diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_092c8cc71865a09c/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_092c8cc71865a09c/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..255410d0ee411589801260d76c97f9d4d3939d36 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_092c8cc71865a09c/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10712, "bytes_utf8": 10716, "lines": 267, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 764, "bytes_utf8": 764, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15057, "cached_input_tokens": 13696, "output_tokens": 1915, "reasoning_output_tokens": 1712}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_092c8cc71865a09c/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_092c8cc71865a09c/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..50e077e2d4cd6fa3ebdf22266dacfdb858ef916b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_092c8cc71865a09c/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "c18", + "model": "v2-cli:codex", + "run_id": "v2q_c18_092c8cc71865a09c", + "api_calls": 0, + "input_tokens": 15057, + "cached_input_tokens": 13696, + "output_tokens": 1915, + "total_tokens": 16972, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 35605.3, + "sql_execution_elapsed_ms_total": 89.07, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_092c8cc71865a09c/cli/conversation.jsonl", + "note": "Executed through a 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/c18/artifacts/v2q_c18_092c8cc71865a09c/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_092c8cc71865a09c/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..0addf380b5833d596262cf9d8de1c8565398f909 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_092c8cc71865a09c/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:43:25.659420+00:00", + "ended_at": "2026-05-19T15:44:01.264749+00:00", + "elapsed_ms": 35605.3, + "prompt_metrics": { + "chars": 10712, + "bytes_utf8": 10716, + "lines": 267, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1470, + "bytes_utf8": 1470, + "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": 764, + "bytes_utf8": 764, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15057, + "cached_input_tokens": 13696, + "output_tokens": 1915, + "reasoning_output_tokens": 1712 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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/c18/artifacts/v2q_c18_092c8cc71865a09c/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_092c8cc71865a09c/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ed8d300e1f3667731fd0a51cf45998f87ab801b0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_092c8cc71865a09c/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,267 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c18 +- dataset_name: Wine Reviews +- table_name: c18 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 13 feature columns and target `country`. +- task_type: classification +- target_column: country +- main_row_count: 129971 +- important_fields: +- row_id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for row id. +- country: role=target, type=categorical_target. tags=['condition_candidate', 'target_candidate', 'missingness_candidate'] desc=Target field for country. +- description: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for description. +- designation: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for designation. +- points: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for points. +- price: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for price. +- province: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for province. +- region_1: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for region 1. +- region_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for region 2. +- taster_name: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for taster name. +- taster_twitter_handle: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for taster twitter handle. +- title: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for title. +- variety: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for variety. +- winery: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for winery. +- useful_field_combinations: [['points', 'price', 'country'], ['points', 'points', 'country']] +- fields_requiring_caution: ['country', 'description', 'designation', 'price'] +- source_url: https://www.kaggle.com/datasets/zynicide/wine-reviews + +SQLite schema snapshot: +{ + "table_name": "c18", + "quoted_table_name": "\"c18\"", + "row_count": 129971, + "columns": [ + { + "name": "row_id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "description", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "designation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "points", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "province", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "taster_name", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "taster_twitter_handle", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "title", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "variety", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "winery", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "row_id": "0", + "country": "Italy", + "description": "Aromas include tropical fruit, broom, brimstone and dried herb. The palate isn't overly expressive, offering unripened apple, citrus and dried sage alongside brisk acidity.", + "designation": "Vulkà Bianco", + "points": "87", + "price": "", + "province": "Sicily & Sardinia", + "region_1": "Etna", + "region_2": "", + "taster_name": "Kerin O’Keefe", + "taster_twitter_handle": "@kerinokeefe", + "title": "Nicosia 2013 Vulkà Bianco (Etna)", + "variety": "White Blend", + "winery": "Nicosia" + }, + { + "row_id": "1", + "country": "Portugal", + "description": "This is ripe and fruity, a wine that is smooth while still structured. Firm tannins are filled out with juicy red berry fruits and freshened with acidity. It's already drinkable, although it will certainly be better from 2016.", + "designation": "Avidagos", + "points": "87", + "price": "15.0", + "province": "Douro", + "region_1": "", + "region_2": "", + "taster_name": "Roger Voss", + "taster_twitter_handle": "@vossroger", + "title": "Quinta dos Avidagos 2011 Avidagos Red (Douro)", + "variety": "Portuguese Red", + "winery": "Quinta dos Avidagos" + }, + { + "row_id": "2", + "country": "US", + "description": "Tart and snappy, the flavors of lime flesh and rind dominate. Some green pineapple pokes through, with crisp acidity underscoring the flavors. The wine was all stainless-steel fermented.", + "designation": "", + "points": "87", + "price": "14.0", + "province": "Oregon", + "region_1": "Willamette Valley", + "region_2": "Willamette Valley", + "taster_name": "Paul Gregutt", + "taster_twitter_handle": "@paulgwine", + "title": "Rainstorm 2013 Pinot Gris (Willamette Valley)", + "variety": "Pinot Gris", + "winery": "Rainstorm" + }, + { + "row_id": "3", + "country": "US", + "description": "Pineapple rind, lemon pith and orange blossom start off the aromas. The palate is a bit more opulent, with notes of honey-drizzled guava and mango giving way to a slightly astringent, semidry finish.", + "designation": "Reserve Late Harvest", + "points": "87", + "price": "13.0", + "province": "Michigan", + "region_1": "Lake Michigan Shore", + "region_2": "", + "taster_name": "Alexander Peartree", + "taster_twitter_handle": "", + "title": "St. Julian 2013 Reserve Late Harvest Riesling (Lake Michigan Shore)", + "variety": "Riesling", + "winery": "St. Julian" + }, + { + "row_id": "4", + "country": "US", + "description": "Much like the regular bottling from 2012, this comes across as rather rough and tannic, with rustic, earthy, herbal characteristics. Nonetheless, if you think of it as a pleasantly unfussy country wine, it's a good companion to a hearty winter stew.", + "designation": "Vintner's Reserve Wild Child Block", + "points": "87", + "price": "65.0", + "province": "Oregon", + "region_1": "Willamette Valley", + "region_2": "Willamette Valley", + "taster_name": "Paul Gregutt", + "taster_twitter_handle": "@paulgwine", + "title": "Sweet Cheeks 2012 Vintner's Reserve Wild Child Block Pinot Noir (Willamette Valley)", + "variety": "Pinot Noir", + "winery": "Sweet Cheeks" + } + ] +} + +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": "c18", + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=region_2, condition_col=country.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "region_2", + "condition_col": "country", + "condition_value": "US", + "positive_value": "US", + "negative_value": "Portugal", + "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": 56702.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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/c18/artifacts/v2q_c18_092c8cc71865a09c/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_092c8cc71865a09c/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f75eeae134320aedd92fb3c91a0ec59d576fafc4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_092c8cc71865a09c/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,5 @@ +{"type":"thread.started","thread_id":"019e40e7-fcf9-7c42-a5ae-44ed0d4fb950"} +{"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 1985327, Requested 15692. Please try again in 30ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT\\n \\\"region_2\\\",\\n SUM(CASE WHEN \\\"country\\\" = 'US' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"country\\\" = 'Portugal' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"c18\\\"\\n GROUP BY \\\"region_2\\\"\\n)\\nSELECT\\n \\\"region_2\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC\\nLIMIT 12;\",\"notes\":\"Instantiates the planned grouped-ratio template with group_col=\\\"region_2\\\" and condition_col=\\\"country\\\", measuring the US-to-Portugal count ratio per region_2. NULLIF preserves SQLite compatibility by returning NULL when a group has zero Portugal rows.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15057,"cached_input_tokens":13696,"output_tokens":1915,"reasoning_output_tokens":1712}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_092c8cc71865a09c/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_092c8cc71865a09c/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..91de4265e964a9c793f9ef9370b0650202da1f46 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_092c8cc71865a09c/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT\n \"region_2\",\n SUM(CASE WHEN \"country\" = 'US' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"country\" = 'Portugal' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"c18\"\n GROUP BY \"region_2\"\n)\nSELECT\n \"region_2\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC\nLIMIT 12;","notes":"Instantiates the planned grouped-ratio template with group_col=\"region_2\" and condition_col=\"country\", measuring the US-to-Portugal count ratio per region_2. NULLIF preserves SQLite compatibility by returning NULL when a group has zero Portugal rows."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_092c8cc71865a09c/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_092c8cc71865a09c/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/c18/artifacts/v2q_c18_09343ebf8928b7de/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_09343ebf8928b7de/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..cf5ad73b294f9537e483ca23c4c2497027f06cbb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_09343ebf8928b7de/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9805, "bytes_utf8": 9809, "lines": 262, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 327, "bytes_utf8": 327, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14822, "cached_input_tokens": 13696, "output_tokens": 532, "reasoning_output_tokens": 443}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_09343ebf8928b7de/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_09343ebf8928b7de/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..d953d8256f6c269ae951368992865ea37d9eb7eb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_09343ebf8928b7de/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "c18", + "model": "v2-cli:codex", + "run_id": "v2q_c18_09343ebf8928b7de", + "api_calls": 0, + "input_tokens": 14822, + "cached_input_tokens": 13696, + "output_tokens": 532, + "total_tokens": 15354, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12041.21, + "sql_execution_elapsed_ms_total": 67.43, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_09343ebf8928b7de/cli/conversation.jsonl", + "note": "Executed through a 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/c18/artifacts/v2q_c18_09343ebf8928b7de/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_09343ebf8928b7de/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c9761903e10fb2b7d9ca019e55ff18d4644fac87 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_09343ebf8928b7de/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:33:47.839422+00:00", + "ended_at": "2026-05-19T15:33:59.880669+00:00", + "elapsed_ms": 12041.21, + "prompt_metrics": { + "chars": 9805, + "bytes_utf8": 9809, + "lines": 262, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 681, + "bytes_utf8": 681, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 327, + "bytes_utf8": 327, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14822, + "cached_input_tokens": 13696, + "output_tokens": 532, + "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/c18/artifacts/v2q_c18_09343ebf8928b7de/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_09343ebf8928b7de/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7dd8112f7f958d9ec2499ac1a71802704e425e23 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_09343ebf8928b7de/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,262 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c18 +- dataset_name: Wine Reviews +- table_name: c18 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 13 feature columns and target `country`. +- task_type: classification +- target_column: country +- main_row_count: 129971 +- important_fields: +- row_id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for row id. +- country: role=target, type=categorical_target. tags=['condition_candidate', 'target_candidate', 'missingness_candidate'] desc=Target field for country. +- description: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for description. +- designation: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for designation. +- points: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for points. +- price: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for price. +- province: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for province. +- region_1: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for region 1. +- region_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for region 2. +- taster_name: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for taster name. +- taster_twitter_handle: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for taster twitter handle. +- title: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for title. +- variety: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for variety. +- winery: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for winery. +- useful_field_combinations: [['points', 'price', 'country'], ['points', 'points', 'country']] +- fields_requiring_caution: ['country', 'description', 'designation', 'price'] +- source_url: https://www.kaggle.com/datasets/zynicide/wine-reviews + +SQLite schema snapshot: +{ + "table_name": "c18", + "quoted_table_name": "\"c18\"", + "row_count": 129971, + "columns": [ + { + "name": "row_id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "description", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "designation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "points", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "province", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "taster_name", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "taster_twitter_handle", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "title", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "variety", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "winery", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "row_id": "0", + "country": "Italy", + "description": "Aromas include tropical fruit, broom, brimstone and dried herb. The palate isn't overly expressive, offering unripened apple, citrus and dried sage alongside brisk acidity.", + "designation": "Vulkà Bianco", + "points": "87", + "price": "", + "province": "Sicily & Sardinia", + "region_1": "Etna", + "region_2": "", + "taster_name": "Kerin O’Keefe", + "taster_twitter_handle": "@kerinokeefe", + "title": "Nicosia 2013 Vulkà Bianco (Etna)", + "variety": "White Blend", + "winery": "Nicosia" + }, + { + "row_id": "1", + "country": "Portugal", + "description": "This is ripe and fruity, a wine that is smooth while still structured. Firm tannins are filled out with juicy red berry fruits and freshened with acidity. It's already drinkable, although it will certainly be better from 2016.", + "designation": "Avidagos", + "points": "87", + "price": "15.0", + "province": "Douro", + "region_1": "", + "region_2": "", + "taster_name": "Roger Voss", + "taster_twitter_handle": "@vossroger", + "title": "Quinta dos Avidagos 2011 Avidagos Red (Douro)", + "variety": "Portuguese Red", + "winery": "Quinta dos Avidagos" + }, + { + "row_id": "2", + "country": "US", + "description": "Tart and snappy, the flavors of lime flesh and rind dominate. Some green pineapple pokes through, with crisp acidity underscoring the flavors. The wine was all stainless-steel fermented.", + "designation": "", + "points": "87", + "price": "14.0", + "province": "Oregon", + "region_1": "Willamette Valley", + "region_2": "Willamette Valley", + "taster_name": "Paul Gregutt", + "taster_twitter_handle": "@paulgwine", + "title": "Rainstorm 2013 Pinot Gris (Willamette Valley)", + "variety": "Pinot Gris", + "winery": "Rainstorm" + }, + { + "row_id": "3", + "country": "US", + "description": "Pineapple rind, lemon pith and orange blossom start off the aromas. The palate is a bit more opulent, with notes of honey-drizzled guava and mango giving way to a slightly astringent, semidry finish.", + "designation": "Reserve Late Harvest", + "points": "87", + "price": "13.0", + "province": "Michigan", + "region_1": "Lake Michigan Shore", + "region_2": "", + "taster_name": "Alexander Peartree", + "taster_twitter_handle": "", + "title": "St. Julian 2013 Reserve Late Harvest Riesling (Lake Michigan Shore)", + "variety": "Riesling", + "winery": "St. Julian" + }, + { + "row_id": "4", + "country": "US", + "description": "Much like the regular bottling from 2012, this comes across as rather rough and tannic, with rustic, earthy, herbal characteristics. Nonetheless, if you think of it as a pleasantly unfussy country wine, it's a good companion to a hearty winter stew.", + "designation": "Vintner's Reserve Wild Child Block", + "points": "87", + "price": "65.0", + "province": "Oregon", + "region_1": "Willamette Valley", + "region_2": "Willamette Valley", + "taster_name": "Paul Gregutt", + "taster_twitter_handle": "@paulgwine", + "title": "Sweet Cheeks 2012 Vintner's Reserve Wild Child Block Pinot Noir (Willamette Valley)", + "variety": "Pinot Noir", + "winery": "Sweet Cheeks" + } + ] +} + +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": "c18", + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=region_2.", + "planned_template_id": "tpl_clickbench_group_count", + "bindings": { + "group_col": "region_2", + "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": 25.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/c18/artifacts/v2q_c18_09343ebf8928b7de/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_09343ebf8928b7de/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..7c93ff0206972938ebaa1ff293cf343b9b0fe2f6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_09343ebf8928b7de/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40df-2bca-74f2-baa2-753f4d913c5c"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"region_2\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"c18\\\"\\nGROUP BY \\\"region_2\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Grouped count distribution over \\\"region_2\\\" using the planned template, with no filters so all values, including empty or NULL entries, are counted.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14822,"cached_input_tokens":13696,"output_tokens":532,"reasoning_output_tokens":443}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_09343ebf8928b7de/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_09343ebf8928b7de/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5a90a14ad38069373062e0c8333bc40063ac5611 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_09343ebf8928b7de/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_clickbench_group_count\nSELECT \"region_2\", COUNT(*) AS \"row_count\"\nFROM \"c18\"\nGROUP BY \"region_2\"\nORDER BY \"row_count\" DESC;","notes":"Grouped count distribution over \"region_2\" using the planned template, with no filters so all values, including empty or NULL entries, are counted."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_09343ebf8928b7de/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_09343ebf8928b7de/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/c18/artifacts/v2q_c18_124c52fc49fe8c54/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_124c52fc49fe8c54/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d60e779b9f640b7935051c64dd9ccffb0a46bd0b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_124c52fc49fe8c54/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10318, "bytes_utf8": 10322, "lines": 266, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 1159, "bytes_utf8": 1159, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14967, "cached_input_tokens": 12032, "output_tokens": 1652, "reasoning_output_tokens": 1297}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_124c52fc49fe8c54/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_124c52fc49fe8c54/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a1eb0becd85f840c5dd4cbae9eb387c8ae6e2c45 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_124c52fc49fe8c54/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "c18", + "model": "v2-cli:codex", + "run_id": "v2q_c18_124c52fc49fe8c54", + "api_calls": 0, + "input_tokens": 14967, + "cached_input_tokens": 12032, + "output_tokens": 1652, + "total_tokens": 16619, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 27236.98, + "sql_execution_elapsed_ms_total": 508.89, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_124c52fc49fe8c54/cli/conversation.jsonl", + "note": "Executed through a 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/c18/artifacts/v2q_c18_124c52fc49fe8c54/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_124c52fc49fe8c54/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..106c0abccd9008c6737303458f7792a3bfa19d91 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_124c52fc49fe8c54/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:38:18.139904+00:00", + "ended_at": "2026-05-19T15:38:45.376922+00:00", + "elapsed_ms": 27236.98, + "prompt_metrics": { + "chars": 10318, + "bytes_utf8": 10322, + "lines": 266, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1595, + "bytes_utf8": 1595, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 1159, + "bytes_utf8": 1159, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14967, + "cached_input_tokens": 12032, + "output_tokens": 1652, + "reasoning_output_tokens": 1297 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_124c52fc49fe8c54/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_124c52fc49fe8c54/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..de38b7386f5255b52a1ffa578958ff0ab8a4ce48 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_124c52fc49fe8c54/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,266 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c18 +- dataset_name: Wine Reviews +- table_name: c18 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 13 feature columns and target `country`. +- task_type: classification +- target_column: country +- main_row_count: 129971 +- important_fields: +- row_id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for row id. +- country: role=target, type=categorical_target. tags=['condition_candidate', 'target_candidate', 'missingness_candidate'] desc=Target field for country. +- description: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for description. +- designation: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for designation. +- points: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for points. +- price: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for price. +- province: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for province. +- region_1: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for region 1. +- region_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for region 2. +- taster_name: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for taster name. +- taster_twitter_handle: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for taster twitter handle. +- title: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for title. +- variety: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for variety. +- winery: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for winery. +- useful_field_combinations: [['points', 'price', 'country'], ['points', 'points', 'country']] +- fields_requiring_caution: ['country', 'description', 'designation', 'price'] +- source_url: https://www.kaggle.com/datasets/zynicide/wine-reviews + +SQLite schema snapshot: +{ + "table_name": "c18", + "quoted_table_name": "\"c18\"", + "row_count": 129971, + "columns": [ + { + "name": "row_id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "description", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "designation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "points", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "province", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "taster_name", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "taster_twitter_handle", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "title", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "variety", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "winery", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "row_id": "0", + "country": "Italy", + "description": "Aromas include tropical fruit, broom, brimstone and dried herb. The palate isn't overly expressive, offering unripened apple, citrus and dried sage alongside brisk acidity.", + "designation": "Vulkà Bianco", + "points": "87", + "price": "", + "province": "Sicily & Sardinia", + "region_1": "Etna", + "region_2": "", + "taster_name": "Kerin O’Keefe", + "taster_twitter_handle": "@kerinokeefe", + "title": "Nicosia 2013 Vulkà Bianco (Etna)", + "variety": "White Blend", + "winery": "Nicosia" + }, + { + "row_id": "1", + "country": "Portugal", + "description": "This is ripe and fruity, a wine that is smooth while still structured. Firm tannins are filled out with juicy red berry fruits and freshened with acidity. It's already drinkable, although it will certainly be better from 2016.", + "designation": "Avidagos", + "points": "87", + "price": "15.0", + "province": "Douro", + "region_1": "", + "region_2": "", + "taster_name": "Roger Voss", + "taster_twitter_handle": "@vossroger", + "title": "Quinta dos Avidagos 2011 Avidagos Red (Douro)", + "variety": "Portuguese Red", + "winery": "Quinta dos Avidagos" + }, + { + "row_id": "2", + "country": "US", + "description": "Tart and snappy, the flavors of lime flesh and rind dominate. Some green pineapple pokes through, with crisp acidity underscoring the flavors. The wine was all stainless-steel fermented.", + "designation": "", + "points": "87", + "price": "14.0", + "province": "Oregon", + "region_1": "Willamette Valley", + "region_2": "Willamette Valley", + "taster_name": "Paul Gregutt", + "taster_twitter_handle": "@paulgwine", + "title": "Rainstorm 2013 Pinot Gris (Willamette Valley)", + "variety": "Pinot Gris", + "winery": "Rainstorm" + }, + { + "row_id": "3", + "country": "US", + "description": "Pineapple rind, lemon pith and orange blossom start off the aromas. The palate is a bit more opulent, with notes of honey-drizzled guava and mango giving way to a slightly astringent, semidry finish.", + "designation": "Reserve Late Harvest", + "points": "87", + "price": "13.0", + "province": "Michigan", + "region_1": "Lake Michigan Shore", + "region_2": "", + "taster_name": "Alexander Peartree", + "taster_twitter_handle": "", + "title": "St. Julian 2013 Reserve Late Harvest Riesling (Lake Michigan Shore)", + "variety": "Riesling", + "winery": "St. Julian" + }, + { + "row_id": "4", + "country": "US", + "description": "Much like the regular bottling from 2012, this comes across as rather rough and tannic, with rustic, earthy, herbal characteristics. Nonetheless, if you think of it as a pleasantly unfussy country wine, it's a good companion to a hearty winter stew.", + "designation": "Vintner's Reserve Wild Child Block", + "points": "87", + "price": "65.0", + "province": "Oregon", + "region_1": "Willamette Valley", + "region_2": "Willamette Valley", + "taster_name": "Paul Gregutt", + "taster_twitter_handle": "@paulgwine", + "title": "Sweet Cheeks 2012 Vintner's Reserve Wild Child Block Pinot Noir (Willamette Valley)", + "variety": "Pinot Noir", + "winery": "Sweet Cheeks" + } + ] +} + +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": "c18", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=taster_twitter_handle, measure_col=price.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "taster_twitter_handle", + "measure_col": "price", + "item_col": "title", + "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": 25.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/c18/artifacts/v2q_c18_124c52fc49fe8c54/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_124c52fc49fe8c54/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..10d45e082ac0624bc7382d4e284de63bdf8b4539 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_124c52fc49fe8c54/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e3-4ba5-7f92-b91b-6cadc999de63"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"taster_twitter_handle\\\",\\n \\\"title\\\",\\n SUM(CAST(\\\"price\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"price\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"price\\\" AS REAL))) OVER (PARTITION BY \\\"taster_twitter_handle\\\") AS share_within_group\\nFROM \\\"c18\\\"\\nWHERE TRIM(COALESCE(\\\"price\\\", '')) <> ''\\n AND TRIM(COALESCE(\\\"taster_twitter_handle\\\", '')) <> ''\\n AND TRIM(COALESCE(\\\"title\\\", '')) <> ''\\n AND \\\"taster_twitter_handle\\\" IN (\\n SELECT \\\"taster_twitter_handle\\\"\\n FROM \\\"c18\\\"\\n WHERE TRIM(COALESCE(\\\"price\\\", '')) <> ''\\n AND TRIM(COALESCE(\\\"taster_twitter_handle\\\", '')) <> ''\\n GROUP BY \\\"taster_twitter_handle\\\"\\n HAVING COUNT(*) >= 5\\n )\\nGROUP BY \\\"taster_twitter_handle\\\", \\\"title\\\"\\nORDER BY share_within_group DESC\\nLIMIT 14;\",\"notes\":\"Uses the required template roles with group_col=\\\"taster_twitter_handle\\\", item_col=\\\"title\\\", and measure_col=\\\"price\\\". Because \\\"price\\\" is stored as TEXT, it is cast to REAL; blank price/group/item values are filtered out, min_group_size=5 is enforced at the taster handle level, and top_k=14 is applied with LIMIT 14.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14967,"cached_input_tokens":12032,"output_tokens":1652,"reasoning_output_tokens":1297}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_124c52fc49fe8c54/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_124c52fc49fe8c54/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6ac4d7dce32b24b17c59e264550655bb76feeeef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_124c52fc49fe8c54/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"taster_twitter_handle\",\n \"title\",\n SUM(CAST(\"price\" AS REAL)) AS total_measure,\n SUM(CAST(\"price\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"price\" AS REAL))) OVER (PARTITION BY \"taster_twitter_handle\") AS share_within_group\nFROM \"c18\"\nWHERE TRIM(COALESCE(\"price\", '')) <> ''\n AND TRIM(COALESCE(\"taster_twitter_handle\", '')) <> ''\n AND TRIM(COALESCE(\"title\", '')) <> ''\n AND \"taster_twitter_handle\" IN (\n SELECT \"taster_twitter_handle\"\n FROM \"c18\"\n WHERE TRIM(COALESCE(\"price\", '')) <> ''\n AND TRIM(COALESCE(\"taster_twitter_handle\", '')) <> ''\n GROUP BY \"taster_twitter_handle\"\n HAVING COUNT(*) >= 5\n )\nGROUP BY \"taster_twitter_handle\", \"title\"\nORDER BY share_within_group DESC\nLIMIT 14;","notes":"Uses the required template roles with group_col=\"taster_twitter_handle\", item_col=\"title\", and measure_col=\"price\". Because \"price\" is stored as TEXT, it is cast to REAL; blank price/group/item values are filtered out, min_group_size=5 is enforced at the taster handle level, and top_k=14 is applied with LIMIT 14."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_124c52fc49fe8c54/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_124c52fc49fe8c54/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/c18/artifacts/v2q_c18_199e33f2bf505854/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_199e33f2bf505854/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5ce6de84aaeef0b3fb86a8b417488cbdbd2493dc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_199e33f2bf505854/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10332, "bytes_utf8": 10336, "lines": 266, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 709, "bytes_utf8": 709, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14969, "cached_input_tokens": 12032, "output_tokens": 702, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_199e33f2bf505854/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_199e33f2bf505854/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..ceec8b333a051b1f443491047d3fa1c84357a221 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_199e33f2bf505854/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "c18", + "model": "v2-cli:codex", + "run_id": "v2q_c18_199e33f2bf505854", + "api_calls": 0, + "input_tokens": 14969, + "cached_input_tokens": 12032, + "output_tokens": 702, + "total_tokens": 15671, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14102.9, + "sql_execution_elapsed_ms_total": 330.32, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_199e33f2bf505854/cli/conversation.jsonl", + "note": "Executed through a 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/c18/artifacts/v2q_c18_199e33f2bf505854/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_199e33f2bf505854/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..0831c28afedec95e269beac3d9c91976e3925e19 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_199e33f2bf505854/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:34:52.691296+00:00", + "ended_at": "2026-05-19T15:35:06.794238+00:00", + "elapsed_ms": 14102.9, + "prompt_metrics": { + "chars": 10332, + "bytes_utf8": 10336, + "lines": 266, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1094, + "bytes_utf8": 1094, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 709, + "bytes_utf8": 709, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14969, + "cached_input_tokens": 12032, + "output_tokens": 702, + "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/c18/artifacts/v2q_c18_199e33f2bf505854/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_199e33f2bf505854/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e7c7bf4ae49b685e7290c99a5de1f35ef4ee1f93 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_199e33f2bf505854/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,266 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c18 +- dataset_name: Wine Reviews +- table_name: c18 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 13 feature columns and target `country`. +- task_type: classification +- target_column: country +- main_row_count: 129971 +- important_fields: +- row_id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for row id. +- country: role=target, type=categorical_target. tags=['condition_candidate', 'target_candidate', 'missingness_candidate'] desc=Target field for country. +- description: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for description. +- designation: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for designation. +- points: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for points. +- price: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for price. +- province: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for province. +- region_1: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for region 1. +- region_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for region 2. +- taster_name: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for taster name. +- taster_twitter_handle: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for taster twitter handle. +- title: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for title. +- variety: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for variety. +- winery: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for winery. +- useful_field_combinations: [['points', 'price', 'country'], ['points', 'points', 'country']] +- fields_requiring_caution: ['country', 'description', 'designation', 'price'] +- source_url: https://www.kaggle.com/datasets/zynicide/wine-reviews + +SQLite schema snapshot: +{ + "table_name": "c18", + "quoted_table_name": "\"c18\"", + "row_count": 129971, + "columns": [ + { + "name": "row_id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "description", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "designation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "points", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "province", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "taster_name", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "taster_twitter_handle", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "title", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "variety", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "winery", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "row_id": "0", + "country": "Italy", + "description": "Aromas include tropical fruit, broom, brimstone and dried herb. The palate isn't overly expressive, offering unripened apple, citrus and dried sage alongside brisk acidity.", + "designation": "Vulkà Bianco", + "points": "87", + "price": "", + "province": "Sicily & Sardinia", + "region_1": "Etna", + "region_2": "", + "taster_name": "Kerin O’Keefe", + "taster_twitter_handle": "@kerinokeefe", + "title": "Nicosia 2013 Vulkà Bianco (Etna)", + "variety": "White Blend", + "winery": "Nicosia" + }, + { + "row_id": "1", + "country": "Portugal", + "description": "This is ripe and fruity, a wine that is smooth while still structured. Firm tannins are filled out with juicy red berry fruits and freshened with acidity. It's already drinkable, although it will certainly be better from 2016.", + "designation": "Avidagos", + "points": "87", + "price": "15.0", + "province": "Douro", + "region_1": "", + "region_2": "", + "taster_name": "Roger Voss", + "taster_twitter_handle": "@vossroger", + "title": "Quinta dos Avidagos 2011 Avidagos Red (Douro)", + "variety": "Portuguese Red", + "winery": "Quinta dos Avidagos" + }, + { + "row_id": "2", + "country": "US", + "description": "Tart and snappy, the flavors of lime flesh and rind dominate. Some green pineapple pokes through, with crisp acidity underscoring the flavors. The wine was all stainless-steel fermented.", + "designation": "", + "points": "87", + "price": "14.0", + "province": "Oregon", + "region_1": "Willamette Valley", + "region_2": "Willamette Valley", + "taster_name": "Paul Gregutt", + "taster_twitter_handle": "@paulgwine", + "title": "Rainstorm 2013 Pinot Gris (Willamette Valley)", + "variety": "Pinot Gris", + "winery": "Rainstorm" + }, + { + "row_id": "3", + "country": "US", + "description": "Pineapple rind, lemon pith and orange blossom start off the aromas. The palate is a bit more opulent, with notes of honey-drizzled guava and mango giving way to a slightly astringent, semidry finish.", + "designation": "Reserve Late Harvest", + "points": "87", + "price": "13.0", + "province": "Michigan", + "region_1": "Lake Michigan Shore", + "region_2": "", + "taster_name": "Alexander Peartree", + "taster_twitter_handle": "", + "title": "St. Julian 2013 Reserve Late Harvest Riesling (Lake Michigan Shore)", + "variety": "Riesling", + "winery": "St. Julian" + }, + { + "row_id": "4", + "country": "US", + "description": "Much like the regular bottling from 2012, this comes across as rather rough and tannic, with rustic, earthy, herbal characteristics. Nonetheless, if you think of it as a pleasantly unfussy country wine, it's a good companion to a hearty winter stew.", + "designation": "Vintner's Reserve Wild Child Block", + "points": "87", + "price": "65.0", + "province": "Oregon", + "region_1": "Willamette Valley", + "region_2": "Willamette Valley", + "taster_name": "Paul Gregutt", + "taster_twitter_handle": "@paulgwine", + "title": "Sweet Cheeks 2012 Vintner's Reserve Wild Child Block Pinot Noir (Willamette Valley)", + "variety": "Pinot Noir", + "winery": "Sweet Cheeks" + } + ] +} + +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": "c18", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=taster_twitter_handle, measure_col=row_id.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "taster_twitter_handle", + "measure_col": "row_id", + "item_col": "designation", + "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": 51170.96, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/c18/artifacts/v2q_c18_199e33f2bf505854/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_199e33f2bf505854/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..788563434e27129450c98b77dcbb016a881e0b74 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_199e33f2bf505854/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e0-2926-7e10-9bdf-a1b764d52531"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"taster_twitter_handle\\\", \\\"designation\\\",\\n SUM(CAST(NULLIF(\\\"row_id\\\", '') AS INTEGER)) AS total_measure,\\n SUM(CAST(NULLIF(\\\"row_id\\\", '') AS INTEGER)) * 100.0\\n / SUM(SUM(CAST(NULLIF(\\\"row_id\\\", '') AS INTEGER))) OVER (PARTITION BY \\\"taster_twitter_handle\\\") AS share_within_group\\nFROM \\\"c18\\\"\\nGROUP BY \\\"taster_twitter_handle\\\", \\\"designation\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Used the required template with group_col=\\\"taster_twitter_handle\\\", item_col=\\\"designation\\\", and measure_col=\\\"row_id\\\". Cast \\\"row_id\\\" from TEXT to INTEGER for SQLite-compatible aggregation and treated empty strings as NULL.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14969,"cached_input_tokens":12032,"output_tokens":702,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_199e33f2bf505854/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_199e33f2bf505854/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b4bf05636b3844037433314afbfbb50c9632785a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_199e33f2bf505854/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"taster_twitter_handle\", \"designation\",\n SUM(CAST(NULLIF(\"row_id\", '') AS INTEGER)) AS total_measure,\n SUM(CAST(NULLIF(\"row_id\", '') AS INTEGER)) * 100.0\n / SUM(SUM(CAST(NULLIF(\"row_id\", '') AS INTEGER))) OVER (PARTITION BY \"taster_twitter_handle\") AS share_within_group\nFROM \"c18\"\nGROUP BY \"taster_twitter_handle\", \"designation\"\nORDER BY share_within_group DESC;","notes":"Used the required template with group_col=\"taster_twitter_handle\", item_col=\"designation\", and measure_col=\"row_id\". Cast \"row_id\" from TEXT to INTEGER for SQLite-compatible aggregation and treated empty strings as NULL."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_199e33f2bf505854/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_199e33f2bf505854/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/c18/artifacts/v2q_c18_1f610802f615ad79/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1f610802f615ad79/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1351069c939dc335421f41d4a0cb1d9cd2c3718d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1f610802f615ad79/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10070, "bytes_utf8": 10074, "lines": 264, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 1837, "bytes_utf8": 1837, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14883, "cached_input_tokens": 12032, "output_tokens": 1659, "reasoning_output_tokens": 1034}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1f610802f615ad79/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1f610802f615ad79/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..f611bd31b4ce5f62a3828dd9566a3a1d807fd1c3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1f610802f615ad79/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "c18", + "model": "v2-cli:codex", + "run_id": "v2q_c18_1f610802f615ad79", + "api_calls": 0, + "input_tokens": 14883, + "cached_input_tokens": 12032, + "output_tokens": 1659, + "total_tokens": 16542, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 24889.45, + "sql_execution_elapsed_ms_total": 460.38, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1f610802f615ad79/cli/conversation.jsonl", + "note": "Executed through a 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/c18/artifacts/v2q_c18_1f610802f615ad79/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1f610802f615ad79/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7697aa996e246df051f60644d357e80a8da23486 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1f610802f615ad79/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:57:35.974768+00:00", + "ended_at": "2026-05-19T15:58:00.864246+00:00", + "elapsed_ms": 24889.45, + "prompt_metrics": { + "chars": 10070, + "bytes_utf8": 10074, + "lines": 264, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2463, + "bytes_utf8": 2463, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 1837, + "bytes_utf8": 1837, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14883, + "cached_input_tokens": 12032, + "output_tokens": 1659, + "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/c18/artifacts/v2q_c18_1f610802f615ad79/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1f610802f615ad79/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1b23dafc90732f81db1c36105067f43f24a46ca5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1f610802f615ad79/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,264 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c18 +- dataset_name: Wine Reviews +- table_name: c18 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 13 feature columns and target `country`. +- task_type: classification +- target_column: country +- main_row_count: 129971 +- important_fields: +- row_id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for row id. +- country: role=target, type=categorical_target. tags=['condition_candidate', 'target_candidate', 'missingness_candidate'] desc=Target field for country. +- description: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for description. +- designation: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for designation. +- points: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for points. +- price: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for price. +- province: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for province. +- region_1: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for region 1. +- region_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for region 2. +- taster_name: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for taster name. +- taster_twitter_handle: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for taster twitter handle. +- title: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for title. +- variety: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for variety. +- winery: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for winery. +- useful_field_combinations: [['points', 'price', 'country'], ['points', 'points', 'country']] +- fields_requiring_caution: ['country', 'description', 'designation', 'price'] +- source_url: https://www.kaggle.com/datasets/zynicide/wine-reviews + +SQLite schema snapshot: +{ + "table_name": "c18", + "quoted_table_name": "\"c18\"", + "row_count": 129971, + "columns": [ + { + "name": "row_id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "description", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "designation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "points", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "province", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "taster_name", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "taster_twitter_handle", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "title", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "variety", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "winery", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "row_id": "0", + "country": "Italy", + "description": "Aromas include tropical fruit, broom, brimstone and dried herb. The palate isn't overly expressive, offering unripened apple, citrus and dried sage alongside brisk acidity.", + "designation": "Vulkà Bianco", + "points": "87", + "price": "", + "province": "Sicily & Sardinia", + "region_1": "Etna", + "region_2": "", + "taster_name": "Kerin O’Keefe", + "taster_twitter_handle": "@kerinokeefe", + "title": "Nicosia 2013 Vulkà Bianco (Etna)", + "variety": "White Blend", + "winery": "Nicosia" + }, + { + "row_id": "1", + "country": "Portugal", + "description": "This is ripe and fruity, a wine that is smooth while still structured. Firm tannins are filled out with juicy red berry fruits and freshened with acidity. It's already drinkable, although it will certainly be better from 2016.", + "designation": "Avidagos", + "points": "87", + "price": "15.0", + "province": "Douro", + "region_1": "", + "region_2": "", + "taster_name": "Roger Voss", + "taster_twitter_handle": "@vossroger", + "title": "Quinta dos Avidagos 2011 Avidagos Red (Douro)", + "variety": "Portuguese Red", + "winery": "Quinta dos Avidagos" + }, + { + "row_id": "2", + "country": "US", + "description": "Tart and snappy, the flavors of lime flesh and rind dominate. Some green pineapple pokes through, with crisp acidity underscoring the flavors. The wine was all stainless-steel fermented.", + "designation": "", + "points": "87", + "price": "14.0", + "province": "Oregon", + "region_1": "Willamette Valley", + "region_2": "Willamette Valley", + "taster_name": "Paul Gregutt", + "taster_twitter_handle": "@paulgwine", + "title": "Rainstorm 2013 Pinot Gris (Willamette Valley)", + "variety": "Pinot Gris", + "winery": "Rainstorm" + }, + { + "row_id": "3", + "country": "US", + "description": "Pineapple rind, lemon pith and orange blossom start off the aromas. The palate is a bit more opulent, with notes of honey-drizzled guava and mango giving way to a slightly astringent, semidry finish.", + "designation": "Reserve Late Harvest", + "points": "87", + "price": "13.0", + "province": "Michigan", + "region_1": "Lake Michigan Shore", + "region_2": "", + "taster_name": "Alexander Peartree", + "taster_twitter_handle": "", + "title": "St. Julian 2013 Reserve Late Harvest Riesling (Lake Michigan Shore)", + "variety": "Riesling", + "winery": "St. Julian" + }, + { + "row_id": "4", + "country": "US", + "description": "Much like the regular bottling from 2012, this comes across as rather rough and tannic, with rustic, earthy, herbal characteristics. Nonetheless, if you think of it as a pleasantly unfussy country wine, it's a good companion to a hearty winter stew.", + "designation": "Vintner's Reserve Wild Child Block", + "points": "87", + "price": "65.0", + "province": "Oregon", + "region_1": "Willamette Valley", + "region_2": "Willamette Valley", + "taster_name": "Paul Gregutt", + "taster_twitter_handle": "@paulgwine", + "title": "Sweet Cheeks 2012 Vintner's Reserve Wild Child Block Pinot Noir (Willamette Valley)", + "variety": "Pinot Noir", + "winery": "Sweet Cheeks" + } + ] +} + +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": "c18", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=points, measure_col=row_id.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "points", + "measure_col": "row_id", + "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": 56702.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/c18/artifacts/v2q_c18_1f610802f615ad79/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1f610802f615ad79/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..be1ea47d17c2081037b2761d7d8d854e876803de --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1f610802f615ad79/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f4-f687-7851-ae68-9da560cc042c"} +{"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 \\\"points\\\",\\n CAST(\\\"row_id\\\" AS REAL) AS \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"points\\\"\\n ORDER BY CAST(\\\"row_id\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"points\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"c18\\\"\\n WHERE \\\"points\\\" IS NOT NULL\\n AND \\\"points\\\" <> ''\\n AND \\\"row_id\\\" IS NOT NULL\\n AND \\\"row_id\\\" <> ''\\n),\\n\\\"percentile_pos\\\" AS (\\n SELECT DISTINCT\\n \\\"points\\\",\\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)\\n ELSE CAST(1.0 + 0.95 * (\\\"cnt\\\" - 1) AS INTEGER) + 1\\n END AS \\\"upper_rn\\\"\\n FROM \\\"ranked\\\"\\n),\\n\\\"picked\\\" AS (\\n SELECT\\n p.\\\"points\\\",\\n p.\\\"pos\\\",\\n p.\\\"lower_rn\\\",\\n p.\\\"upper_rn\\\",\\n l.\\\"measure_value\\\" AS \\\"lower_value\\\",\\n u.\\\"measure_value\\\" AS \\\"upper_value\\\"\\n FROM \\\"percentile_pos\\\" AS p\\n JOIN \\\"ranked\\\" AS l\\n ON l.\\\"points\\\" = p.\\\"points\\\"\\n AND l.\\\"rn\\\" = p.\\\"lower_rn\\\"\\n JOIN \\\"ranked\\\" AS u\\n ON u.\\\"points\\\" = p.\\\"points\\\"\\n AND u.\\\"rn\\\" = p.\\\"upper_rn\\\"\\n)\\nSELECT\\n \\\"points\\\",\\n CASE\\n WHEN \\\"lower_rn\\\" = \\\"upper_rn\\\" THEN \\\"lower_value\\\"\\n ELSE \\\"lower_value\\\" + (\\\"pos\\\" - \\\"lower_rn\\\") * (\\\"upper_value\\\" - \\\"lower_value\\\")\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"picked\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this emulates the 0.95 continuous percentile per \\\"points\\\" with window functions and linear interpolation. \\\"row_id\\\" is cast to REAL because the schema stores it as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14883,"cached_input_tokens":12032,"output_tokens":1659,"reasoning_output_tokens":1034}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1f610802f615ad79/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1f610802f615ad79/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..32037814acedc49ba9d6560b66310b95a5b76bc2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1f610802f615ad79/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n \"points\",\n CAST(\"row_id\" AS REAL) AS \"measure_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"points\"\n ORDER BY CAST(\"row_id\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"points\"\n ) AS \"cnt\"\n FROM \"c18\"\n WHERE \"points\" IS NOT NULL\n AND \"points\" <> ''\n AND \"row_id\" IS NOT NULL\n AND \"row_id\" <> ''\n),\n\"percentile_pos\" AS (\n SELECT DISTINCT\n \"points\",\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)\n ELSE CAST(1.0 + 0.95 * (\"cnt\" - 1) AS INTEGER) + 1\n END AS \"upper_rn\"\n FROM \"ranked\"\n),\n\"picked\" AS (\n SELECT\n p.\"points\",\n p.\"pos\",\n p.\"lower_rn\",\n p.\"upper_rn\",\n l.\"measure_value\" AS \"lower_value\",\n u.\"measure_value\" AS \"upper_value\"\n FROM \"percentile_pos\" AS p\n JOIN \"ranked\" AS l\n ON l.\"points\" = p.\"points\"\n AND l.\"rn\" = p.\"lower_rn\"\n JOIN \"ranked\" AS u\n ON u.\"points\" = p.\"points\"\n AND u.\"rn\" = p.\"upper_rn\"\n)\nSELECT\n \"points\",\n CASE\n WHEN \"lower_rn\" = \"upper_rn\" THEN \"lower_value\"\n ELSE \"lower_value\" + (\"pos\" - \"lower_rn\") * (\"upper_value\" - \"lower_value\")\n END AS \"percentile_measure\"\nFROM \"picked\"\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite does not support PERCENTILE_CONT, so this emulates the 0.95 continuous percentile per \"points\" with window functions and linear interpolation. \"row_id\" is cast to REAL because the schema stores it as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1f610802f615ad79/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1f610802f615ad79/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/c18/artifacts/v2q_c18_2043ae1f5db0e283/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2043ae1f5db0e283/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f198a49ec284c00c6f39335bb7418d21e75ac638 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2043ae1f5db0e283/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:05:27.973656+00:00", + "ended_at": "2026-05-19T16:05:31.212241+00:00", + "elapsed_ms": 3238.55, + "returncode": 1, + "prompt_metrics": { + "chars": 9896, + "bytes_utf8": 9900, + "lines": 262, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/c18/artifacts/v2q_c18_2043ae1f5db0e283/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2043ae1f5db0e283/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b3c8565620a19481c2e78b051e6a8d27e646a19c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2043ae1f5db0e283/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": "2026-05-19T16:05:32.214158+00:00", + "ended_at": "2026-05-19T16:05:35.690676+00:00", + "elapsed_ms": 3476.48, + "returncode": 1, + "prompt_metrics": { + "chars": 9896, + "bytes_utf8": 9900, + "lines": 262, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/c18/artifacts/v2q_c18_2043ae1f5db0e283/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2043ae1f5db0e283/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5ab7a2ec38cdb73ff173d0c1829dafd123675865 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2043ae1f5db0e283/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,262 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c18 +- dataset_name: Wine Reviews +- table_name: c18 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 13 feature columns and target `country`. +- task_type: classification +- target_column: country +- main_row_count: 129971 +- important_fields: +- row_id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for row id. +- country: role=target, type=categorical_target. tags=['condition_candidate', 'target_candidate', 'missingness_candidate'] desc=Target field for country. +- description: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for description. +- designation: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for designation. +- points: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for points. +- price: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for price. +- province: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for province. +- region_1: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for region 1. +- region_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for region 2. +- taster_name: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for taster name. +- taster_twitter_handle: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for taster twitter handle. +- title: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for title. +- variety: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for variety. +- winery: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for winery. +- useful_field_combinations: [['points', 'price', 'country'], ['points', 'points', 'country']] +- fields_requiring_caution: ['country', 'description', 'designation', 'price'] +- source_url: https://www.kaggle.com/datasets/zynicide/wine-reviews + +SQLite schema snapshot: +{ + "table_name": "c18", + "quoted_table_name": "\"c18\"", + "row_count": 129971, + "columns": [ + { + "name": "row_id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "description", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "designation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "points", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "province", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "taster_name", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "taster_twitter_handle", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "title", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "variety", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "winery", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "row_id": "0", + "country": "Italy", + "description": "Aromas include tropical fruit, broom, brimstone and dried herb. The palate isn't overly expressive, offering unripened apple, citrus and dried sage alongside brisk acidity.", + "designation": "Vulkà Bianco", + "points": "87", + "price": "", + "province": "Sicily & Sardinia", + "region_1": "Etna", + "region_2": "", + "taster_name": "Kerin O’Keefe", + "taster_twitter_handle": "@kerinokeefe", + "title": "Nicosia 2013 Vulkà Bianco (Etna)", + "variety": "White Blend", + "winery": "Nicosia" + }, + { + "row_id": "1", + "country": "Portugal", + "description": "This is ripe and fruity, a wine that is smooth while still structured. Firm tannins are filled out with juicy red berry fruits and freshened with acidity. It's already drinkable, although it will certainly be better from 2016.", + "designation": "Avidagos", + "points": "87", + "price": "15.0", + "province": "Douro", + "region_1": "", + "region_2": "", + "taster_name": "Roger Voss", + "taster_twitter_handle": "@vossroger", + "title": "Quinta dos Avidagos 2011 Avidagos Red (Douro)", + "variety": "Portuguese Red", + "winery": "Quinta dos Avidagos" + }, + { + "row_id": "2", + "country": "US", + "description": "Tart and snappy, the flavors of lime flesh and rind dominate. Some green pineapple pokes through, with crisp acidity underscoring the flavors. The wine was all stainless-steel fermented.", + "designation": "", + "points": "87", + "price": "14.0", + "province": "Oregon", + "region_1": "Willamette Valley", + "region_2": "Willamette Valley", + "taster_name": "Paul Gregutt", + "taster_twitter_handle": "@paulgwine", + "title": "Rainstorm 2013 Pinot Gris (Willamette Valley)", + "variety": "Pinot Gris", + "winery": "Rainstorm" + }, + { + "row_id": "3", + "country": "US", + "description": "Pineapple rind, lemon pith and orange blossom start off the aromas. The palate is a bit more opulent, with notes of honey-drizzled guava and mango giving way to a slightly astringent, semidry finish.", + "designation": "Reserve Late Harvest", + "points": "87", + "price": "13.0", + "province": "Michigan", + "region_1": "Lake Michigan Shore", + "region_2": "", + "taster_name": "Alexander Peartree", + "taster_twitter_handle": "", + "title": "St. Julian 2013 Reserve Late Harvest Riesling (Lake Michigan Shore)", + "variety": "Riesling", + "winery": "St. Julian" + }, + { + "row_id": "4", + "country": "US", + "description": "Much like the regular bottling from 2012, this comes across as rather rough and tannic, with rustic, earthy, herbal characteristics. Nonetheless, if you think of it as a pleasantly unfussy country wine, it's a good companion to a hearty winter stew.", + "designation": "Vintner's Reserve Wild Child Block", + "points": "87", + "price": "65.0", + "province": "Oregon", + "region_1": "Willamette Valley", + "region_2": "Willamette Valley", + "taster_name": "Paul Gregutt", + "taster_twitter_handle": "@paulgwine", + "title": "Sweet Cheeks 2012 Vintner's Reserve Wild Child Block Pinot Noir (Willamette Valley)", + "variety": "Pinot Noir", + "winery": "Sweet Cheeks" + } + ] +} + +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": "c18", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=taster_name.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "taster_name", + "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": 56702.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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/c18/artifacts/v2q_c18_2043ae1f5db0e283/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2043ae1f5db0e283/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..5ab7a2ec38cdb73ff173d0c1829dafd123675865 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2043ae1f5db0e283/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,262 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c18 +- dataset_name: Wine Reviews +- table_name: c18 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 13 feature columns and target `country`. +- task_type: classification +- target_column: country +- main_row_count: 129971 +- important_fields: +- row_id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for row id. +- country: role=target, type=categorical_target. tags=['condition_candidate', 'target_candidate', 'missingness_candidate'] desc=Target field for country. +- description: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for description. +- designation: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for designation. +- points: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for points. +- price: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for price. +- province: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for province. +- region_1: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for region 1. +- region_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for region 2. +- taster_name: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for taster name. +- taster_twitter_handle: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for taster twitter handle. +- title: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for title. +- variety: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for variety. +- winery: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for winery. +- useful_field_combinations: [['points', 'price', 'country'], ['points', 'points', 'country']] +- fields_requiring_caution: ['country', 'description', 'designation', 'price'] +- source_url: https://www.kaggle.com/datasets/zynicide/wine-reviews + +SQLite schema snapshot: +{ + "table_name": "c18", + "quoted_table_name": "\"c18\"", + "row_count": 129971, + "columns": [ + { + "name": "row_id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "description", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "designation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "points", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "province", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "taster_name", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "taster_twitter_handle", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "title", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "variety", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "winery", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "row_id": "0", + "country": "Italy", + "description": "Aromas include tropical fruit, broom, brimstone and dried herb. The palate isn't overly expressive, offering unripened apple, citrus and dried sage alongside brisk acidity.", + "designation": "Vulkà Bianco", + "points": "87", + "price": "", + "province": "Sicily & Sardinia", + "region_1": "Etna", + "region_2": "", + "taster_name": "Kerin O’Keefe", + "taster_twitter_handle": "@kerinokeefe", + "title": "Nicosia 2013 Vulkà Bianco (Etna)", + "variety": "White Blend", + "winery": "Nicosia" + }, + { + "row_id": "1", + "country": "Portugal", + "description": "This is ripe and fruity, a wine that is smooth while still structured. Firm tannins are filled out with juicy red berry fruits and freshened with acidity. It's already drinkable, although it will certainly be better from 2016.", + "designation": "Avidagos", + "points": "87", + "price": "15.0", + "province": "Douro", + "region_1": "", + "region_2": "", + "taster_name": "Roger Voss", + "taster_twitter_handle": "@vossroger", + "title": "Quinta dos Avidagos 2011 Avidagos Red (Douro)", + "variety": "Portuguese Red", + "winery": "Quinta dos Avidagos" + }, + { + "row_id": "2", + "country": "US", + "description": "Tart and snappy, the flavors of lime flesh and rind dominate. Some green pineapple pokes through, with crisp acidity underscoring the flavors. The wine was all stainless-steel fermented.", + "designation": "", + "points": "87", + "price": "14.0", + "province": "Oregon", + "region_1": "Willamette Valley", + "region_2": "Willamette Valley", + "taster_name": "Paul Gregutt", + "taster_twitter_handle": "@paulgwine", + "title": "Rainstorm 2013 Pinot Gris (Willamette Valley)", + "variety": "Pinot Gris", + "winery": "Rainstorm" + }, + { + "row_id": "3", + "country": "US", + "description": "Pineapple rind, lemon pith and orange blossom start off the aromas. The palate is a bit more opulent, with notes of honey-drizzled guava and mango giving way to a slightly astringent, semidry finish.", + "designation": "Reserve Late Harvest", + "points": "87", + "price": "13.0", + "province": "Michigan", + "region_1": "Lake Michigan Shore", + "region_2": "", + "taster_name": "Alexander Peartree", + "taster_twitter_handle": "", + "title": "St. Julian 2013 Reserve Late Harvest Riesling (Lake Michigan Shore)", + "variety": "Riesling", + "winery": "St. Julian" + }, + { + "row_id": "4", + "country": "US", + "description": "Much like the regular bottling from 2012, this comes across as rather rough and tannic, with rustic, earthy, herbal characteristics. Nonetheless, if you think of it as a pleasantly unfussy country wine, it's a good companion to a hearty winter stew.", + "designation": "Vintner's Reserve Wild Child Block", + "points": "87", + "price": "65.0", + "province": "Oregon", + "region_1": "Willamette Valley", + "region_2": "Willamette Valley", + "taster_name": "Paul Gregutt", + "taster_twitter_handle": "@paulgwine", + "title": "Sweet Cheeks 2012 Vintner's Reserve Wild Child Block Pinot Noir (Willamette Valley)", + "variety": "Pinot Noir", + "winery": "Sweet Cheeks" + } + ] +} + +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": "c18", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=taster_name.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "taster_name", + "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": 56702.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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/c18/artifacts/v2q_c18_2043ae1f5db0e283/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2043ae1f5db0e283/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..64eb09ed1c471f99a4ebe1d790f110203eefe2fc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2043ae1f5db0e283/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-2a1f-7e61-9cb7-bd07c8e0968c"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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/c18/artifacts/v2q_c18_2043ae1f5db0e283/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2043ae1f5db0e283/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d38cb85a23288ae3572b8c7e13d3fa40275d8180 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2043ae1f5db0e283/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-2a1f-7e61-9cb7-bd07c8e0968c"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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/c18/artifacts/v2q_c18_2043ae1f5db0e283/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2043ae1f5db0e283/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..858dbd9af3f7b3e14c710030e184f70098adc0e3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2043ae1f5db0e283/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-3ab4-75b2-9718-dbd991e275e9"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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/c18/artifacts/v2q_c18_2043ae1f5db0e283/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2043ae1f5db0e283/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..fbefc2ef8064a29578302452f81b6fc69e8d8b76 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2043ae1f5db0e283/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-3ab4-75b2-9718-dbd991e275e9"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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/c18/artifacts/v2q_c18_2043ae1f5db0e283/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2043ae1f5db0e283/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/c18/artifacts/v2q_c18_2043ae1f5db0e283/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2043ae1f5db0e283/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/c18/artifacts/v2q_c18_3a97704c0a2c0ebc/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3a97704c0a2c0ebc/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..432614a22b0eba664c473ac7dd4bca2f14c6a39f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3a97704c0a2c0ebc/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10708, "bytes_utf8": 10712, "lines": 267, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 818, "bytes_utf8": 818, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15056, "cached_input_tokens": 12032, "output_tokens": 1293, "reasoning_output_tokens": 1068}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3a97704c0a2c0ebc/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3a97704c0a2c0ebc/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..58d3efd74db96aeec13bf1c151e736f02879629a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3a97704c0a2c0ebc/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "c18", + "model": "v2-cli:codex", + "run_id": "v2q_c18_3a97704c0a2c0ebc", + "api_calls": 0, + "input_tokens": 15056, + "cached_input_tokens": 12032, + "output_tokens": 1293, + "total_tokens": 16349, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 23432.72, + "sql_execution_elapsed_ms_total": 56.23, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3a97704c0a2c0ebc/cli/conversation.jsonl", + "note": "Executed through a 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/c18/artifacts/v2q_c18_3a97704c0a2c0ebc/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3a97704c0a2c0ebc/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f7b95e59b4fa1a7a28c2e78e6787b6339aef0fdc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3a97704c0a2c0ebc/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:41:45.603011+00:00", + "ended_at": "2026-05-19T15:42:09.035758+00:00", + "elapsed_ms": 23432.72, + "prompt_metrics": { + "chars": 10708, + "bytes_utf8": 10712, + "lines": 267, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1198, + "bytes_utf8": 1198, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 818, + "bytes_utf8": 818, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15056, + "cached_input_tokens": 12032, + "output_tokens": 1293, + "reasoning_output_tokens": 1068 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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/c18/artifacts/v2q_c18_3a97704c0a2c0ebc/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3a97704c0a2c0ebc/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5ea68df9bbd6c8b211e76f30ea92378149d5240f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3a97704c0a2c0ebc/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,267 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c18 +- dataset_name: Wine Reviews +- table_name: c18 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 13 feature columns and target `country`. +- task_type: classification +- target_column: country +- main_row_count: 129971 +- important_fields: +- row_id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for row id. +- country: role=target, type=categorical_target. tags=['condition_candidate', 'target_candidate', 'missingness_candidate'] desc=Target field for country. +- description: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for description. +- designation: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for designation. +- points: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for points. +- price: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for price. +- province: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for province. +- region_1: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for region 1. +- region_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for region 2. +- taster_name: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for taster name. +- taster_twitter_handle: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for taster twitter handle. +- title: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for title. +- variety: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for variety. +- winery: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for winery. +- useful_field_combinations: [['points', 'price', 'country'], ['points', 'points', 'country']] +- fields_requiring_caution: ['country', 'description', 'designation', 'price'] +- source_url: https://www.kaggle.com/datasets/zynicide/wine-reviews + +SQLite schema snapshot: +{ + "table_name": "c18", + "quoted_table_name": "\"c18\"", + "row_count": 129971, + "columns": [ + { + "name": "row_id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "description", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "designation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "points", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "province", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "taster_name", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "taster_twitter_handle", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "title", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "variety", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "winery", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "row_id": "0", + "country": "Italy", + "description": "Aromas include tropical fruit, broom, brimstone and dried herb. The palate isn't overly expressive, offering unripened apple, citrus and dried sage alongside brisk acidity.", + "designation": "Vulkà Bianco", + "points": "87", + "price": "", + "province": "Sicily & Sardinia", + "region_1": "Etna", + "region_2": "", + "taster_name": "Kerin O’Keefe", + "taster_twitter_handle": "@kerinokeefe", + "title": "Nicosia 2013 Vulkà Bianco (Etna)", + "variety": "White Blend", + "winery": "Nicosia" + }, + { + "row_id": "1", + "country": "Portugal", + "description": "This is ripe and fruity, a wine that is smooth while still structured. Firm tannins are filled out with juicy red berry fruits and freshened with acidity. It's already drinkable, although it will certainly be better from 2016.", + "designation": "Avidagos", + "points": "87", + "price": "15.0", + "province": "Douro", + "region_1": "", + "region_2": "", + "taster_name": "Roger Voss", + "taster_twitter_handle": "@vossroger", + "title": "Quinta dos Avidagos 2011 Avidagos Red (Douro)", + "variety": "Portuguese Red", + "winery": "Quinta dos Avidagos" + }, + { + "row_id": "2", + "country": "US", + "description": "Tart and snappy, the flavors of lime flesh and rind dominate. Some green pineapple pokes through, with crisp acidity underscoring the flavors. The wine was all stainless-steel fermented.", + "designation": "", + "points": "87", + "price": "14.0", + "province": "Oregon", + "region_1": "Willamette Valley", + "region_2": "Willamette Valley", + "taster_name": "Paul Gregutt", + "taster_twitter_handle": "@paulgwine", + "title": "Rainstorm 2013 Pinot Gris (Willamette Valley)", + "variety": "Pinot Gris", + "winery": "Rainstorm" + }, + { + "row_id": "3", + "country": "US", + "description": "Pineapple rind, lemon pith and orange blossom start off the aromas. The palate is a bit more opulent, with notes of honey-drizzled guava and mango giving way to a slightly astringent, semidry finish.", + "designation": "Reserve Late Harvest", + "points": "87", + "price": "13.0", + "province": "Michigan", + "region_1": "Lake Michigan Shore", + "region_2": "", + "taster_name": "Alexander Peartree", + "taster_twitter_handle": "", + "title": "St. Julian 2013 Reserve Late Harvest Riesling (Lake Michigan Shore)", + "variety": "Riesling", + "winery": "St. Julian" + }, + { + "row_id": "4", + "country": "US", + "description": "Much like the regular bottling from 2012, this comes across as rather rough and tannic, with rustic, earthy, herbal characteristics. Nonetheless, if you think of it as a pleasantly unfussy country wine, it's a good companion to a hearty winter stew.", + "designation": "Vintner's Reserve Wild Child Block", + "points": "87", + "price": "65.0", + "province": "Oregon", + "region_1": "Willamette Valley", + "region_2": "Willamette Valley", + "taster_name": "Paul Gregutt", + "taster_twitter_handle": "@paulgwine", + "title": "Sweet Cheeks 2012 Vintner's Reserve Wild Child Block Pinot Noir (Willamette Valley)", + "variety": "Pinot Noir", + "winery": "Sweet Cheeks" + } + ] +} + +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": "c18", + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=region_2, condition_col=country.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "region_2", + "condition_col": "country", + "condition_value": "US", + "positive_value": "US", + "negative_value": "Portugal", + "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": 90.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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/c18/artifacts/v2q_c18_3a97704c0a2c0ebc/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3a97704c0a2c0ebc/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b8f860cf8b60e216858d309de1d4d28b6015ffbf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3a97704c0a2c0ebc/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e6-760c-7041-a869-02ba478172bc"} +{"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 \\\"region_2\\\",\\n SUM(CASE WHEN \\\"country\\\" = 'US' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"country\\\" = 'Portugal' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"c18\\\"\\n WHERE \\\"region_2\\\" IS NOT NULL AND \\\"region_2\\\" <> ''\\n GROUP BY \\\"region_2\\\"\\n)\\nSELECT\\n \\\"region_2\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nWHERE denominator_count >= 5\\nORDER BY condition_ratio DESC\\nLIMIT 12;\",\"notes\":\"Applies the grouped ratio template with \\\"region_2\\\" as the grouping column and computes the US-to-Portugal count ratio by region_2, excluding blank groups and requiring at least 5 Portugal rows per group for stability.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15056,"cached_input_tokens":12032,"output_tokens":1293,"reasoning_output_tokens":1068}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3a97704c0a2c0ebc/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3a97704c0a2c0ebc/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a5409757de3f34d74cb19f17073d3183109b75fc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3a97704c0a2c0ebc/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT\n \"region_2\",\n SUM(CASE WHEN \"country\" = 'US' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"country\" = 'Portugal' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"c18\"\n WHERE \"region_2\" IS NOT NULL AND \"region_2\" <> ''\n GROUP BY \"region_2\"\n)\nSELECT\n \"region_2\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nWHERE denominator_count >= 5\nORDER BY condition_ratio DESC\nLIMIT 12;","notes":"Applies the grouped ratio template with \"region_2\" as the grouping column and computes the US-to-Portugal count ratio by region_2, excluding blank groups and requiring at least 5 Portugal rows per group for stability."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3a97704c0a2c0ebc/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3a97704c0a2c0ebc/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/c18/artifacts/v2q_c18_626a970373b7eb7c/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_626a970373b7eb7c/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..632f5516f35231263f62e89a46cbf7a1cf18a077 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_626a970373b7eb7c/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9811, "bytes_utf8": 9815, "lines": 262, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 297, "bytes_utf8": 297, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14821, "cached_input_tokens": 12032, "output_tokens": 349, "reasoning_output_tokens": 269}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_626a970373b7eb7c/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_626a970373b7eb7c/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..9443905c6034c8dbce3fb109221e18a78f0e4706 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_626a970373b7eb7c/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "c18", + "model": "v2-cli:codex", + "run_id": "v2q_c18_626a970373b7eb7c", + "api_calls": 0, + "input_tokens": 14821, + "cached_input_tokens": 12032, + "output_tokens": 349, + "total_tokens": 15170, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 20940.48, + "sql_execution_elapsed_ms_total": 106.99, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_626a970373b7eb7c/cli/conversation.jsonl", + "note": "Executed through a 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/c18/artifacts/v2q_c18_626a970373b7eb7c/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_626a970373b7eb7c/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..cfd2471796908fcc845179c0458800dbfed32414 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_626a970373b7eb7c/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:32:50.580326+00:00", + "ended_at": "2026-05-19T15:33:11.520850+00:00", + "elapsed_ms": 20940.48, + "prompt_metrics": { + "chars": 9811, + "bytes_utf8": 9815, + "lines": 262, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1309, + "bytes_utf8": 1309, + "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": 297, + "bytes_utf8": 297, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14821, + "cached_input_tokens": 12032, + "output_tokens": 349, + "reasoning_output_tokens": 269 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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/c18/artifacts/v2q_c18_626a970373b7eb7c/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_626a970373b7eb7c/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..838530fae1ca7a8758a37594f8d93ed5584b8a90 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_626a970373b7eb7c/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,262 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c18 +- dataset_name: Wine Reviews +- table_name: c18 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 13 feature columns and target `country`. +- task_type: classification +- target_column: country +- main_row_count: 129971 +- important_fields: +- row_id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for row id. +- country: role=target, type=categorical_target. tags=['condition_candidate', 'target_candidate', 'missingness_candidate'] desc=Target field for country. +- description: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for description. +- designation: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for designation. +- points: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for points. +- price: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for price. +- province: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for province. +- region_1: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for region 1. +- region_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for region 2. +- taster_name: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for taster name. +- taster_twitter_handle: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for taster twitter handle. +- title: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for title. +- variety: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for variety. +- winery: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for winery. +- useful_field_combinations: [['points', 'price', 'country'], ['points', 'points', 'country']] +- fields_requiring_caution: ['country', 'description', 'designation', 'price'] +- source_url: https://www.kaggle.com/datasets/zynicide/wine-reviews + +SQLite schema snapshot: +{ + "table_name": "c18", + "quoted_table_name": "\"c18\"", + "row_count": 129971, + "columns": [ + { + "name": "row_id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "description", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "designation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "points", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "province", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "taster_name", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "taster_twitter_handle", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "title", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "variety", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "winery", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "row_id": "0", + "country": "Italy", + "description": "Aromas include tropical fruit, broom, brimstone and dried herb. The palate isn't overly expressive, offering unripened apple, citrus and dried sage alongside brisk acidity.", + "designation": "Vulkà Bianco", + "points": "87", + "price": "", + "province": "Sicily & Sardinia", + "region_1": "Etna", + "region_2": "", + "taster_name": "Kerin O’Keefe", + "taster_twitter_handle": "@kerinokeefe", + "title": "Nicosia 2013 Vulkà Bianco (Etna)", + "variety": "White Blend", + "winery": "Nicosia" + }, + { + "row_id": "1", + "country": "Portugal", + "description": "This is ripe and fruity, a wine that is smooth while still structured. Firm tannins are filled out with juicy red berry fruits and freshened with acidity. It's already drinkable, although it will certainly be better from 2016.", + "designation": "Avidagos", + "points": "87", + "price": "15.0", + "province": "Douro", + "region_1": "", + "region_2": "", + "taster_name": "Roger Voss", + "taster_twitter_handle": "@vossroger", + "title": "Quinta dos Avidagos 2011 Avidagos Red (Douro)", + "variety": "Portuguese Red", + "winery": "Quinta dos Avidagos" + }, + { + "row_id": "2", + "country": "US", + "description": "Tart and snappy, the flavors of lime flesh and rind dominate. Some green pineapple pokes through, with crisp acidity underscoring the flavors. The wine was all stainless-steel fermented.", + "designation": "", + "points": "87", + "price": "14.0", + "province": "Oregon", + "region_1": "Willamette Valley", + "region_2": "Willamette Valley", + "taster_name": "Paul Gregutt", + "taster_twitter_handle": "@paulgwine", + "title": "Rainstorm 2013 Pinot Gris (Willamette Valley)", + "variety": "Pinot Gris", + "winery": "Rainstorm" + }, + { + "row_id": "3", + "country": "US", + "description": "Pineapple rind, lemon pith and orange blossom start off the aromas. The palate is a bit more opulent, with notes of honey-drizzled guava and mango giving way to a slightly astringent, semidry finish.", + "designation": "Reserve Late Harvest", + "points": "87", + "price": "13.0", + "province": "Michigan", + "region_1": "Lake Michigan Shore", + "region_2": "", + "taster_name": "Alexander Peartree", + "taster_twitter_handle": "", + "title": "St. Julian 2013 Reserve Late Harvest Riesling (Lake Michigan Shore)", + "variety": "Riesling", + "winery": "St. Julian" + }, + { + "row_id": "4", + "country": "US", + "description": "Much like the regular bottling from 2012, this comes across as rather rough and tannic, with rustic, earthy, herbal characteristics. Nonetheless, if you think of it as a pleasantly unfussy country wine, it's a good companion to a hearty winter stew.", + "designation": "Vintner's Reserve Wild Child Block", + "points": "87", + "price": "65.0", + "province": "Oregon", + "region_1": "Willamette Valley", + "region_2": "Willamette Valley", + "taster_name": "Paul Gregutt", + "taster_twitter_handle": "@paulgwine", + "title": "Sweet Cheeks 2012 Vintner's Reserve Wild Child Block Pinot Noir (Willamette Valley)", + "variety": "Pinot Noir", + "winery": "Sweet Cheeks" + } + ] +} + +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": "c18", + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=taster_name.", + "planned_template_id": "tpl_clickbench_group_count", + "bindings": { + "group_col": "taster_name", + "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": 90.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/c18/artifacts/v2q_c18_626a970373b7eb7c/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_626a970373b7eb7c/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..66b89078eb74baccb45c53938e1f962d4f2b861f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_626a970373b7eb7c/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,6 @@ +{"type":"thread.started","thread_id":"019e40de-4c4b-7182-8966-b402410c6ecc"} +{"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 15456. Please try again in 463ms. 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 1992251, Requested 15456. Please try again in 231ms. 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 \\\"taster_name\\\", COUNT(*) AS row_count\\nFROM \\\"c18\\\"\\nGROUP BY \\\"taster_name\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Uses the Grouped Count by Category template with group_col bound to \\\"taster_name\\\" to show subgroup count distribution.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14821,"cached_input_tokens":12032,"output_tokens":349,"reasoning_output_tokens":269}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_626a970373b7eb7c/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_626a970373b7eb7c/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3b1a5912e12033c5f57d2c7e5653f6bb64d7f660 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_626a970373b7eb7c/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_clickbench_group_count.\nSELECT \"taster_name\", COUNT(*) AS row_count\nFROM \"c18\"\nGROUP BY \"taster_name\"\nORDER BY row_count DESC;","notes":"Uses the Grouped Count by Category template with group_col bound to \"taster_name\" to show subgroup count distribution."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_626a970373b7eb7c/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_626a970373b7eb7c/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/c18/artifacts/v2q_c18_65411953411ff5b0/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_65411953411ff5b0/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e3a4c42a7d46b3017f7d0ab9415cab9aaaa9595b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_65411953411ff5b0/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": "2026-05-19T16:08:08.442910+00:00", + "ended_at": "2026-05-19T16:08:11.909080+00:00", + "elapsed_ms": 3466.14, + "returncode": 1, + "prompt_metrics": { + "chars": 9987, + "bytes_utf8": 9991, + "lines": 264, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/c18/artifacts/v2q_c18_65411953411ff5b0/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_65411953411ff5b0/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..eaa83e61e8801cc4c633a4daceb517dabbc12021 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_65411953411ff5b0/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": "2026-05-19T16:08:12.910890+00:00", + "ended_at": "2026-05-19T16:08:16.133151+00:00", + "elapsed_ms": 3222.23, + "returncode": 1, + "prompt_metrics": { + "chars": 9987, + "bytes_utf8": 9991, + "lines": 264, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/c18/artifacts/v2q_c18_65411953411ff5b0/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_65411953411ff5b0/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4ecfedcf86e6935bb2ab71b56b70b3c5c1fc74cb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_65411953411ff5b0/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,264 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c18 +- dataset_name: Wine Reviews +- table_name: c18 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 13 feature columns and target `country`. +- task_type: classification +- target_column: country +- main_row_count: 129971 +- important_fields: +- row_id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for row id. +- country: role=target, type=categorical_target. tags=['condition_candidate', 'target_candidate', 'missingness_candidate'] desc=Target field for country. +- description: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for description. +- designation: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for designation. +- points: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for points. +- price: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for price. +- province: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for province. +- region_1: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for region 1. +- region_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for region 2. +- taster_name: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for taster name. +- taster_twitter_handle: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for taster twitter handle. +- title: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for title. +- variety: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for variety. +- winery: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for winery. +- useful_field_combinations: [['points', 'price', 'country'], ['points', 'points', 'country']] +- fields_requiring_caution: ['country', 'description', 'designation', 'price'] +- source_url: https://www.kaggle.com/datasets/zynicide/wine-reviews + +SQLite schema snapshot: +{ + "table_name": "c18", + "quoted_table_name": "\"c18\"", + "row_count": 129971, + "columns": [ + { + "name": "row_id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "description", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "designation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "points", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "province", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "taster_name", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "taster_twitter_handle", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "title", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "variety", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "winery", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "row_id": "0", + "country": "Italy", + "description": "Aromas include tropical fruit, broom, brimstone and dried herb. The palate isn't overly expressive, offering unripened apple, citrus and dried sage alongside brisk acidity.", + "designation": "Vulkà Bianco", + "points": "87", + "price": "", + "province": "Sicily & Sardinia", + "region_1": "Etna", + "region_2": "", + "taster_name": "Kerin O’Keefe", + "taster_twitter_handle": "@kerinokeefe", + "title": "Nicosia 2013 Vulkà Bianco (Etna)", + "variety": "White Blend", + "winery": "Nicosia" + }, + { + "row_id": "1", + "country": "Portugal", + "description": "This is ripe and fruity, a wine that is smooth while still structured. Firm tannins are filled out with juicy red berry fruits and freshened with acidity. It's already drinkable, although it will certainly be better from 2016.", + "designation": "Avidagos", + "points": "87", + "price": "15.0", + "province": "Douro", + "region_1": "", + "region_2": "", + "taster_name": "Roger Voss", + "taster_twitter_handle": "@vossroger", + "title": "Quinta dos Avidagos 2011 Avidagos Red (Douro)", + "variety": "Portuguese Red", + "winery": "Quinta dos Avidagos" + }, + { + "row_id": "2", + "country": "US", + "description": "Tart and snappy, the flavors of lime flesh and rind dominate. Some green pineapple pokes through, with crisp acidity underscoring the flavors. The wine was all stainless-steel fermented.", + "designation": "", + "points": "87", + "price": "14.0", + "province": "Oregon", + "region_1": "Willamette Valley", + "region_2": "Willamette Valley", + "taster_name": "Paul Gregutt", + "taster_twitter_handle": "@paulgwine", + "title": "Rainstorm 2013 Pinot Gris (Willamette Valley)", + "variety": "Pinot Gris", + "winery": "Rainstorm" + }, + { + "row_id": "3", + "country": "US", + "description": "Pineapple rind, lemon pith and orange blossom start off the aromas. The palate is a bit more opulent, with notes of honey-drizzled guava and mango giving way to a slightly astringent, semidry finish.", + "designation": "Reserve Late Harvest", + "points": "87", + "price": "13.0", + "province": "Michigan", + "region_1": "Lake Michigan Shore", + "region_2": "", + "taster_name": "Alexander Peartree", + "taster_twitter_handle": "", + "title": "St. Julian 2013 Reserve Late Harvest Riesling (Lake Michigan Shore)", + "variety": "Riesling", + "winery": "St. Julian" + }, + { + "row_id": "4", + "country": "US", + "description": "Much like the regular bottling from 2012, this comes across as rather rough and tannic, with rustic, earthy, herbal characteristics. Nonetheless, if you think of it as a pleasantly unfussy country wine, it's a good companion to a hearty winter stew.", + "designation": "Vintner's Reserve Wild Child Block", + "points": "87", + "price": "65.0", + "province": "Oregon", + "region_1": "Willamette Valley", + "region_2": "Willamette Valley", + "taster_name": "Paul Gregutt", + "taster_twitter_handle": "@paulgwine", + "title": "Sweet Cheeks 2012 Vintner's Reserve Wild Child Block Pinot Noir (Willamette Valley)", + "variety": "Pinot Noir", + "winery": "Sweet Cheeks" + } + ] +} + +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": "c18", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=taster_name, measure_col=row_id.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "taster_name", + "measure_col": "row_id", + "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": 56702.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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/c18/artifacts/v2q_c18_65411953411ff5b0/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_65411953411ff5b0/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..4ecfedcf86e6935bb2ab71b56b70b3c5c1fc74cb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_65411953411ff5b0/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,264 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c18 +- dataset_name: Wine Reviews +- table_name: c18 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 13 feature columns and target `country`. +- task_type: classification +- target_column: country +- main_row_count: 129971 +- important_fields: +- row_id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for row id. +- country: role=target, type=categorical_target. tags=['condition_candidate', 'target_candidate', 'missingness_candidate'] desc=Target field for country. +- description: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for description. +- designation: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for designation. +- points: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for points. +- price: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for price. +- province: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for province. +- region_1: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for region 1. +- region_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for region 2. +- taster_name: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for taster name. +- taster_twitter_handle: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for taster twitter handle. +- title: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for title. +- variety: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for variety. +- winery: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for winery. +- useful_field_combinations: [['points', 'price', 'country'], ['points', 'points', 'country']] +- fields_requiring_caution: ['country', 'description', 'designation', 'price'] +- source_url: https://www.kaggle.com/datasets/zynicide/wine-reviews + +SQLite schema snapshot: +{ + "table_name": "c18", + "quoted_table_name": "\"c18\"", + "row_count": 129971, + "columns": [ + { + "name": "row_id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "description", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "designation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "points", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "province", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "taster_name", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "taster_twitter_handle", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "title", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "variety", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "winery", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "row_id": "0", + "country": "Italy", + "description": "Aromas include tropical fruit, broom, brimstone and dried herb. The palate isn't overly expressive, offering unripened apple, citrus and dried sage alongside brisk acidity.", + "designation": "Vulkà Bianco", + "points": "87", + "price": "", + "province": "Sicily & Sardinia", + "region_1": "Etna", + "region_2": "", + "taster_name": "Kerin O’Keefe", + "taster_twitter_handle": "@kerinokeefe", + "title": "Nicosia 2013 Vulkà Bianco (Etna)", + "variety": "White Blend", + "winery": "Nicosia" + }, + { + "row_id": "1", + "country": "Portugal", + "description": "This is ripe and fruity, a wine that is smooth while still structured. Firm tannins are filled out with juicy red berry fruits and freshened with acidity. It's already drinkable, although it will certainly be better from 2016.", + "designation": "Avidagos", + "points": "87", + "price": "15.0", + "province": "Douro", + "region_1": "", + "region_2": "", + "taster_name": "Roger Voss", + "taster_twitter_handle": "@vossroger", + "title": "Quinta dos Avidagos 2011 Avidagos Red (Douro)", + "variety": "Portuguese Red", + "winery": "Quinta dos Avidagos" + }, + { + "row_id": "2", + "country": "US", + "description": "Tart and snappy, the flavors of lime flesh and rind dominate. Some green pineapple pokes through, with crisp acidity underscoring the flavors. The wine was all stainless-steel fermented.", + "designation": "", + "points": "87", + "price": "14.0", + "province": "Oregon", + "region_1": "Willamette Valley", + "region_2": "Willamette Valley", + "taster_name": "Paul Gregutt", + "taster_twitter_handle": "@paulgwine", + "title": "Rainstorm 2013 Pinot Gris (Willamette Valley)", + "variety": "Pinot Gris", + "winery": "Rainstorm" + }, + { + "row_id": "3", + "country": "US", + "description": "Pineapple rind, lemon pith and orange blossom start off the aromas. The palate is a bit more opulent, with notes of honey-drizzled guava and mango giving way to a slightly astringent, semidry finish.", + "designation": "Reserve Late Harvest", + "points": "87", + "price": "13.0", + "province": "Michigan", + "region_1": "Lake Michigan Shore", + "region_2": "", + "taster_name": "Alexander Peartree", + "taster_twitter_handle": "", + "title": "St. Julian 2013 Reserve Late Harvest Riesling (Lake Michigan Shore)", + "variety": "Riesling", + "winery": "St. Julian" + }, + { + "row_id": "4", + "country": "US", + "description": "Much like the regular bottling from 2012, this comes across as rather rough and tannic, with rustic, earthy, herbal characteristics. Nonetheless, if you think of it as a pleasantly unfussy country wine, it's a good companion to a hearty winter stew.", + "designation": "Vintner's Reserve Wild Child Block", + "points": "87", + "price": "65.0", + "province": "Oregon", + "region_1": "Willamette Valley", + "region_2": "Willamette Valley", + "taster_name": "Paul Gregutt", + "taster_twitter_handle": "@paulgwine", + "title": "Sweet Cheeks 2012 Vintner's Reserve Wild Child Block Pinot Noir (Willamette Valley)", + "variety": "Pinot Noir", + "winery": "Sweet Cheeks" + } + ] +} + +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": "c18", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=taster_name, measure_col=row_id.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "taster_name", + "measure_col": "row_id", + "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": 56702.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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/c18/artifacts/v2q_c18_65411953411ff5b0/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_65411953411ff5b0/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..3fd63f90413f03a9bf8eb21290fe722f3e33a1fc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_65411953411ff5b0/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-9d03-74f1-ba21-447bab636479"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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/c18/artifacts/v2q_c18_65411953411ff5b0/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_65411953411ff5b0/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1407e67b03ec2f20b1d9c592b142a4a5685b89cf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_65411953411ff5b0/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-9d03-74f1-ba21-447bab636479"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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/c18/artifacts/v2q_c18_65411953411ff5b0/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_65411953411ff5b0/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..66d412a9473d1ca50aa1066294f831056cb371c5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_65411953411ff5b0/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-ae79-7a50-a2a3-e8ad3909a011"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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/c18/artifacts/v2q_c18_65411953411ff5b0/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_65411953411ff5b0/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..3d85a3ef2b7aa7aef34fff6907cbdaa526bcc48b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_65411953411ff5b0/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-ae79-7a50-a2a3-e8ad3909a011"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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/c18/artifacts/v2q_c18_65411953411ff5b0/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_65411953411ff5b0/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/c18/artifacts/v2q_c18_65411953411ff5b0/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_65411953411ff5b0/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/c18/artifacts/v2q_c18_670def1fffa958cb/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_670def1fffa958cb/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1fba985484c7998f80b89c954308d24fe86dd929 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_670def1fffa958cb/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9800, "bytes_utf8": 9804, "lines": 262, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 351, "bytes_utf8": 351, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14818, "cached_input_tokens": 12032, "output_tokens": 380, "reasoning_output_tokens": 287}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_670def1fffa958cb/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_670def1fffa958cb/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..ee0566ea202203632164722a42e74de5bc101bda --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_670def1fffa958cb/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "c18", + "model": "v2-cli:codex", + "run_id": "v2q_c18_670def1fffa958cb", + "api_calls": 0, + "input_tokens": 14818, + "cached_input_tokens": 12032, + "output_tokens": 380, + "total_tokens": 15198, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 19005.7, + "sql_execution_elapsed_ms_total": 122.11, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_670def1fffa958cb/cli/conversation.jsonl", + "note": "Executed through a 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/c18/artifacts/v2q_c18_670def1fffa958cb/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_670def1fffa958cb/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1b8a92d8d1a2fbcacdcdfa477b517ec3057d9edd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_670def1fffa958cb/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:33:28.676971+00:00", + "ended_at": "2026-05-19T15:33:47.682739+00:00", + "elapsed_ms": 19005.7, + "prompt_metrics": { + "chars": 9800, + "bytes_utf8": 9804, + "lines": 262, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1375, + "bytes_utf8": 1375, + "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": 351, + "bytes_utf8": 351, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14818, + "cached_input_tokens": 12032, + "output_tokens": 380, + "reasoning_output_tokens": 287 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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/c18/artifacts/v2q_c18_670def1fffa958cb/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_670def1fffa958cb/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1555769b1edc257242d873df4e3664e9254a1feb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_670def1fffa958cb/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,262 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c18 +- dataset_name: Wine Reviews +- table_name: c18 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 13 feature columns and target `country`. +- task_type: classification +- target_column: country +- main_row_count: 129971 +- important_fields: +- row_id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for row id. +- country: role=target, type=categorical_target. tags=['condition_candidate', 'target_candidate', 'missingness_candidate'] desc=Target field for country. +- description: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for description. +- designation: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for designation. +- points: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for points. +- price: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for price. +- province: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for province. +- region_1: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for region 1. +- region_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for region 2. +- taster_name: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for taster name. +- taster_twitter_handle: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for taster twitter handle. +- title: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for title. +- variety: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for variety. +- winery: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for winery. +- useful_field_combinations: [['points', 'price', 'country'], ['points', 'points', 'country']] +- fields_requiring_caution: ['country', 'description', 'designation', 'price'] +- source_url: https://www.kaggle.com/datasets/zynicide/wine-reviews + +SQLite schema snapshot: +{ + "table_name": "c18", + "quoted_table_name": "\"c18\"", + "row_count": 129971, + "columns": [ + { + "name": "row_id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "description", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "designation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "points", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "province", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "taster_name", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "taster_twitter_handle", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "title", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "variety", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "winery", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "row_id": "0", + "country": "Italy", + "description": "Aromas include tropical fruit, broom, brimstone and dried herb. The palate isn't overly expressive, offering unripened apple, citrus and dried sage alongside brisk acidity.", + "designation": "Vulkà Bianco", + "points": "87", + "price": "", + "province": "Sicily & Sardinia", + "region_1": "Etna", + "region_2": "", + "taster_name": "Kerin O’Keefe", + "taster_twitter_handle": "@kerinokeefe", + "title": "Nicosia 2013 Vulkà Bianco (Etna)", + "variety": "White Blend", + "winery": "Nicosia" + }, + { + "row_id": "1", + "country": "Portugal", + "description": "This is ripe and fruity, a wine that is smooth while still structured. Firm tannins are filled out with juicy red berry fruits and freshened with acidity. It's already drinkable, although it will certainly be better from 2016.", + "designation": "Avidagos", + "points": "87", + "price": "15.0", + "province": "Douro", + "region_1": "", + "region_2": "", + "taster_name": "Roger Voss", + "taster_twitter_handle": "@vossroger", + "title": "Quinta dos Avidagos 2011 Avidagos Red (Douro)", + "variety": "Portuguese Red", + "winery": "Quinta dos Avidagos" + }, + { + "row_id": "2", + "country": "US", + "description": "Tart and snappy, the flavors of lime flesh and rind dominate. Some green pineapple pokes through, with crisp acidity underscoring the flavors. The wine was all stainless-steel fermented.", + "designation": "", + "points": "87", + "price": "14.0", + "province": "Oregon", + "region_1": "Willamette Valley", + "region_2": "Willamette Valley", + "taster_name": "Paul Gregutt", + "taster_twitter_handle": "@paulgwine", + "title": "Rainstorm 2013 Pinot Gris (Willamette Valley)", + "variety": "Pinot Gris", + "winery": "Rainstorm" + }, + { + "row_id": "3", + "country": "US", + "description": "Pineapple rind, lemon pith and orange blossom start off the aromas. The palate is a bit more opulent, with notes of honey-drizzled guava and mango giving way to a slightly astringent, semidry finish.", + "designation": "Reserve Late Harvest", + "points": "87", + "price": "13.0", + "province": "Michigan", + "region_1": "Lake Michigan Shore", + "region_2": "", + "taster_name": "Alexander Peartree", + "taster_twitter_handle": "", + "title": "St. Julian 2013 Reserve Late Harvest Riesling (Lake Michigan Shore)", + "variety": "Riesling", + "winery": "St. Julian" + }, + { + "row_id": "4", + "country": "US", + "description": "Much like the regular bottling from 2012, this comes across as rather rough and tannic, with rustic, earthy, herbal characteristics. Nonetheless, if you think of it as a pleasantly unfussy country wine, it's a good companion to a hearty winter stew.", + "designation": "Vintner's Reserve Wild Child Block", + "points": "87", + "price": "65.0", + "province": "Oregon", + "region_1": "Willamette Valley", + "region_2": "Willamette Valley", + "taster_name": "Paul Gregutt", + "taster_twitter_handle": "@paulgwine", + "title": "Sweet Cheeks 2012 Vintner's Reserve Wild Child Block Pinot Noir (Willamette Valley)", + "variety": "Pinot Noir", + "winery": "Sweet Cheeks" + } + ] +} + +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": "c18", + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=price.", + "planned_template_id": "tpl_clickbench_group_count", + "bindings": { + "group_col": "price", + "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": 90.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/c18/artifacts/v2q_c18_670def1fffa958cb/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_670def1fffa958cb/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5a7a7051d213f1bee210be820c0263c2d1fad857 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_670def1fffa958cb/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,6 @@ +{"type":"thread.started","thread_id":"019e40de-e0f4-7223-acd1-68d68212083b"} +{"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 15453. Please try again in 463ms. 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 15453. Please try again in 463ms. 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 \\\"price\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"c18\\\"\\nGROUP BY \\\"price\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Uses the required grouped-count template with group_col bound to \\\"price\\\". \\\"price\\\" is stored as TEXT here, so empty strings and text-formatted numeric values are grouped as-is.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14818,"cached_input_tokens":12032,"output_tokens":380,"reasoning_output_tokens":287}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_670def1fffa958cb/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_670def1fffa958cb/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1dc08ee5b6dc07c502d3df934a8dc4214dec8c59 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_670def1fffa958cb/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_clickbench_group_count\nSELECT \"price\", COUNT(*) AS \"row_count\"\nFROM \"c18\"\nGROUP BY \"price\"\nORDER BY \"row_count\" DESC;","notes":"Uses the required grouped-count template with group_col bound to \"price\". \"price\" is stored as TEXT here, so empty strings and text-formatted numeric values are grouped as-is."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_670def1fffa958cb/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_670def1fffa958cb/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/c18/artifacts/v2q_c18_6a67259637d022e0/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_6a67259637d022e0/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..38e351f4e4154c3cb19d8798918ab11417873bf0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_6a67259637d022e0/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:55:59.022848+00:00", + "ended_at": "2026-05-19T15:56:02.370713+00:00", + "elapsed_ms": 3347.83, + "returncode": 1, + "prompt_metrics": { + "chars": 10078, + "bytes_utf8": 10082, + "lines": 264, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/c18/artifacts/v2q_c18_6a67259637d022e0/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_6a67259637d022e0/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f68c1e429224e6f9807ca0eda02ea1c689610c0d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_6a67259637d022e0/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:56:03.372688+00:00", + "ended_at": "2026-05-19T15:56:06.454222+00:00", + "elapsed_ms": 3081.49, + "returncode": 1, + "prompt_metrics": { + "chars": 10078, + "bytes_utf8": 10082, + "lines": 264, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/c18/artifacts/v2q_c18_6a67259637d022e0/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_6a67259637d022e0/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..676a345466b9699da70747a0831e4a2c9c351a05 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_6a67259637d022e0/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,264 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c18 +- dataset_name: Wine Reviews +- table_name: c18 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 13 feature columns and target `country`. +- task_type: classification +- target_column: country +- main_row_count: 129971 +- important_fields: +- row_id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for row id. +- country: role=target, type=categorical_target. tags=['condition_candidate', 'target_candidate', 'missingness_candidate'] desc=Target field for country. +- description: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for description. +- designation: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for designation. +- points: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for points. +- price: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for price. +- province: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for province. +- region_1: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for region 1. +- region_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for region 2. +- taster_name: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for taster name. +- taster_twitter_handle: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for taster twitter handle. +- title: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for title. +- variety: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for variety. +- winery: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for winery. +- useful_field_combinations: [['points', 'price', 'country'], ['points', 'points', 'country']] +- fields_requiring_caution: ['country', 'description', 'designation', 'price'] +- source_url: https://www.kaggle.com/datasets/zynicide/wine-reviews + +SQLite schema snapshot: +{ + "table_name": "c18", + "quoted_table_name": "\"c18\"", + "row_count": 129971, + "columns": [ + { + "name": "row_id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "description", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "designation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "points", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "province", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "taster_name", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "taster_twitter_handle", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "title", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "variety", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "winery", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "row_id": "0", + "country": "Italy", + "description": "Aromas include tropical fruit, broom, brimstone and dried herb. The palate isn't overly expressive, offering unripened apple, citrus and dried sage alongside brisk acidity.", + "designation": "Vulkà Bianco", + "points": "87", + "price": "", + "province": "Sicily & Sardinia", + "region_1": "Etna", + "region_2": "", + "taster_name": "Kerin O’Keefe", + "taster_twitter_handle": "@kerinokeefe", + "title": "Nicosia 2013 Vulkà Bianco (Etna)", + "variety": "White Blend", + "winery": "Nicosia" + }, + { + "row_id": "1", + "country": "Portugal", + "description": "This is ripe and fruity, a wine that is smooth while still structured. Firm tannins are filled out with juicy red berry fruits and freshened with acidity. It's already drinkable, although it will certainly be better from 2016.", + "designation": "Avidagos", + "points": "87", + "price": "15.0", + "province": "Douro", + "region_1": "", + "region_2": "", + "taster_name": "Roger Voss", + "taster_twitter_handle": "@vossroger", + "title": "Quinta dos Avidagos 2011 Avidagos Red (Douro)", + "variety": "Portuguese Red", + "winery": "Quinta dos Avidagos" + }, + { + "row_id": "2", + "country": "US", + "description": "Tart and snappy, the flavors of lime flesh and rind dominate. Some green pineapple pokes through, with crisp acidity underscoring the flavors. The wine was all stainless-steel fermented.", + "designation": "", + "points": "87", + "price": "14.0", + "province": "Oregon", + "region_1": "Willamette Valley", + "region_2": "Willamette Valley", + "taster_name": "Paul Gregutt", + "taster_twitter_handle": "@paulgwine", + "title": "Rainstorm 2013 Pinot Gris (Willamette Valley)", + "variety": "Pinot Gris", + "winery": "Rainstorm" + }, + { + "row_id": "3", + "country": "US", + "description": "Pineapple rind, lemon pith and orange blossom start off the aromas. The palate is a bit more opulent, with notes of honey-drizzled guava and mango giving way to a slightly astringent, semidry finish.", + "designation": "Reserve Late Harvest", + "points": "87", + "price": "13.0", + "province": "Michigan", + "region_1": "Lake Michigan Shore", + "region_2": "", + "taster_name": "Alexander Peartree", + "taster_twitter_handle": "", + "title": "St. Julian 2013 Reserve Late Harvest Riesling (Lake Michigan Shore)", + "variety": "Riesling", + "winery": "St. Julian" + }, + { + "row_id": "4", + "country": "US", + "description": "Much like the regular bottling from 2012, this comes across as rather rough and tannic, with rustic, earthy, herbal characteristics. Nonetheless, if you think of it as a pleasantly unfussy country wine, it's a good companion to a hearty winter stew.", + "designation": "Vintner's Reserve Wild Child Block", + "points": "87", + "price": "65.0", + "province": "Oregon", + "region_1": "Willamette Valley", + "region_2": "Willamette Valley", + "taster_name": "Paul Gregutt", + "taster_twitter_handle": "@paulgwine", + "title": "Sweet Cheeks 2012 Vintner's Reserve Wild Child Block Pinot Noir (Willamette Valley)", + "variety": "Pinot Noir", + "winery": "Sweet Cheeks" + } + ] +} + +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": "c18", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=taster_name, measure_col=points.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "taster_name", + "measure_col": "points", + "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": 89.64, + "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/c18/artifacts/v2q_c18_6a67259637d022e0/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_6a67259637d022e0/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..676a345466b9699da70747a0831e4a2c9c351a05 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_6a67259637d022e0/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,264 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c18 +- dataset_name: Wine Reviews +- table_name: c18 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 13 feature columns and target `country`. +- task_type: classification +- target_column: country +- main_row_count: 129971 +- important_fields: +- row_id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for row id. +- country: role=target, type=categorical_target. tags=['condition_candidate', 'target_candidate', 'missingness_candidate'] desc=Target field for country. +- description: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for description. +- designation: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for designation. +- points: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for points. +- price: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for price. +- province: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for province. +- region_1: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for region 1. +- region_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for region 2. +- taster_name: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for taster name. +- taster_twitter_handle: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for taster twitter handle. +- title: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for title. +- variety: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for variety. +- winery: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for winery. +- useful_field_combinations: [['points', 'price', 'country'], ['points', 'points', 'country']] +- fields_requiring_caution: ['country', 'description', 'designation', 'price'] +- source_url: https://www.kaggle.com/datasets/zynicide/wine-reviews + +SQLite schema snapshot: +{ + "table_name": "c18", + "quoted_table_name": "\"c18\"", + "row_count": 129971, + "columns": [ + { + "name": "row_id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "description", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "designation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "points", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "province", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "taster_name", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "taster_twitter_handle", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "title", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "variety", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "winery", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "row_id": "0", + "country": "Italy", + "description": "Aromas include tropical fruit, broom, brimstone and dried herb. The palate isn't overly expressive, offering unripened apple, citrus and dried sage alongside brisk acidity.", + "designation": "Vulkà Bianco", + "points": "87", + "price": "", + "province": "Sicily & Sardinia", + "region_1": "Etna", + "region_2": "", + "taster_name": "Kerin O’Keefe", + "taster_twitter_handle": "@kerinokeefe", + "title": "Nicosia 2013 Vulkà Bianco (Etna)", + "variety": "White Blend", + "winery": "Nicosia" + }, + { + "row_id": "1", + "country": "Portugal", + "description": "This is ripe and fruity, a wine that is smooth while still structured. Firm tannins are filled out with juicy red berry fruits and freshened with acidity. It's already drinkable, although it will certainly be better from 2016.", + "designation": "Avidagos", + "points": "87", + "price": "15.0", + "province": "Douro", + "region_1": "", + "region_2": "", + "taster_name": "Roger Voss", + "taster_twitter_handle": "@vossroger", + "title": "Quinta dos Avidagos 2011 Avidagos Red (Douro)", + "variety": "Portuguese Red", + "winery": "Quinta dos Avidagos" + }, + { + "row_id": "2", + "country": "US", + "description": "Tart and snappy, the flavors of lime flesh and rind dominate. Some green pineapple pokes through, with crisp acidity underscoring the flavors. The wine was all stainless-steel fermented.", + "designation": "", + "points": "87", + "price": "14.0", + "province": "Oregon", + "region_1": "Willamette Valley", + "region_2": "Willamette Valley", + "taster_name": "Paul Gregutt", + "taster_twitter_handle": "@paulgwine", + "title": "Rainstorm 2013 Pinot Gris (Willamette Valley)", + "variety": "Pinot Gris", + "winery": "Rainstorm" + }, + { + "row_id": "3", + "country": "US", + "description": "Pineapple rind, lemon pith and orange blossom start off the aromas. The palate is a bit more opulent, with notes of honey-drizzled guava and mango giving way to a slightly astringent, semidry finish.", + "designation": "Reserve Late Harvest", + "points": "87", + "price": "13.0", + "province": "Michigan", + "region_1": "Lake Michigan Shore", + "region_2": "", + "taster_name": "Alexander Peartree", + "taster_twitter_handle": "", + "title": "St. Julian 2013 Reserve Late Harvest Riesling (Lake Michigan Shore)", + "variety": "Riesling", + "winery": "St. Julian" + }, + { + "row_id": "4", + "country": "US", + "description": "Much like the regular bottling from 2012, this comes across as rather rough and tannic, with rustic, earthy, herbal characteristics. Nonetheless, if you think of it as a pleasantly unfussy country wine, it's a good companion to a hearty winter stew.", + "designation": "Vintner's Reserve Wild Child Block", + "points": "87", + "price": "65.0", + "province": "Oregon", + "region_1": "Willamette Valley", + "region_2": "Willamette Valley", + "taster_name": "Paul Gregutt", + "taster_twitter_handle": "@paulgwine", + "title": "Sweet Cheeks 2012 Vintner's Reserve Wild Child Block Pinot Noir (Willamette Valley)", + "variety": "Pinot Noir", + "winery": "Sweet Cheeks" + } + ] +} + +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": "c18", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=taster_name, measure_col=points.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "taster_name", + "measure_col": "points", + "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": 89.64, + "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/c18/artifacts/v2q_c18_6a67259637d022e0/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_6a67259637d022e0/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..fe69b43d9d391e2eb93f9e0cc8c61892b57d3298 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_6a67259637d022e0/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f3-7bc5-7901-ad47-9e94a28d80df"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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/c18/artifacts/v2q_c18_6a67259637d022e0/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_6a67259637d022e0/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0af3150153afad0bdf8579edcc4b5d9f2453bd96 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_6a67259637d022e0/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f3-7bc5-7901-ad47-9e94a28d80df"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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/c18/artifacts/v2q_c18_6a67259637d022e0/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_6a67259637d022e0/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e74de7e588c913a159b8381d8670fe7ac23c5920 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_6a67259637d022e0/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f3-8cc0-7452-abef-9416b35bb8e2"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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/c18/artifacts/v2q_c18_6a67259637d022e0/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_6a67259637d022e0/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..fc9d234682cd376b400da8a9b13a6c5f51d32195 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_6a67259637d022e0/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f3-8cc0-7452-abef-9416b35bb8e2"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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/c18/artifacts/v2q_c18_6a67259637d022e0/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_6a67259637d022e0/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/c18/artifacts/v2q_c18_6a67259637d022e0/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_6a67259637d022e0/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/c18/artifacts/v2q_c18_7170562ff82252e6/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7170562ff82252e6/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..99ae0461e56277b96c61a75c25a9bbb286258447 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7170562ff82252e6/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": "2026-05-19T16:07:09.570447+00:00", + "ended_at": "2026-05-19T16:07:12.801136+00:00", + "elapsed_ms": 3230.66, + "returncode": 1, + "prompt_metrics": { + "chars": 10002, + "bytes_utf8": 10006, + "lines": 264, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/c18/artifacts/v2q_c18_7170562ff82252e6/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7170562ff82252e6/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a2ac42132bb2b57a63999d6a5f62f1aa7c0178d7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7170562ff82252e6/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": "2026-05-19T16:07:13.802706+00:00", + "ended_at": "2026-05-19T16:07:16.757543+00:00", + "elapsed_ms": 2954.8, + "returncode": 1, + "prompt_metrics": { + "chars": 10002, + "bytes_utf8": 10006, + "lines": 264, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/c18/artifacts/v2q_c18_7170562ff82252e6/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7170562ff82252e6/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0e5704ba83ddd766355a9c2f6ced615c7cd47d63 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7170562ff82252e6/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,264 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c18 +- dataset_name: Wine Reviews +- table_name: c18 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 13 feature columns and target `country`. +- task_type: classification +- target_column: country +- main_row_count: 129971 +- important_fields: +- row_id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for row id. +- country: role=target, type=categorical_target. tags=['condition_candidate', 'target_candidate', 'missingness_candidate'] desc=Target field for country. +- description: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for description. +- designation: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for designation. +- points: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for points. +- price: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for price. +- province: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for province. +- region_1: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for region 1. +- region_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for region 2. +- taster_name: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for taster name. +- taster_twitter_handle: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for taster twitter handle. +- title: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for title. +- variety: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for variety. +- winery: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for winery. +- useful_field_combinations: [['points', 'price', 'country'], ['points', 'points', 'country']] +- fields_requiring_caution: ['country', 'description', 'designation', 'price'] +- source_url: https://www.kaggle.com/datasets/zynicide/wine-reviews + +SQLite schema snapshot: +{ + "table_name": "c18", + "quoted_table_name": "\"c18\"", + "row_count": 129971, + "columns": [ + { + "name": "row_id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "description", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "designation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "points", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "province", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "taster_name", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "taster_twitter_handle", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "title", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "variety", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "winery", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "row_id": "0", + "country": "Italy", + "description": "Aromas include tropical fruit, broom, brimstone and dried herb. The palate isn't overly expressive, offering unripened apple, citrus and dried sage alongside brisk acidity.", + "designation": "Vulkà Bianco", + "points": "87", + "price": "", + "province": "Sicily & Sardinia", + "region_1": "Etna", + "region_2": "", + "taster_name": "Kerin O’Keefe", + "taster_twitter_handle": "@kerinokeefe", + "title": "Nicosia 2013 Vulkà Bianco (Etna)", + "variety": "White Blend", + "winery": "Nicosia" + }, + { + "row_id": "1", + "country": "Portugal", + "description": "This is ripe and fruity, a wine that is smooth while still structured. Firm tannins are filled out with juicy red berry fruits and freshened with acidity. It's already drinkable, although it will certainly be better from 2016.", + "designation": "Avidagos", + "points": "87", + "price": "15.0", + "province": "Douro", + "region_1": "", + "region_2": "", + "taster_name": "Roger Voss", + "taster_twitter_handle": "@vossroger", + "title": "Quinta dos Avidagos 2011 Avidagos Red (Douro)", + "variety": "Portuguese Red", + "winery": "Quinta dos Avidagos" + }, + { + "row_id": "2", + "country": "US", + "description": "Tart and snappy, the flavors of lime flesh and rind dominate. Some green pineapple pokes through, with crisp acidity underscoring the flavors. The wine was all stainless-steel fermented.", + "designation": "", + "points": "87", + "price": "14.0", + "province": "Oregon", + "region_1": "Willamette Valley", + "region_2": "Willamette Valley", + "taster_name": "Paul Gregutt", + "taster_twitter_handle": "@paulgwine", + "title": "Rainstorm 2013 Pinot Gris (Willamette Valley)", + "variety": "Pinot Gris", + "winery": "Rainstorm" + }, + { + "row_id": "3", + "country": "US", + "description": "Pineapple rind, lemon pith and orange blossom start off the aromas. The palate is a bit more opulent, with notes of honey-drizzled guava and mango giving way to a slightly astringent, semidry finish.", + "designation": "Reserve Late Harvest", + "points": "87", + "price": "13.0", + "province": "Michigan", + "region_1": "Lake Michigan Shore", + "region_2": "", + "taster_name": "Alexander Peartree", + "taster_twitter_handle": "", + "title": "St. Julian 2013 Reserve Late Harvest Riesling (Lake Michigan Shore)", + "variety": "Riesling", + "winery": "St. Julian" + }, + { + "row_id": "4", + "country": "US", + "description": "Much like the regular bottling from 2012, this comes across as rather rough and tannic, with rustic, earthy, herbal characteristics. Nonetheless, if you think of it as a pleasantly unfussy country wine, it's a good companion to a hearty winter stew.", + "designation": "Vintner's Reserve Wild Child Block", + "points": "87", + "price": "65.0", + "province": "Oregon", + "region_1": "Willamette Valley", + "region_2": "Willamette Valley", + "taster_name": "Paul Gregutt", + "taster_twitter_handle": "@paulgwine", + "title": "Sweet Cheeks 2012 Vintner's Reserve Wild Child Block Pinot Noir (Willamette Valley)", + "variety": "Pinot Noir", + "winery": "Sweet Cheeks" + } + ] +} + +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": "c18", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=taster_twitter_handle, measure_col=price.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "taster_twitter_handle", + "measure_col": "price", + "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": 22.48, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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/c18/artifacts/v2q_c18_7170562ff82252e6/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7170562ff82252e6/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..0e5704ba83ddd766355a9c2f6ced615c7cd47d63 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7170562ff82252e6/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,264 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c18 +- dataset_name: Wine Reviews +- table_name: c18 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 13 feature columns and target `country`. +- task_type: classification +- target_column: country +- main_row_count: 129971 +- important_fields: +- row_id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for row id. +- country: role=target, type=categorical_target. tags=['condition_candidate', 'target_candidate', 'missingness_candidate'] desc=Target field for country. +- description: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for description. +- designation: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for designation. +- points: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for points. +- price: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for price. +- province: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for province. +- region_1: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for region 1. +- region_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for region 2. +- taster_name: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for taster name. +- taster_twitter_handle: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for taster twitter handle. +- title: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for title. +- variety: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for variety. +- winery: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for winery. +- useful_field_combinations: [['points', 'price', 'country'], ['points', 'points', 'country']] +- fields_requiring_caution: ['country', 'description', 'designation', 'price'] +- source_url: https://www.kaggle.com/datasets/zynicide/wine-reviews + +SQLite schema snapshot: +{ + "table_name": "c18", + "quoted_table_name": "\"c18\"", + "row_count": 129971, + "columns": [ + { + "name": "row_id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "description", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "designation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "points", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "province", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "taster_name", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "taster_twitter_handle", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "title", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "variety", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "winery", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "row_id": "0", + "country": "Italy", + "description": "Aromas include tropical fruit, broom, brimstone and dried herb. The palate isn't overly expressive, offering unripened apple, citrus and dried sage alongside brisk acidity.", + "designation": "Vulkà Bianco", + "points": "87", + "price": "", + "province": "Sicily & Sardinia", + "region_1": "Etna", + "region_2": "", + "taster_name": "Kerin O’Keefe", + "taster_twitter_handle": "@kerinokeefe", + "title": "Nicosia 2013 Vulkà Bianco (Etna)", + "variety": "White Blend", + "winery": "Nicosia" + }, + { + "row_id": "1", + "country": "Portugal", + "description": "This is ripe and fruity, a wine that is smooth while still structured. Firm tannins are filled out with juicy red berry fruits and freshened with acidity. It's already drinkable, although it will certainly be better from 2016.", + "designation": "Avidagos", + "points": "87", + "price": "15.0", + "province": "Douro", + "region_1": "", + "region_2": "", + "taster_name": "Roger Voss", + "taster_twitter_handle": "@vossroger", + "title": "Quinta dos Avidagos 2011 Avidagos Red (Douro)", + "variety": "Portuguese Red", + "winery": "Quinta dos Avidagos" + }, + { + "row_id": "2", + "country": "US", + "description": "Tart and snappy, the flavors of lime flesh and rind dominate. Some green pineapple pokes through, with crisp acidity underscoring the flavors. The wine was all stainless-steel fermented.", + "designation": "", + "points": "87", + "price": "14.0", + "province": "Oregon", + "region_1": "Willamette Valley", + "region_2": "Willamette Valley", + "taster_name": "Paul Gregutt", + "taster_twitter_handle": "@paulgwine", + "title": "Rainstorm 2013 Pinot Gris (Willamette Valley)", + "variety": "Pinot Gris", + "winery": "Rainstorm" + }, + { + "row_id": "3", + "country": "US", + "description": "Pineapple rind, lemon pith and orange blossom start off the aromas. The palate is a bit more opulent, with notes of honey-drizzled guava and mango giving way to a slightly astringent, semidry finish.", + "designation": "Reserve Late Harvest", + "points": "87", + "price": "13.0", + "province": "Michigan", + "region_1": "Lake Michigan Shore", + "region_2": "", + "taster_name": "Alexander Peartree", + "taster_twitter_handle": "", + "title": "St. Julian 2013 Reserve Late Harvest Riesling (Lake Michigan Shore)", + "variety": "Riesling", + "winery": "St. Julian" + }, + { + "row_id": "4", + "country": "US", + "description": "Much like the regular bottling from 2012, this comes across as rather rough and tannic, with rustic, earthy, herbal characteristics. Nonetheless, if you think of it as a pleasantly unfussy country wine, it's a good companion to a hearty winter stew.", + "designation": "Vintner's Reserve Wild Child Block", + "points": "87", + "price": "65.0", + "province": "Oregon", + "region_1": "Willamette Valley", + "region_2": "Willamette Valley", + "taster_name": "Paul Gregutt", + "taster_twitter_handle": "@paulgwine", + "title": "Sweet Cheeks 2012 Vintner's Reserve Wild Child Block Pinot Noir (Willamette Valley)", + "variety": "Pinot Noir", + "winery": "Sweet Cheeks" + } + ] +} + +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": "c18", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=taster_twitter_handle, measure_col=price.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "taster_twitter_handle", + "measure_col": "price", + "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": 22.48, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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/c18/artifacts/v2q_c18_7170562ff82252e6/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7170562ff82252e6/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..662d0f86b2f5415b162cac1c9b232fb42f535cd1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7170562ff82252e6/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-b700-7d20-9d11-7ea4ddbb25ac"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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/c18/artifacts/v2q_c18_7170562ff82252e6/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7170562ff82252e6/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e7d40bac1aedf8a1c421c4eacb9f5aab67fe787e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7170562ff82252e6/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-b700-7d20-9d11-7ea4ddbb25ac"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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/c18/artifacts/v2q_c18_7170562ff82252e6/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7170562ff82252e6/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e3302b150411fca38d9800b05b280a0d326b19ca --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7170562ff82252e6/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-c78b-7d82-8e93-e5fa13dc0d3e"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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/c18/artifacts/v2q_c18_7170562ff82252e6/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7170562ff82252e6/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..db56e423e1583e0c1f23165820221f6f755299fd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7170562ff82252e6/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-c78b-7d82-8e93-e5fa13dc0d3e"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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/c18/artifacts/v2q_c18_7170562ff82252e6/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7170562ff82252e6/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/c18/artifacts/v2q_c18_7170562ff82252e6/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7170562ff82252e6/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/c18/artifacts/v2q_c18_8660e0c4418ab198/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_8660e0c4418ab198/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d74f15bc3177a397814b7de772184d92c7a0d977 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_8660e0c4418ab198/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10149, "bytes_utf8": 10153, "lines": 267, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 400, "bytes_utf8": 400, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14905, "cached_input_tokens": 12032, "output_tokens": 438, "reasoning_output_tokens": 335}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_8660e0c4418ab198/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_8660e0c4418ab198/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..2378da6a2030fe489b88f48e1746adbfa9d54331 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_8660e0c4418ab198/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:01:27.364057+00:00", + "ended_at": "2026-05-19T16:01:37.292325+00:00", + "elapsed_ms": 9928.23, + "prompt_metrics": { + "chars": 10149, + "bytes_utf8": 10153, + "lines": 267, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 755, + "bytes_utf8": 755, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 400, + "bytes_utf8": 400, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14905, + "cached_input_tokens": 12032, + "output_tokens": 438, + "reasoning_output_tokens": 335 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_8660e0c4418ab198/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_8660e0c4418ab198/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6646195419ce6fedd20d526072020badf8699202 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_8660e0c4418ab198/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"points\",\n AVG(CASE WHEN \"country\" = 'US' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"c18\"\nGROUP BY \"points\"\nORDER BY condition_rate DESC;","notes":"Uses the planned Grouped Condition Rate template with group_col=\"points\" and condition_col=\"country\", measuring the within-group proportion of rows where country is US."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_94a064ca4b9c9738/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_94a064ca4b9c9738/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5ee39736e647954e5f4e7ffda5f3573473c0f4b2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_94a064ca4b9c9738/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10066, "bytes_utf8": 10070, "lines": 262, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 606, "bytes_utf8": 606, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14900, "cached_input_tokens": 13696, "output_tokens": 620, "reasoning_output_tokens": 446}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_94a064ca4b9c9738/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_94a064ca4b9c9738/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..c112dae6e36d5c9160fe6c06ce335ea349a5f8da --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_94a064ca4b9c9738/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "c18", + "model": "v2-cli:codex", + "run_id": "v2q_c18_94a064ca4b9c9738", + "api_calls": 0, + "input_tokens": 14900, + "cached_input_tokens": 13696, + "output_tokens": 620, + "total_tokens": 15520, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 20763.26, + "sql_execution_elapsed_ms_total": 221.03, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_94a064ca4b9c9738/cli/conversation.jsonl", + "note": "Executed through a 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/c18/artifacts/v2q_c18_94a064ca4b9c9738/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_94a064ca4b9c9738/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c527ebea46e134e1d9af4bba940b3bb2f3773046 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_94a064ca4b9c9738/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:47:10.940894+00:00", + "ended_at": "2026-05-19T15:47:31.704206+00:00", + "elapsed_ms": 20763.26, + "prompt_metrics": { + "chars": 10066, + "bytes_utf8": 10070, + "lines": 262, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1660, + "bytes_utf8": 1660, + "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": 606, + "bytes_utf8": 606, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14900, + "cached_input_tokens": 13696, + "output_tokens": 620, + "reasoning_output_tokens": 446 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_94a064ca4b9c9738/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_94a064ca4b9c9738/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f203f6017af8c230a45f83ef00765858d372aaeb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_94a064ca4b9c9738/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,262 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c18 +- dataset_name: Wine Reviews +- table_name: c18 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 13 feature columns and target `country`. +- task_type: classification +- target_column: country +- main_row_count: 129971 +- important_fields: +- row_id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for row id. +- country: role=target, type=categorical_target. tags=['condition_candidate', 'target_candidate', 'missingness_candidate'] desc=Target field for country. +- description: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for description. +- designation: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for designation. +- points: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for points. +- price: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for price. +- province: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for province. +- region_1: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for region 1. +- region_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for region 2. +- taster_name: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for taster name. +- taster_twitter_handle: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for taster twitter handle. +- title: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for title. +- variety: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for variety. +- winery: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for winery. +- useful_field_combinations: [['points', 'price', 'country'], ['points', 'points', 'country']] +- fields_requiring_caution: ['country', 'description', 'designation', 'price'] +- source_url: https://www.kaggle.com/datasets/zynicide/wine-reviews + +SQLite schema snapshot: +{ + "table_name": "c18", + "quoted_table_name": "\"c18\"", + "row_count": 129971, + "columns": [ + { + "name": "row_id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "description", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "designation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "points", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "province", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "taster_name", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "taster_twitter_handle", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "title", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "variety", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "winery", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "row_id": "0", + "country": "Italy", + "description": "Aromas include tropical fruit, broom, brimstone and dried herb. The palate isn't overly expressive, offering unripened apple, citrus and dried sage alongside brisk acidity.", + "designation": "Vulkà Bianco", + "points": "87", + "price": "", + "province": "Sicily & Sardinia", + "region_1": "Etna", + "region_2": "", + "taster_name": "Kerin O’Keefe", + "taster_twitter_handle": "@kerinokeefe", + "title": "Nicosia 2013 Vulkà Bianco (Etna)", + "variety": "White Blend", + "winery": "Nicosia" + }, + { + "row_id": "1", + "country": "Portugal", + "description": "This is ripe and fruity, a wine that is smooth while still structured. Firm tannins are filled out with juicy red berry fruits and freshened with acidity. It's already drinkable, although it will certainly be better from 2016.", + "designation": "Avidagos", + "points": "87", + "price": "15.0", + "province": "Douro", + "region_1": "", + "region_2": "", + "taster_name": "Roger Voss", + "taster_twitter_handle": "@vossroger", + "title": "Quinta dos Avidagos 2011 Avidagos Red (Douro)", + "variety": "Portuguese Red", + "winery": "Quinta dos Avidagos" + }, + { + "row_id": "2", + "country": "US", + "description": "Tart and snappy, the flavors of lime flesh and rind dominate. Some green pineapple pokes through, with crisp acidity underscoring the flavors. The wine was all stainless-steel fermented.", + "designation": "", + "points": "87", + "price": "14.0", + "province": "Oregon", + "region_1": "Willamette Valley", + "region_2": "Willamette Valley", + "taster_name": "Paul Gregutt", + "taster_twitter_handle": "@paulgwine", + "title": "Rainstorm 2013 Pinot Gris (Willamette Valley)", + "variety": "Pinot Gris", + "winery": "Rainstorm" + }, + { + "row_id": "3", + "country": "US", + "description": "Pineapple rind, lemon pith and orange blossom start off the aromas. The palate is a bit more opulent, with notes of honey-drizzled guava and mango giving way to a slightly astringent, semidry finish.", + "designation": "Reserve Late Harvest", + "points": "87", + "price": "13.0", + "province": "Michigan", + "region_1": "Lake Michigan Shore", + "region_2": "", + "taster_name": "Alexander Peartree", + "taster_twitter_handle": "", + "title": "St. Julian 2013 Reserve Late Harvest Riesling (Lake Michigan Shore)", + "variety": "Riesling", + "winery": "St. Julian" + }, + { + "row_id": "4", + "country": "US", + "description": "Much like the regular bottling from 2012, this comes across as rather rough and tannic, with rustic, earthy, herbal characteristics. Nonetheless, if you think of it as a pleasantly unfussy country wine, it's a good companion to a hearty winter stew.", + "designation": "Vintner's Reserve Wild Child Block", + "points": "87", + "price": "65.0", + "province": "Oregon", + "region_1": "Willamette Valley", + "region_2": "Willamette Valley", + "taster_name": "Paul Gregutt", + "taster_twitter_handle": "@paulgwine", + "title": "Sweet Cheeks 2012 Vintner's Reserve Wild Child Block Pinot Noir (Willamette Valley)", + "variety": "Pinot Noir", + "winery": "Sweet Cheeks" + } + ] +} + +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": "c18", + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=row_id.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "bindings": { + "measure_col": "row_id", + "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": 56702.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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/c18/artifacts/v2q_c18_94a064ca4b9c9738/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_94a064ca4b9c9738/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..d0f5b1d3db59e8fb1e425cd31d5f844c665e707c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_94a064ca4b9c9738/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,6 @@ +{"type":"thread.started","thread_id":"019e40eb-6d51-75e1-868d-7efd5f5f97ec"} +{"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 1985286, Requested 15535. Please try again in 24ms. 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 15535. Please try again in 466ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH \\\"buckets\\\" AS (\\n SELECT\\n \\\"row_id\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"row_id\\\" AS INTEGER) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"c18\\\"\\n WHERE \\\"row_id\\\" IS NOT NULL AND \\\"row_id\\\" <> ''\\n)\\nSELECT \\\"row_id\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY CAST(\\\"row_id\\\" AS INTEGER) DESC;\",\"notes\":\"Applied the Quantile Tail Slice template with measure_col bound to \\\"row_id\\\". CAST is used because the schema stores \\\"row_id\\\" as TEXT, and empty/null values are excluded to keep the tail bucket numeric-consistent.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14900,"cached_input_tokens":13696,"output_tokens":620,"reasoning_output_tokens":446}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_94a064ca4b9c9738/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_94a064ca4b9c9738/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..72846f9069157085f605fae41a7163a730d4c01b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_94a064ca4b9c9738/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_quantile_tail_slice\nWITH \"buckets\" AS (\n SELECT\n \"row_id\",\n NTILE(10) OVER (ORDER BY CAST(\"row_id\" AS INTEGER) DESC) AS \"tail_bucket\"\n FROM \"c18\"\n WHERE \"row_id\" IS NOT NULL AND \"row_id\" <> ''\n)\nSELECT \"row_id\"\nFROM \"buckets\"\nWHERE \"tail_bucket\" = 1\nORDER BY CAST(\"row_id\" AS INTEGER) DESC;","notes":"Applied the Quantile Tail Slice template with measure_col bound to \"row_id\". CAST is used because the schema stores \"row_id\" as TEXT, and empty/null values are excluded to keep the tail bucket numeric-consistent."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_94a064ca4b9c9738/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_94a064ca4b9c9738/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/c18/artifacts/v2q_c18_9b005b53d4ddf35d/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_9b005b53d4ddf35d/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5b74e9df5e440c62c5540be3172d8933018fd65c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_9b005b53d4ddf35d/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10705, "bytes_utf8": 10709, "lines": 267, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 673, "bytes_utf8": 673, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15052, "cached_input_tokens": 13696, "output_tokens": 665, "reasoning_output_tokens": 480}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_9b005b53d4ddf35d/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_9b005b53d4ddf35d/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..4cab241686dc5a28597d26a0754505106bb00017 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_9b005b53d4ddf35d/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "c18", + "model": "v2-cli:codex", + "run_id": "v2q_c18_9b005b53d4ddf35d", + "api_calls": 0, + "input_tokens": 15052, + "cached_input_tokens": 13696, + "output_tokens": 665, + "total_tokens": 15717, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 16123.31, + "sql_execution_elapsed_ms_total": 91.96, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_9b005b53d4ddf35d/cli/conversation.jsonl", + "note": "Executed through a 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/c18/artifacts/v2q_c18_9b005b53d4ddf35d/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_9b005b53d4ddf35d/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..749ce8ff66b31a01beab5e98e856bc1013141400 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_9b005b53d4ddf35d/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:42:48.138491+00:00", + "ended_at": "2026-05-19T15:43:04.261845+00:00", + "elapsed_ms": 16123.31, + "prompt_metrics": { + "chars": 10705, + "bytes_utf8": 10709, + "lines": 267, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1074, + "bytes_utf8": 1074, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 673, + "bytes_utf8": 673, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15052, + "cached_input_tokens": 13696, + "output_tokens": 665, + "reasoning_output_tokens": 480 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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/c18/artifacts/v2q_c18_9b005b53d4ddf35d/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_9b005b53d4ddf35d/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..53548975411c6c76c986ba3816d7be1c00d2e112 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_9b005b53d4ddf35d/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,267 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c18 +- dataset_name: Wine Reviews +- table_name: c18 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 13 feature columns and target `country`. +- task_type: classification +- target_column: country +- main_row_count: 129971 +- important_fields: +- row_id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for row id. +- country: role=target, type=categorical_target. tags=['condition_candidate', 'target_candidate', 'missingness_candidate'] desc=Target field for country. +- description: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for description. +- designation: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for designation. +- points: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for points. +- price: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for price. +- province: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for province. +- region_1: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for region 1. +- region_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for region 2. +- taster_name: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for taster name. +- taster_twitter_handle: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for taster twitter handle. +- title: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for title. +- variety: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for variety. +- winery: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for winery. +- useful_field_combinations: [['points', 'price', 'country'], ['points', 'points', 'country']] +- fields_requiring_caution: ['country', 'description', 'designation', 'price'] +- source_url: https://www.kaggle.com/datasets/zynicide/wine-reviews + +SQLite schema snapshot: +{ + "table_name": "c18", + "quoted_table_name": "\"c18\"", + "row_count": 129971, + "columns": [ + { + "name": "row_id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "description", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "designation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "points", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "province", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "taster_name", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "taster_twitter_handle", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "title", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "variety", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "winery", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "row_id": "0", + "country": "Italy", + "description": "Aromas include tropical fruit, broom, brimstone and dried herb. The palate isn't overly expressive, offering unripened apple, citrus and dried sage alongside brisk acidity.", + "designation": "Vulkà Bianco", + "points": "87", + "price": "", + "province": "Sicily & Sardinia", + "region_1": "Etna", + "region_2": "", + "taster_name": "Kerin O’Keefe", + "taster_twitter_handle": "@kerinokeefe", + "title": "Nicosia 2013 Vulkà Bianco (Etna)", + "variety": "White Blend", + "winery": "Nicosia" + }, + { + "row_id": "1", + "country": "Portugal", + "description": "This is ripe and fruity, a wine that is smooth while still structured. Firm tannins are filled out with juicy red berry fruits and freshened with acidity. It's already drinkable, although it will certainly be better from 2016.", + "designation": "Avidagos", + "points": "87", + "price": "15.0", + "province": "Douro", + "region_1": "", + "region_2": "", + "taster_name": "Roger Voss", + "taster_twitter_handle": "@vossroger", + "title": "Quinta dos Avidagos 2011 Avidagos Red (Douro)", + "variety": "Portuguese Red", + "winery": "Quinta dos Avidagos" + }, + { + "row_id": "2", + "country": "US", + "description": "Tart and snappy, the flavors of lime flesh and rind dominate. Some green pineapple pokes through, with crisp acidity underscoring the flavors. The wine was all stainless-steel fermented.", + "designation": "", + "points": "87", + "price": "14.0", + "province": "Oregon", + "region_1": "Willamette Valley", + "region_2": "Willamette Valley", + "taster_name": "Paul Gregutt", + "taster_twitter_handle": "@paulgwine", + "title": "Rainstorm 2013 Pinot Gris (Willamette Valley)", + "variety": "Pinot Gris", + "winery": "Rainstorm" + }, + { + "row_id": "3", + "country": "US", + "description": "Pineapple rind, lemon pith and orange blossom start off the aromas. The palate is a bit more opulent, with notes of honey-drizzled guava and mango giving way to a slightly astringent, semidry finish.", + "designation": "Reserve Late Harvest", + "points": "87", + "price": "13.0", + "province": "Michigan", + "region_1": "Lake Michigan Shore", + "region_2": "", + "taster_name": "Alexander Peartree", + "taster_twitter_handle": "", + "title": "St. Julian 2013 Reserve Late Harvest Riesling (Lake Michigan Shore)", + "variety": "Riesling", + "winery": "St. Julian" + }, + { + "row_id": "4", + "country": "US", + "description": "Much like the regular bottling from 2012, this comes across as rather rough and tannic, with rustic, earthy, herbal characteristics. Nonetheless, if you think of it as a pleasantly unfussy country wine, it's a good companion to a hearty winter stew.", + "designation": "Vintner's Reserve Wild Child Block", + "points": "87", + "price": "65.0", + "province": "Oregon", + "region_1": "Willamette Valley", + "region_2": "Willamette Valley", + "taster_name": "Paul Gregutt", + "taster_twitter_handle": "@paulgwine", + "title": "Sweet Cheeks 2012 Vintner's Reserve Wild Child Block Pinot Noir (Willamette Valley)", + "variety": "Pinot Noir", + "winery": "Sweet Cheeks" + } + ] +} + +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": "c18", + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=points, condition_col=country.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "points", + "condition_col": "country", + "condition_value": "US", + "positive_value": "US", + "negative_value": "Portugal", + "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": 90.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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/c18/artifacts/v2q_c18_9b005b53d4ddf35d/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_9b005b53d4ddf35d/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..24bf59022a36cadd972ec97fa7594fafa96222a0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_9b005b53d4ddf35d/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e7-6a51-74e0-b4b7-413ce0c413c6"} +{"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 \\\"points\\\",\\n SUM(CASE WHEN \\\"country\\\" = 'US' THEN 1 ELSE 0 END) AS \\\"numerator_count\\\",\\n SUM(CASE WHEN \\\"country\\\" = 'Portugal' THEN 1 ELSE 0 END) AS \\\"denominator_count\\\"\\n FROM \\\"c18\\\"\\n GROUP BY \\\"points\\\"\\n)\\nSELECT \\\"points\\\",\\n CAST(\\\"numerator_count\\\" AS FLOAT) / NULLIF(\\\"denominator_count\\\", 0) AS \\\"condition_ratio\\\"\\nFROM \\\"grouped\\\"\\nORDER BY \\\"condition_ratio\\\" DESC;\",\"notes\":\"Uses the grouped ratio template with group_col=\\\"points\\\" and condition_col=\\\"country\\\", computing the US-to-Portugal count ratio for each points value.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15052,"cached_input_tokens":13696,"output_tokens":665,"reasoning_output_tokens":480}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_9b005b53d4ddf35d/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_9b005b53d4ddf35d/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c389f857d83e3ae0adeeb6ca7926aafcaff1c8a1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_9b005b53d4ddf35d/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_ratio_two_conditions\nWITH \"grouped\" AS (\n SELECT \"points\",\n SUM(CASE WHEN \"country\" = 'US' THEN 1 ELSE 0 END) AS \"numerator_count\",\n SUM(CASE WHEN \"country\" = 'Portugal' THEN 1 ELSE 0 END) AS \"denominator_count\"\n FROM \"c18\"\n GROUP BY \"points\"\n)\nSELECT \"points\",\n CAST(\"numerator_count\" AS FLOAT) / NULLIF(\"denominator_count\", 0) AS \"condition_ratio\"\nFROM \"grouped\"\nORDER BY \"condition_ratio\" DESC;","notes":"Uses the grouped ratio template with group_col=\"points\" and condition_col=\"country\", computing the US-to-Portugal count ratio for each points value."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_9b005b53d4ddf35d/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_9b005b53d4ddf35d/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/c18/artifacts/v2q_c18_b4989361c23798ca/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b4989361c23798ca/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..af3e3bcb7276216af44f9f89693c4bfb0ee896b1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b4989361c23798ca/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9879, "bytes_utf8": 9883, "lines": 262, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_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": 9879, "bytes_utf8": 9883, "lines": 262, "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": 346, "bytes_utf8": 346, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14853, "cached_input_tokens": 12032, "output_tokens": 442, "reasoning_output_tokens": 345}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b4989361c23798ca/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b4989361c23798ca/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..0188d5170b1ba133062cfae457c2d5f962221fb1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b4989361c23798ca/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c18", + "model": "v2-cli:codex", + "run_id": "v2q_c18_b4989361c23798ca", + "api_calls": 0, + "input_tokens": 14853, + "cached_input_tokens": 12032, + "output_tokens": 442, + "total_tokens": 15295, + "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": 17480.24, + "sql_execution_elapsed_ms_total": 86.85, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b4989361c23798ca/cli/conversation.jsonl", + "note": "Executed through a 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/c18/artifacts/v2q_c18_b4989361c23798ca/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b4989361c23798ca/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ee91f61825c92fd8c3930ded75048445c7b2dbc0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b4989361c23798ca/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": "2026-05-19T16:04:23.288818+00:00", + "ended_at": "2026-05-19T16:04:26.272049+00:00", + "elapsed_ms": 2983.2, + "returncode": 1, + "prompt_metrics": { + "chars": 9879, + "bytes_utf8": 9883, + "lines": 262, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/c18/artifacts/v2q_c18_b4989361c23798ca/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b4989361c23798ca/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..0ab8c1f0ee00a3d68e23a6f3cad44dbce5019f26 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b4989361c23798ca/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": "2026-05-19T16:04:27.273862+00:00", + "ended_at": "2026-05-19T16:04:41.770934+00:00", + "elapsed_ms": 14497.04, + "prompt_metrics": { + "chars": 9879, + "bytes_utf8": 9883, + "lines": 262, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 711, + "bytes_utf8": 711, + "lines": 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": 14853, + "cached_input_tokens": 12032, + "output_tokens": 442, + "reasoning_output_tokens": 345 + } + }, + "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/c18/artifacts/v2q_c18_b4989361c23798ca/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b4989361c23798ca/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..872ad986b5f5185a52f161fa660b75d1835087d8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b4989361c23798ca/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,262 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c18 +- dataset_name: Wine Reviews +- table_name: c18 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 13 feature columns and target `country`. +- task_type: classification +- target_column: country +- main_row_count: 129971 +- important_fields: +- row_id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for row id. +- country: role=target, type=categorical_target. tags=['condition_candidate', 'target_candidate', 'missingness_candidate'] desc=Target field for country. +- description: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for description. +- designation: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for designation. +- points: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for points. +- price: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for price. +- province: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for province. +- region_1: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for region 1. +- region_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for region 2. +- taster_name: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for taster name. +- taster_twitter_handle: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for taster twitter handle. +- title: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for title. +- variety: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for variety. +- winery: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for winery. +- useful_field_combinations: [['points', 'price', 'country'], ['points', 'points', 'country']] +- fields_requiring_caution: ['country', 'description', 'designation', 'price'] +- source_url: https://www.kaggle.com/datasets/zynicide/wine-reviews + +SQLite schema snapshot: +{ + "table_name": "c18", + "quoted_table_name": "\"c18\"", + "row_count": 129971, + "columns": [ + { + "name": "row_id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "description", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "designation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "points", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "province", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "taster_name", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "taster_twitter_handle", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "title", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "variety", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "winery", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "row_id": "0", + "country": "Italy", + "description": "Aromas include tropical fruit, broom, brimstone and dried herb. The palate isn't overly expressive, offering unripened apple, citrus and dried sage alongside brisk acidity.", + "designation": "Vulkà Bianco", + "points": "87", + "price": "", + "province": "Sicily & Sardinia", + "region_1": "Etna", + "region_2": "", + "taster_name": "Kerin O’Keefe", + "taster_twitter_handle": "@kerinokeefe", + "title": "Nicosia 2013 Vulkà Bianco (Etna)", + "variety": "White Blend", + "winery": "Nicosia" + }, + { + "row_id": "1", + "country": "Portugal", + "description": "This is ripe and fruity, a wine that is smooth while still structured. Firm tannins are filled out with juicy red berry fruits and freshened with acidity. It's already drinkable, although it will certainly be better from 2016.", + "designation": "Avidagos", + "points": "87", + "price": "15.0", + "province": "Douro", + "region_1": "", + "region_2": "", + "taster_name": "Roger Voss", + "taster_twitter_handle": "@vossroger", + "title": "Quinta dos Avidagos 2011 Avidagos Red (Douro)", + "variety": "Portuguese Red", + "winery": "Quinta dos Avidagos" + }, + { + "row_id": "2", + "country": "US", + "description": "Tart and snappy, the flavors of lime flesh and rind dominate. Some green pineapple pokes through, with crisp acidity underscoring the flavors. The wine was all stainless-steel fermented.", + "designation": "", + "points": "87", + "price": "14.0", + "province": "Oregon", + "region_1": "Willamette Valley", + "region_2": "Willamette Valley", + "taster_name": "Paul Gregutt", + "taster_twitter_handle": "@paulgwine", + "title": "Rainstorm 2013 Pinot Gris (Willamette Valley)", + "variety": "Pinot Gris", + "winery": "Rainstorm" + }, + { + "row_id": "3", + "country": "US", + "description": "Pineapple rind, lemon pith and orange blossom start off the aromas. The palate is a bit more opulent, with notes of honey-drizzled guava and mango giving way to a slightly astringent, semidry finish.", + "designation": "Reserve Late Harvest", + "points": "87", + "price": "13.0", + "province": "Michigan", + "region_1": "Lake Michigan Shore", + "region_2": "", + "taster_name": "Alexander Peartree", + "taster_twitter_handle": "", + "title": "St. Julian 2013 Reserve Late Harvest Riesling (Lake Michigan Shore)", + "variety": "Riesling", + "winery": "St. Julian" + }, + { + "row_id": "4", + "country": "US", + "description": "Much like the regular bottling from 2012, this comes across as rather rough and tannic, with rustic, earthy, herbal characteristics. Nonetheless, if you think of it as a pleasantly unfussy country wine, it's a good companion to a hearty winter stew.", + "designation": "Vintner's Reserve Wild Child Block", + "points": "87", + "price": "65.0", + "province": "Oregon", + "region_1": "Willamette Valley", + "region_2": "Willamette Valley", + "taster_name": "Paul Gregutt", + "taster_twitter_handle": "@paulgwine", + "title": "Sweet Cheeks 2012 Vintner's Reserve Wild Child Block Pinot Noir (Willamette Valley)", + "variety": "Pinot Noir", + "winery": "Sweet Cheeks" + } + ] +} + +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": "c18", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=price.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "price", + "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": 90.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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/c18/artifacts/v2q_c18_b4989361c23798ca/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b4989361c23798ca/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..872ad986b5f5185a52f161fa660b75d1835087d8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b4989361c23798ca/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,262 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c18 +- dataset_name: Wine Reviews +- table_name: c18 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 13 feature columns and target `country`. +- task_type: classification +- target_column: country +- main_row_count: 129971 +- important_fields: +- row_id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for row id. +- country: role=target, type=categorical_target. tags=['condition_candidate', 'target_candidate', 'missingness_candidate'] desc=Target field for country. +- description: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for description. +- designation: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for designation. +- points: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for points. +- price: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for price. +- province: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for province. +- region_1: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for region 1. +- region_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for region 2. +- taster_name: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for taster name. +- taster_twitter_handle: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for taster twitter handle. +- title: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for title. +- variety: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for variety. +- winery: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for winery. +- useful_field_combinations: [['points', 'price', 'country'], ['points', 'points', 'country']] +- fields_requiring_caution: ['country', 'description', 'designation', 'price'] +- source_url: https://www.kaggle.com/datasets/zynicide/wine-reviews + +SQLite schema snapshot: +{ + "table_name": "c18", + "quoted_table_name": "\"c18\"", + "row_count": 129971, + "columns": [ + { + "name": "row_id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "description", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "designation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "points", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "province", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "taster_name", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "taster_twitter_handle", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "title", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "variety", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "winery", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "row_id": "0", + "country": "Italy", + "description": "Aromas include tropical fruit, broom, brimstone and dried herb. The palate isn't overly expressive, offering unripened apple, citrus and dried sage alongside brisk acidity.", + "designation": "Vulkà Bianco", + "points": "87", + "price": "", + "province": "Sicily & Sardinia", + "region_1": "Etna", + "region_2": "", + "taster_name": "Kerin O’Keefe", + "taster_twitter_handle": "@kerinokeefe", + "title": "Nicosia 2013 Vulkà Bianco (Etna)", + "variety": "White Blend", + "winery": "Nicosia" + }, + { + "row_id": "1", + "country": "Portugal", + "description": "This is ripe and fruity, a wine that is smooth while still structured. Firm tannins are filled out with juicy red berry fruits and freshened with acidity. It's already drinkable, although it will certainly be better from 2016.", + "designation": "Avidagos", + "points": "87", + "price": "15.0", + "province": "Douro", + "region_1": "", + "region_2": "", + "taster_name": "Roger Voss", + "taster_twitter_handle": "@vossroger", + "title": "Quinta dos Avidagos 2011 Avidagos Red (Douro)", + "variety": "Portuguese Red", + "winery": "Quinta dos Avidagos" + }, + { + "row_id": "2", + "country": "US", + "description": "Tart and snappy, the flavors of lime flesh and rind dominate. Some green pineapple pokes through, with crisp acidity underscoring the flavors. The wine was all stainless-steel fermented.", + "designation": "", + "points": "87", + "price": "14.0", + "province": "Oregon", + "region_1": "Willamette Valley", + "region_2": "Willamette Valley", + "taster_name": "Paul Gregutt", + "taster_twitter_handle": "@paulgwine", + "title": "Rainstorm 2013 Pinot Gris (Willamette Valley)", + "variety": "Pinot Gris", + "winery": "Rainstorm" + }, + { + "row_id": "3", + "country": "US", + "description": "Pineapple rind, lemon pith and orange blossom start off the aromas. The palate is a bit more opulent, with notes of honey-drizzled guava and mango giving way to a slightly astringent, semidry finish.", + "designation": "Reserve Late Harvest", + "points": "87", + "price": "13.0", + "province": "Michigan", + "region_1": "Lake Michigan Shore", + "region_2": "", + "taster_name": "Alexander Peartree", + "taster_twitter_handle": "", + "title": "St. Julian 2013 Reserve Late Harvest Riesling (Lake Michigan Shore)", + "variety": "Riesling", + "winery": "St. Julian" + }, + { + "row_id": "4", + "country": "US", + "description": "Much like the regular bottling from 2012, this comes across as rather rough and tannic, with rustic, earthy, herbal characteristics. Nonetheless, if you think of it as a pleasantly unfussy country wine, it's a good companion to a hearty winter stew.", + "designation": "Vintner's Reserve Wild Child Block", + "points": "87", + "price": "65.0", + "province": "Oregon", + "region_1": "Willamette Valley", + "region_2": "Willamette Valley", + "taster_name": "Paul Gregutt", + "taster_twitter_handle": "@paulgwine", + "title": "Sweet Cheeks 2012 Vintner's Reserve Wild Child Block Pinot Noir (Willamette Valley)", + "variety": "Pinot Noir", + "winery": "Sweet Cheeks" + } + ] +} + +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": "c18", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=price.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "price", + "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": 90.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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/c18/artifacts/v2q_c18_b4989361c23798ca/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b4989361c23798ca/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..9076126fc53358f855d87a2ccd50a5f7b3fe9b1f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b4989361c23798ca/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-2d9c-78c3-b47b-5c4b7887b751"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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/c18/artifacts/v2q_c18_b4989361c23798ca/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b4989361c23798ca/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0269b8eef06e7a340ad98fc39d123cd5aef4e345 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b4989361c23798ca/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-2d9c-78c3-b47b-5c4b7887b751"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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/c18/artifacts/v2q_c18_b4989361c23798ca/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b4989361c23798ca/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e18a4318cea899dc3dd37fa1d02247aeabdbe2ef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b4989361c23798ca/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-3d47-72f2-bcc8-71bc523eef38"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"price\\\",\\n COUNT(*) AS \\\"support\\\"\\nFROM \\\"c18\\\"\\nGROUP BY \\\"price\\\"\\nORDER BY \\\"support\\\" ASC, \\\"price\\\"\\nLIMIT 11;\",\"notes\":\"Counts rows for each distinct \\\"price\\\" value in \\\"c18\\\" and returns the 11 lowest-support groups, following the provided template exactly.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14853,"cached_input_tokens":12032,"output_tokens":442,"reasoning_output_tokens":345}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b4989361c23798ca/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b4989361c23798ca/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..2382a4916b3f5c113abd906db965cabbc2119712 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b4989361c23798ca/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n \"price\",\n COUNT(*) AS \"support\"\nFROM \"c18\"\nGROUP BY \"price\"\nORDER BY \"support\" ASC, \"price\"\nLIMIT 11;","notes":"Counts rows for each distinct \"price\" value in \"c18\" and returns the 11 lowest-support groups, following the provided template exactly."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b4989361c23798ca/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b4989361c23798ca/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/c18/artifacts/v2q_c18_b4989361c23798ca/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b4989361c23798ca/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/c18/artifacts/v2q_c18_b7faa1338071d92f/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b7faa1338071d92f/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..514e07314bae77d4129705afc62c0a02bcd7cc6b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b7faa1338071d92f/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10308, "bytes_utf8": 10312, "lines": 266, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 654, "bytes_utf8": 654, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14966, "cached_input_tokens": 13696, "output_tokens": 703, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b7faa1338071d92f/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b7faa1338071d92f/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..8c0cc4aacab1f587ed0357b53a7ee165cc3576c1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b7faa1338071d92f/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "c18", + "model": "v2-cli:codex", + "run_id": "v2q_c18_b7faa1338071d92f", + "api_calls": 0, + "input_tokens": 14966, + "cached_input_tokens": 13696, + "output_tokens": 703, + "total_tokens": 15669, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15555.06, + "sql_execution_elapsed_ms_total": 164.22, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b7faa1338071d92f/cli/conversation.jsonl", + "note": "Executed through a 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/c18/artifacts/v2q_c18_b7faa1338071d92f/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b7faa1338071d92f/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..cdde98648f0710e898b2639b2a97415b7547cde8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b7faa1338071d92f/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:37:27.958658+00:00", + "ended_at": "2026-05-19T15:37:43.513744+00:00", + "elapsed_ms": 15555.06, + "prompt_metrics": { + "chars": 10308, + "bytes_utf8": 10312, + "lines": 266, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1047, + "bytes_utf8": 1047, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 654, + "bytes_utf8": 654, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14966, + "cached_input_tokens": 13696, + "output_tokens": 703, + "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/c18/artifacts/v2q_c18_b7faa1338071d92f/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b7faa1338071d92f/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..bb4a8afd2473b87aad6a3128a00982457ac28635 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b7faa1338071d92f/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,266 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c18 +- dataset_name: Wine Reviews +- table_name: c18 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 13 feature columns and target `country`. +- task_type: classification +- target_column: country +- main_row_count: 129971 +- important_fields: +- row_id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for row id. +- country: role=target, type=categorical_target. tags=['condition_candidate', 'target_candidate', 'missingness_candidate'] desc=Target field for country. +- description: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for description. +- designation: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for designation. +- points: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for points. +- price: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for price. +- province: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for province. +- region_1: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for region 1. +- region_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for region 2. +- taster_name: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for taster name. +- taster_twitter_handle: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for taster twitter handle. +- title: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for title. +- variety: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for variety. +- winery: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for winery. +- useful_field_combinations: [['points', 'price', 'country'], ['points', 'points', 'country']] +- fields_requiring_caution: ['country', 'description', 'designation', 'price'] +- source_url: https://www.kaggle.com/datasets/zynicide/wine-reviews + +SQLite schema snapshot: +{ + "table_name": "c18", + "quoted_table_name": "\"c18\"", + "row_count": 129971, + "columns": [ + { + "name": "row_id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "description", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "designation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "points", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "province", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "taster_name", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "taster_twitter_handle", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "title", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "variety", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "winery", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "row_id": "0", + "country": "Italy", + "description": "Aromas include tropical fruit, broom, brimstone and dried herb. The palate isn't overly expressive, offering unripened apple, citrus and dried sage alongside brisk acidity.", + "designation": "Vulkà Bianco", + "points": "87", + "price": "", + "province": "Sicily & Sardinia", + "region_1": "Etna", + "region_2": "", + "taster_name": "Kerin O’Keefe", + "taster_twitter_handle": "@kerinokeefe", + "title": "Nicosia 2013 Vulkà Bianco (Etna)", + "variety": "White Blend", + "winery": "Nicosia" + }, + { + "row_id": "1", + "country": "Portugal", + "description": "This is ripe and fruity, a wine that is smooth while still structured. Firm tannins are filled out with juicy red berry fruits and freshened with acidity. It's already drinkable, although it will certainly be better from 2016.", + "designation": "Avidagos", + "points": "87", + "price": "15.0", + "province": "Douro", + "region_1": "", + "region_2": "", + "taster_name": "Roger Voss", + "taster_twitter_handle": "@vossroger", + "title": "Quinta dos Avidagos 2011 Avidagos Red (Douro)", + "variety": "Portuguese Red", + "winery": "Quinta dos Avidagos" + }, + { + "row_id": "2", + "country": "US", + "description": "Tart and snappy, the flavors of lime flesh and rind dominate. Some green pineapple pokes through, with crisp acidity underscoring the flavors. The wine was all stainless-steel fermented.", + "designation": "", + "points": "87", + "price": "14.0", + "province": "Oregon", + "region_1": "Willamette Valley", + "region_2": "Willamette Valley", + "taster_name": "Paul Gregutt", + "taster_twitter_handle": "@paulgwine", + "title": "Rainstorm 2013 Pinot Gris (Willamette Valley)", + "variety": "Pinot Gris", + "winery": "Rainstorm" + }, + { + "row_id": "3", + "country": "US", + "description": "Pineapple rind, lemon pith and orange blossom start off the aromas. The palate is a bit more opulent, with notes of honey-drizzled guava and mango giving way to a slightly astringent, semidry finish.", + "designation": "Reserve Late Harvest", + "points": "87", + "price": "13.0", + "province": "Michigan", + "region_1": "Lake Michigan Shore", + "region_2": "", + "taster_name": "Alexander Peartree", + "taster_twitter_handle": "", + "title": "St. Julian 2013 Reserve Late Harvest Riesling (Lake Michigan Shore)", + "variety": "Riesling", + "winery": "St. Julian" + }, + { + "row_id": "4", + "country": "US", + "description": "Much like the regular bottling from 2012, this comes across as rather rough and tannic, with rustic, earthy, herbal characteristics. Nonetheless, if you think of it as a pleasantly unfussy country wine, it's a good companion to a hearty winter stew.", + "designation": "Vintner's Reserve Wild Child Block", + "points": "87", + "price": "65.0", + "province": "Oregon", + "region_1": "Willamette Valley", + "region_2": "Willamette Valley", + "taster_name": "Paul Gregutt", + "taster_twitter_handle": "@paulgwine", + "title": "Sweet Cheeks 2012 Vintner's Reserve Wild Child Block Pinot Noir (Willamette Valley)", + "variety": "Pinot Noir", + "winery": "Sweet Cheeks" + } + ] +} + +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": "c18", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=taster_name, measure_col=points.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "taster_name", + "measure_col": "points", + "item_col": "region_1", + "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": 90.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/c18/artifacts/v2q_c18_b7faa1338071d92f/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b7faa1338071d92f/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ed9a2b338af37c14dc7496bf4b958168521829ec --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b7faa1338071d92f/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e2-8785-7502-8c79-8f041830476d"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"taster_name\\\", \\\"region_1\\\",\\n SUM(CAST(\\\"points\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"points\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"points\\\" AS REAL))) OVER (PARTITION BY \\\"taster_name\\\") AS share_within_group\\nFROM \\\"c18\\\"\\nWHERE \\\"points\\\" IS NOT NULL AND \\\"points\\\" <> ''\\nGROUP BY \\\"taster_name\\\", \\\"region_1\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the provided Within-Group Share of Total template with group_col=\\\"taster_name\\\", item_col=\\\"region_1\\\", and measure_col=\\\"points\\\". CAST to REAL is used because \\\"points\\\" is stored as TEXT in the schema.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14966,"cached_input_tokens":13696,"output_tokens":703,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b7faa1338071d92f/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b7faa1338071d92f/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4d893149536076c10498eaba2b498e4d83c0fb3f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b7faa1338071d92f/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"taster_name\", \"region_1\",\n SUM(CAST(\"points\" AS REAL)) AS total_measure,\n SUM(CAST(\"points\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"points\" AS REAL))) OVER (PARTITION BY \"taster_name\") AS share_within_group\nFROM \"c18\"\nWHERE \"points\" IS NOT NULL AND \"points\" <> ''\nGROUP BY \"taster_name\", \"region_1\"\nORDER BY share_within_group DESC;","notes":"Applied the provided Within-Group Share of Total template with group_col=\"taster_name\", item_col=\"region_1\", and measure_col=\"points\". CAST to REAL is used because \"points\" 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/c18/artifacts/v2q_c18_b7faa1338071d92f/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b7faa1338071d92f/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/c18/artifacts/v2q_c18_bd78b3c30d34a824/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_bd78b3c30d34a824/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7a9cddbbc0e987ccb79c53001eb382d75a50cf31 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_bd78b3c30d34a824/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": "2026-05-19T16:06:19.101355+00:00", + "ended_at": "2026-05-19T16:06:22.105075+00:00", + "elapsed_ms": 3003.69, + "returncode": 1, + "prompt_metrics": { + "chars": 9882, + "bytes_utf8": 9886, + "lines": 262, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/c18/artifacts/v2q_c18_bd78b3c30d34a824/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_bd78b3c30d34a824/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..bbb89d4c2dafb41a362c0056785e87a0b12f6387 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_bd78b3c30d34a824/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": "2026-05-19T16:06:23.107662+00:00", + "ended_at": "2026-05-19T16:06:25.917176+00:00", + "elapsed_ms": 2809.47, + "returncode": 1, + "prompt_metrics": { + "chars": 9882, + "bytes_utf8": 9886, + "lines": 262, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/c18/artifacts/v2q_c18_bd78b3c30d34a824/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_bd78b3c30d34a824/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7159b74346ac96fa357c17d7b101f6ed915f550a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_bd78b3c30d34a824/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,262 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c18 +- dataset_name: Wine Reviews +- table_name: c18 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 13 feature columns and target `country`. +- task_type: classification +- target_column: country +- main_row_count: 129971 +- important_fields: +- row_id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for row id. +- country: role=target, type=categorical_target. tags=['condition_candidate', 'target_candidate', 'missingness_candidate'] desc=Target field for country. +- description: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for description. +- designation: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for designation. +- points: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for points. +- price: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for price. +- province: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for province. +- region_1: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for region 1. +- region_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for region 2. +- taster_name: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for taster name. +- taster_twitter_handle: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for taster twitter handle. +- title: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for title. +- variety: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for variety. +- winery: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for winery. +- useful_field_combinations: [['points', 'price', 'country'], ['points', 'points', 'country']] +- fields_requiring_caution: ['country', 'description', 'designation', 'price'] +- source_url: https://www.kaggle.com/datasets/zynicide/wine-reviews + +SQLite schema snapshot: +{ + "table_name": "c18", + "quoted_table_name": "\"c18\"", + "row_count": 129971, + "columns": [ + { + "name": "row_id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "description", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "designation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "points", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "province", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "taster_name", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "taster_twitter_handle", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "title", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "variety", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "winery", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "row_id": "0", + "country": "Italy", + "description": "Aromas include tropical fruit, broom, brimstone and dried herb. The palate isn't overly expressive, offering unripened apple, citrus and dried sage alongside brisk acidity.", + "designation": "Vulkà Bianco", + "points": "87", + "price": "", + "province": "Sicily & Sardinia", + "region_1": "Etna", + "region_2": "", + "taster_name": "Kerin O’Keefe", + "taster_twitter_handle": "@kerinokeefe", + "title": "Nicosia 2013 Vulkà Bianco (Etna)", + "variety": "White Blend", + "winery": "Nicosia" + }, + { + "row_id": "1", + "country": "Portugal", + "description": "This is ripe and fruity, a wine that is smooth while still structured. Firm tannins are filled out with juicy red berry fruits and freshened with acidity. It's already drinkable, although it will certainly be better from 2016.", + "designation": "Avidagos", + "points": "87", + "price": "15.0", + "province": "Douro", + "region_1": "", + "region_2": "", + "taster_name": "Roger Voss", + "taster_twitter_handle": "@vossroger", + "title": "Quinta dos Avidagos 2011 Avidagos Red (Douro)", + "variety": "Portuguese Red", + "winery": "Quinta dos Avidagos" + }, + { + "row_id": "2", + "country": "US", + "description": "Tart and snappy, the flavors of lime flesh and rind dominate. Some green pineapple pokes through, with crisp acidity underscoring the flavors. The wine was all stainless-steel fermented.", + "designation": "", + "points": "87", + "price": "14.0", + "province": "Oregon", + "region_1": "Willamette Valley", + "region_2": "Willamette Valley", + "taster_name": "Paul Gregutt", + "taster_twitter_handle": "@paulgwine", + "title": "Rainstorm 2013 Pinot Gris (Willamette Valley)", + "variety": "Pinot Gris", + "winery": "Rainstorm" + }, + { + "row_id": "3", + "country": "US", + "description": "Pineapple rind, lemon pith and orange blossom start off the aromas. The palate is a bit more opulent, with notes of honey-drizzled guava and mango giving way to a slightly astringent, semidry finish.", + "designation": "Reserve Late Harvest", + "points": "87", + "price": "13.0", + "province": "Michigan", + "region_1": "Lake Michigan Shore", + "region_2": "", + "taster_name": "Alexander Peartree", + "taster_twitter_handle": "", + "title": "St. Julian 2013 Reserve Late Harvest Riesling (Lake Michigan Shore)", + "variety": "Riesling", + "winery": "St. Julian" + }, + { + "row_id": "4", + "country": "US", + "description": "Much like the regular bottling from 2012, this comes across as rather rough and tannic, with rustic, earthy, herbal characteristics. Nonetheless, if you think of it as a pleasantly unfussy country wine, it's a good companion to a hearty winter stew.", + "designation": "Vintner's Reserve Wild Child Block", + "points": "87", + "price": "65.0", + "province": "Oregon", + "region_1": "Willamette Valley", + "region_2": "Willamette Valley", + "taster_name": "Paul Gregutt", + "taster_twitter_handle": "@paulgwine", + "title": "Sweet Cheeks 2012 Vintner's Reserve Wild Child Block Pinot Noir (Willamette Valley)", + "variety": "Pinot Noir", + "winery": "Sweet Cheeks" + } + ] +} + +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": "c18", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=price.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "price", + "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": 56702.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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/c18/artifacts/v2q_c18_bd78b3c30d34a824/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_bd78b3c30d34a824/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..7159b74346ac96fa357c17d7b101f6ed915f550a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_bd78b3c30d34a824/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,262 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c18 +- dataset_name: Wine Reviews +- table_name: c18 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 13 feature columns and target `country`. +- task_type: classification +- target_column: country +- main_row_count: 129971 +- important_fields: +- row_id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for row id. +- country: role=target, type=categorical_target. tags=['condition_candidate', 'target_candidate', 'missingness_candidate'] desc=Target field for country. +- description: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for description. +- designation: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for designation. +- points: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for points. +- price: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for price. +- province: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for province. +- region_1: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for region 1. +- region_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for region 2. +- taster_name: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for taster name. +- taster_twitter_handle: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for taster twitter handle. +- title: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for title. +- variety: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for variety. +- winery: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for winery. +- useful_field_combinations: [['points', 'price', 'country'], ['points', 'points', 'country']] +- fields_requiring_caution: ['country', 'description', 'designation', 'price'] +- source_url: https://www.kaggle.com/datasets/zynicide/wine-reviews + +SQLite schema snapshot: +{ + "table_name": "c18", + "quoted_table_name": "\"c18\"", + "row_count": 129971, + "columns": [ + { + "name": "row_id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "description", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "designation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "points", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "province", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "taster_name", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "taster_twitter_handle", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "title", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "variety", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "winery", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "row_id": "0", + "country": "Italy", + "description": "Aromas include tropical fruit, broom, brimstone and dried herb. The palate isn't overly expressive, offering unripened apple, citrus and dried sage alongside brisk acidity.", + "designation": "Vulkà Bianco", + "points": "87", + "price": "", + "province": "Sicily & Sardinia", + "region_1": "Etna", + "region_2": "", + "taster_name": "Kerin O’Keefe", + "taster_twitter_handle": "@kerinokeefe", + "title": "Nicosia 2013 Vulkà Bianco (Etna)", + "variety": "White Blend", + "winery": "Nicosia" + }, + { + "row_id": "1", + "country": "Portugal", + "description": "This is ripe and fruity, a wine that is smooth while still structured. Firm tannins are filled out with juicy red berry fruits and freshened with acidity. It's already drinkable, although it will certainly be better from 2016.", + "designation": "Avidagos", + "points": "87", + "price": "15.0", + "province": "Douro", + "region_1": "", + "region_2": "", + "taster_name": "Roger Voss", + "taster_twitter_handle": "@vossroger", + "title": "Quinta dos Avidagos 2011 Avidagos Red (Douro)", + "variety": "Portuguese Red", + "winery": "Quinta dos Avidagos" + }, + { + "row_id": "2", + "country": "US", + "description": "Tart and snappy, the flavors of lime flesh and rind dominate. Some green pineapple pokes through, with crisp acidity underscoring the flavors. The wine was all stainless-steel fermented.", + "designation": "", + "points": "87", + "price": "14.0", + "province": "Oregon", + "region_1": "Willamette Valley", + "region_2": "Willamette Valley", + "taster_name": "Paul Gregutt", + "taster_twitter_handle": "@paulgwine", + "title": "Rainstorm 2013 Pinot Gris (Willamette Valley)", + "variety": "Pinot Gris", + "winery": "Rainstorm" + }, + { + "row_id": "3", + "country": "US", + "description": "Pineapple rind, lemon pith and orange blossom start off the aromas. The palate is a bit more opulent, with notes of honey-drizzled guava and mango giving way to a slightly astringent, semidry finish.", + "designation": "Reserve Late Harvest", + "points": "87", + "price": "13.0", + "province": "Michigan", + "region_1": "Lake Michigan Shore", + "region_2": "", + "taster_name": "Alexander Peartree", + "taster_twitter_handle": "", + "title": "St. Julian 2013 Reserve Late Harvest Riesling (Lake Michigan Shore)", + "variety": "Riesling", + "winery": "St. Julian" + }, + { + "row_id": "4", + "country": "US", + "description": "Much like the regular bottling from 2012, this comes across as rather rough and tannic, with rustic, earthy, herbal characteristics. Nonetheless, if you think of it as a pleasantly unfussy country wine, it's a good companion to a hearty winter stew.", + "designation": "Vintner's Reserve Wild Child Block", + "points": "87", + "price": "65.0", + "province": "Oregon", + "region_1": "Willamette Valley", + "region_2": "Willamette Valley", + "taster_name": "Paul Gregutt", + "taster_twitter_handle": "@paulgwine", + "title": "Sweet Cheeks 2012 Vintner's Reserve Wild Child Block Pinot Noir (Willamette Valley)", + "variety": "Pinot Noir", + "winery": "Sweet Cheeks" + } + ] +} + +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": "c18", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=price.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "price", + "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": 56702.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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/c18/artifacts/v2q_c18_bd78b3c30d34a824/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_bd78b3c30d34a824/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a5d19e89008aaeba5bbb9145a15d4b144028c6a6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_bd78b3c30d34a824/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-f1d4-7122-9d45-785e5a91eda0"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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/c18/artifacts/v2q_c18_bd78b3c30d34a824/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_bd78b3c30d34a824/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ae3736bce44a00f482136ea40f978d3e2cab8104 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_bd78b3c30d34a824/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-f1d4-7122-9d45-785e5a91eda0"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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/c18/artifacts/v2q_c18_bd78b3c30d34a824/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_bd78b3c30d34a824/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a049003c4e4acd51f85a5b299e3672bd6333ccb2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_bd78b3c30d34a824/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-0199-7f81-b788-7f918391e569"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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/c18/artifacts/v2q_c18_bd78b3c30d34a824/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_bd78b3c30d34a824/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..6540191a88693e72daccc610152310436674909d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_bd78b3c30d34a824/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-0199-7f81-b788-7f918391e569"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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/c18/artifacts/v2q_c18_bd78b3c30d34a824/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_bd78b3c30d34a824/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/c18/artifacts/v2q_c18_bd78b3c30d34a824/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_bd78b3c30d34a824/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/c18/artifacts/v2q_c18_bf2833380889ec05/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_bf2833380889ec05/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..dccb37823dd68608e49ec2a2e3b49cdffc7247de --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_bf2833380889ec05/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:00:20.463079+00:00", + "ended_at": "2026-05-19T16:00:23.590498+00:00", + "elapsed_ms": 3127.39, + "returncode": 1, + "prompt_metrics": { + "chars": 10139, + "bytes_utf8": 10143, + "lines": 267, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/c18/artifacts/v2q_c18_bf2833380889ec05/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_bf2833380889ec05/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..800ec078d7c44304b5f7d07628162704ad36286c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_bf2833380889ec05/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:00:24.593962+00:00", + "ended_at": "2026-05-19T16:00:27.584471+00:00", + "elapsed_ms": 2990.46, + "returncode": 1, + "prompt_metrics": { + "chars": 10139, + "bytes_utf8": 10143, + "lines": 267, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 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/c18/artifacts/v2q_c18_bf2833380889ec05/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_bf2833380889ec05/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e5211012123d1c16d82e08286cb473b3ee419527 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_bf2833380889ec05/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,267 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c18 +- dataset_name: Wine Reviews +- table_name: c18 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 13 feature columns and target `country`. +- task_type: classification +- target_column: country +- main_row_count: 129971 +- important_fields: +- row_id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for row id. +- country: role=target, type=categorical_target. tags=['condition_candidate', 'target_candidate', 'missingness_candidate'] desc=Target field for country. +- description: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for description. +- designation: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for designation. +- points: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for points. +- price: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for price. +- province: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for province. +- region_1: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for region 1. +- region_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for region 2. +- taster_name: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for taster name. +- taster_twitter_handle: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for taster twitter handle. +- title: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for title. +- variety: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for variety. +- winery: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for winery. +- useful_field_combinations: [['points', 'price', 'country'], ['points', 'points', 'country']] +- fields_requiring_caution: ['country', 'description', 'designation', 'price'] +- source_url: https://www.kaggle.com/datasets/zynicide/wine-reviews + +SQLite schema snapshot: +{ + "table_name": "c18", + "quoted_table_name": "\"c18\"", + "row_count": 129971, + "columns": [ + { + "name": "row_id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "description", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "designation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "points", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "province", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "taster_name", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "taster_twitter_handle", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "title", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "variety", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "winery", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "row_id": "0", + "country": "Italy", + "description": "Aromas include tropical fruit, broom, brimstone and dried herb. The palate isn't overly expressive, offering unripened apple, citrus and dried sage alongside brisk acidity.", + "designation": "Vulkà Bianco", + "points": "87", + "price": "", + "province": "Sicily & Sardinia", + "region_1": "Etna", + "region_2": "", + "taster_name": "Kerin O’Keefe", + "taster_twitter_handle": "@kerinokeefe", + "title": "Nicosia 2013 Vulkà Bianco (Etna)", + "variety": "White Blend", + "winery": "Nicosia" + }, + { + "row_id": "1", + "country": "Portugal", + "description": "This is ripe and fruity, a wine that is smooth while still structured. Firm tannins are filled out with juicy red berry fruits and freshened with acidity. It's already drinkable, although it will certainly be better from 2016.", + "designation": "Avidagos", + "points": "87", + "price": "15.0", + "province": "Douro", + "region_1": "", + "region_2": "", + "taster_name": "Roger Voss", + "taster_twitter_handle": "@vossroger", + "title": "Quinta dos Avidagos 2011 Avidagos Red (Douro)", + "variety": "Portuguese Red", + "winery": "Quinta dos Avidagos" + }, + { + "row_id": "2", + "country": "US", + "description": "Tart and snappy, the flavors of lime flesh and rind dominate. Some green pineapple pokes through, with crisp acidity underscoring the flavors. The wine was all stainless-steel fermented.", + "designation": "", + "points": "87", + "price": "14.0", + "province": "Oregon", + "region_1": "Willamette Valley", + "region_2": "Willamette Valley", + "taster_name": "Paul Gregutt", + "taster_twitter_handle": "@paulgwine", + "title": "Rainstorm 2013 Pinot Gris (Willamette Valley)", + "variety": "Pinot Gris", + "winery": "Rainstorm" + }, + { + "row_id": "3", + "country": "US", + "description": "Pineapple rind, lemon pith and orange blossom start off the aromas. The palate is a bit more opulent, with notes of honey-drizzled guava and mango giving way to a slightly astringent, semidry finish.", + "designation": "Reserve Late Harvest", + "points": "87", + "price": "13.0", + "province": "Michigan", + "region_1": "Lake Michigan Shore", + "region_2": "", + "taster_name": "Alexander Peartree", + "taster_twitter_handle": "", + "title": "St. Julian 2013 Reserve Late Harvest Riesling (Lake Michigan Shore)", + "variety": "Riesling", + "winery": "St. Julian" + }, + { + "row_id": "4", + "country": "US", + "description": "Much like the regular bottling from 2012, this comes across as rather rough and tannic, with rustic, earthy, herbal characteristics. Nonetheless, if you think of it as a pleasantly unfussy country wine, it's a good companion to a hearty winter stew.", + "designation": "Vintner's Reserve Wild Child Block", + "points": "87", + "price": "65.0", + "province": "Oregon", + "region_1": "Willamette Valley", + "region_2": "Willamette Valley", + "taster_name": "Paul Gregutt", + "taster_twitter_handle": "@paulgwine", + "title": "Sweet Cheeks 2012 Vintner's Reserve Wild Child Block Pinot Noir (Willamette Valley)", + "variety": "Pinot Noir", + "winery": "Sweet Cheeks" + } + ] +} + +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": "c18", + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=region_2, condition_col=country.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "region_2", + "condition_col": "country", + "condition_value": "US", + "positive_value": "US", + "negative_value": "Portugal", + "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": 90.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/c18/artifacts/v2q_c18_bf2833380889ec05/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_bf2833380889ec05/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e5211012123d1c16d82e08286cb473b3ee419527 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_bf2833380889ec05/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,267 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c18 +- dataset_name: Wine Reviews +- table_name: c18 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 13 feature columns and target `country`. +- task_type: classification +- target_column: country +- main_row_count: 129971 +- important_fields: +- row_id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for row id. +- country: role=target, type=categorical_target. tags=['condition_candidate', 'target_candidate', 'missingness_candidate'] desc=Target field for country. +- description: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for description. +- designation: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for designation. +- points: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for points. +- price: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for price. +- province: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for province. +- region_1: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for region 1. +- region_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for region 2. +- taster_name: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for taster name. +- taster_twitter_handle: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for taster twitter handle. +- title: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for title. +- variety: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for variety. +- winery: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for winery. +- useful_field_combinations: [['points', 'price', 'country'], ['points', 'points', 'country']] +- fields_requiring_caution: ['country', 'description', 'designation', 'price'] +- source_url: https://www.kaggle.com/datasets/zynicide/wine-reviews + +SQLite schema snapshot: +{ + "table_name": "c18", + "quoted_table_name": "\"c18\"", + "row_count": 129971, + "columns": [ + { + "name": "row_id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "description", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "designation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "points", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "province", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "taster_name", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "taster_twitter_handle", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "title", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "variety", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "winery", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "row_id": "0", + "country": "Italy", + "description": "Aromas include tropical fruit, broom, brimstone and dried herb. The palate isn't overly expressive, offering unripened apple, citrus and dried sage alongside brisk acidity.", + "designation": "Vulkà Bianco", + "points": "87", + "price": "", + "province": "Sicily & Sardinia", + "region_1": "Etna", + "region_2": "", + "taster_name": "Kerin O’Keefe", + "taster_twitter_handle": "@kerinokeefe", + "title": "Nicosia 2013 Vulkà Bianco (Etna)", + "variety": "White Blend", + "winery": "Nicosia" + }, + { + "row_id": "1", + "country": "Portugal", + "description": "This is ripe and fruity, a wine that is smooth while still structured. Firm tannins are filled out with juicy red berry fruits and freshened with acidity. It's already drinkable, although it will certainly be better from 2016.", + "designation": "Avidagos", + "points": "87", + "price": "15.0", + "province": "Douro", + "region_1": "", + "region_2": "", + "taster_name": "Roger Voss", + "taster_twitter_handle": "@vossroger", + "title": "Quinta dos Avidagos 2011 Avidagos Red (Douro)", + "variety": "Portuguese Red", + "winery": "Quinta dos Avidagos" + }, + { + "row_id": "2", + "country": "US", + "description": "Tart and snappy, the flavors of lime flesh and rind dominate. Some green pineapple pokes through, with crisp acidity underscoring the flavors. The wine was all stainless-steel fermented.", + "designation": "", + "points": "87", + "price": "14.0", + "province": "Oregon", + "region_1": "Willamette Valley", + "region_2": "Willamette Valley", + "taster_name": "Paul Gregutt", + "taster_twitter_handle": "@paulgwine", + "title": "Rainstorm 2013 Pinot Gris (Willamette Valley)", + "variety": "Pinot Gris", + "winery": "Rainstorm" + }, + { + "row_id": "3", + "country": "US", + "description": "Pineapple rind, lemon pith and orange blossom start off the aromas. The palate is a bit more opulent, with notes of honey-drizzled guava and mango giving way to a slightly astringent, semidry finish.", + "designation": "Reserve Late Harvest", + "points": "87", + "price": "13.0", + "province": "Michigan", + "region_1": "Lake Michigan Shore", + "region_2": "", + "taster_name": "Alexander Peartree", + "taster_twitter_handle": "", + "title": "St. Julian 2013 Reserve Late Harvest Riesling (Lake Michigan Shore)", + "variety": "Riesling", + "winery": "St. Julian" + }, + { + "row_id": "4", + "country": "US", + "description": "Much like the regular bottling from 2012, this comes across as rather rough and tannic, with rustic, earthy, herbal characteristics. Nonetheless, if you think of it as a pleasantly unfussy country wine, it's a good companion to a hearty winter stew.", + "designation": "Vintner's Reserve Wild Child Block", + "points": "87", + "price": "65.0", + "province": "Oregon", + "region_1": "Willamette Valley", + "region_2": "Willamette Valley", + "taster_name": "Paul Gregutt", + "taster_twitter_handle": "@paulgwine", + "title": "Sweet Cheeks 2012 Vintner's Reserve Wild Child Block Pinot Noir (Willamette Valley)", + "variety": "Pinot Noir", + "winery": "Sweet Cheeks" + } + ] +} + +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": "c18", + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=region_2, condition_col=country.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "region_2", + "condition_col": "country", + "condition_value": "US", + "positive_value": "US", + "negative_value": "Portugal", + "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": 90.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/c18/artifacts/v2q_c18_bf2833380889ec05/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_bf2833380889ec05/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..4502b5bf0bea8d2fc4b5128cec861549b84272cf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_bf2833380889ec05/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f7-78f0-77f2-a392-b8a60e482109"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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/c18/artifacts/v2q_c18_bf2833380889ec05/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_bf2833380889ec05/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a79bbf2ce980979bebb6c7d54a2ef7299bf9524f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_bf2833380889ec05/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f7-78f0-77f2-a392-b8a60e482109"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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/c18/artifacts/v2q_c18_bf2833380889ec05/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_bf2833380889ec05/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e333b0d57f354412501f97b8fda5444423469651 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_bf2833380889ec05/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f7-893b-7763-ad86-515a23409f75"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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/c18/artifacts/v2q_c18_bf2833380889ec05/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_bf2833380889ec05/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..299d18761ddba5a3f8cb2bf8faae51d43e96e433 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_bf2833380889ec05/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f7-893b-7763-ad86-515a23409f75"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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/c18/artifacts/v2q_c18_bf2833380889ec05/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_bf2833380889ec05/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/c18/artifacts/v2q_c18_bf2833380889ec05/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_bf2833380889ec05/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/c18/artifacts/v2q_c18_c4b9d4e38719dd1e/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_c4b9d4e38719dd1e/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..23716489991daa2150882c904214be3e474a9a9f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_c4b9d4e38719dd1e/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10444, "bytes_utf8": 10448, "lines": 264, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 817, "bytes_utf8": 817, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14981, "cached_input_tokens": 13696, "output_tokens": 889, "reasoning_output_tokens": 656}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_c4b9d4e38719dd1e/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_c4b9d4e38719dd1e/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..0d4281d2e2ec335037fb35d41c4df1a9e075601d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_c4b9d4e38719dd1e/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "c18", + "model": "v2-cli:codex", + "run_id": "v2q_c18_c4b9d4e38719dd1e", + "api_calls": 0, + "input_tokens": 14981, + "cached_input_tokens": 13696, + "output_tokens": 889, + "total_tokens": 15870, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 21127.79, + "sql_execution_elapsed_ms_total": 139.07, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_c4b9d4e38719dd1e/cli/conversation.jsonl", + "note": "Executed through a 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/c18/artifacts/v2q_c18_c4b9d4e38719dd1e/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_c4b9d4e38719dd1e/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7f677ad23810cd32f29baf8ec858a4e095c6d4e6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_c4b9d4e38719dd1e/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:49:54.516560+00:00", + "ended_at": "2026-05-19T15:50:15.644383+00:00", + "elapsed_ms": 21127.79, + "prompt_metrics": { + "chars": 10444, + "bytes_utf8": 10448, + "lines": 264, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1581, + "bytes_utf8": 1581, + "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": 817, + "bytes_utf8": 817, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14981, + "cached_input_tokens": 13696, + "output_tokens": 889, + "reasoning_output_tokens": 656 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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/c18/artifacts/v2q_c18_c4b9d4e38719dd1e/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_c4b9d4e38719dd1e/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f6ccad51d9abe08b2966b37c6306bbb3b9183fda --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_c4b9d4e38719dd1e/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,264 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c18 +- dataset_name: Wine Reviews +- table_name: c18 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 13 feature columns and target `country`. +- task_type: classification +- target_column: country +- main_row_count: 129971 +- important_fields: +- row_id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for row id. +- country: role=target, type=categorical_target. tags=['condition_candidate', 'target_candidate', 'missingness_candidate'] desc=Target field for country. +- description: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for description. +- designation: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for designation. +- points: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for points. +- price: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for price. +- province: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for province. +- region_1: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for region 1. +- region_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for region 2. +- taster_name: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for taster name. +- taster_twitter_handle: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for taster twitter handle. +- title: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for title. +- variety: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for variety. +- winery: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for winery. +- useful_field_combinations: [['points', 'price', 'country'], ['points', 'points', 'country']] +- fields_requiring_caution: ['country', 'description', 'designation', 'price'] +- source_url: https://www.kaggle.com/datasets/zynicide/wine-reviews + +SQLite schema snapshot: +{ + "table_name": "c18", + "quoted_table_name": "\"c18\"", + "row_count": 129971, + "columns": [ + { + "name": "row_id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "description", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "designation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "points", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "province", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "taster_name", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "taster_twitter_handle", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "title", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "variety", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "winery", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "row_id": "0", + "country": "Italy", + "description": "Aromas include tropical fruit, broom, brimstone and dried herb. The palate isn't overly expressive, offering unripened apple, citrus and dried sage alongside brisk acidity.", + "designation": "Vulkà Bianco", + "points": "87", + "price": "", + "province": "Sicily & Sardinia", + "region_1": "Etna", + "region_2": "", + "taster_name": "Kerin O’Keefe", + "taster_twitter_handle": "@kerinokeefe", + "title": "Nicosia 2013 Vulkà Bianco (Etna)", + "variety": "White Blend", + "winery": "Nicosia" + }, + { + "row_id": "1", + "country": "Portugal", + "description": "This is ripe and fruity, a wine that is smooth while still structured. Firm tannins are filled out with juicy red berry fruits and freshened with acidity. It's already drinkable, although it will certainly be better from 2016.", + "designation": "Avidagos", + "points": "87", + "price": "15.0", + "province": "Douro", + "region_1": "", + "region_2": "", + "taster_name": "Roger Voss", + "taster_twitter_handle": "@vossroger", + "title": "Quinta dos Avidagos 2011 Avidagos Red (Douro)", + "variety": "Portuguese Red", + "winery": "Quinta dos Avidagos" + }, + { + "row_id": "2", + "country": "US", + "description": "Tart and snappy, the flavors of lime flesh and rind dominate. Some green pineapple pokes through, with crisp acidity underscoring the flavors. The wine was all stainless-steel fermented.", + "designation": "", + "points": "87", + "price": "14.0", + "province": "Oregon", + "region_1": "Willamette Valley", + "region_2": "Willamette Valley", + "taster_name": "Paul Gregutt", + "taster_twitter_handle": "@paulgwine", + "title": "Rainstorm 2013 Pinot Gris (Willamette Valley)", + "variety": "Pinot Gris", + "winery": "Rainstorm" + }, + { + "row_id": "3", + "country": "US", + "description": "Pineapple rind, lemon pith and orange blossom start off the aromas. The palate is a bit more opulent, with notes of honey-drizzled guava and mango giving way to a slightly astringent, semidry finish.", + "designation": "Reserve Late Harvest", + "points": "87", + "price": "13.0", + "province": "Michigan", + "region_1": "Lake Michigan Shore", + "region_2": "", + "taster_name": "Alexander Peartree", + "taster_twitter_handle": "", + "title": "St. Julian 2013 Reserve Late Harvest Riesling (Lake Michigan Shore)", + "variety": "Riesling", + "winery": "St. Julian" + }, + { + "row_id": "4", + "country": "US", + "description": "Much like the regular bottling from 2012, this comes across as rather rough and tannic, with rustic, earthy, herbal characteristics. Nonetheless, if you think of it as a pleasantly unfussy country wine, it's a good companion to a hearty winter stew.", + "designation": "Vintner's Reserve Wild Child Block", + "points": "87", + "price": "65.0", + "province": "Oregon", + "region_1": "Willamette Valley", + "region_2": "Willamette Valley", + "taster_name": "Paul Gregutt", + "taster_twitter_handle": "@paulgwine", + "title": "Sweet Cheeks 2012 Vintner's Reserve Wild Child Block Pinot Noir (Willamette Valley)", + "variety": "Pinot Noir", + "winery": "Sweet Cheeks" + } + ] +} + +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": "c18", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=price, measure_col=points.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "price", + "measure_col": "points", + "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": 89.64, + "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/c18/artifacts/v2q_c18_c4b9d4e38719dd1e/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_c4b9d4e38719dd1e/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..bf0edb46b12a5afc5038791a044094006b13cf51 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_c4b9d4e38719dd1e/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,5 @@ +{"type":"thread.started","thread_id":"019e40ed-ebf1-7af1-ab94-e1a243683c6f"} +{"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 1990417, Requested 15616. Please try again in 180ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n SELECT CAST(NULLIF(\\\"price\\\", '') AS REAL) AS \\\"price\\\",\\n SUM(CAST(NULLIF(\\\"points\\\", '') AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"c18\\\"\\n WHERE NULLIF(\\\"price\\\", '') IS NOT NULL\\n AND NULLIF(\\\"points\\\", '') IS NOT NULL\\n GROUP BY CAST(NULLIF(\\\"price\\\", '') AS REAL)\\n),\\n\\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT g.\\\"price\\\", 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=\\\"price\\\" and measure_col=\\\"points\\\". Blank TEXT values are filtered and both fields are cast to REAL for SQLite-safe aggregation.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14981,"cached_input_tokens":13696,"output_tokens":889,"reasoning_output_tokens":656}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_c4b9d4e38719dd1e/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_c4b9d4e38719dd1e/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..66e9ae7b791b9bbfa27a1fd83c698369a492338c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_c4b9d4e38719dd1e/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH \"grouped\" AS (\n SELECT CAST(NULLIF(\"price\", '') AS REAL) AS \"price\",\n SUM(CAST(NULLIF(\"points\", '') AS REAL)) AS \"group_value\"\n FROM \"c18\"\n WHERE NULLIF(\"price\", '') IS NOT NULL\n AND NULLIF(\"points\", '') IS NOT NULL\n GROUP BY CAST(NULLIF(\"price\", '') AS REAL)\n),\n\"total\" AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM \"grouped\"\n)\nSELECT g.\"price\", 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=\"price\" and measure_col=\"points\". Blank TEXT values are filtered and both fields are cast to REAL for SQLite-safe aggregation."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_c4b9d4e38719dd1e/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_c4b9d4e38719dd1e/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/c18/artifacts/v2q_c18_eae7e4e9325fe096/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_eae7e4e9325fe096/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4f0a57f328f02b74a205018d8a49c241f3cc6768 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_eae7e4e9325fe096/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10063, "bytes_utf8": 10067, "lines": 264, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 2175, "bytes_utf8": 2175, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14881, "cached_input_tokens": 13696, "output_tokens": 3321, "reasoning_output_tokens": 2588}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_eae7e4e9325fe096/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_eae7e4e9325fe096/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..87bf2c1fb7c4948e55b78c8085f6a05a6d3704ca --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_eae7e4e9325fe096/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "c18", + "model": "v2-cli:codex", + "run_id": "v2q_c18_eae7e4e9325fe096", + "api_calls": 0, + "input_tokens": 14881, + "cached_input_tokens": 13696, + "output_tokens": 3321, + "total_tokens": 18202, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 46252.03, + "sql_execution_elapsed_ms_total": 536.92, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_eae7e4e9325fe096/cli/conversation.jsonl", + "note": "Executed through a 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/c18/artifacts/v2q_c18_eae7e4e9325fe096/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_eae7e4e9325fe096/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..870f8ea55841d1eb4cb89a63a80073d67bcdf721 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_eae7e4e9325fe096/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:58:50.624905+00:00", + "ended_at": "2026-05-19T15:59:36.876963+00:00", + "elapsed_ms": 46252.03, + "prompt_metrics": { + "chars": 10063, + "bytes_utf8": 10067, + "lines": 264, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2931, + "bytes_utf8": 2931, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 2175, + "bytes_utf8": 2175, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14881, + "cached_input_tokens": 13696, + "output_tokens": 3321, + "reasoning_output_tokens": 2588 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_eae7e4e9325fe096/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_eae7e4e9325fe096/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..185138d461ffd67ec13e24d2c93c8bfda5690cc6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_eae7e4e9325fe096/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,264 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c18 +- dataset_name: Wine Reviews +- table_name: c18 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 13 feature columns and target `country`. +- task_type: classification +- target_column: country +- main_row_count: 129971 +- important_fields: +- row_id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for row id. +- country: role=target, type=categorical_target. tags=['condition_candidate', 'target_candidate', 'missingness_candidate'] desc=Target field for country. +- description: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for description. +- designation: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for designation. +- points: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for points. +- price: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for price. +- province: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for province. +- region_1: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for region 1. +- region_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for region 2. +- taster_name: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for taster name. +- taster_twitter_handle: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for taster twitter handle. +- title: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for title. +- variety: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for variety. +- winery: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for winery. +- useful_field_combinations: [['points', 'price', 'country'], ['points', 'points', 'country']] +- fields_requiring_caution: ['country', 'description', 'designation', 'price'] +- source_url: https://www.kaggle.com/datasets/zynicide/wine-reviews + +SQLite schema snapshot: +{ + "table_name": "c18", + "quoted_table_name": "\"c18\"", + "row_count": 129971, + "columns": [ + { + "name": "row_id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "description", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "designation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "points", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "province", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "taster_name", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "taster_twitter_handle", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "title", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "variety", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "winery", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "row_id": "0", + "country": "Italy", + "description": "Aromas include tropical fruit, broom, brimstone and dried herb. The palate isn't overly expressive, offering unripened apple, citrus and dried sage alongside brisk acidity.", + "designation": "Vulkà Bianco", + "points": "87", + "price": "", + "province": "Sicily & Sardinia", + "region_1": "Etna", + "region_2": "", + "taster_name": "Kerin O’Keefe", + "taster_twitter_handle": "@kerinokeefe", + "title": "Nicosia 2013 Vulkà Bianco (Etna)", + "variety": "White Blend", + "winery": "Nicosia" + }, + { + "row_id": "1", + "country": "Portugal", + "description": "This is ripe and fruity, a wine that is smooth while still structured. Firm tannins are filled out with juicy red berry fruits and freshened with acidity. It's already drinkable, although it will certainly be better from 2016.", + "designation": "Avidagos", + "points": "87", + "price": "15.0", + "province": "Douro", + "region_1": "", + "region_2": "", + "taster_name": "Roger Voss", + "taster_twitter_handle": "@vossroger", + "title": "Quinta dos Avidagos 2011 Avidagos Red (Douro)", + "variety": "Portuguese Red", + "winery": "Quinta dos Avidagos" + }, + { + "row_id": "2", + "country": "US", + "description": "Tart and snappy, the flavors of lime flesh and rind dominate. Some green pineapple pokes through, with crisp acidity underscoring the flavors. The wine was all stainless-steel fermented.", + "designation": "", + "points": "87", + "price": "14.0", + "province": "Oregon", + "region_1": "Willamette Valley", + "region_2": "Willamette Valley", + "taster_name": "Paul Gregutt", + "taster_twitter_handle": "@paulgwine", + "title": "Rainstorm 2013 Pinot Gris (Willamette Valley)", + "variety": "Pinot Gris", + "winery": "Rainstorm" + }, + { + "row_id": "3", + "country": "US", + "description": "Pineapple rind, lemon pith and orange blossom start off the aromas. The palate is a bit more opulent, with notes of honey-drizzled guava and mango giving way to a slightly astringent, semidry finish.", + "designation": "Reserve Late Harvest", + "points": "87", + "price": "13.0", + "province": "Michigan", + "region_1": "Lake Michigan Shore", + "region_2": "", + "taster_name": "Alexander Peartree", + "taster_twitter_handle": "", + "title": "St. Julian 2013 Reserve Late Harvest Riesling (Lake Michigan Shore)", + "variety": "Riesling", + "winery": "St. Julian" + }, + { + "row_id": "4", + "country": "US", + "description": "Much like the regular bottling from 2012, this comes across as rather rough and tannic, with rustic, earthy, herbal characteristics. Nonetheless, if you think of it as a pleasantly unfussy country wine, it's a good companion to a hearty winter stew.", + "designation": "Vintner's Reserve Wild Child Block", + "points": "87", + "price": "65.0", + "province": "Oregon", + "region_1": "Willamette Valley", + "region_2": "Willamette Valley", + "taster_name": "Paul Gregutt", + "taster_twitter_handle": "@paulgwine", + "title": "Sweet Cheeks 2012 Vintner's Reserve Wild Child Block Pinot Noir (Willamette Valley)", + "variety": "Pinot Noir", + "winery": "Sweet Cheeks" + } + ] +} + +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": "c18", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=price, measure_col=points.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "price", + "measure_col": "points", + "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": 90.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/c18/artifacts/v2q_c18_eae7e4e9325fe096/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_eae7e4e9325fe096/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5ca45eb9dac771b78855601109600f80ee99f8ad --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_eae7e4e9325fe096/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f6-19fb-7fa0-805b-e42c828b11d0"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"filtered\\\" AS (\\n SELECT\\n CAST(\\\"price\\\" AS REAL) AS \\\"price\\\",\\n CAST(\\\"points\\\" AS REAL) AS \\\"points\\\"\\n FROM \\\"c18\\\"\\n WHERE \\\"price\\\" IS NOT NULL\\n AND TRIM(\\\"price\\\") <> ''\\n AND \\\"points\\\" IS NOT NULL\\n AND TRIM(\\\"points\\\") <> ''\\n),\\n\\\"ranked\\\" AS (\\n SELECT\\n \\\"price\\\",\\n \\\"points\\\",\\n ROW_NUMBER() OVER (PARTITION BY \\\"price\\\" ORDER BY \\\"points\\\") AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"price\\\") AS \\\"cnt\\\"\\n FROM \\\"filtered\\\"\\n),\\n\\\"positions\\\" AS (\\n SELECT DISTINCT\\n \\\"price\\\",\\n \\\"cnt\\\",\\n (1.0 + (0.9 * (\\\"cnt\\\" - 1))) AS \\\"pos\\\",\\n CAST((1.0 + (0.9 * (\\\"cnt\\\" - 1))) AS INTEGER) AS \\\"lower_rn\\\",\\n CAST((1.0 + (0.9 * (\\\"cnt\\\" - 1))) AS INTEGER) + CASE\\n WHEN (1.0 + (0.9 * (\\\"cnt\\\" - 1))) > CAST((1.0 + (0.9 * (\\\"cnt\\\" - 1))) AS INTEGER) THEN 1\\n ELSE 0\\n END AS \\\"upper_rn\\\"\\n FROM \\\"ranked\\\"\\n),\\n\\\"bounds\\\" AS (\\n SELECT\\n \\\"p\\\".\\\"price\\\",\\n \\\"p\\\".\\\"cnt\\\",\\n \\\"p\\\".\\\"pos\\\",\\n \\\"p\\\".\\\"lower_rn\\\",\\n \\\"p\\\".\\\"upper_rn\\\",\\n MAX(CASE WHEN \\\"r\\\".\\\"rn\\\" = \\\"p\\\".\\\"lower_rn\\\" THEN \\\"r\\\".\\\"points\\\" END) AS \\\"lower_val\\\",\\n MAX(CASE WHEN \\\"r\\\".\\\"rn\\\" = \\\"p\\\".\\\"upper_rn\\\" THEN \\\"r\\\".\\\"points\\\" END) AS \\\"upper_val\\\"\\n FROM \\\"positions\\\" AS \\\"p\\\"\\n JOIN \\\"ranked\\\" AS \\\"r\\\"\\n ON \\\"r\\\".\\\"price\\\" = \\\"p\\\".\\\"price\\\"\\n GROUP BY\\n \\\"p\\\".\\\"price\\\",\\n \\\"p\\\".\\\"cnt\\\",\\n \\\"p\\\".\\\"pos\\\",\\n \\\"p\\\".\\\"lower_rn\\\",\\n \\\"p\\\".\\\"upper_rn\\\"\\n)\\nSELECT\\n \\\"price\\\",\\n CASE\\n WHEN \\\"lower_val\\\" IS NULL THEN NULL\\n WHEN \\\"upper_rn\\\" = \\\"lower_rn\\\" OR \\\"upper_val\\\" IS NULL THEN \\\"lower_val\\\"\\n ELSE \\\"lower_val\\\" + ((\\\"pos\\\" - \\\"lower_rn\\\") * (\\\"upper_val\\\" - \\\"lower_val\\\"))\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"bounds\\\"\\nWHERE \\\"cnt\\\" >= 5\\nORDER BY \\\"percentile_measure\\\" DESC, \\\"price\\\" DESC\\nLIMIT 11;\",\"notes\":\"SQLite-compatible emulation of the template's 90th percentile over \\\"points\\\" within each exact \\\"price\\\" group, casting both text columns to REAL, excluding blank values, enforcing the provided minimum group size of 5, and returning the top 11 groups by descending percentile value.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14881,"cached_input_tokens":13696,"output_tokens":3321,"reasoning_output_tokens":2588}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_eae7e4e9325fe096/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_eae7e4e9325fe096/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5e0150880cb56a4a8ff338ae0dc41c9eb8189623 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_eae7e4e9325fe096/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"filtered\" AS (\n SELECT\n CAST(\"price\" AS REAL) AS \"price\",\n CAST(\"points\" AS REAL) AS \"points\"\n FROM \"c18\"\n WHERE \"price\" IS NOT NULL\n AND TRIM(\"price\") <> ''\n AND \"points\" IS NOT NULL\n AND TRIM(\"points\") <> ''\n),\n\"ranked\" AS (\n SELECT\n \"price\",\n \"points\",\n ROW_NUMBER() OVER (PARTITION BY \"price\" ORDER BY \"points\") AS \"rn\",\n COUNT(*) OVER (PARTITION BY \"price\") AS \"cnt\"\n FROM \"filtered\"\n),\n\"positions\" AS (\n SELECT DISTINCT\n \"price\",\n \"cnt\",\n (1.0 + (0.9 * (\"cnt\" - 1))) AS \"pos\",\n CAST((1.0 + (0.9 * (\"cnt\" - 1))) AS INTEGER) AS \"lower_rn\",\n CAST((1.0 + (0.9 * (\"cnt\" - 1))) AS INTEGER) + CASE\n WHEN (1.0 + (0.9 * (\"cnt\" - 1))) > CAST((1.0 + (0.9 * (\"cnt\" - 1))) AS INTEGER) THEN 1\n ELSE 0\n END AS \"upper_rn\"\n FROM \"ranked\"\n),\n\"bounds\" AS (\n SELECT\n \"p\".\"price\",\n \"p\".\"cnt\",\n \"p\".\"pos\",\n \"p\".\"lower_rn\",\n \"p\".\"upper_rn\",\n MAX(CASE WHEN \"r\".\"rn\" = \"p\".\"lower_rn\" THEN \"r\".\"points\" END) AS \"lower_val\",\n MAX(CASE WHEN \"r\".\"rn\" = \"p\".\"upper_rn\" THEN \"r\".\"points\" END) AS \"upper_val\"\n FROM \"positions\" AS \"p\"\n JOIN \"ranked\" AS \"r\"\n ON \"r\".\"price\" = \"p\".\"price\"\n GROUP BY\n \"p\".\"price\",\n \"p\".\"cnt\",\n \"p\".\"pos\",\n \"p\".\"lower_rn\",\n \"p\".\"upper_rn\"\n)\nSELECT\n \"price\",\n CASE\n WHEN \"lower_val\" IS NULL THEN NULL\n WHEN \"upper_rn\" = \"lower_rn\" OR \"upper_val\" IS NULL THEN \"lower_val\"\n ELSE \"lower_val\" + ((\"pos\" - \"lower_rn\") * (\"upper_val\" - \"lower_val\"))\n END AS \"percentile_measure\"\nFROM \"bounds\"\nWHERE \"cnt\" >= 5\nORDER BY \"percentile_measure\" DESC, \"price\" DESC\nLIMIT 11;","notes":"SQLite-compatible emulation of the template's 90th percentile over \"points\" within each exact \"price\" group, casting both text columns to REAL, excluding blank values, enforcing the provided minimum group size of 5, and returning the top 11 groups by descending percentile value."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_eae7e4e9325fe096/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_eae7e4e9325fe096/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/c18/artifacts/v2q_c18_f24bbd40cee67ce8/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f24bbd40cee67ce8/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b225ca7074237340f9442b2ac7b42544d2e1cf91 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f24bbd40cee67ce8/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10098, "bytes_utf8": 10102, "lines": 264, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 2100, "bytes_utf8": 2100, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14888, "cached_input_tokens": 13696, "output_tokens": 4155, "reasoning_output_tokens": 3438}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f24bbd40cee67ce8/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f24bbd40cee67ce8/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..25b275ae46260458ac9624102504955a8678b5dd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f24bbd40cee67ce8/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "c18", + "model": "v2-cli:codex", + "run_id": "v2q_c18_f24bbd40cee67ce8", + "api_calls": 0, + "input_tokens": 14888, + "cached_input_tokens": 13696, + "output_tokens": 4155, + "total_tokens": 19043, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 53397.12, + "sql_execution_elapsed_ms_total": 420.28, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f24bbd40cee67ce8/cli/conversation.jsonl", + "note": "Executed through a 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/c18/artifacts/v2q_c18_f24bbd40cee67ce8/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f24bbd40cee67ce8/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ae5aa874a9f9bbaa00946775bbd2ed688cb99e32 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f24bbd40cee67ce8/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:56:42.130128+00:00", + "ended_at": "2026-05-19T15:57:35.527273+00:00", + "elapsed_ms": 53397.12, + "prompt_metrics": { + "chars": 10098, + "bytes_utf8": 10102, + "lines": 264, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2763, + "bytes_utf8": 2763, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 2100, + "bytes_utf8": 2100, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14888, + "cached_input_tokens": 13696, + "output_tokens": 4155, + "reasoning_output_tokens": 3438 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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/c18/artifacts/v2q_c18_f24bbd40cee67ce8/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f24bbd40cee67ce8/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..103802b7c4f6a6900ae869aeffeaf70e74a27cb7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f24bbd40cee67ce8/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,264 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c18 +- dataset_name: Wine Reviews +- table_name: c18 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 13 feature columns and target `country`. +- task_type: classification +- target_column: country +- main_row_count: 129971 +- important_fields: +- row_id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for row id. +- country: role=target, type=categorical_target. tags=['condition_candidate', 'target_candidate', 'missingness_candidate'] desc=Target field for country. +- description: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for description. +- designation: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for designation. +- points: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for points. +- price: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for price. +- province: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for province. +- region_1: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for region 1. +- region_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for region 2. +- taster_name: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for taster name. +- taster_twitter_handle: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for taster twitter handle. +- title: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for title. +- variety: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for variety. +- winery: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for winery. +- useful_field_combinations: [['points', 'price', 'country'], ['points', 'points', 'country']] +- fields_requiring_caution: ['country', 'description', 'designation', 'price'] +- source_url: https://www.kaggle.com/datasets/zynicide/wine-reviews + +SQLite schema snapshot: +{ + "table_name": "c18", + "quoted_table_name": "\"c18\"", + "row_count": 129971, + "columns": [ + { + "name": "row_id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "description", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "designation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "points", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "province", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "taster_name", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "taster_twitter_handle", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "title", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "variety", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "winery", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "row_id": "0", + "country": "Italy", + "description": "Aromas include tropical fruit, broom, brimstone and dried herb. The palate isn't overly expressive, offering unripened apple, citrus and dried sage alongside brisk acidity.", + "designation": "Vulkà Bianco", + "points": "87", + "price": "", + "province": "Sicily & Sardinia", + "region_1": "Etna", + "region_2": "", + "taster_name": "Kerin O’Keefe", + "taster_twitter_handle": "@kerinokeefe", + "title": "Nicosia 2013 Vulkà Bianco (Etna)", + "variety": "White Blend", + "winery": "Nicosia" + }, + { + "row_id": "1", + "country": "Portugal", + "description": "This is ripe and fruity, a wine that is smooth while still structured. Firm tannins are filled out with juicy red berry fruits and freshened with acidity. It's already drinkable, although it will certainly be better from 2016.", + "designation": "Avidagos", + "points": "87", + "price": "15.0", + "province": "Douro", + "region_1": "", + "region_2": "", + "taster_name": "Roger Voss", + "taster_twitter_handle": "@vossroger", + "title": "Quinta dos Avidagos 2011 Avidagos Red (Douro)", + "variety": "Portuguese Red", + "winery": "Quinta dos Avidagos" + }, + { + "row_id": "2", + "country": "US", + "description": "Tart and snappy, the flavors of lime flesh and rind dominate. Some green pineapple pokes through, with crisp acidity underscoring the flavors. The wine was all stainless-steel fermented.", + "designation": "", + "points": "87", + "price": "14.0", + "province": "Oregon", + "region_1": "Willamette Valley", + "region_2": "Willamette Valley", + "taster_name": "Paul Gregutt", + "taster_twitter_handle": "@paulgwine", + "title": "Rainstorm 2013 Pinot Gris (Willamette Valley)", + "variety": "Pinot Gris", + "winery": "Rainstorm" + }, + { + "row_id": "3", + "country": "US", + "description": "Pineapple rind, lemon pith and orange blossom start off the aromas. The palate is a bit more opulent, with notes of honey-drizzled guava and mango giving way to a slightly astringent, semidry finish.", + "designation": "Reserve Late Harvest", + "points": "87", + "price": "13.0", + "province": "Michigan", + "region_1": "Lake Michigan Shore", + "region_2": "", + "taster_name": "Alexander Peartree", + "taster_twitter_handle": "", + "title": "St. Julian 2013 Reserve Late Harvest Riesling (Lake Michigan Shore)", + "variety": "Riesling", + "winery": "St. Julian" + }, + { + "row_id": "4", + "country": "US", + "description": "Much like the regular bottling from 2012, this comes across as rather rough and tannic, with rustic, earthy, herbal characteristics. Nonetheless, if you think of it as a pleasantly unfussy country wine, it's a good companion to a hearty winter stew.", + "designation": "Vintner's Reserve Wild Child Block", + "points": "87", + "price": "65.0", + "province": "Oregon", + "region_1": "Willamette Valley", + "region_2": "Willamette Valley", + "taster_name": "Paul Gregutt", + "taster_twitter_handle": "@paulgwine", + "title": "Sweet Cheeks 2012 Vintner's Reserve Wild Child Block Pinot Noir (Willamette Valley)", + "variety": "Pinot Noir", + "winery": "Sweet Cheeks" + } + ] +} + +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": "c18", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=taster_twitter_handle, measure_col=price.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "taster_twitter_handle", + "measure_col": "price", + "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": 22.48, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/c18/artifacts/v2q_c18_f24bbd40cee67ce8/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f24bbd40cee67ce8/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..63de1a0d06c2d36e0cd6e4e06ab77b7565eedf19 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f24bbd40cee67ce8/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f4-242d-7cc0-a5fb-aba8e5ecf564"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"filtered\\\" AS (\\n SELECT\\n \\\"taster_twitter_handle\\\" AS \\\"group_col\\\",\\n CAST(\\\"price\\\" AS REAL) AS \\\"measure_col\\\"\\n FROM \\\"c18\\\"\\n WHERE \\\"taster_twitter_handle\\\" IS NOT NULL\\n AND \\\"taster_twitter_handle\\\" <> ''\\n AND \\\"price\\\" IS NOT NULL\\n AND \\\"price\\\" <> ''\\n),\\n\\\"ranked\\\" AS (\\n SELECT\\n \\\"group_col\\\",\\n \\\"measure_col\\\",\\n ROW_NUMBER() OVER (PARTITION BY \\\"group_col\\\" ORDER BY \\\"measure_col\\\") AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"group_col\\\") AS \\\"cnt\\\"\\n FROM \\\"filtered\\\"\\n),\\n\\\"bounds\\\" AS (\\n SELECT DISTINCT\\n \\\"group_col\\\",\\n \\\"cnt\\\",\\n 1.0 + 0.95 * (\\\"cnt\\\" - 1) AS \\\"pos\\\",\\n CAST(1.0 + 0.95 * (\\\"cnt\\\" - 1) AS INT) AS \\\"lower_rn\\\",\\n CASE\\n WHEN 1.0 + 0.95 * (\\\"cnt\\\" - 1) > CAST(1.0 + 0.95 * (\\\"cnt\\\" - 1) AS INT)\\n THEN CAST(1.0 + 0.95 * (\\\"cnt\\\" - 1) AS INT) + 1\\n ELSE CAST(1.0 + 0.95 * (\\\"cnt\\\" - 1) AS INT)\\n END AS \\\"upper_rn\\\"\\n FROM \\\"ranked\\\"\\n WHERE \\\"cnt\\\" >= 5\\n),\\n\\\"picked\\\" AS (\\n SELECT\\n b.\\\"group_col\\\",\\n b.\\\"pos\\\",\\n b.\\\"lower_rn\\\",\\n b.\\\"upper_rn\\\",\\n MAX(CASE WHEN r.\\\"rn\\\" = b.\\\"lower_rn\\\" THEN r.\\\"measure_col\\\" END) AS \\\"lower_val\\\",\\n MAX(CASE WHEN r.\\\"rn\\\" = b.\\\"upper_rn\\\" THEN r.\\\"measure_col\\\" END) AS \\\"upper_val\\\"\\n FROM \\\"bounds\\\" AS b\\n JOIN \\\"ranked\\\" AS r\\n ON r.\\\"group_col\\\" = b.\\\"group_col\\\"\\n GROUP BY b.\\\"group_col\\\", b.\\\"pos\\\", b.\\\"lower_rn\\\", b.\\\"upper_rn\\\"\\n)\\nSELECT\\n \\\"group_col\\\" AS \\\"taster_twitter_handle\\\",\\n CASE\\n WHEN \\\"lower_val\\\" IS NULL THEN NULL\\n WHEN \\\"upper_rn\\\" = \\\"lower_rn\\\" OR \\\"upper_val\\\" IS NULL 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\\nLIMIT 19;\",\"notes\":\"Emulates PERCENTILE_CONT(0.95) in SQLite with window functions over non-empty numeric prices, grouped by non-empty \\\"taster_twitter_handle\\\". Applies a minimum group size of 5 and returns the top 19 groups by 95th-percentile price.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14888,"cached_input_tokens":13696,"output_tokens":4155,"reasoning_output_tokens":3438}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f24bbd40cee67ce8/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f24bbd40cee67ce8/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8a8178cdd7e724c42b050a22b85763678e2f6b84 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f24bbd40cee67ce8/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"filtered\" AS (\n SELECT\n \"taster_twitter_handle\" AS \"group_col\",\n CAST(\"price\" AS REAL) AS \"measure_col\"\n FROM \"c18\"\n WHERE \"taster_twitter_handle\" IS NOT NULL\n AND \"taster_twitter_handle\" <> ''\n AND \"price\" IS NOT NULL\n AND \"price\" <> ''\n),\n\"ranked\" AS (\n SELECT\n \"group_col\",\n \"measure_col\",\n ROW_NUMBER() OVER (PARTITION BY \"group_col\" ORDER BY \"measure_col\") AS \"rn\",\n COUNT(*) OVER (PARTITION BY \"group_col\") AS \"cnt\"\n FROM \"filtered\"\n),\n\"bounds\" AS (\n SELECT DISTINCT\n \"group_col\",\n \"cnt\",\n 1.0 + 0.95 * (\"cnt\" - 1) AS \"pos\",\n CAST(1.0 + 0.95 * (\"cnt\" - 1) AS INT) AS \"lower_rn\",\n CASE\n WHEN 1.0 + 0.95 * (\"cnt\" - 1) > CAST(1.0 + 0.95 * (\"cnt\" - 1) AS INT)\n THEN CAST(1.0 + 0.95 * (\"cnt\" - 1) AS INT) + 1\n ELSE CAST(1.0 + 0.95 * (\"cnt\" - 1) AS INT)\n END AS \"upper_rn\"\n FROM \"ranked\"\n WHERE \"cnt\" >= 5\n),\n\"picked\" AS (\n SELECT\n b.\"group_col\",\n b.\"pos\",\n b.\"lower_rn\",\n b.\"upper_rn\",\n MAX(CASE WHEN r.\"rn\" = b.\"lower_rn\" THEN r.\"measure_col\" END) AS \"lower_val\",\n MAX(CASE WHEN r.\"rn\" = b.\"upper_rn\" THEN r.\"measure_col\" END) AS \"upper_val\"\n FROM \"bounds\" AS b\n JOIN \"ranked\" AS r\n ON r.\"group_col\" = b.\"group_col\"\n GROUP BY b.\"group_col\", b.\"pos\", b.\"lower_rn\", b.\"upper_rn\"\n)\nSELECT\n \"group_col\" AS \"taster_twitter_handle\",\n CASE\n WHEN \"lower_val\" IS NULL THEN NULL\n WHEN \"upper_rn\" = \"lower_rn\" OR \"upper_val\" IS NULL 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\nLIMIT 19;","notes":"Emulates PERCENTILE_CONT(0.95) in SQLite with window functions over non-empty numeric prices, grouped by non-empty \"taster_twitter_handle\". Applies a minimum group size of 5 and returns the top 19 groups by 95th-percentile price."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f24bbd40cee67ce8/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f24bbd40cee67ce8/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/c18/artifacts/v2q_c18_f78c1e2fa20e9f84/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f78c1e2fa20e9f84/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8c6b49ed38b2e8f1098d7361defceb8ea6921ca7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f78c1e2fa20e9f84/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10217, "bytes_utf8": 10223, "lines": 268, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 405, "bytes_utf8": 409, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14946, "cached_input_tokens": 13696, "output_tokens": 426, "reasoning_output_tokens": 302}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f78c1e2fa20e9f84/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f78c1e2fa20e9f84/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..e0e27b7d0806a968a2f647697d2b8700d37d3a6a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f78c1e2fa20e9f84/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "c18", + "model": "v2-cli:codex", + "run_id": "v2q_c18_f78c1e2fa20e9f84", + "api_calls": 0, + "input_tokens": 14946, + "cached_input_tokens": 13696, + "output_tokens": 426, + "total_tokens": 15372, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9977.43, + "sql_execution_elapsed_ms_total": 36.24, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f78c1e2fa20e9f84/cli/conversation.jsonl", + "note": "Executed through a 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/c18/artifacts/v2q_c18_f78c1e2fa20e9f84/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f78c1e2fa20e9f84/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..db0a0fe63cadfb4d16792277990c9f9693a4bb09 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f78c1e2fa20e9f84/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:45:19.122760+00:00", + "ended_at": "2026-05-19T15:45:29.100236+00:00", + "elapsed_ms": 9977.43, + "prompt_metrics": { + "chars": 10217, + "bytes_utf8": 10223, + "lines": 268, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 776, + "bytes_utf8": 780, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 405, + "bytes_utf8": 409, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14946, + "cached_input_tokens": 13696, + "output_tokens": 426, + "reasoning_output_tokens": 302 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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/c18/artifacts/v2q_c18_f78c1e2fa20e9f84/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f78c1e2fa20e9f84/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..317e466cb9c63ac351c5752a44bb6b7b1199a09d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f78c1e2fa20e9f84/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,268 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c18 +- dataset_name: Wine Reviews +- table_name: c18 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 13 feature columns and target `country`. +- task_type: classification +- target_column: country +- main_row_count: 129971 +- important_fields: +- row_id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for row id. +- country: role=target, type=categorical_target. tags=['condition_candidate', 'target_candidate', 'missingness_candidate'] desc=Target field for country. +- description: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for description. +- designation: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for designation. +- points: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for points. +- price: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for price. +- province: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for province. +- region_1: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for region 1. +- region_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for region 2. +- taster_name: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for taster name. +- taster_twitter_handle: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for taster twitter handle. +- title: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for title. +- variety: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for variety. +- winery: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for winery. +- useful_field_combinations: [['points', 'price', 'country'], ['points', 'points', 'country']] +- fields_requiring_caution: ['country', 'description', 'designation', 'price'] +- source_url: https://www.kaggle.com/datasets/zynicide/wine-reviews + +SQLite schema snapshot: +{ + "table_name": "c18", + "quoted_table_name": "\"c18\"", + "row_count": 129971, + "columns": [ + { + "name": "row_id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "description", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "designation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "points", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "province", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "taster_name", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "taster_twitter_handle", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "title", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "variety", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "winery", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "row_id": "0", + "country": "Italy", + "description": "Aromas include tropical fruit, broom, brimstone and dried herb. The palate isn't overly expressive, offering unripened apple, citrus and dried sage alongside brisk acidity.", + "designation": "Vulkà Bianco", + "points": "87", + "price": "", + "province": "Sicily & Sardinia", + "region_1": "Etna", + "region_2": "", + "taster_name": "Kerin O’Keefe", + "taster_twitter_handle": "@kerinokeefe", + "title": "Nicosia 2013 Vulkà Bianco (Etna)", + "variety": "White Blend", + "winery": "Nicosia" + }, + { + "row_id": "1", + "country": "Portugal", + "description": "This is ripe and fruity, a wine that is smooth while still structured. Firm tannins are filled out with juicy red berry fruits and freshened with acidity. It's already drinkable, although it will certainly be better from 2016.", + "designation": "Avidagos", + "points": "87", + "price": "15.0", + "province": "Douro", + "region_1": "", + "region_2": "", + "taster_name": "Roger Voss", + "taster_twitter_handle": "@vossroger", + "title": "Quinta dos Avidagos 2011 Avidagos Red (Douro)", + "variety": "Portuguese Red", + "winery": "Quinta dos Avidagos" + }, + { + "row_id": "2", + "country": "US", + "description": "Tart and snappy, the flavors of lime flesh and rind dominate. Some green pineapple pokes through, with crisp acidity underscoring the flavors. The wine was all stainless-steel fermented.", + "designation": "", + "points": "87", + "price": "14.0", + "province": "Oregon", + "region_1": "Willamette Valley", + "region_2": "Willamette Valley", + "taster_name": "Paul Gregutt", + "taster_twitter_handle": "@paulgwine", + "title": "Rainstorm 2013 Pinot Gris (Willamette Valley)", + "variety": "Pinot Gris", + "winery": "Rainstorm" + }, + { + "row_id": "3", + "country": "US", + "description": "Pineapple rind, lemon pith and orange blossom start off the aromas. The palate is a bit more opulent, with notes of honey-drizzled guava and mango giving way to a slightly astringent, semidry finish.", + "designation": "Reserve Late Harvest", + "points": "87", + "price": "13.0", + "province": "Michigan", + "region_1": "Lake Michigan Shore", + "region_2": "", + "taster_name": "Alexander Peartree", + "taster_twitter_handle": "", + "title": "St. Julian 2013 Reserve Late Harvest Riesling (Lake Michigan Shore)", + "variety": "Riesling", + "winery": "St. Julian" + }, + { + "row_id": "4", + "country": "US", + "description": "Much like the regular bottling from 2012, this comes across as rather rough and tannic, with rustic, earthy, herbal characteristics. Nonetheless, if you think of it as a pleasantly unfussy country wine, it's a good companion to a hearty winter stew.", + "designation": "Vintner's Reserve Wild Child Block", + "points": "87", + "price": "65.0", + "province": "Oregon", + "region_1": "Willamette Valley", + "region_2": "Willamette Valley", + "taster_name": "Paul Gregutt", + "taster_twitter_handle": "@paulgwine", + "title": "Sweet Cheeks 2012 Vintner's Reserve Wild Child Block Pinot Noir (Willamette Valley)", + "variety": "Pinot Noir", + "winery": "Sweet Cheeks" + } + ] +} + +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": "c18", + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=price, group_col_2=region_2.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "price", + "group_col_2": "region_2", + "predicate_col": "taster_name", + "predicate_op": "=", + "predicate_value": "Kerin O’Keefe", + "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": 56702.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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/c18/artifacts/v2q_c18_f78c1e2fa20e9f84/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f78c1e2fa20e9f84/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..7201e76fc2bab766b156999358520efdd2a0528c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f78c1e2fa20e9f84/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e9-b814-7ed2-89bd-da66b918f38d"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"price\\\", \\\"region_2\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"c18\\\"\\nWHERE \\\"taster_name\\\" = 'Kerin O’Keefe'\\nGROUP BY \\\"price\\\", \\\"region_2\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Uses the provided filtered two-dimensional group count template with group_col=\\\"price\\\", group_col_2=\\\"region_2\\\", and predicate taster_name = 'Kerin O’Keefe'.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14946,"cached_input_tokens":13696,"output_tokens":426,"reasoning_output_tokens":302}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f78c1e2fa20e9f84/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f78c1e2fa20e9f84/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b700e74d70808b730d66077e939e9b4188119a3e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f78c1e2fa20e9f84/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"price\", \"region_2\", COUNT(*) AS \"row_count\"\nFROM \"c18\"\nWHERE \"taster_name\" = 'Kerin O’Keefe'\nGROUP BY \"price\", \"region_2\"\nORDER BY \"row_count\" DESC;","notes":"Uses the provided filtered two-dimensional group count template with group_col=\"price\", group_col_2=\"region_2\", and predicate taster_name = 'Kerin O’Keefe'."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f78c1e2fa20e9f84/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f78c1e2fa20e9f84/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391