/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0c86cbd15383e50d13e6e2c5494c846825bf6d16 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f5e03d5013932456/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "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_d/c14/artifacts/v2q_c14_f5e03d5013932456/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f5e03d5013932456/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..d2e8c63beb2919bf4403f748f64fd0d1afabf807 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f5e03d5013932456/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e1-1e3b-7b71-9268-a5b8bb55fbe1"} +{"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 \\\"c14\\\"\\nGROUP BY \\\"nom_4\\\", \\\"nom_8\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Uses the planned template with group_col=\\\"nom_4\\\", item_col=\\\"nom_8\\\", and measure_col=\\\"month\\\". \\\"month\\\" is cast to REAL because it is stored as TEXT in the SQLite schema.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16025,"cached_input_tokens":12032,"output_tokens":862,"reasoning_output_tokens":695}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f5e03d5013932456/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f5e03d5013932456/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e1fbdc4384fbac12b4e45501340f744b6ea07524 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f5e03d5013932456/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 \"c14\"\nGROUP BY \"nom_4\", \"nom_8\"\nORDER BY share_within_group DESC;","notes":"Uses the planned template with group_col=\"nom_4\", item_col=\"nom_8\", and measure_col=\"month\". \"month\" is cast to REAL because it is stored as TEXT in the SQLite schema."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f5e03d5013932456/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f5e03d5013932456/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f6375304227b47d6/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f6375304227b47d6/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..17726ca0690fcb60be1847cda251120752d71bae --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f6375304227b47d6/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12232, "bytes_utf8": 12232, "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": 619, "bytes_utf8": 619, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16042, "cached_input_tokens": 14720, "output_tokens": 644, "reasoning_output_tokens": 468}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f6375304227b47d6/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f6375304227b47d6/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..bff3369767e771d9fdd7a65b91a19037ff150ce9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f6375304227b47d6/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_f6375304227b47d6", + "api_calls": 0, + "input_tokens": 16042, + "cached_input_tokens": 14720, + "output_tokens": 644, + "total_tokens": 16686, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 16052.8, + "sql_execution_elapsed_ms_total": 186.19, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f6375304227b47d6/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f6375304227b47d6/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f6375304227b47d6/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..3ca2749ad47acd6987110ca815a7ea3b2e1ac7ba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f6375304227b47d6/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:50:23.800400+00:00", + "ended_at": "2026-05-19T15:50:39.853225+00:00", + "elapsed_ms": 16052.8, + "prompt_metrics": { + "chars": 12232, + "bytes_utf8": 12232, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 994, + "bytes_utf8": 994, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 619, + "bytes_utf8": 619, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16042, + "cached_input_tokens": 14720, + "output_tokens": 644, + "reasoning_output_tokens": 468 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f6375304227b47d6/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f6375304227b47d6/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c88eab31a0c0d8a95a36f18ccea1cee9fa3b16f3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f6375304227b47d6/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=nom_1, measure_col=day.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "nom_1", + "measure_col": "day", + "top_k": 13, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 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 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f6375304227b47d6/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f6375304227b47d6/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c835d7bb4018c815b139f04b1b14ff1ad09e4250 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f6375304227b47d6/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ee-5e41-7562-a057-c9d4a8851aef"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"nom_1\\\" AS \\\"nom_1\\\", SUM(CAST(\\\"day\\\" AS REAL)) AS group_value\\n FROM \\\"c14\\\"\\n GROUP BY \\\"nom_1\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"nom_1\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\",\"notes\":\"Used the provided Relative-to-Total Extreme Threshold template with group_col=\\\"nom_1\\\" and measure_col=\\\"day\\\". Cast \\\"day\\\" from TEXT to REAL so SQLite aggregates it numerically.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16042,"cached_input_tokens":14720,"output_tokens":644,"reasoning_output_tokens":468}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f6375304227b47d6/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f6375304227b47d6/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a31f61fc7bcc42d9e2541c5d4ee2dcc456978f0a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f6375304227b47d6/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"nom_1\" AS \"nom_1\", SUM(CAST(\"day\" AS REAL)) AS group_value\n FROM \"c14\"\n GROUP BY \"nom_1\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"nom_1\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.1\nORDER BY g.group_value DESC;","notes":"Used the provided Relative-to-Total Extreme Threshold template with group_col=\"nom_1\" and measure_col=\"day\". Cast \"day\" from TEXT to REAL so SQLite aggregates it numerically."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f6375304227b47d6/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f6375304227b47d6/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f64ff7fc10b25729/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f64ff7fc10b25729/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..0f3c89e4f39d9f929c952662e9aa365bb90a2006 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f64ff7fc10b25729/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": "2026-05-19T16:11:59.643272+00:00", + "ended_at": "2026-05-19T16:12:02.876884+00:00", + "elapsed_ms": 3233.58, + "returncode": 1, + "prompt_metrics": { + "chars": 11769, + "bytes_utf8": 11769, + "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_d/c14/artifacts/v2q_c14_f64ff7fc10b25729/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f64ff7fc10b25729/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..8bfbad17ed3d1ed5a164054cf60291b2bb1a2852 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f64ff7fc10b25729/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": "2026-05-19T16:12:03.879011+00:00", + "ended_at": "2026-05-19T16:12:07.161342+00:00", + "elapsed_ms": 3282.29, + "returncode": 1, + "prompt_metrics": { + "chars": 11769, + "bytes_utf8": 11769, + "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_d/c14/artifacts/v2q_c14_f64ff7fc10b25729/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f64ff7fc10b25729/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f28dc73a2d04897ffdd1151bda74497a5cb978e3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f64ff7fc10b25729/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=ord_1, measure_col=ord_0.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "ord_1", + "measure_col": "ord_0", + "top_k": 17, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2.32, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f64ff7fc10b25729/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f64ff7fc10b25729/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..f28dc73a2d04897ffdd1151bda74497a5cb978e3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f64ff7fc10b25729/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=ord_1, measure_col=ord_0.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "ord_1", + "measure_col": "ord_0", + "top_k": 17, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2.32, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f64ff7fc10b25729/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f64ff7fc10b25729/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..032fc3033c4f3b408cb293d7adc5f96ab3e0fa5f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f64ff7fc10b25729/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-2414-71c0-8b77-29d6eca7e556"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f64ff7fc10b25729/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f64ff7fc10b25729/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8e672bdbd9fe7e98bf086cbe841d28c0e9d60621 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f64ff7fc10b25729/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-2414-71c0-8b77-29d6eca7e556"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f64ff7fc10b25729/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f64ff7fc10b25729/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5a62a97db972909faeb3c0db5c9e4acef74e9b10 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f64ff7fc10b25729/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-34a4-7800-a7b0-46de334eb233"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f64ff7fc10b25729/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f64ff7fc10b25729/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..1d0d504a14095e6e3d273d0d70461a62e932d1c0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f64ff7fc10b25729/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-34a4-7800-a7b0-46de334eb233"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f64ff7fc10b25729/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f64ff7fc10b25729/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f64ff7fc10b25729/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f64ff7fc10b25729/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_fb1b35fbde9a324f/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_fb1b35fbde9a324f/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..263e78e9d1e5a5e55181e46a6f09dfa19d13e320 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_fb1b35fbde9a324f/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11940, "bytes_utf8": 11940, "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": 375, "bytes_utf8": 375, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15975, "cached_input_tokens": 12032, "output_tokens": 359, "reasoning_output_tokens": 246}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_fb1b35fbde9a324f/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_fb1b35fbde9a324f/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..7cfad1ab1186d584aa37d7db5bedce96912dac0a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_fb1b35fbde9a324f/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_fb1b35fbde9a324f", + "api_calls": 0, + "input_tokens": 15975, + "cached_input_tokens": 12032, + "output_tokens": 359, + "total_tokens": 16334, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8328.07, + "sql_execution_elapsed_ms_total": 142.23, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_fb1b35fbde9a324f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_fb1b35fbde9a324f/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_fb1b35fbde9a324f/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d2461bba6a43cb7aae81f845458c13af8b785022 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_fb1b35fbde9a324f/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:05:47.188963+00:00", + "ended_at": "2026-05-19T16:05:55.517063+00:00", + "elapsed_ms": 8328.07, + "prompt_metrics": { + "chars": 11940, + "bytes_utf8": 11940, + "lines": 399, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 734, + "bytes_utf8": 734, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 375, + "bytes_utf8": 375, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15975, + "cached_input_tokens": 12032, + "output_tokens": 359, + "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_d/c14/artifacts/v2q_c14_fb1b35fbde9a324f/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_fb1b35fbde9a324f/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3b34ce0c2c18880f5cb2b26740c47b2770ebdbb0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_fb1b35fbde9a324f/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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- 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: 300000 +- 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=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] 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', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "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", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "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": "c14", + "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": "Bassoon", + "positive_value": "Oboe", + "negative_value": "Bassoon", + "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": 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_d/c14/artifacts/v2q_c14_fb1b35fbde9a324f/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_fb1b35fbde9a324f/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..45ec724cb90a53920e0da4603078a36dd9bdd94a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_fb1b35fbde9a324f/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-7547-75c2-9fab-b9bf404a51f9"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"nom_4\\\",\\n AVG(CASE WHEN \\\"nom_4\\\" = 'Bassoon' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"c14\\\"\\nGROUP BY \\\"nom_4\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Applied the Grouped Condition Rate template with both group_col and condition_col bound to \\\"nom_4\\\" and condition_value set to 'Bassoon'.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15975,"cached_input_tokens":12032,"output_tokens":359,"reasoning_output_tokens":246}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_fb1b35fbde9a324f/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_fb1b35fbde9a324f/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b8cf5e49d35f43cfcad01d5564907fd91864cc1d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_fb1b35fbde9a324f/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"nom_4\",\n AVG(CASE WHEN \"nom_4\" = 'Bassoon' THEN 1 ELSE 0 END) AS \"condition_rate\"\nFROM \"c14\"\nGROUP BY \"nom_4\"\nORDER BY \"condition_rate\" DESC;","notes":"Applied the Grouped Condition Rate template with both group_col and condition_col bound to \"nom_4\" and condition_value set to 'Bassoon'."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_fb1b35fbde9a324f/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_fb1b35fbde9a324f/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_0dcdca770e1d401b/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_0dcdca770e1d401b/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..7bf43a296519d85eff4e6d8ba82e00d706594c16 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_0dcdca770e1d401b/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=attribute4, measure_col=attribute4. +Result preview: [{"attribute4": "1751", "percentile_measure": 1751.0}, {"attribute4": "737", "percentile_measure": 737.0}, {"attribute4": "343", "percentile_measure": 343.0}, {"attribute4": "300", "percentile_measure": 300.0}, {"attribute4": "258", "percentile_measure": 258.0}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_0dcdca770e1d401b/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_0dcdca770e1d401b/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..2c8860eea02cc55237790b1abb98110c6538d139 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_0dcdca770e1d401b/generated_sql.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_0dcdca770e1d401b +-- problem_id: v2p_n17_e30559b26c1bd61e +-- realization_mode: agent +-- source_kind: agent +SELECT + "attribute4", + CAST("attribute4" AS REAL) AS "percentile_measure" +FROM "n17" +GROUP BY "attribute4" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_0dcdca770e1d401b/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_0dcdca770e1d401b/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..50517d78d579f03cca8b9a32d5b69eb714dff19d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_0dcdca770e1d401b/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_grouped_percentile_point\nSELECT\n \"attribute4\",\n CAST(\"attribute4\" AS REAL) AS \"percentile_measure\"\nFROM \"n17\"\nGROUP BY \"attribute4\"\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nSELECT\\n \\\"attribute4\\\",\\n CAST(\\\"attribute4\\\" AS REAL) AS \\\"percentile_measure\\\"\\nFROM \\\"n17\\\"\\nGROUP BY \\\"attribute4\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"attribute4\", \"percentile_measure\"], \"rows\": [{\"attribute4\": \"1751\", \"percentile_measure\": 1751.0}, {\"attribute4\": \"737\", \"percentile_measure\": 737.0}, {\"attribute4\": \"343\", \"percentile_measure\": 343.0}, {\"attribute4\": \"300\", \"percentile_measure\": 300.0}, {\"attribute4\": \"258\", \"percentile_measure\": 258.0}, {\"attribute4\": \"111\", \"percentile_measure\": 111.0}, {\"attribute4\": \"83\", \"percentile_measure\": 83.0}, {\"attribute4\": \"57\", \"percentile_measure\": 57.0}, {\"attribute4\": \"53\", \"percentile_measure\": 53.0}, {\"attribute4\": \"50\", \"percentile_measure\": 50.0}, {\"attribute4\": \"46\", \"percentile_measure\": 46.0}, {\"attribute4\": \"27\", \"percentile_measure\": 27.0}, {\"attribute4\": \"26\", \"percentile_measure\": 26.0}, {\"attribute4\": \"21\", \"percentile_measure\": 21.0}, {\"attribute4\": \"20\", \"percentile_measure\": 20.0}, {\"attribute4\": \"17\", \"percentile_measure\": 17.0}, {\"attribute4\": \"15\", \"percentile_measure\": 15.0}, {\"attribute4\": \"14\", \"percentile_measure\": 14.0}, {\"attribute4\": \"13\", \"percentile_measure\": 13.0}, {\"attribute4\": \"12\", \"percentile_measure\": 12.0}, {\"attribute4\": \"11\", \"percentile_measure\": 11.0}, {\"attribute4\": \"10\", \"percentile_measure\": 10.0}, {\"attribute4\": \"9\", \"percentile_measure\": 9.0}, {\"attribute4\": \"8\", \"percentile_measure\": 8.0}, {\"attribute4\": \"7\", \"percentile_measure\": 7.0}, {\"attribute4\": \"6\", \"percentile_measure\": 6.0}, {\"attribute4\": \"5\", \"percentile_measure\": 5.0}, {\"attribute4\": \"4\", \"percentile_measure\": 4.0}, {\"attribute4\": \"3\", \"percentile_measure\": 3.0}, {\"attribute4\": \"2\", \"percentile_measure\": 2.0}, {\"attribute4\": \"1\", \"percentile_measure\": 1.0}, {\"attribute4\": \"0\", \"percentile_measure\": 0.0}, {\"attribute4\": \"-1\", \"percentile_measure\": -1.0}, {\"attribute4\": \"-2\", \"percentile_measure\": -2.0}, {\"attribute4\": \"-3\", \"percentile_measure\": -3.0}, {\"attribute4\": \"-4\", \"percentile_measure\": -4.0}, {\"attribute4\": \"-5\", \"percentile_measure\": -5.0}, {\"attribute4\": \"-6\", \"percentile_measure\": -6.0}, {\"attribute4\": \"-7\", \"percentile_measure\": -7.0}, {\"attribute4\": \"-8\", \"percentile_measure\": -8.0}, {\"attribute4\": \"-9\", \"percentile_measure\": -9.0}, {\"attribute4\": \"-10\", \"percentile_measure\": -10.0}, {\"attribute4\": \"-11\", \"percentile_measure\": -11.0}, {\"attribute4\": \"-12\", \"percentile_measure\": -12.0}, {\"attribute4\": \"-13\", \"percentile_measure\": -13.0}, {\"attribute4\": \"-14\", \"percentile_measure\": -14.0}, {\"attribute4\": \"-15\", \"percentile_measure\": -15.0}, {\"attribute4\": \"-16\", \"percentile_measure\": -16.0}, {\"attribute4\": \"-17\", \"percentile_measure\": -17.0}, {\"attribute4\": \"-18\", \"percentile_measure\": -18.0}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 4.68}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_0dcdca770e1d401b/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_0dcdca770e1d401b/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..bc1291b3049537783f3cec695f5928f3da41afa2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_0dcdca770e1d401b/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "n17", + "started_at": "2026-05-19T15:56:19.040078+00:00", + "ended_at": "2026-05-19T15:56:31.948150+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n17_0dcdca770e1d401b", + "problem_id": "v2p_n17_e30559b26c1bd61e", + "dataset_id": "n17", + "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=attribute4, measure_col=attribute4.", + "bindings": { + "group_col": "attribute4", + "measure_col": "attribute4", + "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": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=10", + "sql_variant_index=1/2", + "binding_index=93" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 10, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_0dcdca770e1d401b.sql", + "usage_summary": { + "dataset_id": "n17", + "model": "v2-cli:codex", + "run_id": "v2q_n17_0dcdca770e1d401b", + "api_calls": 0, + "input_tokens": 14069, + "cached_input_tokens": 12672, + "output_tokens": 549, + "total_tokens": 14618, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12900.07, + "sql_execution_elapsed_ms_total": 4.68, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_0dcdca770e1d401b/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_0dcdca770e1d401b/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_0dcdca770e1d401b/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..15922efba44032e42e7cae0abcd81996e128a861 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_0dcdca770e1d401b/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:56:31.942099+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": 12900.07, "started_at": "2026-05-19T15:56:19.041228+00:00", "ended_at": "2026-05-19T15:56:31.941325+00:00", "prompt_metrics": {"chars": 6837, "bytes_utf8": 6837, "lines": 216, "estimated_tokens": null}, "response_metrics": {"chars": 535, "bytes_utf8": 535, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14069, "cached_input_tokens": 12672, "output_tokens": 549, "reasoning_output_tokens": 413}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nSELECT\\n \\\"attribute4\\\",\\n CAST(\\\"attribute4\\\" AS REAL) AS \\\"percentile_measure\\\"\\nFROM \\\"n17\\\"\\nGROUP BY \\\"attribute4\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT. Because both group_col and measure_col are \\\"attribute4\\\", every row within a group has the same measure value, so the 0.9 percentile for each group is exactly that group's \\\"attribute4\\\" value. CAST is used for numeric ordering because the column is stored as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_0dcdca770e1d401b/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_0dcdca770e1d401b/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a96ff6061d105b4bdeae633c754b11b0cbf4db3e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_0dcdca770e1d401b/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n17", + "model": "v2-cli:codex", + "run_id": "v2q_n17_0dcdca770e1d401b", + "api_calls": 0, + "input_tokens": 14069, + "cached_input_tokens": 12672, + "output_tokens": 549, + "total_tokens": 14618, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12900.07, + "sql_execution_elapsed_ms_total": 4.68, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_0dcdca770e1d401b/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_11198d784994803b/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_11198d784994803b/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..fba4d67266dd51ecb0e72edbb075013f9a7ba315 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_11198d784994803b/run_manifest.json @@ -0,0 +1,72 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "n17", + "started_at": "2026-05-19T15:58:01.271845+00:00", + "ended_at": "2026-05-19T15:58:08.747564+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n17_11198d784994803b", + "problem_id": "v2p_n17_6dd9269ffdbdab81", + "dataset_id": "n17", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=class, condition_col=class.", + "bindings": { + "group_col": "class", + "condition_col": "class", + "condition_value": "1", + "positive_value": "1", + "negative_value": "4", + "top_k": 14, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 55.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=1/2", + "binding_index=99" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_11198d784994803b/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_11198d784994803b/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..59583faabd861c5496a8f607788cc38ce683c4ba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_11198d784994803b/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:58:04.544556+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": 3269.85, "started_at": "2026-05-19T15:58:01.273113+00:00", "ended_at": "2026-05-19T15:58:04.543051+00:00", "prompt_metrics": {"chars": 6877, "bytes_utf8": 6877, "lines": 219, "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\":\"019e40f5-5937-7a20-abc5-933addfba9ce\"}\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": "2026-05-19T15:58:08.747470+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": 3200.56, "started_at": "2026-05-19T15:58:05.546089+00:00", "ended_at": "2026-05-19T15:58:08.746696+00:00", "prompt_metrics": {"chars": 6877, "bytes_utf8": 6877, "lines": 219, "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\":\"019e40f5-6a1b-7462-a58e-69e95e4967e3\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_11f0a8b4d13d4390/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_11f0a8b4d13d4390/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..fdeb3b5e4f8ad3d44cb547a6cca0b9eab2f8e12a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_11f0a8b4d13d4390/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=attribute8. +Result preview: [{"attribute8": "-14", "support": 1}, {"attribute8": "-191", "support": 1}, {"attribute8": "104", "support": 1}, {"attribute8": "113", "support": 1}, {"attribute8": "4", "support": 1}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_11f0a8b4d13d4390/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_11f0a8b4d13d4390/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..c4fda12b1de6105fbea2a5231a7ae87b7952b043 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_11f0a8b4d13d4390/generated_sql.sql @@ -0,0 +1,20 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: count_distribution +-- template_id: tpl_tail_low_support_group_count_v2 +-- query_record_id: v2q_n17_11f0a8b4d13d4390 +-- problem_id: v2p_n17_2c4ce77acdc76536 +-- realization_mode: agent +-- source_kind: agent +SELECT + "attribute8", + COUNT(*) AS "support" +FROM "n17" +GROUP BY "attribute8" +ORDER BY "support" ASC, "attribute8" +LIMIT 12; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_11f0a8b4d13d4390/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_11f0a8b4d13d4390/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a1cdfb9d629d7cf099597e541ca6036af429ad26 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_11f0a8b4d13d4390/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n \"attribute8\",\n COUNT(*) AS \"support\"\nFROM \"n17\"\nGROUP BY \"attribute8\"\nORDER BY \"support\" ASC, \"attribute8\"\nLIMIT 12;", "result": "{\"query\": \"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"attribute8\\\",\\n COUNT(*) AS \\\"support\\\"\\nFROM \\\"n17\\\"\\nGROUP BY \\\"attribute8\\\"\\nORDER BY \\\"support\\\" ASC, \\\"attribute8\\\"\\nLIMIT 12;\", \"columns\": [\"attribute8\", \"support\"], \"rows\": [{\"attribute8\": \"-14\", \"support\": 1}, {\"attribute8\": \"-191\", \"support\": 1}, {\"attribute8\": \"104\", \"support\": 1}, {\"attribute8\": \"113\", \"support\": 1}, {\"attribute8\": \"4\", \"support\": 1}, {\"attribute8\": \"131\", \"support\": 2}, {\"attribute8\": \"21\", \"support\": 2}, {\"attribute8\": \"116\", \"support\": 4}, {\"attribute8\": \"106\", \"support\": 5}, {\"attribute8\": \"115\", \"support\": 5}, {\"attribute8\": \"119\", \"support\": 7}, {\"attribute8\": \"129\", \"support\": 7}], \"row_count_returned\": 12, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 10.28}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_11f0a8b4d13d4390/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_11f0a8b4d13d4390/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..0ca0f5eff6752a543f1a2926d94fef332466625e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_11f0a8b4d13d4390/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "n17", + "started_at": "2026-05-19T16:03:53.674094+00:00", + "ended_at": "2026-05-19T16:04:03.403144+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n17_11f0a8b4d13d4390", + "problem_id": "v2p_n17_2c4ce77acdc76536", + "dataset_id": "n17", + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=attribute8.", + "bindings": { + "group_col": "attribute8", + "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": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'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=1/2", + "binding_index=127" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_11f0a8b4d13d4390.sql", + "usage_summary": { + "dataset_id": "n17", + "model": "v2-cli:codex", + "run_id": "v2q_n17_11f0a8b4d13d4390", + "api_calls": 0, + "input_tokens": 14039, + "cached_input_tokens": 12672, + "output_tokens": 384, + "total_tokens": 14423, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9713.66, + "sql_execution_elapsed_ms_total": 10.28, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_11f0a8b4d13d4390/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_11f0a8b4d13d4390/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_11f0a8b4d13d4390/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..467dbca842fd2c784f8e26f2bb447050aef2606c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_11f0a8b4d13d4390/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:04:03.391094+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": 9713.66, "started_at": "2026-05-19T16:03:53.676428+00:00", "ended_at": "2026-05-19T16:04:03.390126+00:00", "prompt_metrics": {"chars": 6645, "bytes_utf8": 6645, "lines": 214, "estimated_tokens": null}, "response_metrics": {"chars": 346, "bytes_utf8": 346, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14039, "cached_input_tokens": 12672, "output_tokens": 384, "reasoning_output_tokens": 287}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"attribute8\\\",\\n COUNT(*) AS \\\"support\\\"\\nFROM \\\"n17\\\"\\nGROUP BY \\\"attribute8\\\"\\nORDER BY \\\"support\\\" ASC, \\\"attribute8\\\"\\nLIMIT 12;\",\"notes\":\"Uses the Low-Support Group Count template with group_col bound to attribute8, returning the 12 lowest-support attribute8 groups.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_11f0a8b4d13d4390/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_11f0a8b4d13d4390/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..74978e726ebb431d28ca4507fac2f2678fc98c70 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_11f0a8b4d13d4390/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n17", + "model": "v2-cli:codex", + "run_id": "v2q_n17_11f0a8b4d13d4390", + "api_calls": 0, + "input_tokens": 14039, + "cached_input_tokens": 12672, + "output_tokens": 384, + "total_tokens": 14423, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9713.66, + "sql_execution_elapsed_ms_total": 10.28, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_11f0a8b4d13d4390/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_2a97453c5ae9e9b8/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_2a97453c5ae9e9b8/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..f6e679bf3585c5120f486d9ef616916a3fa9ad71 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_2a97453c5ae9e9b8/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "n17", + "started_at": "2026-05-19T16:05:08.512929+00:00", + "ended_at": "2026-05-19T16:05:18.684644+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n17_2a97453c5ae9e9b8", + "problem_id": "v2p_n17_e7898138a4565663", + "dataset_id": "n17", + "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=attribute6, measure_col=time.", + "bindings": { + "group_col": "attribute6", + "measure_col": "time", + "top_k": 10, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 55.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=1/2", + "binding_index=135" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_2a97453c5ae9e9b8/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_2a97453c5ae9e9b8/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ca8c5d63be288b51c7babc2d628f9fc1766bdebd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_2a97453c5ae9e9b8/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:05:12.954969+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": 4439.84, "started_at": "2026-05-19T16:05:08.514380+00:00", "ended_at": "2026-05-19T16:05:12.954241+00:00", "prompt_metrics": {"chars": 6730, "bytes_utf8": 6730, "lines": 216, "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-de3c-7f42-9428-a0510d2c55dc\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:05:18.684548+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": 4727.43, "started_at": "2026-05-19T16:05:13.956315+00:00", "ended_at": "2026-05-19T16:05:18.683785+00:00", "prompt_metrics": {"chars": 6730, "bytes_utf8": 6730, "lines": 216, "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-f376-7632-95d1-3c2bd281f4cd\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_304658f364d2210c/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_304658f364d2210c/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..c9511cb3c8cad81381a4f2aaf41e70966465bf7d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_304658f364d2210c/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=attribute9. +Result preview: [{"attribute9": "0", "row_count": 5096}, {"attribute9": "2", "row_count": 3716}, {"attribute9": "4", "row_count": 427}, {"attribute9": "6", "row_count": 420}, {"attribute9": "8", "row_count": 412}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_304658f364d2210c/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_304658f364d2210c/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..58254c50e5d79776dc6ac7b9b92065c9b0f22528 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_304658f364d2210c/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_304658f364d2210c +-- problem_id: v2p_n17_2edd25c0bc0e34d5 +-- realization_mode: agent +-- source_kind: agent +SELECT "attribute9", COUNT(*) AS row_count +FROM "n17" +GROUP BY "attribute9" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_304658f364d2210c/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_304658f364d2210c/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..cad450051c01e345cb198268714e8169c2f5e057 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_304658f364d2210c/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 \"attribute9\", COUNT(*) AS row_count\nFROM \"n17\"\nGROUP BY \"attribute9\"\nORDER BY row_count DESC;", "result": "{\"query\": \"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"attribute9\\\", COUNT(*) AS row_count\\nFROM \\\"n17\\\"\\nGROUP BY \\\"attribute9\\\"\\nORDER BY row_count DESC;\", \"columns\": [\"attribute9\", \"row_count\"], \"rows\": [{\"attribute9\": \"0\", \"row_count\": 5096}, {\"attribute9\": \"2\", \"row_count\": 3716}, {\"attribute9\": \"4\", \"row_count\": 427}, {\"attribute9\": \"6\", \"row_count\": 420}, {\"attribute9\": \"8\", \"row_count\": 412}, {\"attribute9\": \"14\", \"row_count\": 371}, {\"attribute9\": \"12\", \"row_count\": 309}, {\"attribute9\": \"16\", \"row_count\": 278}, {\"attribute9\": \"10\", \"row_count\": 214}, {\"attribute9\": \"32\", \"row_count\": 203}, {\"attribute9\": \"34\", \"row_count\": 197}, {\"attribute9\": \"18\", \"row_count\": 174}, {\"attribute9\": \"30\", \"row_count\": 157}, {\"attribute9\": \"22\", \"row_count\": 154}, {\"attribute9\": \"24\", \"row_count\": 142}, {\"attribute9\": \"40\", \"row_count\": 133}, {\"attribute9\": \"26\", \"row_count\": 124}, {\"attribute9\": \"36\", \"row_count\": 123}, {\"attribute9\": \"28\", \"row_count\": 108}, {\"attribute9\": \"42\", \"row_count\": 102}, {\"attribute9\": \"20\", \"row_count\": 83}, {\"attribute9\": \"58\", \"row_count\": 74}, {\"attribute9\": \"56\", \"row_count\": 66}, {\"attribute9\": \"60\", \"row_count\": 63}, {\"attribute9\": \"48\", \"row_count\": 63}, {\"attribute9\": \"82\", \"row_count\": 62}, {\"attribute9\": \"46\", \"row_count\": 61}, {\"attribute9\": \"84\", \"row_count\": 57}, {\"attribute9\": \"62\", \"row_count\": 57}, {\"attribute9\": \"66\", \"row_count\": 54}, {\"attribute9\": \"122\", \"row_count\": 54}, {\"attribute9\": \"64\", \"row_count\": 52}, {\"attribute9\": \"50\", \"row_count\": 51}, {\"attribute9\": \"78\", \"row_count\": 49}, {\"attribute9\": \"118\", \"row_count\": 49}, {\"attribute9\": \"120\", \"row_count\": 48}, {\"attribute9\": \"38\", \"row_count\": 46}, {\"attribute9\": \"124\", \"row_count\": 46}, {\"attribute9\": \"76\", \"row_count\": 45}, {\"attribute9\": \"88\", \"row_count\": 44}, {\"attribute9\": \"74\", \"row_count\": 42}, {\"attribute9\": \"86\", \"row_count\": 40}, {\"attribute9\": \"80\", \"row_count\": 39}, {\"attribute9\": \"68\", \"row_count\": 36}, {\"attribute9\": \"96\", \"row_count\": 33}, {\"attribute9\": \"52\", \"row_count\": 29}, {\"attribute9\": \"72\", \"row_count\": 27}, {\"attribute9\": \"90\", \"row_count\": 26}, {\"attribute9\": \"92\", \"row_count\": 23}, {\"attribute9\": \"70\", \"row_count\": 22}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 6.84}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_304658f364d2210c/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_304658f364d2210c/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..4fc4731596f74e4b3a77c349e020953bb48f5147 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_304658f364d2210c/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "n17", + "started_at": "2026-05-19T15:33:03.915500+00:00", + "ended_at": "2026-05-19T15:33:13.757933+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n17_304658f364d2210c", + "problem_id": "v2p_n17_2edd25c0bc0e34d5", + "dataset_id": "n17", + "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=attribute9.", + "bindings": { + "group_col": "attribute9", + "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": 55.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift", + "template_selection_mode=rule", + "problem_index_within_template=7", + "sql_variant_index=1/1", + "binding_index=18" + ], + "template_selection_mode": "rule", + "selected_template_rank": 2, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_304658f364d2210c.sql", + "usage_summary": { + "dataset_id": "n17", + "model": "v2-cli:codex", + "run_id": "v2q_n17_304658f364d2210c", + "api_calls": 0, + "input_tokens": 14004, + "cached_input_tokens": 12672, + "output_tokens": 287, + "total_tokens": 14291, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9830.68, + "sql_execution_elapsed_ms_total": 6.84, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_304658f364d2210c/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_304658f364d2210c/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_304658f364d2210c/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..121631e043aa88108ae1247251d48e7a8018f631 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_304658f364d2210c/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:33:13.749267+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": 9830.68, "started_at": "2026-05-19T15:33:03.917489+00:00", "ended_at": "2026-05-19T15:33:13.748200+00:00", "prompt_metrics": {"chars": 6567, "bytes_utf8": 6567, "lines": 214, "estimated_tokens": null}, "response_metrics": {"chars": 285, "bytes_utf8": 285, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14004, "cached_input_tokens": 12672, "output_tokens": 287, "reasoning_output_tokens": 210}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"attribute9\\\", COUNT(*) AS row_count\\nFROM \\\"n17\\\"\\nGROUP BY \\\"attribute9\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Uses the planned grouped count template with \\\"attribute9\\\" as the grouping column on the single table \\\"n17\\\".\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_304658f364d2210c/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_304658f364d2210c/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a95688e49bc505fa30bc4a1b5610c039532c64a9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_304658f364d2210c/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n17", + "model": "v2-cli:codex", + "run_id": "v2q_n17_304658f364d2210c", + "api_calls": 0, + "input_tokens": 14004, + "cached_input_tokens": 12672, + "output_tokens": 287, + "total_tokens": 14291, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9830.68, + "sql_execution_elapsed_ms_total": 6.84, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_304658f364d2210c/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_36322d2f6f04fb32/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_36322d2f6f04fb32/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..aaac790c2d18600934967cd5e9298ea264084167 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_36322d2f6f04fb32/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "n17", + "started_at": "2026-05-19T16:00:32.748196+00:00", + "ended_at": "2026-05-19T16:00:39.923694+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n17_36322d2f6f04fb32", + "problem_id": "v2p_n17_ee4bc1a779547e65", + "dataset_id": "n17", + "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=attribute7.", + "bindings": { + "measure_col": "attribute7", + "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": 42.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=7", + "sql_variant_index=1/1", + "binding_index=114" + ], + "template_selection_mode": "rule", + "selected_template_rank": 10, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_36322d2f6f04fb32/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_36322d2f6f04fb32/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d303671d5cea36ac3a7e5313f28cfa1d396b7109 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_36322d2f6f04fb32/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:00:35.992959+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3241.77, "started_at": "2026-05-19T16:00:32.750436+00:00", "ended_at": "2026-05-19T16:00:35.992242+00:00", "prompt_metrics": {"chars": 6594, "bytes_utf8": 6594, "lines": 214, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f7-a915-7a22-bf04-477ffc10e348\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:00:39.923606+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": 2928.97, "started_at": "2026-05-19T16:00:36.993852+00:00", "ended_at": "2026-05-19T16:00:39.922850+00:00", "prompt_metrics": {"chars": 6594, "bytes_utf8": 6594, "lines": 214, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f7-b9a1-7e80-8e34-739f37a2ddda\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_603ad9bb78481827/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_603ad9bb78481827/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..8f1898b79634518e64da126ac9337ae377a437fa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_603ad9bb78481827/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=attribute6, measure_col=attribute6. +Result preview: [{"attribute6": "15164", "total_measure": 15164}, {"attribute6": "12588", "total_measure": 12588}, {"attribute6": "12169", "total_measure": 12169}, {"attribute6": "8098", "total_measure": 8098}, {"attribute6": "31", "total_measure": 3720}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_603ad9bb78481827/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_603ad9bb78481827/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..8b3bdc9131888d49d9b182bc46de086a0243497f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_603ad9bb78481827/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_603ad9bb78481827 +-- problem_id: v2p_n17_7d89b75a728a2988 +-- realization_mode: agent +-- source_kind: agent +SELECT "attribute6", SUM(CAST("attribute6" AS NUMERIC)) AS total_measure +FROM "n17" +GROUP BY "attribute6" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_603ad9bb78481827/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_603ad9bb78481827/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4482fe9899bb32fd85d7223be27e1498be1865cf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_603ad9bb78481827/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 \"attribute6\", SUM(CAST(\"attribute6\" AS NUMERIC)) AS total_measure\nFROM \"n17\"\nGROUP BY \"attribute6\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"attribute6\\\", SUM(CAST(\\\"attribute6\\\" AS NUMERIC)) AS total_measure\\nFROM \\\"n17\\\"\\nGROUP BY \\\"attribute6\\\"\\nORDER BY total_measure DESC;\", \"columns\": [\"attribute6\", \"total_measure\"], \"rows\": [{\"attribute6\": \"15164\", \"total_measure\": 15164}, {\"attribute6\": \"12588\", \"total_measure\": 12588}, {\"attribute6\": \"12169\", \"total_measure\": 12169}, {\"attribute6\": \"8098\", \"total_measure\": 8098}, {\"attribute6\": \"31\", \"total_measure\": 3720}, {\"attribute6\": \"3378\", \"total_measure\": 3378}, {\"attribute6\": \"22\", \"total_measure\": 2640}, {\"attribute6\": \"2503\", \"total_measure\": 2503}, {\"attribute6\": \"24\", \"total_measure\": 2496}, {\"attribute6\": \"25\", \"total_measure\": 2425}, {\"attribute6\": \"16\", \"total_measure\": 2368}, {\"attribute6\": \"15\", \"total_measure\": 2325}, {\"attribute6\": \"23\", \"total_measure\": 2254}, {\"attribute6\": \"20\", \"total_measure\": 2240}, {\"attribute6\": \"26\", \"total_measure\": 2236}, {\"attribute6\": \"21\", \"total_measure\": 2226}, {\"attribute6\": \"17\", \"total_measure\": 2176}, {\"attribute6\": \"14\", \"total_measure\": 2170}, {\"attribute6\": \"13\", \"total_measure\": 2158}, {\"attribute6\": \"19\", \"total_measure\": 2147}, {\"attribute6\": \"12\", \"total_measure\": 2124}, {\"attribute6\": \"11\", \"total_measure\": 2112}, {\"attribute6\": \"18\", \"total_measure\": 2106}, {\"attribute6\": \"28\", \"total_measure\": 2100}, {\"attribute6\": \"29\", \"total_measure\": 2059}, {\"attribute6\": \"9\", \"total_measure\": 1944}, {\"attribute6\": \"27\", \"total_measure\": 1917}, {\"attribute6\": \"8\", \"total_measure\": 1808}, {\"attribute6\": \"10\", \"total_measure\": 1690}, {\"attribute6\": \"30\", \"total_measure\": 1680}, {\"attribute6\": \"7\", \"total_measure\": 1652}, {\"attribute6\": \"6\", \"total_measure\": 1650}, {\"attribute6\": \"5\", \"total_measure\": 1425}, {\"attribute6\": \"1329\", \"total_measure\": 1329}, {\"attribute6\": \"4\", \"total_measure\": 1000}, {\"attribute6\": \"976\", \"total_measure\": 976}, {\"attribute6\": \"889\", \"total_measure\": 889}, {\"attribute6\": \"3\", \"total_measure\": 747}, {\"attribute6\": \"677\", \"total_measure\": 677}, {\"attribute6\": \"618\", \"total_measure\": 618}, {\"attribute6\": \"571\", \"total_measure\": 571}, {\"attribute6\": \"2\", \"total_measure\": 554}, {\"attribute6\": \"509\", \"total_measure\": 509}, {\"attribute6\": \"381\", \"total_measure\": 381}, {\"attribute6\": \"177\", \"total_measure\": 354}, {\"attribute6\": \"1\", \"total_measure\": 341}, {\"attribute6\": \"157\", \"total_measure\": 314}, {\"attribute6\": \"276\", \"total_measure\": 276}, {\"attribute6\": \"132\", \"total_measure\": 264}, {\"attribute6\": \"248\", \"total_measure\": 248}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 6.31}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_603ad9bb78481827/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_603ad9bb78481827/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..36315416b2e2fc973e7cfb595d72eff513971c32 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_603ad9bb78481827/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "n17", + "started_at": "2026-05-19T15:30:09.658722+00:00", + "ended_at": "2026-05-19T15:30:18.100766+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n17_603ad9bb78481827", + "problem_id": "v2p_n17_7d89b75a728a2988", + "dataset_id": "n17", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_conditional_contrast", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=attribute6, measure_col=attribute6.", + "bindings": { + "group_col": "attribute6", + "measure_col": "attribute6", + "top_k": 10, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 6.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=1/2", + "binding_index=5" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_603ad9bb78481827.sql", + "usage_summary": { + "dataset_id": "n17", + "model": "v2-cli:codex", + "run_id": "v2q_n17_603ad9bb78481827", + "api_calls": 0, + "input_tokens": 14031, + "cached_input_tokens": 12032, + "output_tokens": 308, + "total_tokens": 14339, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8431.73, + "sql_execution_elapsed_ms_total": 6.31, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_603ad9bb78481827/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_603ad9bb78481827/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_603ad9bb78481827/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..33ce612392e589bec00230d17fb1583e61451cb9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_603ad9bb78481827/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:30:18.093166+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": 8431.73, "started_at": "2026-05-19T15:30:09.660688+00:00", "ended_at": "2026-05-19T15:30:18.092452+00:00", "prompt_metrics": {"chars": 6659, "bytes_utf8": 6659, "lines": 216, "estimated_tokens": null}, "response_metrics": {"chars": 374, "bytes_utf8": 374, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14031, "cached_input_tokens": 12032, "output_tokens": 308, "reasoning_output_tokens": 210}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"attribute6\\\", SUM(CAST(\\\"attribute6\\\" AS NUMERIC)) AS total_measure\\nFROM \\\"n17\\\"\\nGROUP BY \\\"attribute6\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Applied the Grouped Numeric Sum template with group_col=\\\"attribute6\\\" and measure_col=\\\"attribute6\\\". CAST is used because the schema stores numeric-looking values as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_603ad9bb78481827/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_603ad9bb78481827/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..722dd6a77efa358da7269b69702a194c5f6f6b6a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_603ad9bb78481827/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n17", + "model": "v2-cli:codex", + "run_id": "v2q_n17_603ad9bb78481827", + "api_calls": 0, + "input_tokens": 14031, + "cached_input_tokens": 12032, + "output_tokens": 308, + "total_tokens": 14339, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8431.73, + "sql_execution_elapsed_ms_total": 6.31, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_603ad9bb78481827/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_64df07286c6e7fa3/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_64df07286c6e7fa3/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..1bb8001aaa9c67c2b996d12a8a0fc7f5b12b1488 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_64df07286c6e7fa3/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=attribute8, measure_col=attribute6. +Result preview: [{"attribute8": "41", "group_value": 25860.0}, {"attribute8": "-191", "group_value": 15164.0}, {"attribute8": "-14", "group_value": 8098.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_64df07286c6e7fa3/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_64df07286c6e7fa3/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..d82d8b5927bda753caefb57ecef76f718358fb3f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_64df07286c6e7fa3/generated_sql.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_64df07286c6e7fa3 +-- problem_id: v2p_n17_dce3f88801097f13 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "attribute8", SUM(CAST("attribute6" AS REAL)) AS group_value + FROM "n17" + GROUP BY "attribute8" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."attribute8", g.group_value +FROM grouped AS g +CROSS JOIN total AS t +WHERE g.group_value > t.total_value * 0.1 +ORDER BY g.group_value DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_64df07286c6e7fa3/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_64df07286c6e7fa3/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c008c7a4cce4656f83a7edcadec0e76d90f5889f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_64df07286c6e7fa3/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 \"attribute8\", SUM(CAST(\"attribute6\" AS REAL)) AS group_value\n FROM \"n17\"\n GROUP BY \"attribute8\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"attribute8\", 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 \\\"attribute8\\\", SUM(CAST(\\\"attribute6\\\" AS REAL)) AS group_value\\n FROM \\\"n17\\\"\\n GROUP BY \\\"attribute8\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"attribute8\\\", 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\": [\"attribute8\", \"group_value\"], \"rows\": [{\"attribute8\": \"41\", \"group_value\": 25860.0}, {\"attribute8\": \"-191\", \"group_value\": 15164.0}, {\"attribute8\": \"-14\", \"group_value\": 8098.0}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 15.88}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_64df07286c6e7fa3/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_64df07286c6e7fa3/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..d8fd6802fa5fd2c82e6b45a4416a57ce1ffee51f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_64df07286c6e7fa3/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "n17", + "started_at": "2026-05-19T15:46:53.471123+00:00", + "ended_at": "2026-05-19T15:47:03.671066+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n17_64df07286c6e7fa3", + "problem_id": "v2p_n17_dce3f88801097f13", + "dataset_id": "n17", + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=attribute8, measure_col=attribute6.", + "bindings": { + "group_col": "attribute8", + "measure_col": "attribute6", + "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": 6.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=1/2", + "binding_index=77" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_64df07286c6e7fa3.sql", + "usage_summary": { + "dataset_id": "n17", + "model": "v2-cli:codex", + "run_id": "v2q_n17_64df07286c6e7fa3", + "api_calls": 0, + "input_tokens": 14169, + "cached_input_tokens": 12032, + "output_tokens": 415, + "total_tokens": 14584, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10178.06, + "sql_execution_elapsed_ms_total": 15.88, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_64df07286c6e7fa3/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_64df07286c6e7fa3/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_64df07286c6e7fa3/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6d2ff40d673c6e0a87760778b5d62afe6787cfbd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_64df07286c6e7fa3/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:47:03.652086+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": 10178.06, "started_at": "2026-05-19T15:46:53.472534+00:00", "ended_at": "2026-05-19T15:47:03.650625+00:00", "prompt_metrics": {"chars": 7215, "bytes_utf8": 7215, "lines": 216, "estimated_tokens": null}, "response_metrics": {"chars": 618, "bytes_utf8": 618, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14169, "cached_input_tokens": 12032, "output_tokens": 415, "reasoning_output_tokens": 251}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"attribute8\\\", SUM(CAST(\\\"attribute6\\\" AS REAL)) AS group_value\\n FROM \\\"n17\\\"\\n GROUP BY \\\"attribute8\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"attribute8\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\",\"notes\":\"Applied the provided template with group_col=\\\"attribute8\\\" and measure_col=\\\"attribute6\\\". Cast \\\"attribute6\\\" from TEXT to REAL so the aggregation is numeric in SQLite.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_64df07286c6e7fa3/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_64df07286c6e7fa3/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..4081df821ba86295cf26771d85bca9d406488e44 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_64df07286c6e7fa3/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n17", + "model": "v2-cli:codex", + "run_id": "v2q_n17_64df07286c6e7fa3", + "api_calls": 0, + "input_tokens": 14169, + "cached_input_tokens": 12032, + "output_tokens": 415, + "total_tokens": 14584, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10178.06, + "sql_execution_elapsed_ms_total": 15.88, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_64df07286c6e7fa3/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_65f213c112e3b14a/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_65f213c112e3b14a/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..42990c15416fee60e3b8881f40b55cefe187cc2a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_65f213c112e3b14a/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=attribute4, measure_col=attribute8. +Result preview: [{"attribute4": "12", "avg_measure": 92.33333333333333}, {"attribute4": "-13", "avg_measure": 91.33333333333333}, {"attribute4": "-273", "avg_measure": 88.0}, {"attribute4": "300", "avg_measure": 85.0}, {"attribute4": "53", "avg_measure": 85.0}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_65f213c112e3b14a/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_65f213c112e3b14a/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..ae9cf32ab86d5a6947011da1cc764213c3090108 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_65f213c112e3b14a/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: filtered_stable_view +-- template_id: tpl_m4_window_partition_avg +-- query_record_id: v2q_n17_65f213c112e3b14a +-- problem_id: v2p_n17_de74f17b8d2f2e64 +-- realization_mode: agent +-- source_kind: agent +SELECT DISTINCT + "attribute4", + AVG(CAST("attribute8" AS REAL)) OVER (PARTITION BY "attribute4") AS avg_measure +FROM "n17" +ORDER BY avg_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_65f213c112e3b14a/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_65f213c112e3b14a/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e8d519895192a28476a3378ca7c096dc89399651 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_65f213c112e3b14a/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_window_partition_avg\nSELECT DISTINCT\n \"attribute4\",\n AVG(CAST(\"attribute8\" AS REAL)) OVER (PARTITION BY \"attribute4\") AS avg_measure\nFROM \"n17\"\nORDER BY avg_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT\\n \\\"attribute4\\\",\\n AVG(CAST(\\\"attribute8\\\" AS REAL)) OVER (PARTITION BY \\\"attribute4\\\") AS avg_measure\\nFROM \\\"n17\\\"\\nORDER BY avg_measure DESC;\", \"columns\": [\"attribute4\", \"avg_measure\"], \"rows\": [{\"attribute4\": \"12\", \"avg_measure\": 92.33333333333333}, {\"attribute4\": \"-13\", \"avg_measure\": 91.33333333333333}, {\"attribute4\": \"-273\", \"avg_measure\": 88.0}, {\"attribute4\": \"300\", \"avg_measure\": 85.0}, {\"attribute4\": \"53\", \"avg_measure\": 85.0}, {\"attribute4\": \"-14\", \"avg_measure\": 83.5}, {\"attribute4\": \"21\", \"avg_measure\": 81.0}, {\"attribute4\": \"15\", \"avg_measure\": 80.0}, {\"attribute4\": \"10\", \"avg_measure\": 79.8}, {\"attribute4\": \"-10\", \"avg_measure\": 79.5}, {\"attribute4\": \"-9\", \"avg_measure\": 79.5}, {\"attribute4\": \"9\", \"avg_measure\": 79.33333333333333}, {\"attribute4\": \"-21\", \"avg_measure\": 79.0}, {\"attribute4\": \"-22\", \"avg_measure\": 78.5}, {\"attribute4\": \"11\", \"avg_measure\": 78.33333333333333}, {\"attribute4\": \"-12\", \"avg_measure\": 76.75}, {\"attribute4\": \"-17\", \"avg_measure\": 76.5}, {\"attribute4\": \"-15\", \"avg_measure\": 76.0}, {\"attribute4\": \"-16\", \"avg_measure\": 76.0}, {\"attribute4\": \"13\", \"avg_measure\": 75.14285714285714}, {\"attribute4\": \"-362\", \"avg_measure\": 75.0}, {\"attribute4\": \"258\", \"avg_measure\": 72.0}, {\"attribute4\": \"50\", \"avg_measure\": 72.0}, {\"attribute4\": \"-8\", \"avg_measure\": 60.5}, {\"attribute4\": \"-11\", \"avg_measure\": 60.0}, {\"attribute4\": \"-18\", \"avg_measure\": 57.0}, {\"attribute4\": \"-36\", \"avg_measure\": 55.5}, {\"attribute4\": \"111\", \"avg_measure\": 55.0}, {\"attribute4\": \"17\", \"avg_measure\": 55.0}, {\"attribute4\": \"343\", \"avg_measure\": 55.0}, {\"attribute4\": \"46\", \"avg_measure\": 55.0}, {\"attribute4\": \"57\", \"avg_measure\": 55.0}, {\"attribute4\": \"737\", \"avg_measure\": 55.0}, {\"attribute4\": \"6\", \"avg_measure\": 54.2882096069869}, {\"attribute4\": \"5\", \"avg_measure\": 53.003937007874015}, {\"attribute4\": \"20\", \"avg_measure\": 53.0}, {\"attribute4\": \"26\", \"avg_measure\": 53.0}, {\"attribute4\": \"-2\", \"avg_measure\": 52.53386454183267}, {\"attribute4\": \"4\", \"avg_measure\": 51.12252964426877}, {\"attribute4\": \"1\", \"avg_measure\": 51.09747292418773}, {\"attribute4\": \"2\", \"avg_measure\": 51.06590909090909}, {\"attribute4\": \"8\", \"avg_measure\": 50.79365079365079}, {\"attribute4\": \"0\", \"avg_measure\": 50.69429943620798}, {\"attribute4\": \"3\", \"avg_measure\": 50.29220779220779}, {\"attribute4\": \"-1\", \"avg_measure\": 50.22554347826087}, {\"attribute4\": \"-4\", \"avg_measure\": 49.776119402985074}, {\"attribute4\": \"-7\", \"avg_measure\": 49.74747474747475}, {\"attribute4\": \"-3\", \"avg_measure\": 49.51030927835052}, {\"attribute4\": \"-6\", \"avg_measure\": 48.95897435897436}, {\"attribute4\": \"-5\", \"avg_measure\": 48.8860103626943}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 23.54}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_65f213c112e3b14a/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_65f213c112e3b14a/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..60122db32003ae23f02238182aa096373f3f2b0f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_65f213c112e3b14a/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "n17", + "started_at": "2026-05-19T16:04:38.532389+00:00", + "ended_at": "2026-05-19T16:04:48.968209+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n17_65f213c112e3b14a", + "problem_id": "v2p_n17_de74f17b8d2f2e64", + "dataset_id": "n17", + "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=attribute4, measure_col=attribute8.", + "bindings": { + "group_col": "attribute4", + "measure_col": "attribute8", + "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": 51.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=2/2", + "binding_index=133" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 2, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_65f213c112e3b14a.sql", + "usage_summary": { + "dataset_id": "n17", + "model": "v2-cli:codex", + "run_id": "v2q_n17_65f213c112e3b14a", + "api_calls": 0, + "input_tokens": 14042, + "cached_input_tokens": 12032, + "output_tokens": 319, + "total_tokens": 14361, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10408.68, + "sql_execution_elapsed_ms_total": 23.54, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_65f213c112e3b14a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_65f213c112e3b14a/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_65f213c112e3b14a/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..da6f2aba5a2d751f39bae5e4f3a25d458cbc3705 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_65f213c112e3b14a/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:04:48.943069+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": 10408.68, "started_at": "2026-05-19T16:04:38.533561+00:00", "ended_at": "2026-05-19T16:04:48.942267+00:00", "prompt_metrics": {"chars": 6747, "bytes_utf8": 6747, "lines": 216, "estimated_tokens": null}, "response_metrics": {"chars": 415, "bytes_utf8": 415, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14042, "cached_input_tokens": 12032, "output_tokens": 319, "reasoning_output_tokens": 214}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT\\n \\\"attribute4\\\",\\n AVG(CAST(\\\"attribute8\\\" AS REAL)) OVER (PARTITION BY \\\"attribute4\\\") AS avg_measure\\nFROM \\\"n17\\\"\\nORDER BY avg_measure DESC;\",\"notes\":\"Applied the Window Partition Average template with group_col=\\\"attribute4\\\" and measure_col=\\\"attribute8\\\". CAST to REAL is used because the schema stores numeric-looking fields as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_65f213c112e3b14a/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_65f213c112e3b14a/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a55e523ffb3749433f23d01a705d094a9bc2dd9e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_65f213c112e3b14a/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n17", + "model": "v2-cli:codex", + "run_id": "v2q_n17_65f213c112e3b14a", + "api_calls": 0, + "input_tokens": 14042, + "cached_input_tokens": 12032, + "output_tokens": 319, + "total_tokens": 14361, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10408.68, + "sql_execution_elapsed_ms_total": 23.54, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_65f213c112e3b14a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_69f4b49ffe6d06a3/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_69f4b49ffe6d06a3/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..b7ab0828acbb1ed9b08f9f56433c9c8807666db4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_69f4b49ffe6d06a3/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=class, measure_col=attribute9. +Result preview: [{"class": "5", "percentile_measure": 122.0}, {"class": "2", "percentile_measure": 74.0}, {"class": "4", "percentile_measure": 74.0}, {"class": "6", "percentile_measure": 54.0}, {"class": "3", "percentile_measure": 48.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_69f4b49ffe6d06a3/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_69f4b49ffe6d06a3/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..40582573ef95969d68f97fb3443f5d7c20790e6a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_69f4b49ffe6d06a3/generated_sql.sql @@ -0,0 +1,38 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_69f4b49ffe6d06a3 +-- problem_id: v2p_n17_8ffb53adf4901747 +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "class", + CAST("attribute9" AS REAL) AS "attribute9_num", + CUME_DIST() OVER ( + PARTITION BY "class" + ORDER BY CAST("attribute9" AS REAL) + ) AS "cd" + FROM "n17" + WHERE "class" IS NOT NULL + AND "attribute9" IS NOT NULL +), +"percentiles" AS ( + SELECT + "class", + MIN("attribute9_num") AS "percentile_measure" + FROM "ranked" + WHERE "cd" >= 0.9 + GROUP BY "class" +) +SELECT + "class", + "percentile_measure" +FROM "percentiles" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_69f4b49ffe6d06a3/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_69f4b49ffe6d06a3/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4391ae125bbaaf68510d6ade15e45c454cc0a54b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_69f4b49ffe6d06a3/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 \"class\",\n CAST(\"attribute9\" AS REAL) AS \"attribute9_num\",\n CUME_DIST() OVER (\n PARTITION BY \"class\"\n ORDER BY CAST(\"attribute9\" AS REAL)\n ) AS \"cd\"\n FROM \"n17\"\n WHERE \"class\" IS NOT NULL\n AND \"attribute9\" IS NOT NULL\n),\n\"percentiles\" AS (\n SELECT\n \"class\",\n MIN(\"attribute9_num\") AS \"percentile_measure\"\n FROM \"ranked\"\n WHERE \"cd\" >= 0.9\n GROUP BY \"class\"\n)\nSELECT\n \"class\",\n \"percentile_measure\"\nFROM \"percentiles\"\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"class\\\",\\n CAST(\\\"attribute9\\\" AS REAL) AS \\\"attribute9_num\\\",\\n CUME_DIST() OVER (\\n PARTITION BY \\\"class\\\"\\n ORDER BY CAST(\\\"attribute9\\\" AS REAL)\\n ) AS \\\"cd\\\"\\n FROM \\\"n17\\\"\\n WHERE \\\"class\\\" IS NOT NULL\\n AND \\\"attribute9\\\" IS NOT NULL\\n),\\n\\\"percentiles\\\" AS (\\n SELECT\\n \\\"class\\\",\\n MIN(\\\"attribute9_num\\\") AS \\\"percentile_measure\\\"\\n FROM \\\"ranked\\\"\\n WHERE \\\"cd\\\" >= 0.9\\n GROUP BY \\\"class\\\"\\n)\\nSELECT\\n \\\"class\\\",\\n \\\"percentile_measure\\\"\\nFROM \\\"percentiles\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"class\", \"percentile_measure\"], \"rows\": [{\"class\": \"5\", \"percentile_measure\": 122.0}, {\"class\": \"2\", \"percentile_measure\": 74.0}, {\"class\": \"4\", \"percentile_measure\": 74.0}, {\"class\": \"6\", \"percentile_measure\": 54.0}, {\"class\": \"3\", \"percentile_measure\": 48.0}, {\"class\": \"1\", \"percentile_measure\": 18.0}, {\"class\": \"7\", \"percentile_measure\": 16.0}], \"row_count_returned\": 7, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 20.14}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_69f4b49ffe6d06a3/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_69f4b49ffe6d06a3/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..f187fd1bb93127370528a820bb23e83c4166a02c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_69f4b49ffe6d06a3/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "n17", + "started_at": "2026-05-19T15:54:04.437246+00:00", + "ended_at": "2026-05-19T15:54:17.388049+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n17_69f4b49ffe6d06a3", + "problem_id": "v2p_n17_8ffb53adf4901747", + "dataset_id": "n17", + "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=class, measure_col=attribute9.", + "bindings": { + "group_col": "class", + "measure_col": "attribute9", + "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": 14.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=1/2", + "binding_index=89" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_69f4b49ffe6d06a3.sql", + "usage_summary": { + "dataset_id": "n17", + "model": "v2-cli:codex", + "run_id": "v2q_n17_69f4b49ffe6d06a3", + "api_calls": 0, + "input_tokens": 14067, + "cached_input_tokens": 13696, + "output_tokens": 696, + "total_tokens": 14763, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12926.02, + "sql_execution_elapsed_ms_total": 20.14, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_69f4b49ffe6d06a3/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_69f4b49ffe6d06a3/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_69f4b49ffe6d06a3/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..66dd048afd08846aff51cdb00401321dd7259771 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_69f4b49ffe6d06a3/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:54:17.365213+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": 12926.02, "started_at": "2026-05-19T15:54:04.438285+00:00", "ended_at": "2026-05-19T15:54:17.364328+00:00", "prompt_metrics": {"chars": 6828, "bytes_utf8": 6828, "lines": 216, "estimated_tokens": null}, "response_metrics": {"chars": 933, "bytes_utf8": 933, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14067, "cached_input_tokens": 13696, "output_tokens": 696, "reasoning_output_tokens": 434}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"class\\\",\\n CAST(\\\"attribute9\\\" AS REAL) AS \\\"attribute9_num\\\",\\n CUME_DIST() OVER (\\n PARTITION BY \\\"class\\\"\\n ORDER BY CAST(\\\"attribute9\\\" AS REAL)\\n ) AS \\\"cd\\\"\\n FROM \\\"n17\\\"\\n WHERE \\\"class\\\" IS NOT NULL\\n AND \\\"attribute9\\\" IS NOT NULL\\n),\\n\\\"percentiles\\\" AS (\\n SELECT\\n \\\"class\\\",\\n MIN(\\\"attribute9_num\\\") AS \\\"percentile_measure\\\"\\n FROM \\\"ranked\\\"\\n WHERE \\\"cd\\\" >= 0.9\\n GROUP BY \\\"class\\\"\\n)\\nSELECT\\n \\\"class\\\",\\n \\\"percentile_measure\\\"\\nFROM \\\"percentiles\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this uses a SQLite-compatible percentile-point substitute: the smallest numeric \\\"attribute9\\\" value within each \\\"class\\\" whose cumulative distribution reaches at least 0.9. \\\"attribute9\\\" is CAST from TEXT to REAL for numeric ordering.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_69f4b49ffe6d06a3/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_69f4b49ffe6d06a3/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..f0ff7b614c20609dd9a0de63617c885c649b4e4f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_69f4b49ffe6d06a3/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n17", + "model": "v2-cli:codex", + "run_id": "v2q_n17_69f4b49ffe6d06a3", + "api_calls": 0, + "input_tokens": 14067, + "cached_input_tokens": 13696, + "output_tokens": 696, + "total_tokens": 14763, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12926.02, + "sql_execution_elapsed_ms_total": 20.14, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_69f4b49ffe6d06a3/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_71b16d830250a58f/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_71b16d830250a58f/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..da24a2a7abf5a3a248f566855990473a300fd1bd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_71b16d830250a58f/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=attribute9, measure_col=attribute8. +Result preview: [{"attribute9": "126", "percentile_measure": 130.7}, {"attribute9": "124", "percentile_measure": 128.0}, {"attribute9": "122", "percentile_measure": 127.0}, {"attribute9": "100", "percentile_measure": 126.0}, {"attribute9": "120", "percentile_measure": 125.0}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_71b16d830250a58f/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_71b16d830250a58f/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..c8f4169717ea0f3e38c0c5a40784cf409e727d72 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_71b16d830250a58f/generated_sql.sql @@ -0,0 +1,66 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_71b16d830250a58f +-- problem_id: v2p_n17_8a9de6d7b60f1501 +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "attribute9", + CAST("attribute8" AS REAL) AS "measure", + ROW_NUMBER() OVER ( + PARTITION BY "attribute9" + ORDER BY CAST("attribute8" AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "attribute9" + ) AS "cnt" + FROM "n17" + WHERE "attribute9" IS NOT NULL + AND "attribute8" IS NOT NULL +), +"positions" AS ( + SELECT DISTINCT + "attribute9", + "cnt", + (1.0 + ("cnt" - 1) * 0.9) AS "pos", + CAST(1.0 + ("cnt" - 1) * 0.9 AS INTEGER) AS "lower_rn", + CASE + WHEN (1.0 + ("cnt" - 1) * 0.9) = CAST(1.0 + ("cnt" - 1) * 0.9 AS INTEGER) + THEN CAST(1.0 + ("cnt" - 1) * 0.9 AS INTEGER) + ELSE CAST(1.0 + ("cnt" - 1) * 0.9 AS INTEGER) + 1 + END AS "upper_rn" + FROM "ranked" +), +"picked" AS ( + SELECT + "r"."attribute9", + "p"."pos", + "p"."lower_rn", + "p"."upper_rn", + MAX(CASE WHEN "r"."rn" = "p"."lower_rn" THEN "r"."measure" END) AS "lower_val", + MAX(CASE WHEN "r"."rn" = "p"."upper_rn" THEN "r"."measure" END) AS "upper_val" + FROM "ranked" AS "r" + JOIN "positions" AS "p" + ON "r"."attribute9" = "p"."attribute9" + GROUP BY + "r"."attribute9", + "p"."pos", + "p"."lower_rn", + "p"."upper_rn" +) +SELECT + "attribute9", + CASE + WHEN "lower_rn" = "upper_rn" THEN "lower_val" + ELSE "lower_val" + ("pos" - "lower_rn") * ("upper_val" - "lower_val") + END AS "percentile_measure" +FROM "picked" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_71b16d830250a58f/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_71b16d830250a58f/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..81b3f47f87831f4a229d4d007fb2538969ea9cba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_71b16d830250a58f/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 2, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n \"attribute9\",\n CAST(\"attribute8\" AS REAL) AS \"measure\",\n ROW_NUMBER() OVER (\n PARTITION BY \"attribute9\"\n ORDER BY CAST(\"attribute8\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"attribute9\"\n ) AS \"cnt\"\n FROM \"n17\"\n WHERE \"attribute9\" IS NOT NULL\n AND \"attribute8\" IS NOT NULL\n),\n\"positions\" AS (\n SELECT DISTINCT\n \"attribute9\",\n \"cnt\",\n (1.0 + (\"cnt\" - 1) * 0.9) AS \"pos\",\n CAST(1.0 + (\"cnt\" - 1) * 0.9 AS INTEGER) AS \"lower_rn\",\n CASE\n WHEN (1.0 + (\"cnt\" - 1) * 0.9) = CAST(1.0 + (\"cnt\" - 1) * 0.9 AS INTEGER)\n THEN CAST(1.0 + (\"cnt\" - 1) * 0.9 AS INTEGER)\n ELSE CAST(1.0 + (\"cnt\" - 1) * 0.9 AS INTEGER) + 1\n END AS \"upper_rn\"\n FROM \"ranked\"\n),\n\"picked\" AS (\n SELECT\n \"r\".\"attribute9\",\n \"p\".\"pos\",\n \"p\".\"lower_rn\",\n \"p\".\"upper_rn\",\n MAX(CASE WHEN \"r\".\"rn\" = \"p\".\"lower_rn\" THEN \"r\".\"measure\" END) AS \"lower_val\",\n MAX(CASE WHEN \"r\".\"rn\" = \"p\".\"upper_rn\" THEN \"r\".\"measure\" END) AS \"upper_val\"\n FROM \"ranked\" AS \"r\"\n JOIN \"positions\" AS \"p\"\n ON \"r\".\"attribute9\" = \"p\".\"attribute9\"\n GROUP BY\n \"r\".\"attribute9\",\n \"p\".\"pos\",\n \"p\".\"lower_rn\",\n \"p\".\"upper_rn\"\n)\nSELECT\n \"attribute9\",\n CASE\n WHEN \"lower_rn\" = \"upper_rn\" THEN \"lower_val\"\n ELSE \"lower_val\" + (\"pos\" - \"lower_rn\") * (\"upper_val\" - \"lower_val\")\n END AS \"percentile_measure\"\nFROM \"picked\"\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"attribute9\\\",\\n CAST(\\\"attribute8\\\" AS REAL) AS \\\"measure\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"attribute9\\\"\\n ORDER BY CAST(\\\"attribute8\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"attribute9\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"n17\\\"\\n WHERE \\\"attribute9\\\" IS NOT NULL\\n AND \\\"attribute8\\\" IS NOT NULL\\n),\\n\\\"positions\\\" AS (\\n SELECT DISTINCT\\n \\\"attribute9\\\",\\n \\\"cnt\\\",\\n (1.0 + (\\\"cnt\\\" - 1) * 0.9) AS \\\"pos\\\",\\n CAST(1.0 + (\\\"cnt\\\" - 1) * 0.9 AS INTEGER) AS \\\"lower_rn\\\",\\n CASE\\n WHEN (1.0 + (\\\"cnt\\\" - 1) * 0.9) = CAST(1.0 + (\\\"cnt\\\" - 1) * 0.9 AS INTEGER)\\n THEN CAST(1.0 + (\\\"cnt\\\" - 1) * 0.9 AS INTEGER)\\n ELSE CAST(1.0 + (\\\"cnt\\\" - 1) * 0.9 AS INTEGER) + 1\\n END AS \\\"upper_rn\\\"\\n FROM \\\"ranked\\\"\\n),\\n\\\"picked\\\" AS (\\n SELECT\\n \\\"r\\\".\\\"attribute9\\\",\\n \\\"p\\\".\\\"pos\\\",\\n \\\"p\\\".\\\"lower_rn\\\",\\n \\\"p\\\".\\\"upper_rn\\\",\\n MAX(CASE WHEN \\\"r\\\".\\\"rn\\\" = \\\"p\\\".\\\"lower_rn\\\" THEN \\\"r\\\".\\\"measure\\\" END) AS \\\"lower_val\\\",\\n MAX(CASE WHEN \\\"r\\\".\\\"rn\\\" = \\\"p\\\".\\\"upper_rn\\\" THEN \\\"r\\\".\\\"measure\\\" END) AS \\\"upper_val\\\"\\n FROM \\\"ranked\\\" AS \\\"r\\\"\\n JOIN \\\"positions\\\" AS \\\"p\\\"\\n ON \\\"r\\\".\\\"attribute9\\\" = \\\"p\\\".\\\"attribute9\\\"\\n GROUP BY\\n \\\"r\\\".\\\"attribute9\\\",\\n \\\"p\\\".\\\"pos\\\",\\n \\\"p\\\".\\\"lower_rn\\\",\\n \\\"p\\\".\\\"upper_rn\\\"\\n)\\nSELECT\\n \\\"attribute9\\\",\\n CASE\\n WHEN \\\"lower_rn\\\" = \\\"upper_rn\\\" THEN \\\"lower_val\\\"\\n ELSE \\\"lower_val\\\" + (\\\"pos\\\" - \\\"lower_rn\\\") * (\\\"upper_val\\\" - \\\"lower_val\\\")\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"picked\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"attribute9\", \"percentile_measure\"], \"rows\": [{\"attribute9\": \"126\", \"percentile_measure\": 130.7}, {\"attribute9\": \"124\", \"percentile_measure\": 128.0}, {\"attribute9\": \"122\", \"percentile_measure\": 127.0}, {\"attribute9\": \"100\", \"percentile_measure\": 126.0}, {\"attribute9\": \"120\", \"percentile_measure\": 125.0}, {\"attribute9\": \"118\", \"percentile_measure\": 123.0}, {\"attribute9\": \"96\", \"percentile_measure\": 123.0}, {\"attribute9\": \"116\", \"percentile_measure\": 121.0}, {\"attribute9\": \"94\", \"percentile_measure\": 121.0}, {\"attribute9\": \"114\", \"percentile_measure\": 119.0}, {\"attribute9\": \"92\", \"percentile_measure\": 118.0}, {\"attribute9\": \"112\", \"percentile_measure\": 117.0}, {\"attribute9\": \"90\", \"percentile_measure\": 115.0}, {\"attribute9\": \"110\", \"percentile_measure\": 114.0}, {\"attribute9\": \"86\", \"percentile_measure\": 114.0}, {\"attribute9\": \"108\", \"percentile_measure\": 112.0}, {\"attribute9\": \"106\", \"percentile_measure\": 111.0}, {\"attribute9\": \"104\", \"percentile_measure\": 109.0}, {\"attribute9\": \"82\", \"percentile_measure\": 108.0}, {\"attribute9\": \"84\", \"percentile_measure\": 106.0}, {\"attribute9\": \"102\", \"percentile_measure\": 105.0}, {\"attribute9\": \"78\", \"percentile_measure\": 105.0}, {\"attribute9\": \"80\", \"percentile_measure\": 104.2}, {\"attribute9\": \"76\", \"percentile_measure\": 103.0}, {\"attribute9\": \"98\", \"percentile_measure\": 103.0}, {\"attribute9\": \"60\", \"percentile_measure\": 101.0}, {\"attribute9\": \"64\", \"percentile_measure\": 99.0}, {\"attribute9\": \"74\", \"percentile_measure\": 99.0}, {\"attribute9\": \"58\", \"percentile_measure\": 97.10000000000001}, {\"attribute9\": \"70\", \"percentile_measure\": 97.0}, {\"attribute9\": \"72\", \"percentile_measure\": 97.0}, {\"attribute9\": \"62\", \"percentile_measure\": 96.0}, {\"attribute9\": \"54\", \"percentile_measure\": 95.1}, {\"attribute9\": \"68\", \"percentile_measure\": 95.0}, {\"attribute9\": \"52\", \"percentile_measure\": 92.0}, {\"attribute9\": \"56\", \"percentile_measure\": 92.0}, {\"attribute9\": \"66\", \"percentile_measure\": 92.0}, {\"attribute9\": \"88\", \"percentile_measure\": 92.0}, {\"attribute9\": \"50\", \"percentile_measure\": 90.0}, {\"attribute9\": \"42\", \"percentile_measure\": 88.0}, {\"attribute9\": \"46\", \"percentile_measure\": 87.0}, {\"attribute9\": \"18\", \"percentile_measure\": 86.0}, {\"attribute9\": \"20\", \"percentile_measure\": 86.0}, {\"attribute9\": \"44\", \"percentile_measure\": 86.0}, {\"attribute9\": \"22\", \"percentile_measure\": 85.90000000000012}, {\"attribute9\": \"30\", \"percentile_measure\": 85.4}, {\"attribute9\": \"32\", \"percentile_measure\": 85.0}, {\"attribute9\": \"40\", \"percentile_measure\": 85.0}, {\"attribute9\": \"26\", \"percentile_measure\": 84.0}, {\"attribute9\": \"28\", \"percentile_measure\": 84.0}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 81.79}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_71b16d830250a58f/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_71b16d830250a58f/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..0fa1c3b75b9674201a80e97ebf60653789bdbe4d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_71b16d830250a58f/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "n17", + "started_at": "2026-05-19T15:53:31.825290+00:00", + "ended_at": "2026-05-19T15:54:04.436693+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n17_71b16d830250a58f", + "problem_id": "v2p_n17_8a9de6d7b60f1501", + "dataset_id": "n17", + "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=attribute9, measure_col=attribute8.", + "bindings": { + "group_col": "attribute9", + "measure_col": "attribute8", + "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": 51.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=2/2", + "binding_index=88" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 5, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_71b16d830250a58f.sql", + "usage_summary": { + "dataset_id": "n17", + "model": "v2-cli:codex", + "run_id": "v2q_n17_71b16d830250a58f", + "api_calls": 0, + "input_tokens": 14069, + "cached_input_tokens": 12672, + "output_tokens": 2155, + "total_tokens": 16224, + "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": 31522.5, + "sql_execution_elapsed_ms_total": 81.79, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_71b16d830250a58f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_71b16d830250a58f/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_71b16d830250a58f/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..21ccef1a227d9c182fccce239deadf2bab322a81 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_71b16d830250a58f/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:53:35.323352+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": 3495.81, "started_at": "2026-05-19T15:53:31.826780+00:00", "ended_at": "2026-05-19T15:53:35.322614+00:00", "prompt_metrics": {"chars": 6840, "bytes_utf8": 6840, "lines": 216, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f1-3cd5-7c01-9bb2-f5fa4764d097\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T15:54:04.352600+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": 28026.69, "started_at": "2026-05-19T15:53:36.324144+00:00", "ended_at": "2026-05-19T15:54:04.350874+00:00", "prompt_metrics": {"chars": 6840, "bytes_utf8": 6840, "lines": 216, "estimated_tokens": null}, "response_metrics": {"chars": 1897, "bytes_utf8": 1897, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14069, "cached_input_tokens": 12672, "output_tokens": 2155, "reasoning_output_tokens": 1496}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"attribute9\\\",\\n CAST(\\\"attribute8\\\" AS REAL) AS \\\"measure\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"attribute9\\\"\\n ORDER BY CAST(\\\"attribute8\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"attribute9\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"n17\\\"\\n WHERE \\\"attribute9\\\" IS NOT NULL\\n AND \\\"attribute8\\\" IS NOT NULL\\n),\\n\\\"positions\\\" AS (\\n SELECT DISTINCT\\n \\\"attribute9\\\",\\n \\\"cnt\\\",\\n (1.0 + (\\\"cnt\\\" - 1) * 0.9) AS \\\"pos\\\",\\n CAST(1.0 + (\\\"cnt\\\" - 1) * 0.9 AS INTEGER) AS \\\"lower_rn\\\",\\n CASE\\n WHEN (1.0 + (\\\"cnt\\\" - 1) * 0.9) = CAST(1.0 + (\\\"cnt\\\" - 1) * 0.9 AS INTEGER)\\n THEN CAST(1.0 + (\\\"cnt\\\" - 1) * 0.9 AS INTEGER)\\n ELSE CAST(1.0 + (\\\"cnt\\\" - 1) * 0.9 AS INTEGER) + 1\\n END AS \\\"upper_rn\\\"\\n FROM \\\"ranked\\\"\\n),\\n\\\"picked\\\" AS (\\n SELECT\\n \\\"r\\\".\\\"attribute9\\\",\\n \\\"p\\\".\\\"pos\\\",\\n \\\"p\\\".\\\"lower_rn\\\",\\n \\\"p\\\".\\\""} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_71b16d830250a58f/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_71b16d830250a58f/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..0ee00e62e0e3ab949f125ba1e1911209e5c5c126 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_71b16d830250a58f/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n17", + "model": "v2-cli:codex", + "run_id": "v2q_n17_71b16d830250a58f", + "api_calls": 0, + "input_tokens": 14069, + "cached_input_tokens": 12672, + "output_tokens": 2155, + "total_tokens": 16224, + "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": 31522.5, + "sql_execution_elapsed_ms_total": 81.79, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_71b16d830250a58f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_72798ea6aabad9ff/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_72798ea6aabad9ff/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..07d7550584c115ffdb4e7aad1d5a0be7423789d7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_72798ea6aabad9ff/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=attribute4, condition_col=class. +Result preview: [{"attribute4": "-22", "condition_rate": 1.0}, {"attribute4": "-21", "condition_rate": 1.0}, {"attribute4": "-16", "condition_rate": 1.0}, {"attribute4": "11", "condition_rate": 0.6666666666666666}, {"attribute4": "-13", "condition_rate": 0.6666666666666666}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_72798ea6aabad9ff/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_72798ea6aabad9ff/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..06ed4484176da096a9f9d44573b3ae18248f0367 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_72798ea6aabad9ff/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_72798ea6aabad9ff +-- problem_id: v2p_n17_cbad7a6fbe3b060e +-- realization_mode: agent +-- source_kind: agent +SELECT "attribute4", + AVG(CASE WHEN "class" = '4' THEN 1 ELSE 0 END) AS condition_rate +FROM "n17" +GROUP BY "attribute4" +ORDER BY condition_rate DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_72798ea6aabad9ff/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_72798ea6aabad9ff/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d477115321083163c7fd98bcc0648bd1186b8955 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_72798ea6aabad9ff/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 \"attribute4\",\n AVG(CASE WHEN \"class\" = '4' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"n17\"\nGROUP BY \"attribute4\"\nORDER BY condition_rate DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"attribute4\\\",\\n AVG(CASE WHEN \\\"class\\\" = '4' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"n17\\\"\\nGROUP BY \\\"attribute4\\\"\\nORDER BY condition_rate DESC;\", \"columns\": [\"attribute4\", \"condition_rate\"], \"rows\": [{\"attribute4\": \"-22\", \"condition_rate\": 1.0}, {\"attribute4\": \"-21\", \"condition_rate\": 1.0}, {\"attribute4\": \"-16\", \"condition_rate\": 1.0}, {\"attribute4\": \"11\", \"condition_rate\": 0.6666666666666666}, {\"attribute4\": \"-13\", \"condition_rate\": 0.6666666666666666}, {\"attribute4\": \"13\", \"condition_rate\": 0.5714285714285714}, {\"attribute4\": \"17\", \"condition_rate\": 0.5}, {\"attribute4\": \"-18\", \"condition_rate\": 0.5}, {\"attribute4\": \"-17\", \"condition_rate\": 0.5}, {\"attribute4\": \"-12\", \"condition_rate\": 0.5}, {\"attribute4\": \"-10\", \"condition_rate\": 0.5}, {\"attribute4\": \"10\", \"condition_rate\": 0.4}, {\"attribute4\": \"9\", \"condition_rate\": 0.3333333333333333}, {\"attribute4\": \"12\", \"condition_rate\": 0.3333333333333333}, {\"attribute4\": \"-8\", \"condition_rate\": 0.2}, {\"attribute4\": \"2\", \"condition_rate\": 0.1590909090909091}, {\"attribute4\": \"7\", \"condition_rate\": 0.15702479338842976}, {\"attribute4\": \"0\", \"condition_rate\": 0.15598245980371686}, {\"attribute4\": \"4\", \"condition_rate\": 0.14624505928853754}, {\"attribute4\": \"-2\", \"condition_rate\": 0.14342629482071714}, {\"attribute4\": \"-4\", \"condition_rate\": 0.13805970149253732}, {\"attribute4\": \"1\", \"condition_rate\": 0.13357400722021662}, {\"attribute4\": \"-3\", \"condition_rate\": 0.12886597938144329}, {\"attribute4\": \"-1\", \"condition_rate\": 0.12635869565217392}, {\"attribute4\": \"5\", \"condition_rate\": 0.1220472440944882}, {\"attribute4\": \"-7\", \"condition_rate\": 0.12121212121212122}, {\"attribute4\": \"-5\", \"condition_rate\": 0.11917098445595854}, {\"attribute4\": \"6\", \"condition_rate\": 0.11790393013100436}, {\"attribute4\": \"3\", \"condition_rate\": 0.11688311688311688}, {\"attribute4\": \"-6\", \"condition_rate\": 0.11282051282051282}, {\"attribute4\": \"8\", \"condition_rate\": 0.10052910052910052}, {\"attribute4\": \"83\", \"condition_rate\": 0.0}, {\"attribute4\": \"737\", \"condition_rate\": 0.0}, {\"attribute4\": \"57\", \"condition_rate\": 0.0}, {\"attribute4\": \"53\", \"condition_rate\": 0.0}, {\"attribute4\": \"50\", \"condition_rate\": 0.0}, {\"attribute4\": \"46\", \"condition_rate\": 0.0}, {\"attribute4\": \"343\", \"condition_rate\": 0.0}, {\"attribute4\": \"300\", \"condition_rate\": 0.0}, {\"attribute4\": \"27\", \"condition_rate\": 0.0}, {\"attribute4\": \"26\", \"condition_rate\": 0.0}, {\"attribute4\": \"258\", \"condition_rate\": 0.0}, {\"attribute4\": \"21\", \"condition_rate\": 0.0}, {\"attribute4\": \"20\", \"condition_rate\": 0.0}, {\"attribute4\": \"1751\", \"condition_rate\": 0.0}, {\"attribute4\": \"15\", \"condition_rate\": 0.0}, {\"attribute4\": \"14\", \"condition_rate\": 0.0}, {\"attribute4\": \"111\", \"condition_rate\": 0.0}, {\"attribute4\": \"-96\", \"condition_rate\": 0.0}, {\"attribute4\": \"-9\", \"condition_rate\": 0.0}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 7.81}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_72798ea6aabad9ff/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_72798ea6aabad9ff/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..c4626b71c0f80361adf8d2c1ce88c7e259e598e7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_72798ea6aabad9ff/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "n17", + "started_at": "2026-05-19T15:59:24.334780+00:00", + "ended_at": "2026-05-19T15:59:40.615548+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n17_72798ea6aabad9ff", + "problem_id": "v2p_n17_cbad7a6fbe3b060e", + "dataset_id": "n17", + "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=attribute4, condition_col=class.", + "bindings": { + "group_col": "attribute4", + "condition_col": "class", + "condition_value": "4", + "positive_value": "1", + "negative_value": "4", + "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": 46.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=8", + "sql_variant_index=2/2", + "binding_index=103" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 8, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_72798ea6aabad9ff.sql", + "usage_summary": { + "dataset_id": "n17", + "model": "v2-cli:codex", + "run_id": "v2q_n17_72798ea6aabad9ff", + "api_calls": 0, + "input_tokens": 14091, + "cached_input_tokens": 13696, + "output_tokens": 349, + "total_tokens": 14440, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 16269.23, + "sql_execution_elapsed_ms_total": 7.81, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_72798ea6aabad9ff/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_72798ea6aabad9ff/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_72798ea6aabad9ff/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7641bb673abd3528ad5b6535226a17dbe56d21fa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_72798ea6aabad9ff/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:59:40.605928+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": 16269.23, "started_at": "2026-05-19T15:59:24.335778+00:00", "ended_at": "2026-05-19T15:59:40.605029+00:00", "prompt_metrics": {"chars": 6894, "bytes_utf8": 6894, "lines": 219, "estimated_tokens": null}, "response_metrics": {"chars": 400, "bytes_utf8": 400, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14091, "cached_input_tokens": 13696, "output_tokens": 349, "reasoning_output_tokens": 241}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"attribute4\\\",\\n AVG(CASE WHEN \\\"class\\\" = '4' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"n17\\\"\\nGROUP BY \\\"attribute4\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Applied the Grouped Condition Rate template with group_col=\\\"attribute4\\\" and condition_col=\\\"class\\\", using condition_value '4' as a TEXT literal to match the schema.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_72798ea6aabad9ff/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_72798ea6aabad9ff/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..4fe92c12cb59d5add17965ef452c82eb15e6a002 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_72798ea6aabad9ff/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n17", + "model": "v2-cli:codex", + "run_id": "v2q_n17_72798ea6aabad9ff", + "api_calls": 0, + "input_tokens": 14091, + "cached_input_tokens": 13696, + "output_tokens": 349, + "total_tokens": 14440, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 16269.23, + "sql_execution_elapsed_ms_total": 7.81, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_72798ea6aabad9ff/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_7438a52b7f1325ab/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_7438a52b7f1325ab/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..9ca321fc8c0188da9cf231d23804da7035a081a9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_7438a52b7f1325ab/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=attribute3, measure_col=attribute3. +Result preview: [{"attribute3": "118", "percentile_measure": 118.0}, {"attribute3": "113", "percentile_measure": 113.0}, {"attribute3": "112", "percentile_measure": 112.0}, {"attribute3": "111", "percentile_measure": 111.0}, {"attribute3": "110", "percentile_measure": 110.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_7438a52b7f1325ab/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_7438a52b7f1325ab/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..1acc36e4153fd18321eb5c0b7c6d1bd676db037b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_7438a52b7f1325ab/generated_sql.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_7438a52b7f1325ab +-- problem_id: v2p_n17_270e3e9ece5438fc +-- realization_mode: agent +-- source_kind: agent +SELECT + "attribute3", + CAST("attribute3" AS REAL) AS percentile_measure +FROM "n17" +GROUP BY "attribute3" +ORDER BY percentile_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_7438a52b7f1325ab/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_7438a52b7f1325ab/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6fd6535715458c2bad5952da579d5d816c38385b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_7438a52b7f1325ab/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\nSELECT\n \"attribute3\",\n CAST(\"attribute3\" AS REAL) AS percentile_measure\nFROM \"n17\"\nGROUP BY \"attribute3\"\nORDER BY percentile_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nSELECT\\n \\\"attribute3\\\",\\n CAST(\\\"attribute3\\\" AS REAL) AS percentile_measure\\nFROM \\\"n17\\\"\\nGROUP BY \\\"attribute3\\\"\\nORDER BY percentile_measure DESC;\", \"columns\": [\"attribute3\", \"percentile_measure\"], \"rows\": [{\"attribute3\": \"118\", \"percentile_measure\": 118.0}, {\"attribute3\": \"113\", \"percentile_measure\": 113.0}, {\"attribute3\": \"112\", \"percentile_measure\": 112.0}, {\"attribute3\": \"111\", \"percentile_measure\": 111.0}, {\"attribute3\": \"110\", \"percentile_measure\": 110.0}, {\"attribute3\": \"109\", \"percentile_measure\": 109.0}, {\"attribute3\": \"108\", \"percentile_measure\": 108.0}, {\"attribute3\": \"107\", \"percentile_measure\": 107.0}, {\"attribute3\": \"106\", \"percentile_measure\": 106.0}, {\"attribute3\": \"105\", \"percentile_measure\": 105.0}, {\"attribute3\": \"104\", \"percentile_measure\": 104.0}, {\"attribute3\": \"103\", \"percentile_measure\": 103.0}, {\"attribute3\": \"102\", \"percentile_measure\": 102.0}, {\"attribute3\": \"101\", \"percentile_measure\": 101.0}, {\"attribute3\": \"100\", \"percentile_measure\": 100.0}, {\"attribute3\": \"99\", \"percentile_measure\": 99.0}, {\"attribute3\": \"98\", \"percentile_measure\": 98.0}, {\"attribute3\": \"97\", \"percentile_measure\": 97.0}, {\"attribute3\": \"96\", \"percentile_measure\": 96.0}, {\"attribute3\": \"95\", \"percentile_measure\": 95.0}, {\"attribute3\": \"94\", \"percentile_measure\": 94.0}, {\"attribute3\": \"93\", \"percentile_measure\": 93.0}, {\"attribute3\": \"92\", \"percentile_measure\": 92.0}, {\"attribute3\": \"91\", \"percentile_measure\": 91.0}, {\"attribute3\": \"90\", \"percentile_measure\": 90.0}, {\"attribute3\": \"89\", \"percentile_measure\": 89.0}, {\"attribute3\": \"88\", \"percentile_measure\": 88.0}, {\"attribute3\": \"87\", \"percentile_measure\": 87.0}, {\"attribute3\": \"86\", \"percentile_measure\": 86.0}, {\"attribute3\": \"85\", \"percentile_measure\": 85.0}, {\"attribute3\": \"84\", \"percentile_measure\": 84.0}, {\"attribute3\": \"83\", \"percentile_measure\": 83.0}, {\"attribute3\": \"82\", \"percentile_measure\": 82.0}, {\"attribute3\": \"81\", \"percentile_measure\": 81.0}, {\"attribute3\": \"80\", \"percentile_measure\": 80.0}, {\"attribute3\": \"79\", \"percentile_measure\": 79.0}, {\"attribute3\": \"78\", \"percentile_measure\": 78.0}, {\"attribute3\": \"77\", \"percentile_measure\": 77.0}, {\"attribute3\": \"76\", \"percentile_measure\": 76.0}, {\"attribute3\": \"75\", \"percentile_measure\": 75.0}, {\"attribute3\": \"74\", \"percentile_measure\": 74.0}, {\"attribute3\": \"73\", \"percentile_measure\": 73.0}, {\"attribute3\": \"72\", \"percentile_measure\": 72.0}, {\"attribute3\": \"71\", \"percentile_measure\": 71.0}, {\"attribute3\": \"64\", \"percentile_measure\": 64.0}, {\"attribute3\": \"40\", \"percentile_measure\": 40.0}], \"row_count_returned\": 46, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 5.21}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_7438a52b7f1325ab/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_7438a52b7f1325ab/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..8c9af3f8da4c81712e190a5cfc03fbda22313091 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_7438a52b7f1325ab/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "n17", + "started_at": "2026-05-19T15:55:54.110982+00:00", + "ended_at": "2026-05-19T15:56:11.889106+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n17_7438a52b7f1325ab", + "problem_id": "v2p_n17_270e3e9ece5438fc", + "dataset_id": "n17", + "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=attribute3, measure_col=attribute3.", + "bindings": { + "group_col": "attribute3", + "measure_col": "attribute3", + "top_k": 12, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 89.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=9", + "sql_variant_index=1/2", + "binding_index=92" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_7438a52b7f1325ab.sql", + "usage_summary": { + "dataset_id": "n17", + "model": "v2-cli:codex", + "run_id": "v2q_n17_7438a52b7f1325ab", + "api_calls": 0, + "input_tokens": 14069, + "cached_input_tokens": 12032, + "output_tokens": 625, + "total_tokens": 14694, + "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": 16767.55, + "sql_execution_elapsed_ms_total": 5.21, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_7438a52b7f1325ab/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_7438a52b7f1325ab/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_7438a52b7f1325ab/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..086509fb5271c78e8018e2fc261f9ca61b9dd719 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_7438a52b7f1325ab/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:55:56.835370+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": 2722.23, "started_at": "2026-05-19T15:55:54.112297+00:00", "ended_at": "2026-05-19T15:55:56.834557+00:00", "prompt_metrics": {"chars": 6840, "bytes_utf8": 6840, "lines": 216, "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\":\"019e40f3-687e-7060-971c-4649ae5b40dc\"}\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": "2026-05-19T15:56:11.882452+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": 14045.32, "started_at": "2026-05-19T15:55:57.836313+00:00", "ended_at": "2026-05-19T15:56:11.881669+00:00", "prompt_metrics": {"chars": 6840, "bytes_utf8": 6840, "lines": 216, "estimated_tokens": null}, "response_metrics": {"chars": 447, "bytes_utf8": 447, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14069, "cached_input_tokens": 12032, "output_tokens": 625, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nSELECT\\n \\\"attribute3\\\",\\n CAST(\\\"attribute3\\\" AS REAL) AS percentile_measure\\nFROM \\\"n17\\\"\\nGROUP BY \\\"attribute3\\\"\\nORDER BY percentile_measure DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT. Because the grouping column and measure column are both \\\"attribute3\\\", each group contains a single measure value, so the 95th percentile within each group is that grouped value itself.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_7438a52b7f1325ab/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_7438a52b7f1325ab/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..75a207b4a529673969489b836cbcbab3b64fb81c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_7438a52b7f1325ab/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n17", + "model": "v2-cli:codex", + "run_id": "v2q_n17_7438a52b7f1325ab", + "api_calls": 0, + "input_tokens": 14069, + "cached_input_tokens": 12032, + "output_tokens": 625, + "total_tokens": 14694, + "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": 16767.55, + "sql_execution_elapsed_ms_total": 5.21, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_7438a52b7f1325ab/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_8878b52a79082ae2/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_8878b52a79082ae2/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..8effcb55ba0959ea45e6877c5488cdee0d2017ca --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_8878b52a79082ae2/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=attribute4, measure_col=attribute8. +Result preview: [{"attribute4": "12", "avg_measure": 92.33333333333333}, {"attribute4": "-13", "avg_measure": 91.33333333333333}, {"attribute4": "-273", "avg_measure": 88.0}, {"attribute4": "300", "avg_measure": 85.0}, {"attribute4": "53", "avg_measure": 85.0}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_8878b52a79082ae2/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_8878b52a79082ae2/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..83b4371b14cf39d5779502f13412b51ed1ce9732 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_8878b52a79082ae2/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_m4_window_partition_avg +-- query_record_id: v2q_n17_8878b52a79082ae2 +-- problem_id: v2p_n17_f98c750e374a20d5 +-- realization_mode: agent +-- source_kind: agent +SELECT DISTINCT "attribute4", + AVG(CAST("attribute8" AS REAL)) OVER (PARTITION BY "attribute4") AS avg_measure +FROM "n17" +ORDER BY avg_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_8878b52a79082ae2/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_8878b52a79082ae2/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..927734eed5566b21a184c645e1b213472d19bbff --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_8878b52a79082ae2/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_window_partition_avg\nSELECT DISTINCT \"attribute4\",\n AVG(CAST(\"attribute8\" AS REAL)) OVER (PARTITION BY \"attribute4\") AS avg_measure\nFROM \"n17\"\nORDER BY avg_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT \\\"attribute4\\\",\\n AVG(CAST(\\\"attribute8\\\" AS REAL)) OVER (PARTITION BY \\\"attribute4\\\") AS avg_measure\\nFROM \\\"n17\\\"\\nORDER BY avg_measure DESC;\", \"columns\": [\"attribute4\", \"avg_measure\"], \"rows\": [{\"attribute4\": \"12\", \"avg_measure\": 92.33333333333333}, {\"attribute4\": \"-13\", \"avg_measure\": 91.33333333333333}, {\"attribute4\": \"-273\", \"avg_measure\": 88.0}, {\"attribute4\": \"300\", \"avg_measure\": 85.0}, {\"attribute4\": \"53\", \"avg_measure\": 85.0}, {\"attribute4\": \"-14\", \"avg_measure\": 83.5}, {\"attribute4\": \"21\", \"avg_measure\": 81.0}, {\"attribute4\": \"15\", \"avg_measure\": 80.0}, {\"attribute4\": \"10\", \"avg_measure\": 79.8}, {\"attribute4\": \"-10\", \"avg_measure\": 79.5}, {\"attribute4\": \"-9\", \"avg_measure\": 79.5}, {\"attribute4\": \"9\", \"avg_measure\": 79.33333333333333}, {\"attribute4\": \"-21\", \"avg_measure\": 79.0}, {\"attribute4\": \"-22\", \"avg_measure\": 78.5}, {\"attribute4\": \"11\", \"avg_measure\": 78.33333333333333}, {\"attribute4\": \"-12\", \"avg_measure\": 76.75}, {\"attribute4\": \"-17\", \"avg_measure\": 76.5}, {\"attribute4\": \"-15\", \"avg_measure\": 76.0}, {\"attribute4\": \"-16\", \"avg_measure\": 76.0}, {\"attribute4\": \"13\", \"avg_measure\": 75.14285714285714}, {\"attribute4\": \"-362\", \"avg_measure\": 75.0}, {\"attribute4\": \"258\", \"avg_measure\": 72.0}, {\"attribute4\": \"50\", \"avg_measure\": 72.0}, {\"attribute4\": \"-8\", \"avg_measure\": 60.5}, {\"attribute4\": \"-11\", \"avg_measure\": 60.0}, {\"attribute4\": \"-18\", \"avg_measure\": 57.0}, {\"attribute4\": \"-36\", \"avg_measure\": 55.5}, {\"attribute4\": \"111\", \"avg_measure\": 55.0}, {\"attribute4\": \"17\", \"avg_measure\": 55.0}, {\"attribute4\": \"343\", \"avg_measure\": 55.0}, {\"attribute4\": \"46\", \"avg_measure\": 55.0}, {\"attribute4\": \"57\", \"avg_measure\": 55.0}, {\"attribute4\": \"737\", \"avg_measure\": 55.0}, {\"attribute4\": \"6\", \"avg_measure\": 54.2882096069869}, {\"attribute4\": \"5\", \"avg_measure\": 53.003937007874015}, {\"attribute4\": \"20\", \"avg_measure\": 53.0}, {\"attribute4\": \"26\", \"avg_measure\": 53.0}, {\"attribute4\": \"-2\", \"avg_measure\": 52.53386454183267}, {\"attribute4\": \"4\", \"avg_measure\": 51.12252964426877}, {\"attribute4\": \"1\", \"avg_measure\": 51.09747292418773}, {\"attribute4\": \"2\", \"avg_measure\": 51.06590909090909}, {\"attribute4\": \"8\", \"avg_measure\": 50.79365079365079}, {\"attribute4\": \"0\", \"avg_measure\": 50.69429943620798}, {\"attribute4\": \"3\", \"avg_measure\": 50.29220779220779}, {\"attribute4\": \"-1\", \"avg_measure\": 50.22554347826087}, {\"attribute4\": \"-4\", \"avg_measure\": 49.776119402985074}, {\"attribute4\": \"-7\", \"avg_measure\": 49.74747474747475}, {\"attribute4\": \"-3\", \"avg_measure\": 49.51030927835052}, {\"attribute4\": \"-6\", \"avg_measure\": 48.95897435897436}, {\"attribute4\": \"-5\", \"avg_measure\": 48.8860103626943}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 24.88}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_8878b52a79082ae2/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_8878b52a79082ae2/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..d454a8a90402ba70863ede082b793634bdd31ff4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_8878b52a79082ae2/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "n17", + "started_at": "2026-05-19T16:04:30.628913+00:00", + "ended_at": "2026-05-19T16:04:38.531866+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n17_8878b52a79082ae2", + "problem_id": "v2p_n17_f98c750e374a20d5", + "dataset_id": "n17", + "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=attribute4, measure_col=attribute8.", + "bindings": { + "group_col": "attribute4", + "measure_col": "attribute8", + "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": 60.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=1/2", + "binding_index=133" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_8878b52a79082ae2.sql", + "usage_summary": { + "dataset_id": "n17", + "model": "v2-cli:codex", + "run_id": "v2q_n17_8878b52a79082ae2", + "api_calls": 0, + "input_tokens": 14041, + "cached_input_tokens": 12032, + "output_tokens": 306, + "total_tokens": 14347, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 7874.3, + "sql_execution_elapsed_ms_total": 24.88, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_8878b52a79082ae2/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_8878b52a79082ae2/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_8878b52a79082ae2/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9fa3c9d1cacb5fd484e2f87c8c215fe55d6d73b4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_8878b52a79082ae2/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:04:38.505126+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": 7874.3, "started_at": "2026-05-19T16:04:30.629973+00:00", "ended_at": "2026-05-19T16:04:38.504299+00:00", "prompt_metrics": {"chars": 6742, "bytes_utf8": 6742, "lines": 216, "estimated_tokens": null}, "response_metrics": {"chars": 414, "bytes_utf8": 414, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14041, "cached_input_tokens": 12032, "output_tokens": 306, "reasoning_output_tokens": 201}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT \\\"attribute4\\\",\\n AVG(CAST(\\\"attribute8\\\" AS REAL)) OVER (PARTITION BY \\\"attribute4\\\") AS avg_measure\\nFROM \\\"n17\\\"\\nORDER BY avg_measure DESC;\",\"notes\":\"Applied the Window Partition Average template with group_col=\\\"attribute4\\\" and measure_col=\\\"attribute8\\\". Cast \\\"attribute8\\\" from TEXT to REAL so AVG behaves numerically in SQLite.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_8878b52a79082ae2/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_8878b52a79082ae2/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..d1260fc2d520348ec339d2ce820c8119c9382826 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_8878b52a79082ae2/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n17", + "model": "v2-cli:codex", + "run_id": "v2q_n17_8878b52a79082ae2", + "api_calls": 0, + "input_tokens": 14041, + "cached_input_tokens": 12032, + "output_tokens": 306, + "total_tokens": 14347, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 7874.3, + "sql_execution_elapsed_ms_total": 24.88, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_8878b52a79082ae2/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_98396265e833581a/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_98396265e833581a/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..532a3a53bc9de3b7fe9366d70b22626ff6b1297f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_98396265e833581a/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"attribute7": "40", "support": 1222, "avg_response": -1.3477905073649754}, {"attribute7": "41", "support": 1009, "avg_response": 0.2051536174430129}, {"attribute7": "42", "support": 856, "avg_response": 1.7605140186915889}, {"attribute7": "39", "support": 812, "avg_response": -4.359605911330049}, {"attribute7": "38", "support": 712, "avg_response": -2.813202247191011}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_98396265e833581a/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_98396265e833581a/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..d2a97a8eb6f7a577a0e574e36fea834be78da72a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_98396265e833581a/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_98396265e833581a +-- problem_id: v2p_n17_8ffde9b41383692e +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "attribute7", + COUNT(*) AS support, + AVG("attribute2") AS avg_response +FROM "n17" +GROUP BY "attribute7" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_98396265e833581a/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_98396265e833581a/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9b8b1437952a4b697160dfd2430b58e2e0adc081 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_98396265e833581a/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_d\n-- sql_source_dataset_id: n17\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_n17_98396265e833581a\n-- problem_id: v2p_n17_8ffde9b41383692e\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"attribute7\",\n COUNT(*) AS support,\n AVG(\"attribute2\") AS avg_response\nFROM \"n17\"\nGROUP BY \"attribute7\"\nHAVING COUNT(*) >= 5.0\nORDER BY support DESC, avg_response DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_d\\n-- sql_source_dataset_id: n17\\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_n17_98396265e833581a\\n-- problem_id: v2p_n17_8ffde9b41383692e\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"attribute7\\\",\\n COUNT(*) AS support,\\n AVG(\\\"attribute2\\\") AS avg_response\\nFROM \\\"n17\\\"\\nGROUP BY \\\"attribute7\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"attribute7\", \"support\", \"avg_response\"], \"rows\": [{\"attribute7\": \"40\", \"support\": 1222, \"avg_response\": -1.3477905073649754}, {\"attribute7\": \"41\", \"support\": 1009, \"avg_response\": 0.2051536174430129}, {\"attribute7\": \"42\", \"support\": 856, \"avg_response\": 1.7605140186915889}, {\"attribute7\": \"39\", \"support\": 812, \"avg_response\": -4.359605911330049}, {\"attribute7\": \"38\", \"support\": 712, \"avg_response\": -2.813202247191011}, {\"attribute7\": \"43\", \"support\": 660, \"avg_response\": -0.32272727272727275}, {\"attribute7\": \"37\", \"support\": 650, \"avg_response\": 0.5507692307692308}, {\"attribute7\": \"35\", \"support\": 507, \"avg_response\": 0.23471400394477318}, {\"attribute7\": \"36\", \"support\": 493, \"avg_response\": -0.4908722109533469}, {\"attribute7\": \"33\", \"support\": 430, \"avg_response\": 0.32325581395348835}, {\"attribute7\": \"34\", \"support\": 400, \"avg_response\": -0.1625}, {\"attribute7\": \"32\", \"support\": 385, \"avg_response\": -0.2909090909090909}, {\"attribute7\": \"4\", \"support\": 355, \"avg_response\": 0.3464788732394366}, {\"attribute7\": \"45\", \"support\": 328, \"avg_response\": 0.18902439024390244}, {\"attribute7\": \"31\", \"support\": 314, \"avg_response\": 0.16878980891719744}, {\"attribute7\": \"22\", \"support\": 314, \"avg_response\": -0.08598726114649681}, {\"attribute7\": \"44\", \"support\": 279, \"avg_response\": -2.3584229390681}, {\"attribute7\": \"30\", \"support\": 266, \"avg_response\": 0.07518796992481203}, {\"attribute7\": \"25\", \"support\": 263, \"avg_response\": 0.16730038022813687}, {\"attribute7\": \"46\", \"support\": 257, \"avg_response\": 0.1556420233463035}, {\"attribute7\": \"28\", \"support\": 252, \"avg_response\": -0.14682539682539683}, {\"attribute7\": \"23\", \"support\": 249, \"avg_response\": 0.22088353413654618}, {\"attribute7\": \"21\", \"support\": 235, \"avg_response\": -0.02127659574468085}, {\"attribute7\": \"29\", \"support\": 232, \"avg_response\": 0.3577586206896552}, {\"attribute7\": \"26\", \"support\": 229, \"avg_response\": 0.12663755458515283}, {\"attribute7\": \"1\", \"support\": 191, \"avg_response\": 0.387434554973822}, {\"attribute7\": \"47\", \"support\": 178, \"avg_response\": 0.0}, {\"attribute7\": \"27\", \"support\": 174, \"avg_response\": 0.40804597701149425}, {\"attribute7\": \"3\", \"support\": 173, \"avg_response\": 0.28901734104046245}, {\"attribute7\": \"69\", \"support\": 139, \"avg_response\": -13.81294964028777}, {\"attribute7\": \"24\", \"support\": 129, \"avg_response\": 20.186046511627907}, {\"attribute7\": \"67\", \"support\": 125, \"avg_response\": -0.128}, {\"attribute7\": \"58\", \"support\": 121, \"avg_response\": 0.11570247933884298}, {\"attribute7\": \"48\", \"support\": 115, \"avg_response\": -0.16521739130434782}, {\"attribute7\": \"68\", \"support\": 103, \"avg_response\": -27.74757281553398}, {\"attribute7\": \"57\", \"support\": 92, \"avg_response\": -0.11956521739130435}, {\"attribute7\": \"59\", \"support\": 91, \"avg_response\": -0.054945054945054944}, {\"attribute7\": \"66\", \"support\": 90, \"avg_response\": 0.2222222222222222}, {\"attribute7\": \"53\", \"support\": 83, \"avg_response\": -0.1686746987951807}, {\"attribute7\": \"60\", \"support\": 82, \"avg_response\": -0.06097560975609756}, {\"attribute7\": \"56\", \"support\": 76, \"avg_response\": 0.40789473684210525}, {\"attribute7\": \"52\", \"support\": 71, \"avg_response\": -0.323943661971831}, {\"attribute7\": \"55\", \"support\": 70, \"avg_response\": -0.3142857142857143}, {\"attribute7\": \"61\", \"support\": 65, \"avg_response\": -0.07692307692307693}, {\"attribute7\": \"49\", \"support\": 65, \"avg_response\": -0.13846153846153847}, {\"attribute7\": \"5\", \"support\": 60, \"avg_response\": -0.5333333333333333}, {\"attribute7\": \"54\", \"support\": 58, \"avg_response\": 0.22413793103448276}, {\"attribute7\": \"20\", \"support\": 57, \"avg_response\": 0.10526315789473684}, {\"attribute7\": \"62\", \"support\": 52, \"avg_response\": -1.0192307692307692}, {\"attribute7\": \"64\", \"support\": 51, \"avg_response\": -0.13725490196078433}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 7.42}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_98396265e833581a/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_98396265e833581a/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..a6ed4ea5e8cb0007d4f064c0cc107a008fe08e0e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_98396265e833581a/run_manifest.json @@ -0,0 +1,60 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "n17", + "started_at": "2026-05-19T16:06:55.917682+00:00", + "ended_at": "2026-05-19T16:06:55.925818+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n17_98396265e833581a", + "problem_id": "v2p_n17_8ffde9b41383692e", + "dataset_id": "n17", + "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=attribute2, key_col=attribute7.", + "bindings": { + "key_col": "attribute7", + "measure_col": "attribute2", + "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=9", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_98396265e833581a.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_98396265e833581a/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_98396265e833581a/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_98396265e833581a/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_b772a6bbb0a0a4d4/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_b772a6bbb0a0a4d4/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..77bdaa726ee5685a958032de841ddcd8f1f84e67 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_b772a6bbb0a0a4d4/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "0", "support": 5096, "support_share": 0.35144827586206895, "support_rank": 1}, {"value_label": "2", "support": 3716, "support_share": 0.2562758620689655, "support_rank": 2}, {"value_label": "4", "support": 427, "support_share": 0.029448275862068964, "support_rank": 3}, {"value_label": "6", "support": 420, "support_share": 0.028965517241379312, "support_rank": 4}, {"value_label": "8", "support": 412, "support_share": 0.028413793103448277, "support_rank": 5}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_b772a6bbb0a0a4d4/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_b772a6bbb0a0a4d4/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..cb3915e73c6c520df13a582731cbe49abc1066e1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_b772a6bbb0a0a4d4/generated_sql.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_b772a6bbb0a0a4d4 +-- problem_id: v2p_n17_21ecb73a7b966380 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "attribute9" AS value_label, COUNT(*) AS support + FROM "n17" + GROUP BY "attribute9" +) +SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank +FROM grouped +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_b772a6bbb0a0a4d4/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_b772a6bbb0a0a4d4/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8c71cfe52ba01c40dfe12a200bc8b8fb31432232 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_b772a6bbb0a0a4d4/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_d\n-- sql_source_dataset_id: n17\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_n17_b772a6bbb0a0a4d4\n-- problem_id: v2p_n17_21ecb73a7b966380\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"attribute9\" AS value_label, COUNT(*) AS support\n FROM \"n17\"\n GROUP BY \"attribute9\"\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_d\\n-- sql_source_dataset_id: n17\\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_n17_b772a6bbb0a0a4d4\\n-- problem_id: v2p_n17_21ecb73a7b966380\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"attribute9\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"n17\\\"\\n GROUP BY \\\"attribute9\\\"\\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\": 5096, \"support_share\": 0.35144827586206895, \"support_rank\": 1}, {\"value_label\": \"2\", \"support\": 3716, \"support_share\": 0.2562758620689655, \"support_rank\": 2}, {\"value_label\": \"4\", \"support\": 427, \"support_share\": 0.029448275862068964, \"support_rank\": 3}, {\"value_label\": \"6\", \"support\": 420, \"support_share\": 0.028965517241379312, \"support_rank\": 4}, {\"value_label\": \"8\", \"support\": 412, \"support_share\": 0.028413793103448277, \"support_rank\": 5}, {\"value_label\": \"14\", \"support\": 371, \"support_share\": 0.025586206896551725, \"support_rank\": 6}, {\"value_label\": \"12\", \"support\": 309, \"support_share\": 0.021310344827586206, \"support_rank\": 7}, {\"value_label\": \"16\", \"support\": 278, \"support_share\": 0.019172413793103447, \"support_rank\": 8}, {\"value_label\": \"10\", \"support\": 214, \"support_share\": 0.014758620689655172, \"support_rank\": 9}, {\"value_label\": \"32\", \"support\": 203, \"support_share\": 0.014, \"support_rank\": 10}, {\"value_label\": \"34\", \"support\": 197, \"support_share\": 0.013586206896551723, \"support_rank\": 11}, {\"value_label\": \"18\", \"support\": 174, \"support_share\": 0.012, \"support_rank\": 12}, {\"value_label\": \"30\", \"support\": 157, \"support_share\": 0.010827586206896552, \"support_rank\": 13}, {\"value_label\": \"22\", \"support\": 154, \"support_share\": 0.010620689655172414, \"support_rank\": 14}, {\"value_label\": \"24\", \"support\": 142, \"support_share\": 0.009793103448275862, \"support_rank\": 15}, {\"value_label\": \"40\", \"support\": 133, \"support_share\": 0.009172413793103448, \"support_rank\": 16}, {\"value_label\": \"26\", \"support\": 124, \"support_share\": 0.008551724137931035, \"support_rank\": 17}, {\"value_label\": \"36\", \"support\": 123, \"support_share\": 0.008482758620689656, \"support_rank\": 18}, {\"value_label\": \"28\", \"support\": 108, \"support_share\": 0.0074482758620689656, \"support_rank\": 19}, {\"value_label\": \"42\", \"support\": 102, \"support_share\": 0.00703448275862069, \"support_rank\": 20}, {\"value_label\": \"20\", \"support\": 83, \"support_share\": 0.005724137931034483, \"support_rank\": 21}, {\"value_label\": \"58\", \"support\": 74, \"support_share\": 0.005103448275862069, \"support_rank\": 22}, {\"value_label\": \"56\", \"support\": 66, \"support_share\": 0.004551724137931035, \"support_rank\": 23}, {\"value_label\": \"48\", \"support\": 63, \"support_share\": 0.004344827586206896, \"support_rank\": 24}, {\"value_label\": \"60\", \"support\": 63, \"support_share\": 0.004344827586206896, \"support_rank\": 25}, {\"value_label\": \"82\", \"support\": 62, \"support_share\": 0.004275862068965517, \"support_rank\": 26}, {\"value_label\": \"46\", \"support\": 61, \"support_share\": 0.004206896551724138, \"support_rank\": 27}, {\"value_label\": \"62\", \"support\": 57, \"support_share\": 0.00393103448275862, \"support_rank\": 28}, {\"value_label\": \"84\", \"support\": 57, \"support_share\": 0.00393103448275862, \"support_rank\": 29}, {\"value_label\": \"122\", \"support\": 54, \"support_share\": 0.0037241379310344828, \"support_rank\": 30}, {\"value_label\": \"66\", \"support\": 54, \"support_share\": 0.0037241379310344828, \"support_rank\": 31}, {\"value_label\": \"64\", \"support\": 52, \"support_share\": 0.003586206896551724, \"support_rank\": 32}, {\"value_label\": \"50\", \"support\": 51, \"support_share\": 0.003517241379310345, \"support_rank\": 33}, {\"value_label\": \"118\", \"support\": 49, \"support_share\": 0.003379310344827586, \"support_rank\": 34}, {\"value_label\": \"78\", \"support\": 49, \"support_share\": 0.003379310344827586, \"support_rank\": 35}, {\"value_label\": \"120\", \"support\": 48, \"support_share\": 0.003310344827586207, \"support_rank\": 36}, {\"value_label\": \"124\", \"support\": 46, \"support_share\": 0.003172413793103448, \"support_rank\": 37}, {\"value_label\": \"38\", \"support\": 46, \"support_share\": 0.003172413793103448, \"support_rank\": 38}, {\"value_label\": \"76\", \"support\": 45, \"support_share\": 0.003103448275862069, \"support_rank\": 39}, {\"value_label\": \"88\", \"support\": 44, \"support_share\": 0.0030344827586206895, \"support_rank\": 40}, {\"value_label\": \"74\", \"support\": 42, \"support_share\": 0.002896551724137931, \"support_rank\": 41}, {\"value_label\": \"86\", \"support\": 40, \"support_share\": 0.002758620689655172, \"support_rank\": 42}, {\"value_label\": \"80\", \"support\": 39, \"support_share\": 0.0026896551724137933, \"support_rank\": 43}, {\"value_label\": \"68\", \"support\": 36, \"support_share\": 0.0024827586206896553, \"support_rank\": 44}, {\"value_label\": \"96\", \"support\": 33, \"support_share\": 0.0022758620689655173, \"support_rank\": 45}, {\"value_label\": \"52\", \"support\": 29, \"support_share\": 0.002, \"support_rank\": 46}, {\"value_label\": \"72\", \"support\": 27, \"support_share\": 0.0018620689655172414, \"support_rank\": 47}, {\"value_label\": \"90\", \"support\": 26, \"support_share\": 0.001793103448275862, \"support_rank\": 48}, {\"value_label\": \"92\", \"support\": 23, \"support_share\": 0.001586206896551724, \"support_rank\": 49}, {\"value_label\": \"70\", \"support\": 22, \"support_share\": 0.0015172413793103448, \"support_rank\": 50}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 5.63}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_b772a6bbb0a0a4d4/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_b772a6bbb0a0a4d4/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..c932a9c1b966f1ed50c6ebd6229a7b7c7f80d86c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_b772a6bbb0a0a4d4/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "n17", + "started_at": "2026-05-19T16:06:55.842262+00:00", + "ended_at": "2026-05-19T16:06:55.848727+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n17_b772a6bbb0a0a4d4", + "problem_id": "v2p_n17_21ecb73a7b966380", + "dataset_id": "n17", + "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=attribute9.", + "bindings": { + "group_col": "attribute9" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=9", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_b772a6bbb0a0a4d4.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_b772a6bbb0a0a4d4/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_b772a6bbb0a0a4d4/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_b772a6bbb0a0a4d4/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_f4582882402c6590/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_f4582882402c6590/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..00a9a05c0ef5c4528e7841baed5aceb858bdfebf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_f4582882402c6590/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "n17", + "started_at": "2026-05-19T16:06:55.777675+00:00", + "ended_at": "2026-05-19T16:06:55.784010+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n17_f4582882402c6590", + "problem_id": "v2p_n17_3294e837c0c5b607", + "dataset_id": "n17", + "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=attribute9.", + "bindings": { + "group_col": "attribute9" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=9", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_f4582882402c6590.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_f4582882402c6590/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_f4582882402c6590/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_f4582882402c6590/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_0085f8b8f9686377.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_0085f8b8f9686377.sql new file mode 100644 index 0000000000000000000000000000000000000000..bc1c94baabaaf5e7d54f6dcd894aa1da9dd8ecb6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_0085f8b8f9686377.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_0085f8b8f9686377 +-- problem_id: v2p_n17_9ca10b1109341ba5 +-- realization_mode: agent +-- source_kind: agent +SELECT "class", "attribute4", + SUM(CAST("attribute3" AS REAL)) AS total_measure, + SUM(CAST("attribute3" AS REAL)) * 100.0 / SUM(SUM(CAST("attribute3" AS REAL))) OVER (PARTITION BY "class") AS share_within_group +FROM "n17" +GROUP BY "class", "attribute4" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_02b125eb23c4f8cb.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_02b125eb23c4f8cb.sql new file mode 100644 index 0000000000000000000000000000000000000000..b056e5379a4aa74e2933fc7dbd7cd9481ddd423e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_02b125eb23c4f8cb.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_02b125eb23c4f8cb +-- problem_id: v2p_n17_8de0254a5fc2c918 +-- realization_mode: agent +-- source_kind: agent +SELECT "attribute3", SUM(CAST("attribute3" AS REAL)) AS total_measure +FROM "n17" +GROUP BY "attribute3" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_05bbc3cf895255e0.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_05bbc3cf895255e0.sql new file mode 100644 index 0000000000000000000000000000000000000000..96462aabbdaf3db5b07bc41204538b317ddddde6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_05bbc3cf895255e0.sql @@ -0,0 +1,23 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_05bbc3cf895255e0 +-- problem_id: v2p_n17_e6df79e991a82fdc +-- realization_mode: agent +-- source_kind: agent +WITH buckets AS ( + SELECT + "attribute6", + NTILE(10) OVER (ORDER BY CAST("attribute6" AS REAL) DESC) AS tail_bucket + FROM "n17" +) +SELECT "attribute6" +FROM buckets +WHERE tail_bucket = 1 +ORDER BY CAST("attribute6" AS REAL) DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_06cc20866fe8b1ed.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_06cc20866fe8b1ed.sql new file mode 100644 index 0000000000000000000000000000000000000000..6478f3238cab6f083d4f2727d981f258d775f549 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_06cc20866fe8b1ed.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_06cc20866fe8b1ed +-- problem_id: v2p_n17_f51ce9f5f0ce366e +-- realization_mode: agent +-- source_kind: agent +SELECT "attribute2", + AVG(CASE WHEN "class" = '4' THEN 1 ELSE 0 END) AS condition_rate +FROM "n17" +GROUP BY "attribute2" +ORDER BY condition_rate DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_06ecf856077ae419.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_06ecf856077ae419.sql new file mode 100644 index 0000000000000000000000000000000000000000..950cbdc394a2e68a672c2823270575e1cbe9ca40 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_06ecf856077ae419.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_06ecf856077ae419 +-- problem_id: v2p_n17_3c744692c01847b0 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "attribute9", SUM(CAST("attribute7" AS REAL)) AS group_value + FROM "n17" + GROUP BY "attribute9" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."attribute9", g.group_value +FROM grouped AS g +CROSS JOIN total AS t +WHERE g.group_value > t.total_value * 0.1 +ORDER BY g.group_value DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_0af05389c01d5b60.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_0af05389c01d5b60.sql new file mode 100644 index 0000000000000000000000000000000000000000..8bd2a262109a71d1fbc8b8040a4c862aa91daf19 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_0af05389c01d5b60.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_0af05389c01d5b60 +-- problem_id: v2p_n17_469386a3ec2c60d0 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "attribute7", SUM(CAST("attribute5" AS REAL)) AS group_value + FROM "n17" + GROUP BY "attribute7" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."attribute7", g.group_value +FROM grouped AS g +CROSS JOIN total AS t +WHERE g.group_value > t.total_value * 0.05 +ORDER BY g.group_value DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_0c6ba368987640ae.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_0c6ba368987640ae.sql new file mode 100644 index 0000000000000000000000000000000000000000..3aeca29da79d93f8ff3ae8a9e2172659dcb098ba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_0c6ba368987640ae.sql @@ -0,0 +1,27 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_0c6ba368987640ae +-- problem_id: v2p_n17_606e277396bd908b +-- realization_mode: agent +-- source_kind: agent +WITH "grouped" AS ( + SELECT + "attribute2", + SUM(CASE WHEN "class" = '1' THEN 1 ELSE 0 END) AS "numerator_count", + SUM(CASE WHEN "class" = '4' THEN 1 ELSE 0 END) AS "denominator_count" + FROM "n17" + GROUP BY "attribute2" +) +SELECT + "attribute2", + CAST("numerator_count" AS FLOAT) / NULLIF("denominator_count", 0) AS "condition_ratio" +FROM "grouped" +ORDER BY "condition_ratio" DESC +LIMIT 11; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_0daf43db9507119c.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_0daf43db9507119c.sql new file mode 100644 index 0000000000000000000000000000000000000000..f470ab1fe4f5d651da57749e5873ed562bb579f1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_0daf43db9507119c.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_n17_0daf43db9507119c +-- problem_id: v2p_n17_a40de499d0a9fd4f +-- realization_mode: agent +-- source_kind: agent +SELECT "attribute9", + AVG(CASE WHEN "class" = '1' THEN 1.0 ELSE 0.0 END) AS "condition_rate" +FROM "n17" +GROUP BY "attribute9" +ORDER BY "condition_rate" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_11ebfc5bc5e0f35f.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_11ebfc5bc5e0f35f.sql new file mode 100644 index 0000000000000000000000000000000000000000..5914f04e5932e54d11fea466e01fe2d13ace8131 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_11ebfc5bc5e0f35f.sql @@ -0,0 +1,20 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: count_distribution +-- template_id: tpl_tail_low_support_group_count_v2 +-- query_record_id: v2q_n17_11ebfc5bc5e0f35f +-- problem_id: v2p_n17_ea6aa7309344db11 +-- realization_mode: agent +-- source_kind: agent +SELECT + "attribute5", + COUNT(*) AS "support" +FROM "n17" +GROUP BY "attribute5" +ORDER BY "support" ASC, "attribute5" +LIMIT 19; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_11f0a8b4d13d4390.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_11f0a8b4d13d4390.sql new file mode 100644 index 0000000000000000000000000000000000000000..c4fda12b1de6105fbea2a5231a7ae87b7952b043 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_11f0a8b4d13d4390.sql @@ -0,0 +1,20 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: count_distribution +-- template_id: tpl_tail_low_support_group_count_v2 +-- query_record_id: v2q_n17_11f0a8b4d13d4390 +-- problem_id: v2p_n17_2c4ce77acdc76536 +-- realization_mode: agent +-- source_kind: agent +SELECT + "attribute8", + COUNT(*) AS "support" +FROM "n17" +GROUP BY "attribute8" +ORDER BY "support" ASC, "attribute8" +LIMIT 12; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_130debd7ad7ecc19.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_130debd7ad7ecc19.sql new file mode 100644 index 0000000000000000000000000000000000000000..5867cd80ee4d61dca0d3e4316542ccdab53f0c56 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_130debd7ad7ecc19.sql @@ -0,0 +1,22 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_130debd7ad7ecc19 +-- problem_id: v2p_n17_5474ed31d1d4f25e +-- realization_mode: agent +-- source_kind: agent +WITH buckets AS ( + SELECT CAST("attribute5" AS REAL) AS "attribute5", + NTILE(10) OVER (ORDER BY CAST("attribute5" AS REAL) DESC) AS "tail_bucket" + FROM "n17" +) +SELECT "attribute5" +FROM buckets +WHERE "tail_bucket" = 1 +ORDER BY "attribute5" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_16bcdf4930c79984.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_16bcdf4930c79984.sql new file mode 100644 index 0000000000000000000000000000000000000000..3e23eddd2e554973190c6e8a9216042d25164a32 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_16bcdf4930c79984.sql @@ -0,0 +1,20 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_tail_low_support_group_count_v2 +-- query_record_id: v2q_n17_16bcdf4930c79984 +-- problem_id: v2p_n17_eba2f82f1d798c53 +-- realization_mode: agent +-- source_kind: agent +SELECT + "time", + COUNT(*) AS support +FROM "n17" +GROUP BY "time" +ORDER BY support ASC, "time" +LIMIT 10; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_1edeff33d6b9834c.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_1edeff33d6b9834c.sql new file mode 100644 index 0000000000000000000000000000000000000000..91605d1462c2d185d6aeb3f0f5b32cd62ddc830f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_1edeff33d6b9834c.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_1edeff33d6b9834c +-- problem_id: v2p_n17_6349f284db24dd51 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "attribute5" AS value_label, COUNT(*) AS support + FROM "n17" + GROUP BY "attribute5" +), ranked AS ( + SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support + FROM grouped +) +SELECT * +FROM ranked +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_1ee3b00615702791.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_1ee3b00615702791.sql new file mode 100644 index 0000000000000000000000000000000000000000..ab3495b40768bf2a90231ce02759cfd924251ffa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_1ee3b00615702791.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_1ee3b00615702791 +-- problem_id: v2p_n17_b9bbec51fb54c9b7 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "attribute8" AS value_label, COUNT(*) AS support + FROM "n17" + GROUP BY "attribute8" +), ranked AS ( + SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support + FROM grouped +) +SELECT * +FROM ranked +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_1f45fceb36b6e22c.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_1f45fceb36b6e22c.sql new file mode 100644 index 0000000000000000000000000000000000000000..7f5b7709a4046d1662fd06afb5ab277877d67064 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_1f45fceb36b6e22c.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_1f45fceb36b6e22c +-- problem_id: v2p_n17_963a3a4b28c8c168 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "attribute6", SUM(CAST("attribute4" AS REAL)) AS group_value + FROM "n17" + GROUP BY "attribute6" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."attribute6", g.group_value +FROM grouped AS g +CROSS JOIN total AS t +WHERE g.group_value > t.total_value * 0.05 +ORDER BY g.group_value DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_1fa2e3a15f1903ff.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_1fa2e3a15f1903ff.sql new file mode 100644 index 0000000000000000000000000000000000000000..4af26f2db0383cf69dc8cdb843b51267ae7d70dc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_1fa2e3a15f1903ff.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_1fa2e3a15f1903ff +-- problem_id: v2p_n17_5528e4f6e39388d6 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "attribute2" AS value_label, COUNT(*) AS support + FROM "n17" + GROUP BY "attribute2" +) +SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank +FROM grouped +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_216c2cd067c1a052.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_216c2cd067c1a052.sql new file mode 100644 index 0000000000000000000000000000000000000000..2e56aa74e89c3ab1fa66ec4ca2ca77fd2216d672 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_216c2cd067c1a052.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_216c2cd067c1a052 +-- problem_id: v2p_n17_bc32e17e522d2206 +-- realization_mode: agent +-- source_kind: agent +SELECT "attribute9", SUM(CAST("attribute9" AS NUMERIC)) AS "total_measure" +FROM "n17" +GROUP BY "attribute9" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_22c1e4e1ef525ca1.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_22c1e4e1ef525ca1.sql new file mode 100644 index 0000000000000000000000000000000000000000..9a4257c121381455830f681804d28cbe60cca531 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_22c1e4e1ef525ca1.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_22c1e4e1ef525ca1 +-- problem_id: v2p_n17_f004810d53596f0b +-- realization_mode: agent +-- source_kind: agent +SELECT CAST("attribute9" AS INTEGER) AS "attribute9", SUM(CAST("attribute9" AS INTEGER)) AS "total_measure" +FROM "n17" +GROUP BY CAST("attribute9" AS INTEGER) +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_242f7472b3395524.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_242f7472b3395524.sql new file mode 100644 index 0000000000000000000000000000000000000000..b4ee070ec3a3feb982a00c53b0d29a8f039c1d75 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_242f7472b3395524.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_242f7472b3395524 +-- problem_id: v2p_n17_037895200939fe55 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "attribute7", + SUM(CASE WHEN "class" = '1' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "class" = '4' THEN 1 ELSE 0 END) AS denominator_count + FROM "n17" + GROUP BY "attribute7" +) +SELECT "attribute7", + CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio +FROM grouped +ORDER BY condition_ratio DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_24d62e29153d679d.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_24d62e29153d679d.sql new file mode 100644 index 0000000000000000000000000000000000000000..980497683e8fc3750af9f4bb5e78c3a2b19057e2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_24d62e29153d679d.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_24d62e29153d679d +-- problem_id: v2p_n17_3220b4f68aa70195 +-- realization_mode: agent +-- source_kind: agent +SELECT "attribute3", SUM(CAST("attribute3" AS NUMERIC)) AS "total_measure" +FROM "n17" +GROUP BY "attribute3" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_25002af33a5af3fb.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_25002af33a5af3fb.sql new file mode 100644 index 0000000000000000000000000000000000000000..8ee06537fca9914b3e69f9bba15b7da06a2f1348 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_25002af33a5af3fb.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_25002af33a5af3fb +-- problem_id: v2p_n17_899888339d51edb3 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT + "attribute9", + SUM(CASE WHEN "class" = '1' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "class" = '4' THEN 1 ELSE 0 END) AS denominator_count + FROM "n17" + GROUP BY "attribute9" +) +SELECT + "attribute9", + CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio +FROM grouped +ORDER BY condition_ratio DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_2cb9d38060c4ebd3.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_2cb9d38060c4ebd3.sql new file mode 100644 index 0000000000000000000000000000000000000000..7bf546296b3dbfb5be04d7063bbb784d689d6555 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_2cb9d38060c4ebd3.sql @@ -0,0 +1,20 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: count_distribution +-- template_id: tpl_tail_low_support_group_count_v2 +-- query_record_id: v2q_n17_2cb9d38060c4ebd3 +-- problem_id: v2p_n17_47bdeb0108f533d2 +-- realization_mode: agent +-- source_kind: agent +SELECT + "attribute7", + COUNT(*) AS "support" +FROM "n17" +GROUP BY "attribute7" +ORDER BY "support" ASC, "attribute7" +LIMIT 16; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_2e729e5e37e3bace.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_2e729e5e37e3bace.sql new file mode 100644 index 0000000000000000000000000000000000000000..335e6c96f5fb13f3dac9ccf3f2760000d59ae9fe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_2e729e5e37e3bace.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_2e729e5e37e3bace +-- problem_id: v2p_n17_1cdbddb2f59f8cbb +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "attribute2" AS value_label, COUNT(*) AS support + FROM "n17" + GROUP BY "attribute2" +), ranked AS ( + SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support + FROM grouped +) +SELECT * +FROM ranked +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_3042758b2a2de43f.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_3042758b2a2de43f.sql new file mode 100644 index 0000000000000000000000000000000000000000..e179e0e980b589f5f7621527be44ba47200621a9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_3042758b2a2de43f.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_3042758b2a2de43f +-- problem_id: v2p_n17_43bc3f519e105869 +-- realization_mode: agent +-- source_kind: agent +SELECT "attribute7", COUNT(*) AS row_count +FROM "n17" +GROUP BY "attribute7" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_3966dbedbe6fcb0b.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_3966dbedbe6fcb0b.sql new file mode 100644 index 0000000000000000000000000000000000000000..00a0c2e5afb5a913b5707481eb591066bead44ca --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_3966dbedbe6fcb0b.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_3966dbedbe6fcb0b +-- problem_id: v2p_n17_e8310af557a2a47a +-- realization_mode: agent +-- source_kind: agent +SELECT "time", "attribute5", + SUM(CAST("attribute4" AS REAL)) AS total_measure, + SUM(CAST("attribute4" AS REAL)) * 100.0 / NULLIF(SUM(SUM(CAST("attribute4" AS REAL))) OVER (PARTITION BY "time"), 0) AS share_within_group +FROM "n17" +GROUP BY "time", "attribute5" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_3a3ea738c6afeb9a.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_3a3ea738c6afeb9a.sql new file mode 100644 index 0000000000000000000000000000000000000000..4681a3e9622e64cc8a6950902d3f541e74fe88d0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_3a3ea738c6afeb9a.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_3a3ea738c6afeb9a +-- problem_id: v2p_n17_be28922eaf0e2628 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "attribute3" AS value_label, COUNT(*) AS support + FROM "n17" + GROUP BY "attribute3" +) +SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank +FROM grouped +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_42c016e0ad2ab62f.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_42c016e0ad2ab62f.sql new file mode 100644 index 0000000000000000000000000000000000000000..9e879abd0e3027382092a6531d3e5a5a3753b695 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_42c016e0ad2ab62f.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: slice_level_consistency +-- intended_facet_id: conditional_interaction_hotspots +-- variant_semantic_role: filtered_stable_view +-- template_id: tpl_m4_window_partition_avg +-- query_record_id: v2q_n17_42c016e0ad2ab62f +-- problem_id: v2p_n17_a76b8bca389c86da +-- realization_mode: agent +-- source_kind: agent +SELECT DISTINCT + "attribute5", + AVG(CAST("attribute9" AS REAL)) OVER (PARTITION BY "attribute5") AS avg_measure +FROM "n17" +ORDER BY avg_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_49c142e705c090f5.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_49c142e705c090f5.sql new file mode 100644 index 0000000000000000000000000000000000000000..94289918b1a6b56aa333c9a6502dacc30f545d6c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_49c142e705c090f5.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_49c142e705c090f5 +-- problem_id: v2p_n17_d3090bfe0de06730 +-- realization_mode: agent +-- source_kind: agent +SELECT + "attribute9", + "attribute3", + SUM(CAST("attribute2" AS REAL)) AS total_measure, + SUM(CAST("attribute2" AS REAL)) * 100.0 / NULLIF(SUM(SUM(CAST("attribute2" AS REAL))) OVER (PARTITION BY "attribute9"), 0) AS share_within_group +FROM "n17" +GROUP BY "attribute9", "attribute3" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_4bf6ccffc272fe6c.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_4bf6ccffc272fe6c.sql new file mode 100644 index 0000000000000000000000000000000000000000..447ca937248809729deb15abdf5400a279542daf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_4bf6ccffc272fe6c.sql @@ -0,0 +1,40 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_4bf6ccffc272fe6c +-- problem_id: v2p_n17_2720c26362f35dbc +-- realization_mode: agent +-- source_kind: agent +WITH ranked AS ( + SELECT + "attribute7", + CAST("attribute6" AS REAL) AS measure_value, + ROW_NUMBER() OVER ( + PARTITION BY "attribute7" + ORDER BY CAST("attribute6" AS REAL) + ) AS rn, + COUNT(*) OVER (PARTITION BY "attribute7") AS cnt + FROM "n17" + WHERE "attribute7" IS NOT NULL + AND "attribute6" IS NOT NULL +), percentile_points AS ( + SELECT + "attribute7", + measure_value AS percentile_measure, + cnt + FROM ranked + WHERE rn = CAST(((cnt - 1) * 0.95) AS INTEGER) + 1 +) +SELECT + "attribute7", + percentile_measure +FROM percentile_points +WHERE cnt >= 5 +ORDER BY percentile_measure DESC, "attribute7" +LIMIT 11; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_4e16c36f1cfde617.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_4e16c36f1cfde617.sql new file mode 100644 index 0000000000000000000000000000000000000000..0b5c60fa07996df71f8a77c66e2e993a578b7336 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_4e16c36f1cfde617.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_4e16c36f1cfde617 +-- problem_id: v2p_n17_92f0ced9b158fbab +-- realization_mode: agent +-- source_kind: agent +WITH "grouped" AS ( + SELECT "attribute2", SUM(CAST("time" AS REAL)) AS "group_value" + FROM "n17" + GROUP BY "attribute2" +), "total" AS ( + SELECT SUM("group_value") AS "total_value" + FROM "grouped" +) +SELECT g."attribute2", g."group_value" +FROM "grouped" AS g +CROSS JOIN "total" AS t +WHERE g."group_value" > t."total_value" * 0.05 +ORDER BY g."group_value" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_4f5c1cdf68a23e60.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_4f5c1cdf68a23e60.sql new file mode 100644 index 0000000000000000000000000000000000000000..1328e92f55c85512baef4ee6c347a36d9512c364 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_4f5c1cdf68a23e60.sql @@ -0,0 +1,23 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_4f5c1cdf68a23e60 +-- problem_id: v2p_n17_2768b314749adb70 +-- realization_mode: agent +-- source_kind: agent +WITH "buckets" AS ( + SELECT + "attribute4", + NTILE(10) OVER (ORDER BY CAST("attribute4" AS REAL) DESC) AS "tail_bucket" + FROM "n17" +) +SELECT "attribute4" +FROM "buckets" +WHERE "tail_bucket" = 1 +ORDER BY CAST("attribute4" AS REAL) DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_4fa5ae67b8784d26.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_4fa5ae67b8784d26.sql new file mode 100644 index 0000000000000000000000000000000000000000..592658a228c723ee9a00d58362bb6d2c0d589965 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_4fa5ae67b8784d26.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_4fa5ae67b8784d26 +-- problem_id: v2p_n17_2a65172ecd5b0143 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "time" AS value_label, COUNT(*) AS support + FROM "n17" + GROUP BY "time" +), ranked AS ( + SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support + FROM grouped +) +SELECT * +FROM ranked +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_4fe06aa4c937210e.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_4fe06aa4c937210e.sql new file mode 100644 index 0000000000000000000000000000000000000000..53de748576201c36c2320f833aa4807cbf016243 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_4fe06aa4c937210e.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_4fe06aa4c937210e +-- problem_id: v2p_n17_0dd4386f429b40cb +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "attribute8", + COUNT(*) AS support, + AVG("time") AS avg_response +FROM "n17" +GROUP BY "attribute8" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_54fc53330eb24dae.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_54fc53330eb24dae.sql new file mode 100644 index 0000000000000000000000000000000000000000..1e1e70461bcc0edb5b96d609a16845393b34f97c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_54fc53330eb24dae.sql @@ -0,0 +1,64 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_54fc53330eb24dae +-- problem_id: v2p_n17_2962dceb3f3689fb +-- realization_mode: agent +-- source_kind: agent +WITH "ordered" AS ( + SELECT + "attribute5", + CAST("attribute4" AS REAL) AS "measure_value", + ROW_NUMBER() OVER ( + PARTITION BY "attribute5" + ORDER BY CAST("attribute4" AS REAL) + ) AS "rn", + COUNT(*) OVER (PARTITION BY "attribute5") AS "cnt" + FROM "n17" + WHERE "attribute5" IS NOT NULL + AND "attribute4" IS NOT NULL +), +"positions" AS ( + SELECT DISTINCT + "attribute5", + "cnt", + (1.0 + ("cnt" - 1) * 0.9) AS "pos", + CAST((1.0 + ("cnt" - 1) * 0.9) AS INT) AS "lower_rn", + CASE + WHEN (1.0 + ("cnt" - 1) * 0.9) = CAST((1.0 + ("cnt" - 1) * 0.9) AS INT) + THEN CAST((1.0 + ("cnt" - 1) * 0.9) AS INT) + ELSE CAST((1.0 + ("cnt" - 1) * 0.9) AS INT) + 1 + END AS "upper_rn" + FROM "ordered" +), +"bounds" AS ( + SELECT + p."attribute5", + 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."attribute5" = p."attribute5" + GROUP BY + p."attribute5", + p."pos", + p."lower_rn", + p."upper_rn" +) +SELECT + "attribute5", + 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_d/n17/sql/v2q_n17_558d72a39528f072.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_558d72a39528f072.sql new file mode 100644 index 0000000000000000000000000000000000000000..d5b114d2553650955eb887faadf55de8238fb8f9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_558d72a39528f072.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_558d72a39528f072 +-- problem_id: v2p_n17_34a6a90548e50464 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "attribute4", + COUNT(*) AS support, + AVG("attribute2") AS avg_response +FROM "n17" +GROUP BY "attribute4" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_58a4e26f81071ff7.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_58a4e26f81071ff7.sql new file mode 100644 index 0000000000000000000000000000000000000000..86fffc567bb9e386587af6d659f4acc9f052799e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_58a4e26f81071ff7.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_58a4e26f81071ff7 +-- problem_id: v2p_n17_7d634c93e2294ee0 +-- realization_mode: agent +-- source_kind: agent +SELECT "class", COUNT(*) AS "row_count" +FROM "n17" +GROUP BY "class" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_60a7c2950d06bcd5.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_60a7c2950d06bcd5.sql new file mode 100644 index 0000000000000000000000000000000000000000..d8bf9cc5bf7a1a788d044b3daa53894d6f65daf2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_60a7c2950d06bcd5.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_60a7c2950d06bcd5 +-- problem_id: v2p_n17_ba8d38b616559d1f +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "time", + COUNT(*) AS support, + AVG("attribute4") AS avg_response +FROM "n17" +GROUP BY "time" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_6251fd2fb63ace96.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_6251fd2fb63ace96.sql new file mode 100644 index 0000000000000000000000000000000000000000..6a7170264e79d9989d325acec77fa6752572fbb4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_6251fd2fb63ace96.sql @@ -0,0 +1,20 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_tail_low_support_group_count_v2 +-- query_record_id: v2q_n17_6251fd2fb63ace96 +-- problem_id: v2p_n17_d7e19952f031a75c +-- realization_mode: agent +-- source_kind: agent +SELECT + "attribute4", + COUNT(*) AS support +FROM "n17" +GROUP BY "attribute4" +ORDER BY support ASC, "attribute4" +LIMIT 18; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_6282b3043aa77715.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_6282b3043aa77715.sql new file mode 100644 index 0000000000000000000000000000000000000000..15ee4b40932e215271b8133fe5c6c88742aad646 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_6282b3043aa77715.sql @@ -0,0 +1,15 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_threshold_rarity_cdf +-- query_record_id: v2q_n17_6282b3043aa77715 +-- problem_id: v2p_n17_a20ed3058bd62e99 +-- realization_mode: agent +-- source_kind: agent +SELECT AVG(CASE WHEN CAST("attribute3" AS REAL) <= 89.0 THEN 1 ELSE 0 END) AS "empirical_cdf_at_threshold" +FROM "n17"; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_65f213c112e3b14a.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_65f213c112e3b14a.sql new file mode 100644 index 0000000000000000000000000000000000000000..ae9cf32ab86d5a6947011da1cc764213c3090108 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_65f213c112e3b14a.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: filtered_stable_view +-- template_id: tpl_m4_window_partition_avg +-- query_record_id: v2q_n17_65f213c112e3b14a +-- problem_id: v2p_n17_de74f17b8d2f2e64 +-- realization_mode: agent +-- source_kind: agent +SELECT DISTINCT + "attribute4", + AVG(CAST("attribute8" AS REAL)) OVER (PARTITION BY "attribute4") AS avg_measure +FROM "n17" +ORDER BY avg_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_69f4b49ffe6d06a3.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_69f4b49ffe6d06a3.sql new file mode 100644 index 0000000000000000000000000000000000000000..40582573ef95969d68f97fb3443f5d7c20790e6a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_69f4b49ffe6d06a3.sql @@ -0,0 +1,38 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_69f4b49ffe6d06a3 +-- problem_id: v2p_n17_8ffb53adf4901747 +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "class", + CAST("attribute9" AS REAL) AS "attribute9_num", + CUME_DIST() OVER ( + PARTITION BY "class" + ORDER BY CAST("attribute9" AS REAL) + ) AS "cd" + FROM "n17" + WHERE "class" IS NOT NULL + AND "attribute9" IS NOT NULL +), +"percentiles" AS ( + SELECT + "class", + MIN("attribute9_num") AS "percentile_measure" + FROM "ranked" + WHERE "cd" >= 0.9 + GROUP BY "class" +) +SELECT + "class", + "percentile_measure" +FROM "percentiles" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_6a4f38b76a97ea19.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_6a4f38b76a97ea19.sql new file mode 100644 index 0000000000000000000000000000000000000000..500f3d95f5b4af24f16d5d1e1db66944ade1ff8c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_6a4f38b76a97ea19.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_6a4f38b76a97ea19 +-- problem_id: v2p_n17_8f5f6bd59bf62fcd +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "attribute6" AS value_label, COUNT(*) AS support + FROM "n17" + GROUP BY "attribute6" +) +SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank +FROM grouped +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_6bcf3ea746ac951d.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_6bcf3ea746ac951d.sql new file mode 100644 index 0000000000000000000000000000000000000000..547b7b4326c31f0015f606f572ed0f5914b6042e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_6bcf3ea746ac951d.sql @@ -0,0 +1,23 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_6bcf3ea746ac951d +-- problem_id: v2p_n17_06bd4ebe89671f40 +-- realization_mode: agent +-- source_kind: agent +WITH buckets AS ( + SELECT + "attribute7", + NTILE(10) OVER (ORDER BY CAST("attribute7" AS INTEGER) DESC) AS tail_bucket + FROM "n17" +) +SELECT "attribute7" +FROM buckets +WHERE tail_bucket = 1 +ORDER BY CAST("attribute7" AS INTEGER) DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_6c93835551ae387a.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_6c93835551ae387a.sql new file mode 100644 index 0000000000000000000000000000000000000000..4220b56f21c759dda675e4273c75c823fc631e0a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_6c93835551ae387a.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_6c93835551ae387a +-- problem_id: v2p_n17_5d9d83512399039f +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "attribute5", SUM(CAST("attribute3" AS REAL)) AS "group_value" + FROM "n17" + GROUP BY "attribute5" +), total AS ( + SELECT SUM("group_value") AS "total_value" + FROM grouped +) +SELECT g."attribute5", g."group_value" +FROM grouped AS g +CROSS JOIN total AS t +WHERE g."group_value" > t."total_value" * 0.1 +ORDER BY g."group_value" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_71b16d830250a58f.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_71b16d830250a58f.sql new file mode 100644 index 0000000000000000000000000000000000000000..c8f4169717ea0f3e38c0c5a40784cf409e727d72 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_71b16d830250a58f.sql @@ -0,0 +1,66 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_71b16d830250a58f +-- problem_id: v2p_n17_8a9de6d7b60f1501 +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "attribute9", + CAST("attribute8" AS REAL) AS "measure", + ROW_NUMBER() OVER ( + PARTITION BY "attribute9" + ORDER BY CAST("attribute8" AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "attribute9" + ) AS "cnt" + FROM "n17" + WHERE "attribute9" IS NOT NULL + AND "attribute8" IS NOT NULL +), +"positions" AS ( + SELECT DISTINCT + "attribute9", + "cnt", + (1.0 + ("cnt" - 1) * 0.9) AS "pos", + CAST(1.0 + ("cnt" - 1) * 0.9 AS INTEGER) AS "lower_rn", + CASE + WHEN (1.0 + ("cnt" - 1) * 0.9) = CAST(1.0 + ("cnt" - 1) * 0.9 AS INTEGER) + THEN CAST(1.0 + ("cnt" - 1) * 0.9 AS INTEGER) + ELSE CAST(1.0 + ("cnt" - 1) * 0.9 AS INTEGER) + 1 + END AS "upper_rn" + FROM "ranked" +), +"picked" AS ( + SELECT + "r"."attribute9", + "p"."pos", + "p"."lower_rn", + "p"."upper_rn", + MAX(CASE WHEN "r"."rn" = "p"."lower_rn" THEN "r"."measure" END) AS "lower_val", + MAX(CASE WHEN "r"."rn" = "p"."upper_rn" THEN "r"."measure" END) AS "upper_val" + FROM "ranked" AS "r" + JOIN "positions" AS "p" + ON "r"."attribute9" = "p"."attribute9" + GROUP BY + "r"."attribute9", + "p"."pos", + "p"."lower_rn", + "p"."upper_rn" +) +SELECT + "attribute9", + CASE + WHEN "lower_rn" = "upper_rn" THEN "lower_val" + ELSE "lower_val" + ("pos" - "lower_rn") * ("upper_val" - "lower_val") + END AS "percentile_measure" +FROM "picked" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_72798ea6aabad9ff.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_72798ea6aabad9ff.sql new file mode 100644 index 0000000000000000000000000000000000000000..06ed4484176da096a9f9d44573b3ae18248f0367 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_72798ea6aabad9ff.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_72798ea6aabad9ff +-- problem_id: v2p_n17_cbad7a6fbe3b060e +-- realization_mode: agent +-- source_kind: agent +SELECT "attribute4", + AVG(CASE WHEN "class" = '4' THEN 1 ELSE 0 END) AS condition_rate +FROM "n17" +GROUP BY "attribute4" +ORDER BY condition_rate DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_7438a52b7f1325ab.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_7438a52b7f1325ab.sql new file mode 100644 index 0000000000000000000000000000000000000000..1acc36e4153fd18321eb5c0b7c6d1bd676db037b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_7438a52b7f1325ab.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_7438a52b7f1325ab +-- problem_id: v2p_n17_270e3e9ece5438fc +-- realization_mode: agent +-- source_kind: agent +SELECT + "attribute3", + CAST("attribute3" AS REAL) AS percentile_measure +FROM "n17" +GROUP BY "attribute3" +ORDER BY percentile_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_74cf531c3692429a.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_74cf531c3692429a.sql new file mode 100644 index 0000000000000000000000000000000000000000..33a0802f83410dd0df2c7b76875f978b978fb2aa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_74cf531c3692429a.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_74cf531c3692429a +-- problem_id: v2p_n17_1329dd7cee126de8 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "attribute3", + COUNT(*) AS support, + AVG("attribute4") AS avg_response +FROM "n17" +GROUP BY "attribute3" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_76dc313df02e0957.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_76dc313df02e0957.sql new file mode 100644 index 0000000000000000000000000000000000000000..53912d71fb73d886ad2e7dd01a321964d7f0f158 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_76dc313df02e0957.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_76dc313df02e0957 +-- problem_id: v2p_n17_3bbc58ecc94e5d58 +-- realization_mode: agent +-- source_kind: agent +SELECT "attribute4", COUNT(*) AS "row_count" +FROM "n17" +GROUP BY "attribute4" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_8063d7f0fe23dc34.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_8063d7f0fe23dc34.sql new file mode 100644 index 0000000000000000000000000000000000000000..8b80e6d64288e8aa0bc4b87be2a5cdad656efe83 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_8063d7f0fe23dc34.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_8063d7f0fe23dc34 +-- problem_id: v2p_n17_bbfa193ddf6cf5f6 +-- realization_mode: agent +-- source_kind: agent +WITH "grouped" AS ( + SELECT "attribute4", SUM(CAST("attribute2" AS REAL)) AS "group_value" + FROM "n17" + GROUP BY "attribute4" +), "total" AS ( + SELECT SUM("group_value") AS "total_value" + FROM "grouped" +) +SELECT g."attribute4", g."group_value" +FROM "grouped" AS g +CROSS JOIN "total" AS t +WHERE g."group_value" > t."total_value" * 0.05 +ORDER BY g."group_value" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_86eea76de20e252f.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_86eea76de20e252f.sql new file mode 100644 index 0000000000000000000000000000000000000000..2273c048157da98e4a6ca15c944a48a333e7115a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_86eea76de20e252f.sql @@ -0,0 +1,23 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_86eea76de20e252f +-- problem_id: v2p_n17_1c091abcec58ea31 +-- realization_mode: agent +-- source_kind: agent +WITH buckets AS ( + SELECT + "attribute2", + NTILE(10) OVER (ORDER BY CAST("attribute2" AS REAL) DESC) AS tail_bucket + FROM "n17" +) +SELECT "attribute2" +FROM buckets +WHERE tail_bucket = 1 +ORDER BY CAST("attribute2" AS REAL) DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_8878b52a79082ae2.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_8878b52a79082ae2.sql new file mode 100644 index 0000000000000000000000000000000000000000..83b4371b14cf39d5779502f13412b51ed1ce9732 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_8878b52a79082ae2.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_m4_window_partition_avg +-- query_record_id: v2q_n17_8878b52a79082ae2 +-- problem_id: v2p_n17_f98c750e374a20d5 +-- realization_mode: agent +-- source_kind: agent +SELECT DISTINCT "attribute4", + AVG(CAST("attribute8" AS REAL)) OVER (PARTITION BY "attribute4") AS avg_measure +FROM "n17" +ORDER BY avg_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_8ba2913d8fda50e9.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_8ba2913d8fda50e9.sql new file mode 100644 index 0000000000000000000000000000000000000000..994fba59e9d5fd2c46455f42c7a7d1af9c8240e4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_8ba2913d8fda50e9.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_8ba2913d8fda50e9 +-- problem_id: v2p_n17_9f2e7792dec2b4e5 +-- realization_mode: agent +-- source_kind: agent +SELECT "attribute2", "attribute3", COUNT(*) AS "row_count" +FROM "n17" +WHERE CAST("attribute5" AS REAL) >= 46.0 +GROUP BY "attribute2", "attribute3" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_8e2136debc30bd75.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_8e2136debc30bd75.sql new file mode 100644 index 0000000000000000000000000000000000000000..1900b552a3a262e974bb4b68738781ec90a274df --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_8e2136debc30bd75.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_n17_8e2136debc30bd75 +-- problem_id: v2p_n17_f33e8b6aaf1c4d09 +-- realization_mode: agent +-- source_kind: agent +SELECT "attribute7", + AVG(CASE WHEN "class" = '1' THEN 1 ELSE 0 END) AS "condition_rate" +FROM "n17" +GROUP BY "attribute7" +ORDER BY "condition_rate" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_8e8cf3a28250ec9a.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_8e8cf3a28250ec9a.sql new file mode 100644 index 0000000000000000000000000000000000000000..75796f93fb312fab35e3b40cbf333fa82e7d3e99 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_8e8cf3a28250ec9a.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: slice_level_consistency +-- intended_facet_id: conditional_interaction_hotspots +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_m4_window_partition_avg +-- query_record_id: v2q_n17_8e8cf3a28250ec9a +-- problem_id: v2p_n17_899dab86b0ac2a2f +-- realization_mode: agent +-- source_kind: agent +SELECT DISTINCT "attribute3", + AVG(CAST("attribute7" AS REAL)) OVER (PARTITION BY "attribute3") AS avg_measure +FROM "n17" +ORDER BY avg_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_8e952e5ddb3ea180.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_8e952e5ddb3ea180.sql new file mode 100644 index 0000000000000000000000000000000000000000..22e0095d93cab97664b337f2eb0458befafed7a0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_8e952e5ddb3ea180.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_8e952e5ddb3ea180 +-- problem_id: v2p_n17_d94decb9dabc93d7 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "attribute6", + COUNT(*) AS support, + AVG("time") AS avg_response +FROM "n17" +GROUP BY "attribute6" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_919e6165cebd188d.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_919e6165cebd188d.sql new file mode 100644 index 0000000000000000000000000000000000000000..602c6e58b70cbc4ced1bc211008008af83c26e2d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_919e6165cebd188d.sql @@ -0,0 +1,20 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: count_distribution +-- template_id: tpl_tail_low_support_group_count_v2 +-- query_record_id: v2q_n17_919e6165cebd188d +-- problem_id: v2p_n17_92a75d20a7f585c3 +-- realization_mode: agent +-- source_kind: agent +SELECT + "attribute3", + COUNT(*) AS support +FROM "n17" +GROUP BY "attribute3" +ORDER BY support ASC, "attribute3" +LIMIT 17; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_9616f0c5539480fa.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_9616f0c5539480fa.sql new file mode 100644 index 0000000000000000000000000000000000000000..6386bfc609845445cc0872109fe7ff3eae2ea73a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_9616f0c5539480fa.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_9616f0c5539480fa +-- problem_id: v2p_n17_7c79e2c82fd7336a +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "attribute2", + COUNT(*) AS support, + AVG("attribute4") AS avg_response +FROM "n17" +GROUP BY "attribute2" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_986089b7f4c67cf7.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_986089b7f4c67cf7.sql new file mode 100644 index 0000000000000000000000000000000000000000..6efba720de53cb5df2ae2b49d934dd802baa8837 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_986089b7f4c67cf7.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_986089b7f4c67cf7 +-- problem_id: v2p_n17_4e103ab0ce36653f +-- realization_mode: agent +-- source_kind: agent +SELECT + "attribute2", + MAX(CAST("attribute2" AS REAL)) AS "percentile_measure" +FROM "n17" +GROUP BY "attribute2" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_a12c495c9cf40786.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_a12c495c9cf40786.sql new file mode 100644 index 0000000000000000000000000000000000000000..fad2a106bba4802d0093875ddfb342d9665e8669 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_a12c495c9cf40786.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_a12c495c9cf40786 +-- problem_id: v2p_n17_4e206ea0457925e3 +-- realization_mode: agent +-- source_kind: agent +SELECT "attribute2", "attribute5", COUNT(*) AS "row_count" +FROM "n17" +WHERE CAST("attribute7" AS REAL) >= 42.0 +GROUP BY "attribute2", "attribute5" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_a33e3be3b878b26c.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_a33e3be3b878b26c.sql new file mode 100644 index 0000000000000000000000000000000000000000..a8eba6f1a85b05bc62638c7b77f1f54711931e98 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_a33e3be3b878b26c.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_a33e3be3b878b26c +-- problem_id: v2p_n17_c348c5b71fc62c02 +-- realization_mode: agent +-- source_kind: agent +SELECT + "time", + MAX(CAST("time" AS REAL)) AS "percentile_measure" +FROM "n17" +GROUP BY "time" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_a67aa18a64f07b07.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_a67aa18a64f07b07.sql new file mode 100644 index 0000000000000000000000000000000000000000..21e39d9e80d43cfe5049bb13a49d2d310507904e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_a67aa18a64f07b07.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_a67aa18a64f07b07 +-- problem_id: v2p_n17_98dd499df5e2a44d +-- realization_mode: agent +-- source_kind: agent +SELECT "time", "attribute6", COUNT(*) AS "row_count" +FROM "n17" +WHERE "class" = '1' +GROUP BY "time", "attribute6" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_a769e38dfb4c6bfd.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_a769e38dfb4c6bfd.sql new file mode 100644 index 0000000000000000000000000000000000000000..accee1461c30796e16c279dea6c912c999a4f79b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_a769e38dfb4c6bfd.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_a769e38dfb4c6bfd +-- problem_id: v2p_n17_a795d2c9597ad1b6 +-- realization_mode: agent +-- source_kind: agent +SELECT "attribute7", SUM(CAST("attribute7" AS INTEGER)) AS "total_measure" +FROM "n17" +GROUP BY "attribute7" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_a7e45bfd91290fab.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_a7e45bfd91290fab.sql new file mode 100644 index 0000000000000000000000000000000000000000..747e5e55ae3dfc877de94405b0fca8126efeb255 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_a7e45bfd91290fab.sql @@ -0,0 +1,22 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_a7e45bfd91290fab +-- problem_id: v2p_n17_e733f23877166b35 +-- realization_mode: agent +-- source_kind: agent +SELECT + "attribute7", + "time", + SUM(CAST("attribute9" AS REAL)) AS "total_measure", + SUM(CAST("attribute9" AS REAL)) * 100.0 / SUM(SUM(CAST("attribute9" AS REAL))) OVER (PARTITION BY "attribute7") AS "share_within_group" +FROM "n17" +GROUP BY "attribute7", "time" +ORDER BY "share_within_group" DESC +LIMIT 11; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_add95b34af1c9933.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_add95b34af1c9933.sql new file mode 100644 index 0000000000000000000000000000000000000000..80cf3479de6fd0dc3eb04a31c10163962f3a77e3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_add95b34af1c9933.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_add95b34af1c9933 +-- problem_id: v2p_n17_18cab3179c835972 +-- realization_mode: agent +-- source_kind: agent +SELECT "attribute4", SUM(CAST("attribute4" AS NUMERIC)) AS total_measure +FROM "n17" +GROUP BY "attribute4" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_b008dbc0922a0da9.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_b008dbc0922a0da9.sql new file mode 100644 index 0000000000000000000000000000000000000000..35f5a05c6775639d3e44c5abd20a0b71a6a85330 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_b008dbc0922a0da9.sql @@ -0,0 +1,30 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_b008dbc0922a0da9 +-- problem_id: v2p_n17_0193c2bb75c8964d +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT + "attribute4", + SUM(CAST("attribute2" AS REAL)) AS group_value + FROM "n17" + WHERE "attribute4" IS NOT NULL + AND "attribute2" IS NOT NULL + GROUP BY "attribute4" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."attribute4", g.group_value +FROM grouped AS g +CROSS JOIN total AS t +WHERE g.group_value > t.total_value * 0.1 +ORDER BY g.group_value DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_b251b81d04d50082.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_b251b81d04d50082.sql new file mode 100644 index 0000000000000000000000000000000000000000..5ff57a4b114167e7b040651001417d24050e703c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_b251b81d04d50082.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_b251b81d04d50082 +-- problem_id: v2p_n17_d990917f7b5ba39b +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "attribute6", + COUNT(*) AS support, + AVG("attribute3") AS avg_response +FROM "n17" +GROUP BY "attribute6" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_b5378a06fb229d80.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_b5378a06fb229d80.sql new file mode 100644 index 0000000000000000000000000000000000000000..1dc79a75e6489c67a6bb96ca5ec2ce24680ac458 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_b5378a06fb229d80.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_b5378a06fb229d80 +-- problem_id: v2p_n17_ff927eb24962763e +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT + "time", + SUM(CASE WHEN "class" = '1' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "class" = '4' THEN 1 ELSE 0 END) AS denominator_count + FROM "n17" + GROUP BY "time" +) +SELECT + "time", + CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio +FROM grouped +ORDER BY condition_ratio DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_ba768687837689c3.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_ba768687837689c3.sql new file mode 100644 index 0000000000000000000000000000000000000000..79b14d426c22914d9321a8207501dc9e23472b6c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_ba768687837689c3.sql @@ -0,0 +1,59 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_ba768687837689c3 +-- problem_id: v2p_n17_6975d5edb4231cb1 +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "attribute5", + CAST("attribute4" AS REAL) AS "measure_value", + ROW_NUMBER() OVER ( + PARTITION BY "attribute5" + ORDER BY CAST("attribute4" AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "attribute5" + ) AS "cnt" + FROM "n17" + WHERE "attribute5" IS NOT NULL + AND "attribute4" IS NOT NULL +), +"positions" AS ( + SELECT + "attribute5", + "measure_value", + "rn", + "cnt", + 1.0 + (("cnt" - 1) * 0.95) AS "pos" + FROM "ranked" +), +"percentiles" AS ( + SELECT + "attribute5", + MAX(CASE WHEN "rn" = CAST("pos" AS INTEGER) THEN "measure_value" END) AS "lower_value", + MAX(CASE WHEN "rn" = CASE + WHEN "pos" = CAST("pos" AS INTEGER) THEN CAST("pos" AS INTEGER) + ELSE CAST("pos" AS INTEGER) + 1 + END THEN "measure_value" END) AS "upper_value", + MIN("pos") AS "pos", + MIN("cnt") AS "cnt" + FROM "positions" + GROUP BY "attribute5" +) +SELECT + "attribute5", + CASE + WHEN "pos" = CAST("pos" AS INTEGER) THEN "lower_value" + ELSE "lower_value" + (("pos" - CAST("pos" AS INTEGER)) * ("upper_value" - "lower_value")) + END AS "percentile_measure" +FROM "percentiles" +WHERE "cnt" >= 5 +ORDER BY "percentile_measure" DESC, CAST("attribute5" AS REAL) ASC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_bab26e054af0529c.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_bab26e054af0529c.sql new file mode 100644 index 0000000000000000000000000000000000000000..273e8853456d172472b642ef230864240321f69e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_bab26e054af0529c.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_bab26e054af0529c +-- problem_id: v2p_n17_6baddc2cc88d4e85 +-- realization_mode: agent +-- source_kind: agent +SELECT "time", "attribute9", COUNT(*) AS "row_count" +FROM "n17" +WHERE CAST("attribute3" AS REAL) >= 89.0 +GROUP BY "time", "attribute9" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_be9a57648c3ad2ed.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_be9a57648c3ad2ed.sql new file mode 100644 index 0000000000000000000000000000000000000000..76101e54e151dcf60a80ec5271bfe7237e86e971 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_be9a57648c3ad2ed.sql @@ -0,0 +1,20 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_tail_low_support_group_count_v2 +-- query_record_id: v2q_n17_be9a57648c3ad2ed +-- problem_id: v2p_n17_5dc379340b904418 +-- realization_mode: agent +-- source_kind: agent +SELECT + "attribute7", + COUNT(*) AS "support" +FROM "n17" +GROUP BY "attribute7" +ORDER BY "support" ASC, "attribute7" +LIMIT 11; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_c30827d767d46445.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_c30827d767d46445.sql new file mode 100644 index 0000000000000000000000000000000000000000..ec53ae8b296796236bde53660357886206a2a501 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_c30827d767d46445.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_c30827d767d46445 +-- problem_id: v2p_n17_c818b389047c24a6 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "attribute3" AS value_label, COUNT(*) AS support + FROM "n17" + GROUP BY "attribute3" +), ranked AS ( + SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support + FROM grouped +) +SELECT * +FROM ranked +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_c3b1afbfda4e3f00.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_c3b1afbfda4e3f00.sql new file mode 100644 index 0000000000000000000000000000000000000000..5ad90dabc5222e09336f384ed96e0e8545920249 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_c3b1afbfda4e3f00.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_c3b1afbfda4e3f00 +-- problem_id: v2p_n17_78b9d0518e9c6dcf +-- realization_mode: agent +-- source_kind: agent +SELECT "attribute8", COUNT(*) AS "row_count" +FROM "n17" +GROUP BY "attribute8" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_c85cc61c4d7658d6.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_c85cc61c4d7658d6.sql new file mode 100644 index 0000000000000000000000000000000000000000..2443e6bc31c19107b76347c8c52c657c059693dd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_c85cc61c4d7658d6.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_c85cc61c4d7658d6 +-- problem_id: v2p_n17_360275b583bb0bed +-- realization_mode: agent +-- source_kind: agent +SELECT "attribute6", "attribute9", + SUM(CAST("attribute8" AS REAL)) AS total_measure, + SUM(CAST("attribute8" AS REAL)) * 100.0 / SUM(SUM(CAST("attribute8" AS REAL))) OVER (PARTITION BY "attribute6") AS share_within_group +FROM "n17" +GROUP BY "attribute6", "attribute9" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_ca93377235321707.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_ca93377235321707.sql new file mode 100644 index 0000000000000000000000000000000000000000..068ba0e6082cc62f908fda6c35ab2626c5a14b06 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_ca93377235321707.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_ca93377235321707 +-- problem_id: v2p_n17_ec73673dbd6907d1 +-- realization_mode: agent +-- source_kind: agent +SELECT "time", "attribute5", COUNT(*) AS row_count +FROM "n17" +WHERE CAST("attribute9" AS REAL) >= 14.0 +GROUP BY "time", "attribute5" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_d003295be581badc.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_d003295be581badc.sql new file mode 100644 index 0000000000000000000000000000000000000000..2b85006626584353f1f7a83d3bf20d83c642f555 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_d003295be581badc.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_d003295be581badc +-- problem_id: v2p_n17_ee7c3e77595232d5 +-- realization_mode: agent +-- source_kind: agent +SELECT "attribute8", SUM(CAST("attribute8" AS NUMERIC)) AS total_measure +FROM "n17" +GROUP BY "attribute8" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_d30c1c9a9f4531a6.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_d30c1c9a9f4531a6.sql new file mode 100644 index 0000000000000000000000000000000000000000..7a09761312e144789eb30702018cd178c706457d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_d30c1c9a9f4531a6.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_d30c1c9a9f4531a6 +-- problem_id: v2p_n17_c0a18aeb6a86f760 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "class", SUM(CAST("attribute8" AS REAL)) AS group_value + FROM "n17" + GROUP BY "class" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."class", g.group_value +FROM grouped AS g +CROSS JOIN total AS t +WHERE g.group_value > t.total_value * 0.1 +ORDER BY g.group_value DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_d39ceb4cacb5736c.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_d39ceb4cacb5736c.sql new file mode 100644 index 0000000000000000000000000000000000000000..d54265d6703f551f945ba8fbeb4e401339b9c831 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_d39ceb4cacb5736c.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_d39ceb4cacb5736c +-- problem_id: v2p_n17_02ebde614f986765 +-- realization_mode: agent +-- source_kind: agent +SELECT + "attribute3", + "attribute7", + SUM(CAST("attribute6" AS REAL)) AS total_measure, + SUM(CAST("attribute6" AS REAL)) * 100.0 / SUM(SUM(CAST("attribute6" AS REAL))) OVER (PARTITION BY "attribute3") AS share_within_group +FROM "n17" +GROUP BY "attribute3", "attribute7" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_d65dfebb8d07982f.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_d65dfebb8d07982f.sql new file mode 100644 index 0000000000000000000000000000000000000000..780b00eedea71f04d442e121a19bd9e77f68e2d3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_d65dfebb8d07982f.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_d65dfebb8d07982f +-- problem_id: v2p_n17_f08f372d276827ed +-- realization_mode: agent +-- source_kind: agent +SELECT CAST("attribute5" AS INTEGER) AS "attribute5", SUM(CAST("attribute5" AS INTEGER)) AS total_measure +FROM "n17" +GROUP BY CAST("attribute5" AS INTEGER) +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_d677b99c136a18bf.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_d677b99c136a18bf.sql new file mode 100644 index 0000000000000000000000000000000000000000..8031b627e89317878b00953720f40f88b074e254 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_d677b99c136a18bf.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_d677b99c136a18bf +-- problem_id: v2p_n17_3c3aa5536331ca28 +-- realization_mode: agent +-- source_kind: agent +SELECT "attribute8", "attribute2", + SUM(CAST("time" AS REAL)) AS total_measure, + SUM(CAST("time" AS REAL)) * 100.0 / SUM(SUM(CAST("time" AS REAL))) OVER (PARTITION BY "attribute8") AS share_within_group +FROM "n17" +GROUP BY "attribute8", "attribute2" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_d736aea94fa02dbc.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_d736aea94fa02dbc.sql new file mode 100644 index 0000000000000000000000000000000000000000..f6cef5254b7149974b2c81345b67de120957b457 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_d736aea94fa02dbc.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_d736aea94fa02dbc +-- problem_id: v2p_n17_aa1b4056b54db1db +-- realization_mode: agent +-- source_kind: agent +SELECT "time", SUM(CAST("time" AS NUMERIC)) AS total_measure +FROM "n17" +GROUP BY "time" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_d744650987416608.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_d744650987416608.sql new file mode 100644 index 0000000000000000000000000000000000000000..42677c05ed194c36b2b33d8074c02a1957347461 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_d744650987416608.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_d744650987416608 +-- problem_id: v2p_n17_b5a146056e588818 +-- realization_mode: agent +-- source_kind: agent +SELECT "attribute8", SUM(CAST("attribute8" AS NUMERIC)) AS "total_measure" +FROM "n17" +GROUP BY "attribute8" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_da2bdf46d17ea36d.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_da2bdf46d17ea36d.sql new file mode 100644 index 0000000000000000000000000000000000000000..e226735266701346c8bfaf99cb9e21029a16a063 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_da2bdf46d17ea36d.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_da2bdf46d17ea36d +-- problem_id: v2p_n17_aa77355ced11504c +-- realization_mode: agent +-- source_kind: agent +SELECT "attribute4", SUM(CAST("attribute4" AS REAL)) AS "total_measure" +FROM "n17" +GROUP BY "attribute4" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_db7d35a55ce85375.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_db7d35a55ce85375.sql new file mode 100644 index 0000000000000000000000000000000000000000..f84806df47b06e021142526a1781eb47e66efa33 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_db7d35a55ce85375.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_db7d35a55ce85375 +-- problem_id: v2p_n17_97f5b81b03264d96 +-- realization_mode: agent +-- source_kind: agent +SELECT "class", + AVG(CASE WHEN "class" = '4' THEN 1 ELSE 0 END) AS condition_rate +FROM "n17" +GROUP BY "class" +ORDER BY condition_rate DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_dc301d11c5a74044.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_dc301d11c5a74044.sql new file mode 100644 index 0000000000000000000000000000000000000000..c11eb5c2d6466dd4abf85214e00beb97f62dfb75 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_dc301d11c5a74044.sql @@ -0,0 +1,20 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_tail_low_support_group_count_v2 +-- query_record_id: v2q_n17_dc301d11c5a74044 +-- problem_id: v2p_n17_6f0e6614fb6a5841 +-- realization_mode: agent +-- source_kind: agent +SELECT + "attribute2", + COUNT(*) AS support +FROM "n17" +GROUP BY "attribute2" +ORDER BY support ASC, "attribute2" +LIMIT 16; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_dcdaa8b8da1c3402.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_dcdaa8b8da1c3402.sql new file mode 100644 index 0000000000000000000000000000000000000000..983163808a97837e1a11c4beb85c8e35f8723327 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_dcdaa8b8da1c3402.sql @@ -0,0 +1,40 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_dcdaa8b8da1c3402 +-- problem_id: v2p_n17_474f78713f390047 +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "attribute6", + CAST("attribute5" AS REAL) AS "measure_value", + ROW_NUMBER() OVER ( + PARTITION BY "attribute6" + ORDER BY CAST("attribute5" AS REAL) + ) AS "rn", + COUNT(*) OVER (PARTITION BY "attribute6") AS "cnt" + FROM "n17" + WHERE "attribute6" IS NOT NULL + AND "attribute5" IS NOT NULL +), +"picked" AS ( + SELECT + "attribute6", + "measure_value" AS "percentile_measure", + "cnt" + FROM "ranked" + WHERE "rn" = CAST(((("cnt" * 95) + 99) / 100) AS INTEGER) +) +SELECT + "attribute6", + "percentile_measure" +FROM "picked" +WHERE "cnt" >= 5 +ORDER BY "percentile_measure" DESC, CAST("attribute6" AS REAL) ASC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_dcf508d08e6ddc69.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_dcf508d08e6ddc69.sql new file mode 100644 index 0000000000000000000000000000000000000000..a7d7e5ea9176016696ada4bfbdb40e4313c94640 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_dcf508d08e6ddc69.sql @@ -0,0 +1,27 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_dcf508d08e6ddc69 +-- problem_id: v2p_n17_0ae14313d1cf304f +-- realization_mode: agent +-- source_kind: agent +SELECT + "attribute2", + "attribute6", + total_measure, + total_measure * 100.0 / SUM(total_measure) OVER (PARTITION BY "attribute2") AS share_within_group +FROM ( + SELECT + "attribute2", + "attribute6", + SUM(CAST("attribute5" AS REAL)) AS total_measure + FROM "n17" + GROUP BY "attribute2", "attribute6" +) +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_ddf287ee241f05c7.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_ddf287ee241f05c7.sql new file mode 100644 index 0000000000000000000000000000000000000000..a7086fb602ed416cb6add371ec3212daacad0f22 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_ddf287ee241f05c7.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_ddf287ee241f05c7 +-- problem_id: v2p_n17_723fb9c59c20eae4 +-- realization_mode: agent +-- source_kind: agent +SELECT "time", + AVG(CASE WHEN "class" = '4' THEN 1 ELSE 0 END) AS condition_rate +FROM "n17" +GROUP BY "time" +ORDER BY condition_rate DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_e81923189db2d01d.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_e81923189db2d01d.sql new file mode 100644 index 0000000000000000000000000000000000000000..16652a7a831a1bdf750bfabf0215663c8bfd449a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_e81923189db2d01d.sql @@ -0,0 +1,22 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_e81923189db2d01d +-- problem_id: v2p_n17_5647578fea6379ac +-- realization_mode: agent +-- source_kind: agent +WITH buckets AS ( + SELECT CAST("attribute9" AS REAL) AS "attribute9", + NTILE(10) OVER (ORDER BY CAST("attribute9" AS REAL) DESC) AS "tail_bucket" + FROM "n17" +) +SELECT "attribute9" +FROM buckets +WHERE "tail_bucket" = 1 +ORDER BY "attribute9" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_e82c9e8a997ff49f.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_e82c9e8a997ff49f.sql new file mode 100644 index 0000000000000000000000000000000000000000..3bc1670fcec2cc98c0a8d81f9073f270c666d572 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_e82c9e8a997ff49f.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_e82c9e8a997ff49f +-- problem_id: v2p_n17_0e809b37711438f0 +-- realization_mode: agent +-- source_kind: agent +WITH "grouped" AS ( + SELECT "attribute3", SUM(CAST("time" AS REAL)) AS "group_value" + FROM "n17" + GROUP BY "attribute3" +), "total" AS ( + SELECT SUM("group_value") AS "total_value" + FROM "grouped" +) +SELECT g."attribute3", g."group_value" +FROM "grouped" AS g +CROSS JOIN "total" AS t +WHERE g."group_value" > t."total_value" * 0.05 +ORDER BY g."group_value" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_e82dd0593b0b673b.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_e82dd0593b0b673b.sql new file mode 100644 index 0000000000000000000000000000000000000000..872b2b2a332a96570e8a14d06c74ca0448221904 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_e82dd0593b0b673b.sql @@ -0,0 +1,22 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_e82dd0593b0b673b +-- problem_id: v2p_n17_8f872b2cf12f6acb +-- realization_mode: agent +-- source_kind: agent +SELECT + "attribute4", + CAST("attribute4" AS REAL) AS percentile_measure +FROM "n17" +WHERE "attribute4" IS NOT NULL +GROUP BY "attribute4" +HAVING COUNT(*) >= 5 +ORDER BY percentile_measure DESC, "attribute4" DESC +LIMIT 18; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_eb71788a36172f7d.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_eb71788a36172f7d.sql new file mode 100644 index 0000000000000000000000000000000000000000..5a7ee5bc64ee68c069903d57bc74271a2713f58f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_eb71788a36172f7d.sql @@ -0,0 +1,20 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: count_distribution +-- template_id: tpl_tail_low_support_group_count_v2 +-- query_record_id: v2q_n17_eb71788a36172f7d +-- problem_id: v2p_n17_093d8bbe92729e7d +-- realization_mode: agent +-- source_kind: agent +SELECT + "time", + COUNT(*) AS support +FROM "n17" +GROUP BY "time" +ORDER BY support ASC, "time" +LIMIT 15; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_f20e981887815af7.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_f20e981887815af7.sql new file mode 100644 index 0000000000000000000000000000000000000000..a6da23fbf163552e9373337a14b504d693cd52de --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_f20e981887815af7.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_f20e981887815af7 +-- problem_id: v2p_n17_838fda8b6438a502 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "class" AS value_label, COUNT(*) AS support + FROM "n17" + GROUP BY "class" +) +SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank +FROM grouped +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_f28712dc00110c45.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_f28712dc00110c45.sql new file mode 100644 index 0000000000000000000000000000000000000000..2fd37aeea59449b912ab07c2a1d34a1d52d07c52 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_f28712dc00110c45.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_f28712dc00110c45 +-- problem_id: v2p_n17_9da4d7ec00d1566c +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "time", SUM(CAST("attribute9" AS REAL)) AS "group_value" + FROM "n17" + GROUP BY "time" +), total AS ( + SELECT SUM("group_value") AS "total_value" + FROM grouped +) +SELECT g."time", g."group_value" +FROM grouped AS g +CROSS JOIN total AS t +WHERE g."group_value" > t."total_value" * 0.05 +ORDER BY g."group_value" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_f4582882402c6590.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_f4582882402c6590.sql new file mode 100644 index 0000000000000000000000000000000000000000..528583a0d61b6b7cb54e34fc87f0e8af145d79ec --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_f4582882402c6590.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_f4582882402c6590 +-- problem_id: v2p_n17_3294e837c0c5b607 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "attribute9" AS value_label, COUNT(*) AS support + FROM "n17" + GROUP BY "attribute9" +), ranked AS ( + SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support + FROM grouped +) +SELECT * +FROM ranked +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_f6a11a8fca8b4e55.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_f6a11a8fca8b4e55.sql new file mode 100644 index 0000000000000000000000000000000000000000..ba37696fcd5994a8ac68b56cfbf9dd37ac1e88b5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_f6a11a8fca8b4e55.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_f6a11a8fca8b4e55 +-- problem_id: v2p_n17_eb98488f3460821b +-- realization_mode: agent +-- source_kind: agent +SELECT "attribute6", SUM(CAST("attribute6" AS NUMERIC)) AS total_measure +FROM "n17" +GROUP BY "attribute6" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_f9022d185657dbe3.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_f9022d185657dbe3.sql new file mode 100644 index 0000000000000000000000000000000000000000..78b8a60691a6c43c7ea78450c5fc0fa00078afdd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_f9022d185657dbe3.sql @@ -0,0 +1,22 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_f9022d185657dbe3 +-- problem_id: v2p_n17_751ee4a01c6ac1b7 +-- realization_mode: agent +-- source_kind: agent +SELECT + "attribute7", + "time", + SUM(CAST("attribute9" AS REAL)) AS total_measure, + SUM(CAST("attribute9" AS REAL)) * 100.0 / + SUM(SUM(CAST("attribute9" AS REAL))) OVER (PARTITION BY "attribute7") AS share_within_group +FROM "n17" +GROUP BY "attribute7", "time" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_f9216928a15dd2c8.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_f9216928a15dd2c8.sql new file mode 100644 index 0000000000000000000000000000000000000000..2bf4126a8fd2446df02a875b0d1153fc0295e7e5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_f9216928a15dd2c8.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_f9216928a15dd2c8 +-- problem_id: v2p_n17_0926776ccb452423 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "attribute8", SUM(CAST("attribute6" AS REAL)) AS group_value + FROM "n17" + GROUP BY "attribute8" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."attribute8", g.group_value +FROM grouped AS g +CROSS JOIN total AS t +WHERE g.group_value > t.total_value * 0.05 +ORDER BY g.group_value DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_fc9bdfd871aa3780.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_fc9bdfd871aa3780.sql new file mode 100644 index 0000000000000000000000000000000000000000..a3dc4b1f9314b4b1e4cd8c87efbabff785b40df5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_fc9bdfd871aa3780.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_fc9bdfd871aa3780 +-- problem_id: v2p_n17_a24c0fcfe381b2ae +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "class" AS value_label, COUNT(*) AS support + FROM "n17" + GROUP BY "class" +), ranked AS ( + SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support + FROM grouped +) +SELECT * +FROM ranked +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_fdee38310dcd1a8d.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_fdee38310dcd1a8d.sql new file mode 100644 index 0000000000000000000000000000000000000000..b367606e388ab585ca14a95f352b888f0ad10234 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/sql/v2q_n17_fdee38310dcd1a8d.sql @@ -0,0 +1,68 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: n17 +-- 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_n17_fdee38310dcd1a8d +-- problem_id: v2p_n17_77bdd8a88d18b49a +-- realization_mode: agent +-- source_kind: agent +WITH "base" AS ( + SELECT + "attribute6" AS "attribute6", + CAST("attribute5" AS REAL) AS "attribute5" + FROM "n17" + WHERE "attribute6" IS NOT NULL + AND "attribute5" IS NOT NULL +), +"ranked" AS ( + SELECT + "attribute6", + "attribute5", + ROW_NUMBER() OVER (PARTITION BY "attribute6" ORDER BY "attribute5") AS "rn", + COUNT(*) OVER (PARTITION BY "attribute6") AS "cnt" + FROM "base" +), +"positions" AS ( + SELECT DISTINCT + "attribute6", + "cnt", + (1.0 + (0.9 * ("cnt" - 1))) AS "pos", + CAST((1.0 + (0.9 * ("cnt" - 1))) AS INTEGER) AS "lo" + FROM "ranked" +), +"bounds" AS ( + SELECT + "attribute6", + "cnt", + "pos", + "lo", + CASE + WHEN "pos" = "lo" THEN "lo" + ELSE "lo" + 1 + END AS "hi" + FROM "positions" +) +SELECT + "b"."attribute6" AS "attribute6", + CASE + WHEN "b"."lo" = "b"."hi" THEN MAX(CASE WHEN "r"."rn" = "b"."lo" THEN "r"."attribute5" END) + ELSE + MAX(CASE WHEN "r"."rn" = "b"."lo" THEN "r"."attribute5" END) * ("b"."hi" - "b"."pos") + + MAX(CASE WHEN "r"."rn" = "b"."hi" THEN "r"."attribute5" END) * ("b"."pos" - "b"."lo") + END AS "percentile_measure" +FROM "bounds" AS "b" +JOIN "ranked" AS "r" + ON "r"."attribute6" = "b"."attribute6" +GROUP BY + "b"."attribute6", + "b"."cnt", + "b"."pos", + "b"."lo", + "b"."hi" +HAVING "b"."cnt" >= 5 +ORDER BY "percentile_measure" DESC, CAST("b"."attribute6" AS REAL) ASC;